Workshop PFT

Research Article

System for Simultaneous Measurement of Breathing Rate and Heart Rate using Photoplethysmogram

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  • @INPROCEEDINGS{10.4108/icst.bodynets.2013.253646,
        author={Toshinori Kagawa and Atsuko Kawamoto and Nobuo Nakajima},
        title={System for Simultaneous Measurement of Breathing Rate and Heart Rate using Photoplethysmogram},
        proceedings={Workshop PFT},
        publisher={ICST},
        proceedings_a={PFT},
        year={2013},
        month={10},
        keywords={wearable sensor wrist-watch type pulse sensor healthcare photoplethysmogram},
        doi={10.4108/icst.bodynets.2013.253646}
    }
    
  • Toshinori Kagawa
    Atsuko Kawamoto
    Nobuo Nakajima
    Year: 2013
    System for Simultaneous Measurement of Breathing Rate and Heart Rate using Photoplethysmogram
    PFT
    ICST
    DOI: 10.4108/icst.bodynets.2013.253646
Toshinori Kagawa1,*, Atsuko Kawamoto2, Nobuo Nakajima2
  • 1: National Institute of Information and Communications Technology
  • 2: The University of Electro-Communications
*Contact email: kagawa@nict.go.jp

Abstract

Wearable vital sensors for monitoring parameters such as breathing rate and heart rate are important for the daily care of patients and solitary people in home healthcare applications. At present, there are many types of heart rate measurement sensors, including those that are attached to the fingertips, chest, and wrist. However, these types of sensors are unsuitable for home healthcare use because they are too bothersome for daily use. These sensors use a photoplethysmogram to measure the heart rate. Although a breathing signal is also superimposed on the heart rate, the problem is that this signal is very weak and unstable. In the work described in this paper, we developed a reliable breathing rate and heart rate measurement sensor. The sensor is attached on the wrist, like a wristwatch. Such wrist-worn sensors already exist, but they are unreliable due to their generally low sensitivity. In contrast, our newly developed sensor employs an array of multiple photo-interrupters and selects the most reliable photo-interrupter by employing a unique algorithm. In addition, the sensor data is sent to a data logger wirelessly in order to achieve stress-free daily health care monitoring.