부산대학교 도서관

The proposed method for detection movement activity can help to diagnose Periodic Limb Movement Disorder, which can be treated with the special therapy. Nowadays there is a lack of effective non-contact ways for daily sleep movements disorders detection. Such sleep disorders may lead to dangerous health conditions. So development of new reliable unobtrusive methods for sleep movements disorders detection is an up-to-date task of modern medicine. Bioradiolocation, which allows detection and diagnostics of many pathologies without any physical contact with the human body, can be used to solve this problem. In particular, in the present paper, we propose the algorithm, which processes the radar’s data and allows detecting and analyzing movement activity of a person in sleep. The proposed algorithm was validated using data of three volunteers with different severity of periodic limb movement disorder, which underwent a study in a sleep medicine laboratory of Almazov National Medical Research Centre. The results showed that the accuracy, sensitivity and specificity for proposed movement detection algorithm for all three subjects were higher than 97 %, 71 % and 98 %, respectively.