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Detection of Heartbeat and Respiration Signal Using the Aircushion and the Frequency Domain Filter  

Kim, Joo-Han (Dept. Biomedical Engineering, Yonsei University)
Cho, Sung-Pil (Dept. Biomedical Engineering, Yonsei University)
Shin, Jae-Yeon (Dept. Biomedical Engineering, Yonsei University)
Lee, Jeon (Department of Oriental Biomedical Engineering, Daegu Hanny University)
Lee, Kyoung-Joung (Dept. Biomedical Engineering, Yonsei University)
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Abstract
In this study, we have proposed a simple cardiorespiratory monitoring method based on displacements of human body which occurs due to periodic heartbeat and breathing. The proposed system consists of an aircushion, pressure sensing hardware and heartbeat and respiration signals extraction algorithm. The aircushion was used for unconstrained measurement of the respiration and heartbeats without a sensor attached on the subject's skin surface. The displacements of subject sitting on the aircushion cause small pressure variations. These variations are amplified and filtered with the pressure sensing hardware. Finally, heart rate and respiration rate are extracted by signal processing algorithm based on frequency domain filter. To evaluate the performance, extracted respiration and heart rate from proposed system were compared with conventional methods. The average sensitivity of respiration and heart rate are 98.67% and 99.24%, respectively. These results show the proposed method has advantages of installing and processing simplicity so as to be used easily in unconstrained respiration and heart rate monitoring in daily life.
Keywords
aircushion; unconstrained; pressure; frequency domain filter;
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