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Noncontact Sleep Study by Multi-Modal Sensor Fusion

Title
Noncontact Sleep Study by Multi-Modal Sensor Fusion
Author
조석현
Keywords
radar; vital signal; sleep stage; medical device; sensor fusion; microphone
Issue Date
2017-07
Publisher
MDPI AG
Citation
SENSORS, v. 17, no. 7, Article no. 1685
Abstract
Polysomnography (PSG) is considered as the gold standard for determining sleep stages, but due to the obtrusiveness of its sensor attachments, sleep stage classification algorithms using noninvasive sensors have been developed throughout the years. However, the previous studies have not yet been proven reliable. In addition, most of the products are designed for healthy customers rather than for patients with sleep disorder. We present a novel approach to classify sleep stages via low cost and noncontact multi-modal sensor fusion, which extracts sleep-related vital signals from radar signals and a sound-based context-awareness technique. This work is uniquely designed based on the PSG data of sleep disorder patients, which were received and certified by professionals at Hanyang University Hospital. The proposed algorithm further incorporates medical/statistical knowledge to determine personal-adjusted thresholds and devise post-processing. The efficiency of the proposed algorithm is highlighted by contrasting sleep stage classification performance between single sensor and sensor-fusion algorithms. To validate the possibility of commercializing this work, the classification results of this algorithm were compared with the commercialized sleep monitoring device, ResMed S+. The proposed algorithm was investigated with random patients following PSG examination, and results show a promising novel approach for determining sleep stages in a low cost and unobtrusive manner.
URI
https://www.mdpi.com/1424-8220/17/7/1685http://repository.hanyang.ac.kr/handle/20.500.11754/114797
ISSN
1424-8220
DOI
10.3390/s17071685
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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