Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label wearable devices. Show all posts
Showing posts with label wearable devices. Show all posts

Wednesday, July 8, 2026

Smart medical wristband tracks hidden arrhythmias to prevent strokes

 This finds the problem, but does nothing to prevent strokes! What EXACTLY needs to occur to prevent that stroke? Bad title! Your doctor better EXACTLY KNOW THE ANSWER!

Smart medical wristband tracks hidden arrhythmias to prevent strokes

According to the World Health Organization, cardiovascular diseases claim almost 20 million lives every year and remain the leading cause of death worldwide. Although they are most often associated with heart attacks or strokes, serious complications do not always begin suddenly - sometimes their onset is far less noticeable.

For doctors, this raises a difficult question: how can they record something that is not happening during an examination? A standard electrocardiogram (ECG) shows the heart's activity only at a specific moment, while even longer-term monitoring does not always coincide with less frequent episodes of heart rhythm disorders. As a result, some arrhythmias, particularly short episodes of atrial fibrillation, may go unnoticed until they cause more serious health problems.

As society ages and the prevalence of chronic diseases rises, this diagnostic gap is becoming more significant. Patients need monitoring not only in healthcare settings but also in their daily lives. For physicians, it is important to understand not just whether an abnormal heart rhythm occurred during a specific examination, but also how frequently such episodes happen, how long they last, under what conditions they arise, and whether their occurrence increases over time.

A system developed by Kaunas University of Technology (KTU) and other Lithuanian researchers aims to address this problem, and its solutions are being applied in Teltonika Telemedic's TeltoHeart medical wristband. The system enables continuous heart rhythm monitoring, allows a more detailed ECG recording to be made using the same device and transmits the data to a doctor remotely.

Particularly important for post-stroke patients

Professor Dr Vaidotas Marozas, Director of the Biomedical Engineering Institute at KTU, emphasizes that the system was first developed with patients in mind for whom undetected heart rhythm disorders can have particularly serious consequences. One such group is people who have suffered a stroke.

The team chose to focus on post-stroke patients because atrial fibrillation is often short-lived and asymptomatic. As a result, standard examination methods - an electrocardiogram in a clinic or even Holter monitoring, where a patient wears a heart rhythm recording device for one or several days - often fail to detect such episodes." 

Professor Dr Vaidotas Marozas, Director of the Biomedical Engineering Institute at KTU

According to the KTU professor, heart rhythm disorders, particularly atrial fibrillation, are directly linked to an increased risk of ischaemic stroke. If an arrhythmia goes undetected, the patient may not receive the appropriate treatment, which increases the likelihood of a recurrent stroke.

The technology developed and continuously improved by KTU researchers and Teltonika Telemedic enables continuous heart rhythm monitoring. When a suspicious episode is detected, the system alerts the patient via an on-screen notification or vibration. This allows the event to be captured precisely when it occurs rather than days or weeks later during a doctor's appointment.

It does not require adhesive electrodes or additional wires - the user simply touches the electrodes integrated into the device. Within about a minute, a more detailed ECG recording is made, showing the heart's electrical activity from several directions, and the data are then sent to the doctor.

In addition, the system will analyse not only the fact that an arrhythmia has occurred. It will use an arrhythmia aggregation parameter showing how episodes of rhythm disturbance are distributed over time - whether they occur evenly throughout the monitoring period or cluster into groups of short episodes.

"For a doctor, this kind of information would provide significantly more value than the mere fact that an arrhythmia was detected," says Marozas.

According to the KTU professor, such assessment makes it possible to monitor disease progression and assess a rising risk of complications at an earlier stage.

Patent marks a step towards wider application

To ensure that the data are reliable in real-life conditions, a specialised signal processing algorithm has also been integrated into the system. Movement, changes in body position or physical activity can distort signals, so the system first assesses their quality and only then sends suitable segments for more detailed analysis.

"The system distinguishes dangerous arrhythmias from noise caused by everyday activity using a multi-stage signal analysis process," says Marozas.

The patent granted to the system confirmed its technological novelty and became an important step towards further clinical trials and wider application. According to Marozas, the patent covers not only the wrist-worn device itself, but also arrhythmia analysis algorithms, arrhythmia aggregation and other new assessment parameters.

"The patent obtained is an important recognition of many years of interdisciplinary work and technological novelty. However, the greatest motivation remains saving patients' lives, improving their quality of life and advancing medicine in a way that benefits society," says Marozas.

