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학술지 Recognition of Respiratory Instability Using a Photoplethysmography of Wrist-watch Type Wearable Device
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저자
남승윤, 로렌조, 함찬영, 신현순
발행일
202204
출처
IEIE Transactions on Smart Processing and Computing, v.11 no.2, pp.97-104
ISSN
2287-5255
출판사
대한전자공학회 (IEIE)
DOI
https://dx.doi.org/10.5573/IEIESPC.2022.11.2.97
협약과제
21PB5100, 비대면 학습 및 산업현장 지원을 위한 감성 인지·교감 AI 서비스 기술 개발, 신현순
초록
The photoplethysmography signal is composed of a cardiac-synchronous pulsatile waveform and different parts, which is modulated in amplitude by respiration. This paper presents a new indexing method similar to the apnea-hypopnea index and respiratory disturbance index for the self-diagnosis of sleep apnea symptoms (central and obstructed apnea) by using only a photoplethysmogram (PPG) signal. Sleep apnea is a sleeping disorder from several chronic conditions in which partial or complete cessation of breathing occurs many times throughout sleep at night. A respiratory rate signal (respiration-induced intensity variation) is modulated by synchronizing with the breathing rhythm extracted from PPG using a reflected light on the top of the wrist. This paper presents a new automated recognition and estimation method for daytime apnea and sleep-induced apnea using a wristwatch-type wearable device that can recognize irregular breathing using respiratory rate frequency-based features. The new respiratory effort strength index is proposed to quantify sleep apnea by determining how much a patient is suffering.
KSP 제안 키워드
Apnea-Hypopnea index, Breathing Rhythm, Chronic conditions, Different parts, Disturbance index, Estimation method, Intensity variation, Photoplethysmography Signal, Reflected light, Respiratory effort, Respiratory rate