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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(2), pp.163-170
  • DOI : 10.9708/jksci.2022.27.02.163
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 25, 2022
  • Accepted : February 18, 2022
  • Published : February 28, 2022

Ho-Young Kwak 1,  Jin-Wook Chang 2,  Soo Kyun Kim 1,  Woojin Song ORD ID 1,  Yun, Young-Min ORD ID 1

1제주대학교
2주식회사 에이치알지

Accredited

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.

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This paper was written with support from the National Research Foundation of Korea.
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