A large interdisciplinary team contributed to both the patent application and the development of the technology, including KTU researcher Andrius Petrėnas, cardiologist Justinas Bacevičius from Vilnius University Hospital Santaros Clinics, KTU researchers Andrius Sološenko, Saulius Daukantas and Monika Butkuvienė, as well as KTU doctoral students, engineers, and medical residents from Vilnius University Hospital Santaros Clinics. For patients, the "TeltoHeart" device primarily means a simpler route to a doctor's consultation. According to Ilgevičius, if a person is recovering at home after surgery or a serious illness, they do not necessarily need to travel to a healthcare facility for tests.

The solution can now be implemented in the majority of healthcare institutions across Lithuania. Patients can use the solution together with a physician's consultation, while telemedicine services are already available in some outpatient clinics through projects funded by the European Union.

Nevertheless, broader reimbursement of such solutions for at-risk patients, such as people who have suffered a stroke, remains a future objective. According to the technology's developers, reimbursement policies may ultimately determine whether advanced remote monitoring solutions become widely accessible to the patients who need them most.

Tuesday, May 19, 2026

PolyU Unveils AI-Driven Wristband for Stroke Rehab

 Absolutely will not work for those like me who have dead brain there! What the fuck is your solution to that?

PolyU Unveils AI-Driven Wristband for Stroke Rehab

Stroke ranks as the fourth leading cause of death in Hong Kong. Between 2001 and 2021 there was a distinct trend towards younger onset ages of stroke, which has exerted a profound impact on the public health system and the families of patients. To address the challenges of disability and slow rehabilitation progress associated with hemiparesis, a common sequela of stroke, a research team at The Hong Kong Polytechnic University (PolyU) has applied intelligent closed-loop mobile technology to develop a new-generation wearable rehabilitation device, the "Remind-to-Move" (RTM) sensory wristband. Complemented by a mobile application, the device delivers instant feedback to users and automatically adjusts treatment regimens, thereby enabling more personalised home-based rehabilitation training.

Led by Prof. Kenneth FONG, Associate Head of the Department of Rehabilitation Sciences and Director of the Research Centre for Assistive Technology at PolyU, the RTM sensory wristband is specifically designed for patients with hemiparesis due to neurological conditions such as stroke or cerebral palsy. By emitting vibration signals, it reminds patients to perform exercises as instructed by their therapists. The latest version is enhanced with a "closed-loop system" that integrates artificial intelligence (AI), neuroscience and kinematic technologies. By real-time comparison of the movement patterns of the hemiparetic limb with its non-affected counterpart, the system automatically adjusts training parameters such as frequency and intensity, thereby improving the patient's mobility more effectively.

Prof. Fong said, "When facing with limb dysfunction, stroke patients tend to unconsciously rely on their non-affected limbs to complete daily activities, gradually reducing the use of their hemiparetic side. This leads to 'learned non-use' of the affected limb and hinders its recovery(So, you incompetently don't know about good side therapy recovering the 'bad' side? 

good side therapy (29 posts to December 2012) Learned non-use is much more likely to be the neuronal cascade of death occurring the first week, but good try in blaming the patient for lack of recovery, RATHER THAN THE DOCTOR WHERE IT BELONGS!)

)et. The RTM sensory wristband developed by PolyU directly addresses this critical issue. By sensing and analysing the user's movement patterns, it emits timely signals to guide patients in actively using their hemiparetic limbs for home-based rehabilitation training. In the long run, it can effectively improve patients' sensory awareness and mobility of the affected limb, facilitating their faster return to normal daily life."

Prof. Fong has led his team in the development of "RTM therapy" using wearable rehabilitation devices since 2009. The RTM wristband is the world's first rehabilitation intervention specifically designed to promote use of the hemiparetic arm in adult stroke patients and children with cerebral palsy. Earlier iterations adopted an "open-loop system" with fixed, preset therapy and were proven to effectively reduce "learned non-use" of the hemiparetic upper limb. To achieve more personalised rehabilitation outcomes, the team has upgraded the new-generation wristband to a "closed-loop system", which sends cues based on the user's actual arm movements and provides real-time feedback.

Research findings showed that both the open-loop and closed-loop RTM systems improved hand function and movement frequency. Notably, the close-loop system exhibited more prominent advantages—compared to participants in the open-loop group, those using the closed-loop system demonstrated higher movement frequency and more marked improvements in hand function. "By using AI-enabled technology to provide real-time feedback, the closed-loop system can tailor exercise training to personal needs," Prof. Fong explained. "The data collected also help us analyse the interaction between exercise programmes and external assistive devices, which is conducive to designing more targeted treatment protocols to promote neuroplasticity. Our research provides a novel approach for the treatment of hemiparetic upper limb dysfunction and holds great significance for popularising tele- and home-based rehabilitation."

