Respiration Measurement Technology Based on Inertial Sensors：A Review

doi:10.3901/JME.2024.20.001

Abstract

Abstract: With the increasing demand for disease prediction and diagnosis, scientific and technological innovation for people’s life and health has become an urgent need, and wearable equipment for monitoring physiological signals has attracted more and more attention. Respiration is an important parameter that reflects the physiological state of the human body. For example, major diseases such as pneumonia, sleep apnea syndrome, and pulmonary embolism are often accompanied by changes in human respiratory parameters. Monitoring respiratory parameters can effectively predict and diagnose related diseases, but corresponding wearable monitoring technology has yet to make significant progress. Due to the advantages of low invasiveness and light weight, inertial sensors are very suitable to be developed into wearable devices for monitoring breathing signals. Firstly, starting from the development processes of respiration monitoring with inertial sensors, and discusses in detail the four development stages of respiration monitoring with inertial sensors (respiration waveform extraction, apnea recognition, sleep posture recognition, and respiration monitoring when walking and running), the methods of respiration monitoring with inertial sensors, and the approaches of sensor data processing. Secondly, a comparative analysis of different stages of respiration monitoring by inertial sensors is carried out, and the advantages and disadvantages of different methods are described in detail. Thirdly, the challenges and future development directions of inertial sensors for monitoring respiration are summarized and prospected. Finally, some suggestions and predictions are made for the development of wearable respiratory monitoring devices based on inertial sensors.

Key words: inertial sensors, wearable devices, accelerometers, imu, respiration measurement, respiratory rate, physiological parameter monitoring

CLC Number:

TG156

FANG Xudong, DENG Wubin, WU Zutang, LI Jin, WU Chen, MAEDA Ryutaro, TIAN Bian, ZHAO Libo, LIN Qijing, ZHANG Zhongkai, HAN Xiangguang, JIANG Zhuangde. Respiration Measurement Technology Based on Inertial Sensors：A Review[J]. Journal of Mechanical Engineering, 2024, 60(20): 1-23.

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