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학술대회 Analysis of Irregular Breathing Using Respiration-Induced Intensity Variations (RIIV) from Photoplethysmography Signals for Sleep Apnea
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저자
함찬영, 신현순, 이승민
발행일
201610
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.52-55
DOI
https://dx.doi.org/10.1109/ICTC.2016.7763433
협약과제
16HH3300, 심리인지 기반 안전한 병영 생활관리 시스템 기술 개발, 신현순
초록
In this paper, a technique for self-diagnosis devices of the sleep apnea symptoms (central and obstructed apnea) based on photoplethysmography (PPG) signal is presented. An umbrella term, Sleep apnea is a sleep-disordered breathing for several chronic conditions in which partial or complete cessation of breathing occurs many times throughout the night. A respiratory rate in this paper is extracted from photoplethysmography signals which is modulated by synchronized original breathing rhythm. This paper presents a new method for sleep apnea, central and obstructed experimentally, that recognize the irregular breathing using a features of respiratory rate based on frequency domain.
KSP 제안 키워드
Breathing Rhythm, Chronic conditions, Intensity variation, Photoplethysmography Signal, Respiratory rate, Sleep Apnea, frequency domain(FD), new method, self-diagnosis, sleep-disordered breathing