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      KCI등재

      효율적인 신호분리기법을 이용한 근접한 두 사람들의 비접촉식 생체신호 탐지 = Non-Contact Vital Sign Detection of Two Humans at the Same Distance Using Efficient Signal Decomposition

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      https://www.riss.kr/link?id=A106502057

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      다국어 초록 (Multilingual Abstract)

      Recently, non-contact vital sign(i.e. respiratory and cardiac rate) detection(VSD) techniques based on radar sensors have been developed for several applications in the medical, Internet of Things(IoT), and military fields. However, if two humans are located at the same distance, the VSD of these methods may fail. This is because the two humans yield mixed and complicated echo signals, thereby making the VSD task quite difficult. To overcome this problem, several signal decomposition methods, such as variational mode decomposition and multiple signal classification, have been developed. Nevertheless, mixed echo signals from two humans at the same distance cannot be decomposed. In this study, we propose a new signal decomposition method to achieve the VSD of humans at the same distance. In particular, the proposed method can simply decompose I- and Q-channel parts of a mixed echo signal into the individual phase fluctuations corresponding to each human, thereby providing improved computational efficiency. In experiments using the impulse-radio ultra-wideband radar, it was observed that the proposed algorithm can successfully achieve the VSD of two humans at the same distance.
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      Recently, non-contact vital sign(i.e. respiratory and cardiac rate) detection(VSD) techniques based on radar sensors have been developed for several applications in the medical, Internet of Things(IoT), and military fields. However, if two humans are ...

      Recently, non-contact vital sign(i.e. respiratory and cardiac rate) detection(VSD) techniques based on radar sensors have been developed for several applications in the medical, Internet of Things(IoT), and military fields. However, if two humans are located at the same distance, the VSD of these methods may fail. This is because the two humans yield mixed and complicated echo signals, thereby making the VSD task quite difficult. To overcome this problem, several signal decomposition methods, such as variational mode decomposition and multiple signal classification, have been developed. Nevertheless, mixed echo signals from two humans at the same distance cannot be decomposed. In this study, we propose a new signal decomposition method to achieve the VSD of humans at the same distance. In particular, the proposed method can simply decompose I- and Q-channel parts of a mixed echo signal into the individual phase fluctuations corresponding to each human, thereby providing improved computational efficiency. In experiments using the impulse-radio ultra-wideband radar, it was observed that the proposed algorithm can successfully achieve the VSD of two humans at the same distance.

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      참고문헌 (Reference)

      1 최인오, "원하지 않는 작은 동작에 의한 잡음 환경 내 생체신호 탐지 기법" 한국전자파학회 30 (30): 418-426, 2019

      2 이지훈, "원거리에서 측정 가능한 호흡 및 심박 수 측정을 위한 도플러 레이더 시스템" 한국전자파학회 25 (25): 418-425, 2014

      3 E. Schires, "Vital sign monitoring through the back using an UWB impulse radar with body coupled antennas" 12 (12): 292-302, 2018

      4 F. Adib, "Smart homes that monitor breathing and heart rate" 837-846, 2015

      5 C. Ding, "Noncontact multiple target vital sign detection based on VMD algorithm" 727-730, 2017

      6 고인창, "IR-UWB 레이다 기반의 무호흡 검출 및 호흡수 측정" 한국전자파학회 28 (28): 802-809, 2017

      7 Q. Lv, "High dynamic-range motion imaging based on linearized Doppler radar sensor" 62 (62): 1837-1846, 2014

      8 H. Lee, "A novel vital-sign sensing algorithm for multiple subject based on 24-GHz FMCW Doppler radar" 11 (11): 1237-, 2019

      1 최인오, "원하지 않는 작은 동작에 의한 잡음 환경 내 생체신호 탐지 기법" 한국전자파학회 30 (30): 418-426, 2019

      2 이지훈, "원거리에서 측정 가능한 호흡 및 심박 수 측정을 위한 도플러 레이더 시스템" 한국전자파학회 25 (25): 418-425, 2014

      3 E. Schires, "Vital sign monitoring through the back using an UWB impulse radar with body coupled antennas" 12 (12): 292-302, 2018

      4 F. Adib, "Smart homes that monitor breathing and heart rate" 837-846, 2015

      5 C. Ding, "Noncontact multiple target vital sign detection based on VMD algorithm" 727-730, 2017

      6 고인창, "IR-UWB 레이다 기반의 무호흡 검출 및 호흡수 측정" 한국전자파학회 28 (28): 802-809, 2017

      7 Q. Lv, "High dynamic-range motion imaging based on linearized Doppler radar sensor" 62 (62): 1837-1846, 2014

      8 H. Lee, "A novel vital-sign sensing algorithm for multiple subject based on 24-GHz FMCW Doppler radar" 11 (11): 1237-, 2019

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-04-08 학술지명변경 외국어명 : The Journal Of The Korea Electromagnetic Engineering Society -> The Journal Of Korean Institute of Electromagnetic Engineering and Science KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.2 0.2 0.17
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.15 0.13 0.363 0.1
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