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The Respiration Rate Extraction Technique via Continuous Wave Doppler Radar within Real Life Environment
- Authors
- Chang, Joon Hyuk; Chung, Ku-young; Lee, Bong-Ki; Song, Kwangsub; Shin, Kangsoo; Cho, Seok Hyun
- Issue Date
- Jan-2017
- Publisher
- 대한전자공학회
- Citation
- 대한전자공학회 학술대회, pp.611 - 612
- Indexed
- OTHER
- Journal Title
- 대한전자공학회 학술대회
- Start Page
- 611
- End Page
- 612
- Abstract
- In this paper, we present the sufficient breathing rate extraction method within real life environment using 24GHz continuous wave (CW) Doppler radar sensor. In order to extract respiration rate (RR) within real life environments, signal processing techniques such as Savizky-Golay (SG) filter and newly developed movemnet detection algorithm (MDA) are proposed. The result of this method is compared to the reference device to determine its performance.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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Related Researcher
- Chang, Joon-Hyuk
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)