Nonconstrained sleep monitoring system and algorithms using air-mattress with balancing tube method

  • Authors:

  • Jae Hyuk Shin;Young Joon Chee;Do-Un Jeong;Kwang Suk Park

  • Affiliations:

  • Interdisciplinary Program on Biomedical Engineering, Seoul National University, Graduate School, Seoul, Korea;Department of Biomedical Engineering, Ulsan University, Ulsan, Korea;Division of Sleep Studies, Department of Neuropsychiatry, Clinical Research Institute, Seoul National University College of Medicine and Hospital, Seoul, Korea;Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul, Korea

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2010

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Abstract

We evaluated the performance of a bed-type sensor system using the air-mattress with balancing tube (AMBT) method to noninvasively monitor the signals of heartbeat, respiration, and events of snoring, sleep apnea and body movement of subject on the system. The proposed system consists of multiple cylindrical air cells, two sensor cells and 18 support cells, and the small physiological signals were measured by the changes in pressure difference between the sensor cells, and the dc component was removed by balancing tube that is connecting the sensor cells. Using newly developed AMBT method, heartbeat, respiration, snoring, and body movement signals were clearly measured. For the concept of a home healthcare system, two automatic processing algorithms were developed: one is to estimate the mean heart and respiration rates for every 30 s, and another one is to detect the snoring, sleep apnea, and bodymovement events from themeasured signals. In the beat-to-beat heart rate and breath-by-breath respiration rate analyses, the correlation coefficients of the heart and respiration rates from the proposed AMBT method compared with reference methods, electrocardiogram, and respiration effort signal from piezoelectric belt, were 0.98 (p p