Wearable stroke detector Cerebrotech Visor (Cerebrotech Medical Systems)

At the bottom of the post is this; Cerebrotech products are not available for sale.

But what is your hospital doing about all these other fast diagnosis systems?

We need to get to these much faster and objective diagnosis tools, but that would be a neurologist job killer which means it will never occur even if better for patients.  

Hats off to Helmet of Hope - stroke diagnosis in 30 seconds

 

Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds

 

New Device Quickly Assesses Brain Bleeding in Head Injuries - 5-10 minutes

 

Target Stroke: Best Practice Strategies Cut Door to Thrombolysis Time to <30 Minutes in a Large Urban Academic Comprehensive Stroke Center

 

 

Wearable stroke detector Cerebrotech Visor (Cerebrotech Medical Systems)

Cerebrotech Medical Systems is an innovative medical device company focused on the development of portable neurotechnology solutions. The Cerebrotech Visor, is a non-invasive wireless neurological device intended for use as an aid in the assessment of fluid volume differences (asymmetry) between the cerebral hemispheres in patients undergoing neurologic assessment.

“At Cerebrotech, our mission is to improve healthcare outcomes across the globe by minimizing treatment delays for patients undergoing neurologic assessment. This mission drives our strategy and our work every day.”

Cerebrotech products are not available for sale.

Strokefinder MD100 helmet

But they never say how fast it is. Maybe you want to compare with these others.

But are these other fast stroke diagnosis tools good enough to roll out to the world? Do you even know about them?

Hats off to Helmet of Hope - stroke diagnosis in 30 seconds

 

Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds

 

New Device Quickly Assesses Brain Bleeding in Head Injuries - 5-10 minutes

 Maybe these 17 diagnosis possibilities to find out which one is the best? Or maybe the Qualcomm Xprize for the tricorder?

Strokefinder MD100 helmet

Advertising Features

REVOLUTIONARY: A stroke detection device called the Strokefinder MD100 helmet is being trialled for the first time in critical response settings.

With an acute stroke occurring every 10 minutes in Australia, a revolutionary detection device called the Strokefinder MD100 helmet is being trialled for the first time in critical response settings.

The helmet is compact, portable and affordable, enabling rapid deployment in Emergency Departments and ambulances. The patient’s head is sequentially scanned by antenna pads emitting low-energy microwaves similar to that of mobile phones – these pulses scatter in brain matter, detecting the type and location of the stroke.

Science fiction is becoming science fact at HMRI as sophisticated techologies are developed to allow more efficient and less intrusive ways to diagnose, treat and defeat disease.

Researchers and physicians from the Hunter, along with Sweden’s Medfield Diagnostics, are exploring the potential for stroke therapies to be administered as soon as possible – possibly even pre-hospital by paramedics connected via  telehealth.

The imaging system was adapted from defence applications, a multidisciplinary medical team is now refining the detection capabilities and algorithm, comparing the accuracy against their world-leading CT and MRI techniques.

FDA Clears Software to Notify Specialists When CT Scan Suggests Stroke

Now if we would know just how fast interventions need to occur to get 100% recovery then we could have targets to shoot for rather than this lazy, it works faster than manual tasks. But that would require brains and effort, neither of which exist in stroke medical leadership.
https://www.medpagetoday.com/neurology/strokes/71174?xid=nl_mpt_DHE_2018-02-15&eun=g424561d0r&pos=0&utm_source=Sailthru&

• February 14, 2018

Viz.AI Contact software that provides artificial intelligence-assisted stroke detection for CT scans and automatically notifies neurovascular specialists by text message got U.S. marketing approval from the FDA, the agency Giving the alert on suspected large vessel infarcts early -- at the time a first-line provider is conducting a standard review of the images -- theoretically gets the specialist involved faster than waiting for a radiologist to complete his or her review of the scans.

The platform is designed to analyze all stroke-protocol CT angiography images of the brain and works with any standard commercial CT scanner. "The system is designed for hospitals to push DICOM [Digital Imaging and Communications in Medicine] imaging data to the cloud where the Viz.AI deep learning artificial intelligence resides," a representative of the company told MedPage Today.

Nonetheless, the application is limited to the analysis of CT scans and should not be used as a replacement of a full patient evaluation or solely relied upon to make or confirm a diagnosis, according to the FDA statement.

Approval for Viz.AI Contact was supported by the ALADIN study wherein the application matched two neuro-radiologists in performance. ALADIN was presented at the International Stroke Conference this year, with an abstract citing sensitivity of 0.97 and specificity of 0.52, with a positive predictive value of 0.74, negative predictive value of 0.91, and overall accuracy of 0.78 in internal carotid artery terminus, middle cerebral artery-M1 large vessel occlusions versus more distal occlusions or no large vessel occlusion.

