Transforming Acute Stroke Detection through Real Time Neurological Monitoring

The objective of this project is to develop a monitoring system for the early detection of stroke in at-risk subjects. The technical system is composed of a wearable sensor with the capacity to collect and to stream motion data via Bluetooth technology to a tablet for data storage. The specific aim of this study is to evaluate the efficacy of an existing technical system, currently used in seizure monitoring, when applied to stroke. The technical system will be tested both in patients who have suffered a stroke as well as in normal healthy volunteers, with the efficacy analysis based on the system's ability to detect person-specific and disease-specific (i.e., stroke-specific) patterns of motion.

Arm 1: Normal Healthy Volunteers

Inclusion Criteria
Age ≥ 18 years.
Exclusion Criteria
History of prior stroke (ischemic or hemorrhagic) or transient ischemic attack (TIA).
Known history or diagnosis of any neurological disease, including neurodegenerative and motor neuron diseases, that may affect the determination of a healthy, stroke-free limb movement signature.
Presence of any non-stroke related deficit that, in the judgment of the investigator, would complicate determination of a normal limb movement signature.
Inability to perform the study procedures.
Inability or unwillingness to give written informed consent.

Arm 2: Patients with a recent diagnosis of stroke
Inclusion Criteria
Age ≥ 18 years.
Recent ischemic or hemorrhagic stroke resulting in present focal insults to the extremities.

Exclusion Criteria
Presence of any non-stroke related deficit that would complicate determination of a limb movement signature of stroke-related deficits.
Inability to perform the study procedures.
Inability or unwillingness of subject of legally authorized representative to give written informed consent.