Deans' stroke musings: Assessing Actigraphy Performance for Daytime Sleep Detection Following Stroke: Insights from Inpatient Monitoring in a Rehabilitation Hospital

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.

Friday, August 2, 2024

Assessing Actigraphy Performance for Daytime Sleep Detection Following Stroke: Insights from Inpatient Monitoring in a Rehabilitation Hospital

My sleepiness during the daytime was directly the result of overwhelming fatigue, so I don't think you understand what is going on with stroke survivors. You can't solve fatigue if you don't identify it as a problem!

Assessing Actigraphy Performance for Daytime Sleep Detection Following Stroke: Insights from Inpatient Monitoring in a Rehabilitation Hospital

Abstract

Study Objectives

Stroke can result in or exacerbate various sleep disorders. The presence of behaviors such as daytime sleepiness poststroke can indicate underlying sleep disorders which can significantly impact functional recovery and thus require prompt detection and monitoring for improved care. Actigraphy, a quantitative measurement technology, has been primarily validated for nighttime sleep in healthy adults; however, its validity for daytime sleep monitoring in is currently unknown. Therefore this study aims to identify the best-performing actigraphy sensor and algorithm for detecting daytime sleep in poststroke individuals.

Methods

Participants wore ActiWatch Spectrum and ActiGraph wGT3X-BT on their less-affected wrist, while trained observers recorded daytime sleep occurrences and activity levels (active, sedentary, asleep) during non-therapy times. Algorithms, ActiWatch (Autoscore AMRI) and ActiGraph (Cole-Kripke, Sadeh), were compared with on-site observations and assessed using F2 scores, emphasizing sensitivity to detect daytime sleep.

Results

Twenty-seven participants from an inpatient stroke rehabilitation unit contributed 173.5 hours of data. The ActiGraph Cole-Kripke algorithm (min sleep time=15 mins, bedtime=10 mins, and wake time=10 mins) achieved the highest F2 score (0.59). Notably, when participants were in bed, the ActiGraph Cole-Kripke algorithm continued to outperform Sadeh and ActiWatch ARMI, with an F2 score of 0.69.

Conclusions

The study demonstrates both ActiWatch and ActiGraph's ability to detect daytime sleep, particularly during bed rest. ActiGraph (Cole-Kripke) algorithm exhibited a more balanced sleep detection profile and higher F2 scores compared to ActiWatch, offering valuable insights for optimizing daytime sleep monitoring with actigraphy in stroke patients.