[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2022.27.02.163

A Method to Separate Respiration and Pulse Signals from BCG Sensing Data for Companion Animals

Kwak, Ho-Young (Dept. of Computer Engineering, Jeju National University)
Chang, Jin-Wook (HRG Incorporated.)
Kim, Soo Kyun (Dept. of Computer Engineering, Jeju National University)
Song, Woo Jin (Dept. of Veterinary Medicine, Jeju National University)
Yun, Young-Min (Dept. of Veterinary Medicine, Jeju National University)

Publication Information

Journal of the Korea Society of Computer and Information / v.27, no.2, 2022 , pp. 163-170 More about this Journal

Abstract

Currently, as the number of families living with companion animals increases, the demand for information about the health status of companion animals has increased. As the demand for this increases, there is a need for a method to measure respiration and pulse in companion animals. Considering the characteristics of hairy companion animals, we want to measure respiration and pulse signals using BCG, which is different from adsorption ECG. Since this BCG method is made by mixing respiration and pulse signals into one signal, it is necessary to separate the respiration signal waveform and the pulse signal waveform from one signal waveform. In this paper, a wearable device for BCG measurement was implemented to measure the signal, and a method of separating the signal input from the BCG wearable device into a respiration signal and a pulse signal was proposed.

Keywords

BCG(ballistocardiogram); ECG(electrocardiogram); respiration; puls; signal separation;

Citations & Related Records

Times Cited By KSCI : 3 (Citation Analysis)

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