Looking ahead, the team aims to integrate the closed-loop RTM mechanism into a broader range of more wearable rehabilitation devices to further enhance therapeutic efficacy. The related study has been published in the journal Wearable Technologies.

Prof. Fong's research is supported by the Research Impact Fund from the Research Grants Council. Both the open-loop and closed-loop RTM devices have been patented in the United States and the Chinese Mainland, and the previous generation of the open-loop RTM devices has been adopted for over 10 years by 16 public hospitals in Hong Kong and international institutions such as the Kessler Rehabilitation Center in the United States, while its use has been extended to Singapore and the Chinese Mainland.

The research team is currently recruiting stroke patients to participate in a clinical study of the new version of the RTM wristband. Participants will wear the wristband and engage in a four-week telerehabilitation programme under the guidance of a professional occupational therapist. The study aims to gain deeper insight into upper-limb activity patterns and evaluate the effectiveness of the intervention.Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full here.

Friday, May 2, 2025

Insights from Implementing Wearable Technologies for Stroke Rehabilitation Outside Research Laboratories

 

My conclusion is you don't understand ONE GODDAMN THING ABOUT SURVIVOR MOTIVATION/ADHERENCE, DO YOU? You create EXACT 100% recovery protocols, and your survivor will be motivated to do the millions of reps needed because they are looking forward to 100% recovery. I'd fire all of you for incompetence! GET THERE!

Insights from Implementing Wearable Technologies for Stroke Rehabilitation Outside Research Laboratories

Cover Image - Archives of Physical Medicine and Rehabilitation, Volume 106, Issue 5
  • Cite
  • Abstract

    Stroke is a leading cause of permanent disability worldwide, with 60% of survivors experiencing upper limb impairment six months post-stroke. While spontaneous recovery plateaus within six months, targeted motor rehabilitation can improve function beyond this period. However, resource constraints limit access to outpatient therapy, highlighting the need for cost-efficient and accessible treatments. We developed a novel, wearable myoelectric interface for neurorehabilitation (MINT), providing affordable, gamified, at-home rehabilitation for moderate to severe stroke patients. MINT conditioning reduces abnormal arm muscle co-activation and enhances movement. In a transdisciplinary, randomized, sham-controlled trial with 59 stroke survivors, the experimental group experienced significantly reduced abnormal muscle co-activation and significantly improved arm function after six weeks of at-home MINT use, while the sham control group did not improve. Our approach addresses key challenges in at-home stroke rehabilitation: 1) Patient motivation: collaborating with software engineers, we created engaging game environments to maximize patient motivation and adherence to at-home rehabilitation. 2) Patient progress monitoring: We developed an automated pipeline that tracks patient progress, including training repetition counts, game success rates, and muscle activities. We faced multiple challenges in implementing this at-home trial, including a high drop-out rate, mostly due to external factors unrelated to the intervention, insufficient communication, and computer illiteracy. Addressing these challenges will involve enhancing patient support and improving usability, and is critical to future home-based therapies.
    This paper is only available as a PDF.

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    Thursday, March 20, 2025

    A Wearable Device Employing Biomedical Sensors for Advanced Therapeutics: Enhancing Stroke Rehabilitation

     These sensors DO NOTHING DIRECTLY to get survivors recovered! You need EXACT REHAB PROTOCOLS to apply based on the disability found. They don't exist, so fucking useless!

    Does anyone in stroke have two functioning neurons to rub together for a spark of intelligence?

    Send me hate mail on this: oc1dean@gmail.com. I'll print your complete statement with your name and my response in my blog. Or are you afraid to engage with my stroke-addled mind? No excuses are allowed! You're medically trained; it should be simple to precisely state EXACTLY WHY you haven't created EXACT recovery protocols in the last decade with NO EXCUSES! Your definition of competence in stroke is obviously much lower than stroke survivors' definition of your competence! Swearing at me is allowed, I'll return the favor. Don't even attempt to use the excuse that brain research is hard.

