Tracking Sleep Position and In-Sleep Stroke Detection
Sleep plays an important role in recovering physical and metal functions. In this research, we focused on two research topics. First research topic is tracking sleep positions by wearable sensors. most of existing sleep trackers merely show quantitative information about sleep patterns and duration at each sleep stage overlooking the importance of sleep positions upon sleep qualities. To have sound sleep, one has to avoid bad sleep positions associated with health conditions such as obstructive sleep apnea, sudden infant death syndrome, pregnancy, snoring, and so on. Second sleep topic is detecting in-sleep stroke. Stroke is the third leading cause of death in the United State. More than 140,000 people die each year from stroke in the United States, and the risk of having a stroke is more than doubles each decade after the age of 55. Problem is that stroke could happen in sleep. To prevent and early treatment of the stroke, we analyze sleep motion and provide in-sleep stroke detection system.
Sanghoon Jeon (email@example.com)
Anand Paul (firstname.lastname@example.org)
Yang-Soo Lee (email@example.com)
Taejoon Park (firstname.lastname@example.org )
Ae-ryung Kim (email@example.com)
Sanghoon Jeon, Yang-Soo Lee, and Taejoon Park, “A Wearable Sleep Position Tracking System Based on Wrist Motion Analysis”, submitted to IEEE Sensors Journal, 2016.
Sanghoon Jeon, Yang-Soo Lee, Ae-ryung Kim, Sang Hyuk Son, and Taejoon Park, “Reducing False Positives of In-sleep Stroke Detection by Considering Sleep Positions”, submitted to Journal of biomechanics, 2016.