Wearable sensors can tell when you are getting sick, study shows

How can we modify these to detect when a stroke is occurring?

Wearable sensors can tell when you are getting sick, study shows

Wearable sensors that monitor heart rate, activity, skin temperature and other variables can reveal a lot about what is going on inside a person, including the onset of infection, inflammation and even insulin resistance, according to a study by researchers at the Stanford University School of Medicine.

An important component of the ongoing study is to establish a range of normal, or baseline, values for each person in the study and when they are ill. "We want to study people at an individual level," said Michael Snyder, PhD, professor and chair of genetics.
Snyder is the senior author of the study, which will be published online Jan. 12 in PLOS Biology. Postdoctoral scholars Xiao Li, PhD, and Jessilyn Dunn, PhD, and software engineer Denis Salins share lead authorship.
Altogether, the team collected nearly 2 billion measurements from 60 people, including continuous data from each participant's wearable biosensor devices and periodic data from laboratory tests of their blood chemistry, gene expression and other measures. Participants wore between one and eight commercially available activity monitors and other monitors that collected more than 250,000 measurements a day. The team collected data on weight; heart rate; oxygen in the blood; skin temperature; activity, including sleep, steps, walking, biking and running; calories expended; acceleration; and even exposure to gamma rays and X-rays.
"I was very impressed with all the data that was collected," said Eric Topol, MD, professor of genomics at the Scripps Research Institute, who was not involved in the study. "There's a lot here—a lot of sensors and a lot of different data on each person."
The study demonstrated that, given a baseline range of values for each person, it is possible to monitor deviations from normal and associate those deviations with environmental conditions, illness or other factors that affect health. Distinctive patterns of deviation from normal seem to correlate with particular health problems. Algorithms designed to pick up on these patterns of change could potentially contribute to clinical diagnostics and research.
The work is an example of Stanford Medicine's focus on precision health, whose goal is to anticipate and prevent disease in the healthy and to precisely diagnose and treat disease in the ill.
An unexpected diagnosis
On a long flight to Norway for a family vacation last year, Snyder noticed changes in his heart rate and blood oxygen levels. As one of the 60 participants in the digital health study, he was wearing seven biosensors. From previous trips, Snyder knew that his oxygen levels normally dropped during airplane flights and that his heart rate increased at the beginning of a flight—as occurred in other participants. But the values typically returned to normal over the course of a long flight and after landing. This time, his numbers didn't return to baseline. Something was up, and Snyder wasn't completely surprised when he went on to develop a fever and other signs of illness.

Two weeks earlier, he'd been helping his brother build a fence in rural Massachusetts, so his biggest concern was that he might have been bitten by a tick and infected with Lyme disease. In Norway, Snyder persuaded a doctor to give him a prescription for doxycycline, an antibiotic known to combat Lyme disease. Subsequent tests confirmed that Snyder had indeed been infected with the Lyme microorganism.

In this photo provided by Steve Fisch, Michael Snyder, professor and chair of genetics at the Stanford University School of Medicine sports wearable gadgets. Wearable gadgets gave a Snyder an early warning that he was getting sick before he …more

Snyder was impressed that the wearable biosensors picked up the infection before he even knew he was sick. "Wearables helped make the initial diagnosis," he said. Subsequent data analysis confirmed his suspicion that the deviations from normal heart rate and oxygen levels on the flight to Norway had indeed been quite abnormal.
"The fact that you can pick up infections by monitoring before they happen is very provocative," said Topol.
More discoveries
For Snyder, the Lyme diagnosis is just the tip of the iceberg—part of very early work to begin querying massive data sets of health information. The results of the current study raise the possibility of identifying inflammatory disease in individuals who may not even know they are getting sick. For example, in several participants, higher-than-normal readings for heart rate and skin temperature correlated with increased levels of C reactive protein in blood tests. C reactive protein is an immune system marker for inflammation and often indicative of infection, autoimmune diseases, developing cardiovascular disease or even cancer. Snyder's own data revealed four separate bouts of illness and inflammation, including the Lyme disease infection and another that he was unaware of until he saw his sensor data and an increased level of C reactive protein.
The wearable devices could also help distinguish participants with insulin resistance, a precursor for Type 2 diabetes. Of 20 participants who received glucose tests, 12 were insulin- resistant. The team designed and tested an algorithm combining participants' daily steps, daytime heart rate and the difference between daytime and nighttime heart rate. The algorithm was able to process the data from just these few simple measures to predict which individuals in the study were likely to be insulin-resistant.
The study also revealed that declines in blood-oxygen levels during airplane flights were correlated with fatigue. Fortunately, the study showed that people tend to adapt on long flights; oxygen levels in their blood go back up, and they generally feel less fatigued as the hours go by.
"The desaturation of oxygen in flight was not something I anticipated," said Topol. "Whenever you walk up and down the aisle of a plane, everyone is sleeping, and I guess there may be another reason for that besides that they partied too hard the night before. That was really interesting, and I thought it was great that the authors did that."
Topol noted that one of the biosensors used in the study doesn't work very well and that another has been recalled. "A few are not going to hold up," he said. "Either they are not going to be available or they are going to be proven to not be very accurate. But what is good about what the authors did here is that they weren't just relying on one device. They did everything they could with the kind of sensors that are available today to get data that was meaningful."
The future of wearable devices
During a visit to the doctor, patients normally have their blood pressure and body temperature measured, but such data is typically collected only every year or two and often ignored unless the results are outside of normal range for entire populations. But biomedical researchers envisage a future in which human health is monitored continuously.
"We have more sensors on our cars than we have on human beings," said Snyder. In the future, he said, he expects the situation will be reversed and people will have more sensors than cars do. Already, consumers have purchased millions of wearable devices, including more than 50 million smart watches and 20 million other fitness monitors. Most monitors are used to track activity, but they could easily be adjusted to more directly track health measures, Snyder said.
With a precision health approach, every person could know his or her normal baseline for dozens of measures. Automatic data analysis could spot patterns of outlier data points and flag the onset of ill health, providing an opportunity for intervention, prevention or cure.