    A Wearable Device Employing Biomedical Sensors for Advanced Therapeutics: Enhancing Stroke Rehabilitation

                                     by 1,*, 1, 2, 2, 2 and 3
    1
    Brunel Design School, Brunel University of London, Uxbridge UB8 3PH, UK
    2
    Department of Health Science, Brunel University of London, Uxbridge UB8 3PH, UK
    3
    Reneural Technologies Limited, Leeds LS1 2HL, UK
    *
    Author to whom correspondence should be addressed.
    Electronics 2025, 14(6), 1171; https://doi.org/10.3390/electronics14061171
    Submission received: 11 February 2025 / Revised: 13 March 2025 / Accepted: 13 March 2025 / Published: 17 March 2025

    Abstract

    Stroke is a leading cause of disability worldwide. The long-term effects of a stroke depend on the location and size of the affected brain area, resulting in diverse disabilities and experiences for survivors. More than 70% of people experiencing stroke suffer upper-limb dysfunction, which can significantly limit independence in daily life. The growing strain on national healthcare resources, coupled with the rising demand for personalised, home-based rehabilitation, along with increased familiarity with digital technologies, has set the stage for developing an advanced therapeutics system consisting of a wearable solution aimed at complementing current stroke rehabilitation to enhance recovery outcomes. Through a user-centred approach, supported by primary and secondary research, this study has developed an advanced prototype integrating electromyography smart sensors, functional electrical stimulation, and virtual reality technologies in a closed-loop system that is capable of supporting personalised recovery journeys. The outcome is a more engaging and accessible rehabilitation experience, designed and evaluated through the participation of stroke survivors. This paper presents the design of the therapeutic platform, feedback from stroke survivors, and considerations regarding the integration of the proposed technology across the stroke pathway, from early days in a hospital to later stage rehabilitation in the community.

    1. Introduction

    Stroke is one of the leading causes of disability, and the second most common cause of death worldwide [1,2]. Depending on the size and location of the stroke, survivors can present with a variety of symptoms. The middle cerebral artery (MCA) is the most commonly affected vessel, which is the major vascular supply to the area of the brain responsible for the upper limbs [3]. According to the Stroke Association [4], 70% of stroke survivors present with lasting symptoms of functional difficulty within the upper limbs. This loss in motor and sensory control of the upper limbs can lead to potential alterations of muscle length and strength and the inability to engage in fine or dextrous hand movement, which is essential for bimanual tasks that affect function and therefore, quality of life [5].
    Taub et al. [6] coined the term learned non-use to describe the phenomenon whereby people recovering from neurological insult, such as stroke, learn to compensate for the loss in function of the affected upper limb, and as such, no longer attempt to use it for everyday activities. After a sufficient period without using this limb, the muscles atrophy, and the efficiency of the motor areas of the brain corresponding to this limb will fade [7]. Conversely, the ability of the brain to re-adapt and re-adjust to form new connections in response to local injury and received neural input is known as neuroplasticity [8]. These changes are regulated by the “use it or lose it” principle [9]. In other words, high-repetition movements produce a high level of motor input and output to and from the brain. This elicits the formation of neural pathways in the specific brain areas, i.e., those responsible for upper-limb movements. However, these newly formed pathways require regular motor input; otherwise, they may fade [9]. Therefore, maintaining a rehabilitation plan that reflects this biological need for high repetition exercise is crucial for recovery in stroke survivors until the affected limb has been successfully re-incorporated into daily function/tasks [8,10].
    In a systematic review by Serrada, McDonnell, and Hillier [11], it was found that only 21% of inpatient therapy time for people post-stroke was devoted to the upper limbs. More specifically, this equated to 24% of occupational therapy sessions and only 15% of physiotherapy sessions. Likewise, less than 20% of patients in the United Kingdom receive the recommended level of upper-limb rehabilitation [12,13], with the upper limb largely deprioritised in place of balance and walking practise [14]. Other factors limiting upper-limb rehabilitation include organisational drivers such as pressure for quicker discharge times, a shortage of quality research, and the limited resources of the healthcare system [15]. In stroke units, in the average upper-limb-focused rehabilitation session, the number of repetitions for each movement ranges from 23 to 86 [16]. However, animal studies have shown that neuroplastic changes are not seen within the motor cortex until approximately 400 or more repetitions are completed [17]. In the absence of a sufficient rehabilitation programme for the upper limbs, stroke survivors will not be able to meet the number of repetitions required to induce and maintain the neuroplastic changes that bring about recovery [8,10]. This highlights the need to develop and implement effective therapy adjuncts to support functional recovery of the upper limb post-stroke, thereby reducing dependency and improving quality of life post-stroke.
    Functional electrical stimulation (FES) is one of the therapy adjuncts recommended to increase functional recovery of the upper limb after stroke [14,18]. Electromyogram-triggered functional electrical stimulation (EMG-FES) has been developed to enable motor activity to synchronise with motor intention [19]. The EMG responds to the nerve signal at the neuromuscular junction, even in patients with severe paresis [20]. EMG-FES triggers a motor response, but also creates a sensory stimulus to the corresponding region of the brain. This motor and sensory stimulation can impact neuroplasticity, thus impacting the formation and maintenance of the neural pathways necessary for targeted function [21].
    Another therapy adjunct gaining traction within the field of stroke rehabilitation is virtual reality (VR) devices. With VR technology, users immerse themselves in fully interactive artificial worlds through goggles [22]. VR can deliver engaging and task-specific exercises in a supportive environment by providing multimodal (visual, auditory, and proprioceptive) feedback [23]. This gives clinicians the ability to prescribe a rehabilitation programme that is entertaining for the user and can replicate common therapy exercises, as well as mirroring everyday functional tasks. This makes it possible to personalise rehabilitation sessions by practising a task that is relevant to each person’s goals, while being able to control the sensitivity and difficulty through controlled virtual parameters. A combination of EMG-FES and VR opens the opportunity for stroke survivors with a range of impairments to enjoy the therapeutic effect of VR by reducing the effort required when carrying out activities [23]. Thus, the combination of FES and VR provides patients with an engaging strategy of attaining the necessary intensity and repetition that their rehabilitation requires.
    The paper is structured into six main sections. Section 2, Related Work, provides a critical evaluation of previous research in the field. Section 3, Methods, outlines the research methodology, including the aims and objectives of the developed system, an overview of the interdisciplinary expertise of the team, and participant recruitment details. Section 4, Results, presents key insights derived from interviews with stroke survivors, including design personas, rehabilitation experiences captured through user journeys, and product requirement specifications based on both primary and secondary data. Section 5, System Development and Evaluation, details the iterative design and evaluation of the advanced therapeutics system, covering its key components such as sensors, functional electrical stimulation (FES), virtual reality (VR), wearable technology, and the companion app. Finally, Section 6 and Section 7 provide a discussion and the conclusions of the study, including limitations and further work.

