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Analysis of irregular breathing using respiration-induced intensity variations (RIIV) from photoplethysmography signals for sleep apnea

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.