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      Estimation of respiratory rate using a microphone on face masks in various environments : 다양한 환경에서 안면마스크의 마이크를 이용한 호흡수 예측

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      https://www.riss.kr/link?id=T15936542

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      다국어 초록 (Multilingual Abstract)

      The respiratory rate (RR) is an important sign for predicting various
      critical clinical events. Numerous studies have proposed different methods to
      estimate RR. However, those researches conducted experiments in a controlled
      environment. Therefore, this study aims to measure RR by using nasal and
      mouth breath sound recordings from a microphone placed inside face masks
      during experiments in structured and complex environments. In addition, 3- ix -
      types of mask such as surgical, KF94, and reusable masks were used to
      conduct experiments in 4 environments including a room, a bus, a street, and
      a subway. The participants were instructed to inhale at each beeping sound
      and exhale before the next beep occurred at a metronome rate produced by a
      smartphone application ranging from 0.2 to 0.4 (Hz) which resembles 12 to 24
      (breaths/min). Thus, during the experiment, the participants were required to
      wear the proposed masks and earphones to listen to the beeping sounds. By
      our observation, the non-parametric periodogram method seems to have better
      performance for RR estimation. Therefore, the Welch periodogram method was
      used to estimate the power spectral density (PSD) of the breathing signal
      envelope and measure a RR by finding the peak of PSD. We collected data
      from 10 healthy participants for experiments. The first experiment by only
      breath through the nose achieved a median and IQR of accuracy and
      repeatability of 0% for all cases. The second experiment by only breath
      through the mouth yielded a median and IQR of accuracy and repeatability of
      0% for most cases, only IQR of repeatability was increased in the train
      environment at 0.2 Hz. Finally, the last experiment which breathed 30s through
      the nose and 30s through the mouth obtained 0% in the median of accuracy
      and repeatability for every case. However, the IQR of repeatability was
      increased in a bus and a train. In short, most experiments achieved a median
      and IQR of accuracy and repeatability as low as 0%. Furthermore, the duration
      of the signal that was used for RR estimation is only 20 seconds which is a
      real-time estimation and has been considered by a majority of previous
      studies.
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      The respiratory rate (RR) is an important sign for predicting various critical clinical events. Numerous studies have proposed different methods to estimate RR. However, those researches conducted experiments in a controlled environment. Therefore, th...

      The respiratory rate (RR) is an important sign for predicting various
      critical clinical events. Numerous studies have proposed different methods to
      estimate RR. However, those researches conducted experiments in a controlled
      environment. Therefore, this study aims to measure RR by using nasal and
      mouth breath sound recordings from a microphone placed inside face masks
      during experiments in structured and complex environments. In addition, 3- ix -
      types of mask such as surgical, KF94, and reusable masks were used to
      conduct experiments in 4 environments including a room, a bus, a street, and
      a subway. The participants were instructed to inhale at each beeping sound
      and exhale before the next beep occurred at a metronome rate produced by a
      smartphone application ranging from 0.2 to 0.4 (Hz) which resembles 12 to 24
      (breaths/min). Thus, during the experiment, the participants were required to
      wear the proposed masks and earphones to listen to the beeping sounds. By
      our observation, the non-parametric periodogram method seems to have better
      performance for RR estimation. Therefore, the Welch periodogram method was
      used to estimate the power spectral density (PSD) of the breathing signal
      envelope and measure a RR by finding the peak of PSD. We collected data
      from 10 healthy participants for experiments. The first experiment by only
      breath through the nose achieved a median and IQR of accuracy and
      repeatability of 0% for all cases. The second experiment by only breath
      through the mouth yielded a median and IQR of accuracy and repeatability of
      0% for most cases, only IQR of repeatability was increased in the train
      environment at 0.2 Hz. Finally, the last experiment which breathed 30s through
      the nose and 30s through the mouth obtained 0% in the median of accuracy
      and repeatability for every case. However, the IQR of repeatability was
      increased in a bus and a train. In short, most experiments achieved a median
      and IQR of accuracy and repeatability as low as 0%. Furthermore, the duration
      of the signal that was used for RR estimation is only 20 seconds which is a
      real-time estimation and has been considered by a majority of previous
      studies.

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      목차 (Table of Contents)

      • CHAPTER 1: INTRODUCTION 10
      • CHAPTER 2: RELATED WORK 13
      • CHAPTER 3: METHODS 16
      • 3.1 PROTOTYPE OF THE MASK 16
      • 3.2 DATA ACQUISITION 17
      • CHAPTER 1: INTRODUCTION 10
      • CHAPTER 2: RELATED WORK 13
      • CHAPTER 3: METHODS 16
      • 3.1 PROTOTYPE OF THE MASK 16
      • 3.2 DATA ACQUISITION 17
      • 3.3 DATA PREPROCESSING 19
      • 3.3 DATA ANALYSIS 21
      • CHAPTER 4: RESULTS 23
      • 4.1 FIRST EXPERIMENTS 23
      • 4.2 SECOND EXPERIMENTS 28
      • 4.3 THIRD EXPERIMENTS 33
      • CHAPTER 5: DISCUSSION AND CONCLUSION 39
      • REFERENCES 41
      • ACKNOWLEDGEMENT 46
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