    More at link.

    Thursday, December 5, 2024

    Wearable Devices for Parkinson’s Disease: The Future Is Here

     If your competent? doctor can't see that these could provide an objective damage diagnosis of your gait problems leading to EXACT PROTOCOLS to fix those gait problems. Then you DON'T have a functioning stroke doctor! RUN AWAY!

    Wearable Devices for Parkinson’s Disease: The Future Is Here

    Less than a decade ago, the use of wearable devices in Parkinson’s disease (PD) was considered futuristic. Today, there’s an array of innovative tools from commercial activity trackers to tremor suppression gloves and laser-guided walking sticks to help manage the highly variable and fluctuating symptoms of PD.

    “Over the past 5 years, the landscape of wearable technology for Parkinson’s monitoring has transformed remarkably,” Roongroj Bhidayasiri, MD, co-chair of the International Parkinson and Movement Disorder Society’s (MDS’s) Technology Study Group, told Medscape Medical News.

    Advances in sensor technology, data analytics, and machine learning have significantly enhanced the precision and usability of wearable devices, he noted. They now offer continuous, real-time monitoring of both motor and nonmotor symptoms, which supports personalized treatment plans and more accurate tracking of disease progression.

    Additionally, the integration of artificial intelligence analytics facilitates more comprehensive data analysis, whereas integration with mobile applications enhances patient engagement and data sharing with providers, said Bhidayasiri, director, Chulalongkorn Center of Excellence for Parkinson’s Disease & Related Disorders, and professor of neurology, Chulalongkorn University, Bangkok, Thailand.

    “These technological advancements have cemented wearables as invaluable tools in the efficient and responsive management of PD within neurology care models,” he added.

    Andrea Pilotto, MD, fellow MDS Technology Study Group co-chair and associate professor of neurology, University of Brescia, Brescia, Italy, pointed out that recent advances have improved the ability to capture subtle motor deficits that appear years before a clinical diagnosis of PD and add granularity to office assessments and patient home diaries.

    “For sure, patient-reported outcomes are important, but we know that a large percentage of patients, especially with motor fluctuations, are not clearly aware of their symptoms or misjudge their symptoms,” he said in an interview.

    The focus of wearable sensors is also shifting from its hallmark motor symptoms to monitoring nonmotor features of PD, which can vary throughout the day and influence motor measurements and therapeutic choices.

    “We are now realizing the potential of wearables to begin to address anxiety, sleep, depression, and other nonmotor symptoms,” Michael S. Okun, MD, medical advisor, Parkinson’s Foundation, and director, Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, Florida, told Medscape Medical News.