Explore further: Study: Earth's roughly warmest in about 100,000 years

More information: Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, et al. (2017) Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. PLoS Biol 15(1): e2001402. DOI: 10.1371/journal.pbio.2001402

Journal reference: PLoS Biology
Provided by: Stanford University Medical Center

Med device startup nets $3 million for stroke detection

But have they  compared efficacy to these others? Test out these 17 diagnosis possibilities to find out which one is the best?.
://www.sandiegouniontribune.com/business/sd-fi-stroke-funding-20161004-story.html

By Mike Freeman

San Diego medical device start-up Burl Concepts, which has developed a portable ultrasound device to detect strokes in the field, said Tuesday that it has raised $3 million in a second round of funding.
The new capital brings the total amount raised by the company to $7.5 million. The money will be used to support product development and sales as the 10-employee company’s device, called Sonas, readies for an initial set of clinical trials later this year.
Founded in 2013, Burl Concepts is based on the research of Thilo Hoelscher, a neurologist who previously served as a professor at  UC San Diego, where he founded the UCSD Brain Ultrasound Research Laboratory.
Hoelscher patented technology behind a portable battery powered ultrasound device for detecting and potentially treating strokes. Some of his research over the years was funded by the National Institutes of Health, and he performed pilot trials of the technology in his native Germany.

Strokes are “the most time sensitive disease we have,” said Hoelscher.  “Once a vessel is blocked and the brain cells are not being supplied with oxygen, two million brain cells die every minute.”
About 800,000 people suffer strokes each year in the U.S. Even severe strokes can be treated, but not every hospital has the capability, said Hoelscher.
Having Sonas in an ambulance to diagnose a stroke in the field allows paramedics to send patients to the best treatment center.
“It’s not getting to the hospital as fast as possible but getting to the right hospital as fast as possible,” said Hoelscher.
Hoelscher and Jim Brailean, a Ph.D. electrical engineer who founded PacketVideo in San Diego, began talking shortly after Brailean’s mother had a minor stroke, was misdiagnosed and sent home from the hospital, only to suffer a more severe stroke, he said.

How to detect stroke on time and avoid distability?

They don't bother to tell you how fucking unlikely it is that even if transported quickly to the hospital you will fully recover. You might survive as I did, getting tPA in 90 minutes but no cigar on the full recovery.
https://ask.naij.com/health/how-to-detect-stroke-on-time-and-avoid-distability-i26852.html

Stroke is a very dangerous disease. If only it is detected in time a patient has a chance to live and avoid disability. May be some of our tips will help you to save somebody's life.

What do you know about stroke? A stroke is a very insidious disease because it can strike suddenly and often at the most inopportune moment.
Whether a person after the attack will live a normal life and will remain alive depends on the fast first aid and fast provided professional medical help. Spend some time and read the article. Perhaps this knowledge will help you to save somebody's life and detect stroke early.

READ ALSO: What diet to choose to lower blood pressure?

A chance to live

Only a few decades ago, the attacks of stroke were mainly observed in the elderly age. And in our time increasingly stroke is reaping its fruits in the form of health, and sometimes takes away lives of young and healthy people.
Some of the stroke victims die, others become disabled. Those who died from stroke could have been saved if the people who were near at the moment of the attack, were able to diagnose the problem, knew the rules of the first aid for stroke and had enough time to provide this first aid.
If you have time within 3 hours after the start of the stroke to deliver the patient to the hospital, there is a strong possibility to save him and reduce the degree of complications and disability. The time span of three hours from the beginning of the stroke is called in medicine "therapeutic window." This is a period, during which it is possible to provide effective assistance in a hospital.

