Inpatient Stroke Recovery Using Sensors
This observational study is looking at how wireless wearable sensors can help us understand stroke recovery. Researchers want to see if these sensors can continuously track and measure how people recover during their inpatient stay after a stroke. The study will compare data from people who have had a stroke with data from healthy individuals. The goal is to see if these sensors can accurately measure things like movement, speech, and swallowing, and help doctors understand how well someone is recovering. You could be eligible if you've had a stroke and are 18 or older, or if you are a healthy adult without significant health problems. The study aims to estimate clinical scores at discharge from inpatient stay.
- Study design
- This is an observational study planning to enroll 400 participants. It will compare individuals who have had a stroke with healthy controls.
- What's involved
- You would wear wireless wearable sensors that capture biometric and movement-based data. This monitoring would occur continuously during your inpatient stay, which averages 22 days.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint is measured at discharge from inpatient stay, which averages 22 days.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Inpatient Stroke Recovery Using Sensors
At a glance
Conditions
NCT04219670
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
Shirley Ryan AbilityLab
Chicago, Illinoisstudy coordinator listed
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Arun Jayaraman, PT, PhD · PRINCIPAL_INVESTIGATOR · Study Principal Investigator
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
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Inclusion
Exclusion
What this trial measures
- Discharge clinical scores estimationDischarge from inpatient stay. Average length of stay is 22 days.
Error between clinical scores estimated from machine learning algorithms trained on sensor data from the Admission time-point, and true scores assessed at the discharge from the hospital.