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Conference Paper Analysis of Irregular Breathing Using Respiration-Induced Intensity Variations (RIIV) from Photoplethysmography Signals for Sleep Apnea
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Authors
ChanYoung Hahm, SeungMin Lee, HyunSoon Shin
Issue Date
2016-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.52-55
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2016.7763433
Abstract
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 Keywords
Breathing Rhythm, Chronic conditions, Frequency domain(FD), Intensity variation, Photoplethysmography Signal, Respiratory Rate, Sleep Apnea, new method, self-diagnosis, sleep-disordered breathing