    “This could be a game changer as nonmotor symptoms in many studies are more important than the motor symptoms in impacting quality of life,” he added.

    Tracking Symptoms

    Smartwatches with embedded accelerometers and gyroscopes took off during the COVID-19 pandemic as consumers sought real-time feedback on their mobility, sleep, and heart rate. The pivotal WATCH-PD study and US Food and Drug Administration (FDA) clearance of the Apple Watch–based StrivePD application in 2022 helped drive the use of wearables to monitor PD symptoms.

    StrivePD (Rune Labs, Inc.; San Francisco) passively collects daily data on tremor and dyskinesia using Apple’s Movement Disorder Application Programming Interface and lets patients log items such as symptoms, medications, side effects, mood, and sleep. Patients can view summary reports in the app or via email, and a clinician dashboard provides summaries of symptoms, medication use, and self-reported data.

    “The Apple Watch is certainly quite accessible, that’s one advantage, and StrivePD is probably the one [app] that my patients are most familiar with and are accessing, using, and getting reports from,” Joohi Jimenez-Shahed, MD, medical director, Movement Disorders Neuromodulation and Brain Circuit Therapeutics, and associate professor of neurology, Icahn School of Medicine at Mount Sinai, New York City, told Medscape Medical News.

    The American Parkinson Disease Association has its own free symptom tracker, available in English and Spanish, that is designed for the iPhone and records motor and nonmotor symptoms, has an interactive medication tracker, and creates reports to share with the patient’s care team.

    The French NS-Park research network’s wearable sensors workgroup, in partnership with the Parkinson’s Foundation, recently published a “practical anthology” summarizing the characteristics of the most used wearable sensors for PD management in Europe — most of which are also available in the United States.

    It provides a deep dive into the PDMonitor, Personal KinetiGraph (PKG), STAT-ON, Kinesia 360/One, FeetMe, and Mobility Lab, which is not available in Europe. Notably, the Kinesia 360/KinesiaU, PDMonitor, PKG, and STAT-ON devices are “conditionally recommended as options” in the 2023 National Institute for Health and Care Excellence diagnostics guidance on wearables for remote PD monitoring.

    Tremor Suppression

    Tremors are present in about 80% of patients with PD and can affect activities of daily living and mental health. Launched in June 2023, the Cala kIQ system (Cala Health, Inc.; San Mateo, California) is the first FDA-cleared device for temporary postural and kinetic hand tremor relief in PD as well as essential tremor.

    The wrist-worn, physician-prescribed device delivers transcutaneous afferent patterned stimulation, which improved symptoms in 92% of patients with essential tremor when used twice daily over 3 months in a prospective study cited by the company.

    The initial out-of-pocket cost for the Cala system is $7150, which is covered for Medicare beneficiaries and veterans with essential tremor but not by commercial insurance plans.

    “Getting that out to patients has been difficult, not for a lack of trying certainly on my part,” said Jimenez-Shahed, who is also co-chair of the Parkinson Study Group. “It’s been a challenge to get it covered, and out-of-pocket costs are, quite frankly, for a lot of people just not doable or they’re not willing to spend that kind of money on something they’re not sure how much it’s going to work.”

    Several tremor suppression gloves, or PD gloves, are widely available and promise to stabilize hand movements through peripheral stimulation. Additionally, devices like Microsoft’s Emma Watch, which is in the research stage only, use vibration therapy to counteract tremor effects.

    Improving Gait

    To improve gait, wearable systems equipped with inertial measurement units help analyze and provide feedback on walking patterns, facilitating better mobility through targeted interventions, said Bhidayasiri, who along with other experts interviewed for this article declined to comment on specific devices.

    PD shoes with embedded cueing devices can provide visual cueing for freezing of gait (FoG), he said. Alternatively, these shoes can be equipped with devices that provide vibratory and proprioceptive stimulation, shown to improve FoG.

    “Parkinson’s shoes with embedded cueing devices represent emerging technologies and may not yet be widely available in all clinical settings,” Bhidayasiri noted.

    The French anthology details the FeetMe Monitor insoles (FeetMe; Paris, France), which use embedded pressure sensors and algorithms to compute spatiotemporal gait parameters and collect them through a dedicated mobile application. Clinical data are limited, but results from the sole validation study in PD show very high correlations and good agreement between the FeetMe insoles and an electronic pressure-sensitive walkway.

    The anthology also weighs in on Mobility Lab (Clario, Philadelphia), a portable system developed by APDM (Portland, Oregon) that measures gait, postural balance, and arm swing using one to six wireless wearable sensors. It is described as one of the best validated tools in terms of study number for gait and postural in-hospital analysis but is mainly used for in-hospital assessment.

