주파수 밴드 가변형의 광용적맥파 분석을 통한 호흡률 추정 기법 제안

초록

Recently, with the advancement of digital healthcare technology, various studies have been conducted on wearable devices that detect bio-information non-invasively and insensibly. Optical signals are mainly used as a mechanism for capturing bio-signals in wearable devices, and photoplethysmography (PPG) is a representative bio-signal that can be obtained from a living body. Bio-signals that can be directly obtained through PPG signals include oxygen saturation and heart rate, and respiration rate can be obtained through signal processing. Wearable devices are usually worn in daily life to observe bio-signals, and a respiration rate detection algorithm that can be applied in various situations including exercise environments is expected to be very useful. In this paper, we propose an algorithm that can detect respiration rate in real time from PPG data, and this algorithm can effectively measure respiration signals by controlling the number of fast Fourier transform(FFT) channels according to changes in heart rate in normal and exercise situations.

키워드