Recognition of Respiratory Instability using a Photoplethysmography of Wrist-watch type Wearable Device

作     者：Nam, Seungyoon Bautista, John Lorenzo Hahm, Chanyoung Shin, Hyunsoon 

作者机构：Department of Computer Software ICT University of Science and Technology Daejeon34113 Korea Republic of Research Laboratory Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of 

出 版 物：《IEIE Transactions on Smart Processing and Computing》 (IEIE Trans. Smart Process Comput.)

年 卷 期：2022年第11卷第2期

页      面：97-104页

核心收录：

基　　金：This work was supported by the Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korea government (MOTIE) (No. 20012603  Development of Emotional Cognitive and Sympathetic AI Service Technology for Remote (Non-face-to-face) Learning and Industrial Sites) 

主　　题：Frequency estimation 

摘      要：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. © 2022 The Institute of Electronics and Information Engineers.