DocumentCode
1483744
Title
Development of Unconstrained Heartbeat and Respiration Measurement System With Pneumatic Flow
Author
Kurihara, Yosuke ; Watanabe, K.
Author_Institution
Dept. of Comput. & Inf. Sci., Seikei Univ., Tokyo, Japan
Volume
6
Issue
6
fYear
2012
Firstpage
596
Lastpage
604
Abstract
The management of health through daily monitoring of heartbeat and respiration signals is of major importance for early diagnosis to prevent diseases of the respiratory and circulatory system. However, such daily health monitoring is possible only if the monitoring system is physically and psychologically noninvasive. In this paper, an unconstrained method of measuring heartbeat and respiration signals, by using a thermistor to measure the air flows from the air mattress to an air tube accompanying the subject´s heartbeat and respiration, is proposed. The SN ratio with interference by opening and closing of a door as environmental noise was compared with that obtained by the conventional condenser microphone method. As a result, the SN ratios with the condenser microphone method were 26.6 ± 4.2 dB for heartbeat and 27.8 ± 3.0 dB for respiration, whereas with the proposed method they were 34.9 ± 3.1 dB and 42.1 ± 2.5 dB, respectively.
Keywords
biomedical measurement; cardiology; diseases; flow measurement; medical signal processing; microphones; noise (working environment); patient diagnosis; patient monitoring; pneumodynamics; thermistors; SN ratio; air flow measurement; air mattress; air tube; circulatory system; condenser microphone method; diagnosis; diseases; environmental noise; health monitoring system; heartbeat monitoring; pneumatic flow; respiration signal measurement; thermistor; unconstrained heartbeat signal measurement; Biomedical measurements; Heart beat; Heart rate variability; Pneumatic systems; Thermistors; Heartbeat; pneumatic flow; respiration; thermistor; unconstrained biomeasurement; Air; Beds; Biomedical Engineering; Cardiovascular Diseases; Equipment Design; Heart Rate; Humans; Mathematical Concepts; Models, Biological; Monitoring, Physiologic; Posture; Respiration; Respiratory Tract Diseases; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio;
fLanguage
English
Journal_Title
Biomedical Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
1932-4545
Type
jour
DOI
10.1109/TBCAS.2012.2189007
Filename
6178025
Link To Document