    “Many things have been tried, but I have not yet seen one come to market dominance or be so clearly effective that we are recommending it to patients,” Miriam Rafferty, PT, DPT, PhD, director of Implementation Science and research scientist, Shirley Ryan AbilityLab, and assistant professor, Northwestern University, both in Chicago, told Medscape Medical News.

    “At Shirley Ryan AbilityLab, one of the efforts that our patients are driving is to have a kind of technology trial clinic so that we can have versions of a lot of the devices here so patients can try them,” she added. “It’s very daunting to think I could buy this pair of shoes that going to cost $1500 and it may or may not work for me.”

    Voice changes affect about 70%-90% of patients with PD, making it difficult to be heard or understood particularly as the disease progresses.

    SpeechVive is a behind-the-ear device that plays a “babble” noise in one ear during speech, leveraging the Lombard effect or the brain’s automatic response to speak louder as ambient sounds increase.

    It boosts conversation volume by approximately 50% and provided similar benefits as LSVT LOUD speech therapy in a prospective study of 18 patients with PD. It is covered by Medicare, according to the SpeechVive company.

    Jimenez-Shahed said she sends a lot of patients to speech therapy and doesn’t prescribe the SpeechVive very much. “When it first came out, patients were trying it and some of the feedback I got is that there’s this background noise you hear, so it was a little difficult for some patients. It does take a little getting used to.”

    The Road Ahead

    While wearables have many strengths, experts note several limitations exist, including patient adherence, which can affect data reliability; privacy concerns; devices may not capture the full spectrum of PD symptoms, especially nonmotor symptoms; and a lack of national or international guidelines on how best to use the devices and their scope of use.

    The MDS Technology Study Group is in the process of surveying the society’s more than 11,000 members to see how wearables are being used, which patients with PD should be tracked, insurance or healthcare system coverage for devices, and pragmatic limitations from the patient/caregiver and clinician/institution viewpoint, Pilotto said.

    “We put some clinical scenarios in the survey to see how clinicians are reacting and if they are prepared or if they would use technology and which kind of technology in different scenarios,” he said.

    Pilotto noted that two other MDS projects are underway: A consensus document characterizing the use of wearable technology in clinical trials and a review of digital devices in the clinic based on published longitudinal, prospective trial evidence.

    Other challenges for wearables are the lack of standardized outcome measures validated for longitudinal assessment, lack of direct comparisons between devices, cost effectiveness, and, importantly, the effect on treatment modifications and PD management.

    “One of the biggest challenges for wearables has been whether the juice is worth the squeeze. Does the information provided move the needle enough to motivate folks to use them,” said Okun, with the Parkinson’s Foundation.

    Rafferty told Medscape Medical News that data management is one of the biggest challenges with the increasing number of devices used by and marketed to patients. The Shirley Ryan AbilityLab contracted with a software platform that can take data from any commercially available device, so patients can share it with their physical therapist and help set goals for therapy. “We call it a bring-your-own-device strategy.”

    Commenting further, Rafferty said, “I have heard from patients that when they share their technology with their neurologists, the neurologists are like, ‘That’s nice,’ but that the neurologists aren’t always driving that conversation.”

    Clinicians are very busy in their day-to-day clinical practice, so unless the device is very intuitive, easy to use, and their organization already has a contract with it, then the clinician is going to be limited in their conversations that they can initiate with a patient, she explained.

    Part of her team’s work is to help researchers at Shirley Ryan AbilityLab develop dashboards that clinicians want, with the metrics they need, by gathering their feedback early in the development process.

    “The last thing you want is for a really busy clinician to open a dashboard and then not be able to find the information they want to know quickly and easily,” Rafferty said.

    Bhidayasiri reported receiving grants from Thailand Science, Research and Innovation; Chulalongkorn University; and the Royal Society of Thailand. He reported receiving consultancy fees, honoraria, and lecture fees from Britannia, Ipsen, Teva-Lundbeck, and Mitsubishi Tanabe; patents for a laser-guided walking stick, portable tremor device, technology for nocturnal monitoring, electronic symptom diary, a PD insole and shoe, and anti-choking mugs; and copyrights for various PD-related works.

    Pilotto reported receiving grants from the Airalzh Foundation, Italian Society of Parkinson and Movement Disorders Foundation, Italian Ministry of University and Research, and Italian Ministry of Health.

    Okun reported having no relevant conflicts of interest.

