IoT based wake-up stroke prediction - Recent trends and directions

Abstract

Stroke is a brain attack occurs when the "sudden disturbance of blood supply" to the brain. The reasons could be either the blood supply suddenly interrupted to part of the brain or a blood vessel ruptures or blood invades the surrounding area. Wake-up stroke – stroke onset during night-time sleep, where a patient waking-up with stroke symptoms that were not present before falling asleep. Recently, stroke on awakening (i.e., stroke symptoms within 30 min of awakening) also included wake-up stroke group. Studies indicated that the percentage of wake-up stroke between 8 to 28 % of all ischemic strokes. It is difficult to treat this large group of patients, since, the exact time of stroke onset unknown. Internet of Things (IoT), an extensive set of technologies could be used as one of the solutions to predict stroke onset. This paper discusses the critical role of IoT on wake-up stroke prediction. The physiological parameters measured while sleeping, risk factors associated with stroke, embedded and wearable sensors used for sleep monitoring, and data mining techniques available for diseases prediction are discussed. Finally, the outline of our developing wake-up stroke prediction system is presented.