Nowadays there are already some drugs which can dissolve blood clots in the vessels. Those which course[sic] the stroke itself.  In more severe cases, it is important to have surgery to remove a hematoma, due to which the adjacent parts of the brain will remain healthy. From a stroke, a patient does not die immediately. So there is time for help.
It takes only a few moments to read the following ...
Neurosurgeons are sure to save a patient within 3 hours after the stroke.(Really!, in what universe is that?)  The consequences of an attack can be eliminated.(Fucking unlikely)  It is possible if you know the first signs of a stroke.
To detect stroke symptoms, you need to know five tips and symptoms for recognition.

How to detect stroke fast

Take these five points into consideration.
First, the possible signs of a stroke are a sudden weakness, dizziness, loss of balance, disturbed coordination of movements.
Second, before you have more accurately diagnose, ask the person to smile. If he can not this is a symptom.
Third, ask to tell a simple sentence (e.g., The weather is beautiful today).
Fourth, ask to raise both hands up. In the case of a stroke, he can not or only partly can raise.
Fifth, ask to flick out the tongue out of the mouth. If a tongue is twisted, it is a symptom of a stroke.
If problems are evident even with one of these tasks, call the ambulance, describe symptoms by phone and use the advice given below.
How to cope with a heart attack when no one is around.

How to avoid disability yourself

Sometimes, a heart attack or a stroke happens when there is no one who could help. So if you suddenly feel that your heart is beating "wrong" way, and you are close to fainting, you only have about 10 seconds before you lose consciousness.
Meanwhile, all victims of heart attacks could help themselves. For this goal, you need to start coughing many times and with great force. Each time before you make a cough, take a deep breath. A coming cough must be deep and prolonged as if you get sputum deeply from a chest.

Samsung prototypes brainwave-reading wearable stroke detector

I wonder if this can be calibrated for those of us that already have brain damage so it could measure new brain damage?
Would this new one be any better than these 17 ways for objective diagnosis.
http://www.cnet.com/news/samsung-prototypes-brainwave-reading-wearable-stroke-detector/
A group of Samsung engineers have come up with a plan to harness the power of your phone or tablet to warn you of an impending stroke. By monitoring your brainwaves the system would detect the early signs of a stroke, and could one day be built into your glasses to keep you safe all the time.
A stroke happens when the blood supply to part of your brain is cut off by a clot or damaged by a bleed, which causes brain cells in the affected area to die. According to the World Health Organisation, 15 million people across the world suffer from a stroke each year. Around 66 per cent of those people die or are left with permanent physical disabilities.
To combat the problem, five Samsung engineers have come up with a prototype system called Early Detection Sensor & Algorithm Package (EDSAP). There are two parts to the system: a headset, covered in sensors that record electrical impulses in the brain; and a mobile app, in which an algorithm analyses the brainwaves and, in less than a minute, determines the likelihood of a stroke.

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The project started two years ago when a group of Samsung smartphone and washing machine engineers fancied a change and banded together to look at the problem of stroke. Despite doctors being "dismissive", the engineers decided to take the project to Samsung's Creativity Lab, or C-Lab. C-Lab helps Samsung employees turn creative or quirky ideas into potentially commercial products.
The Samsung team reckon they've improved on current medical methods with the headset, which is made from a conductive and comfortable rubber-like material that doesn't require a saline solution rubbed onto your head.
In theory, the rubber material is versatile enough to make other things instead of a headset -- for example, sensors could be put into hairpins or eyeglasses so you can wear them all the time and monitor your brainwaves constantly.
As well as providing an early warning about the possibility of a stroke, the system can analyse stress and sleep patterns. The principles of EDSAP could also potentially be used to monitor electrocardiograms -- heartbeats -- so the team is looking at how the technology could be used to monitor your heart.
However, EDSAP is still at the very earliest stages, with clinical trials among the steps to be taken before EDSAP technology is ready for the public.
"Stroke is not inevitable," says Joe Korner, Director of External Affairs at the Stroke Association. "In many cases there are simple steps people can take to reduce their risk of stroke such as keeping their blood pressure under control, eating a balanced diet and exercising more. Anyone with any concerns about their risk of stroke should have a chat with their GP."
When someone has a stroke it's vital they receive emergency medical treatment as soon as possible. "If you think someone is having a stroke," advises Korner, "you can use the FAST test to recognise the signs:

Startup Ischemia Care raises $1.9M for stroke detection technology

This seems to be more useful as a way to know how to prevent future strokes than as a fast diagnosis of bleed vs. clot.
http://medcitynews.com/2014/10/startup-ischemia-care-raises-1-9m-stroke-detection-technology/?
image from link;