    Rafferty reported receiving funding from the National Institutes of Health; the Agency for Healthcare Research and Quality; and the National Institute on Disability, Independent Living, and Rehabilitation Research.

    Jimenez-Shahed reported receiving consulting fees and an educational grant from Medtronic; serving on the data safety monitoring board for BlueRock Therapeutics and Emalex; serving on the clinical and scientific advisory board for PhotoPharmics; and receiving consulting fees from Bracket/Syneos, Teva, AbbVie, Alpha Omega, REGENXBIO, Praxis, Kyowa Kirin, TreeFrog, and Amneal. She is also co-chair of the Parkinson Study Group.

    Saturday, September 23, 2023

    Wearable Device May Detect Parkinson Disease 7 Years Before Symptom Onset

    With your risk of Parkinsons you'd better hope you have a competent doctor that knows about this and has EXACT PROTOCOLS TO PREVENT PARKINSONS. 

    Your risk of Parkinson's here:

    Parkinson’s Disease May Have Link to Stroke March 2017 (Your doctor has had 6 years to put together Parkinson's prevention protocols.)

     

    Wearable Device May Detect Parkinson Disease 7 Years Before Symptom Onset

    Reduced daytime acceleration over 1 week was associated with a clinical diagnosis of Parkinson disease up to 7 years later.

    A wearable device may be able to accurately identify individuals at an elevated risk of developing Parkinson disease (PD), according to study findings published in the journal Nature Medicine.

    To date, treatment for PD consists of symptom management, with no current disease-modifying treatments available. Furthermore, at the onset of clinical manifestations, most patients will have undergone significant neuronal degeneration of dopaminergic tracts. There remains a need for reliable biomarkers that may detect the early pathologic changes that are associated with PD.

    For the study, researchers aimed to investigate the effectiveness of digital accelerometer data as a prodromal marker for PD.

    The researchers utilized a prospective, population-based cohort, termed the UK Biobank (UKBB). Accelerometry data was collected for 103,712 individuals aged 40-69, from 2013-2016. Comparison data was compiled, exploring whether accelerometers data can accurately serve as a prodromal marker for PD, by comparison of those diagnosed with PD to unaffected control individuals. Data was also compared with other current modalities, including genetic information, blood biochemistry, lifestyle, and prodromal symptoms.

    Our results suggest that accelerometry collected with wearable devices in the general population could be used to identify those at elevated risk for PD on an unprecedented scale …

    During the 2-year time of collection, 273 participants were diagnosed with PD; an additional 196 individuals were diagnosed ≥2 years after the data collection, forming a prodromal group for comparison. When comparing data between the prodromal and diagnosed PD cases to an age- and sex-matched unaffected control individuals (1:1), there was a significantly reduced daytime acceleration profile up to 7 years before diagnosis.

    Linear regression models, when adjusted for age, sex and body mass index (BMI) for residual average acceleration, found a significant reduction of acceleration in diagnostic PD and prodromal PD when compared with unaffected control individuals. Additionally, no other investigated neurodegenerative disorders (Alzheimer disease, dystonia, all-cause dementia) were found to have a reduction in acceleration before a diagnosis, as was observed in PD. Depression, however, was the only other disorder that the researchers found to have a reduction in acceleration after diagnosis.

    Prodromal and diagnosed PD could also be identified from the general population when using average acceleration with area under the precision recall curve (AUPRC) with values of 0.05±0.04 (prevalence =0.0034) and 0.06±0.05 (prevalence =0.0046), respectively. Comparing previous modalities used to identify prodromal PD (genetics, lifestyle, blood biochemistry), accelerometry data was also shown to have a better predictive value in identifying a future diagnosis of PD.

    Of note, time dependent area under the receiver operator curve (AUROC) data identified accelerometry to be able to predict the probability of not receiving a diagnosis of PD better than any other single modality previously used; the findings highlight the ability to predict when a diagnosis of PD can be expected.

    Study limitations include accelerometry data collection being restricted to a 7-day period, limiting analysis timeframe. Additional modalities with high predictive power, such as dopamine transporter imaging and motor examinations were also not included in the study.

    The researchers concluded, “Our results suggest that accelerometry collected with wearable devices in the general population could be used to identify those at elevated risk for PD on an unprecedented scale and, importantly, individuals who will likely convert within the next few years can be included in studies for neuroprotective treatments.”

    References:

    Schalkamp AK, Peall KJ, Harrison NA, Sandor C. Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis. Nat Med. Published online July 3, 2023. doi:10.1038/s41591-023-02440-2