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Validation of a Body-Conducted Sound Sensor for Respiratory Sound Monitoring and a Comparison with Several Sensors.
Joyashiki, Takeshi; Wada, Chikamune.
Affiliation
  • Joyashiki T; Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-ku, Kitakyushu 808-0196, Japan.
  • Wada C; Saiseikai Yahata General Hospital Department of Clinical Engineering, Harunomachi5-9-27, Yahatahigasi-ku, Kitakyusyu 805-0050, Japan.
Sensors (Basel) ; 20(3)2020 Feb 10.
Article in En | MEDLINE | ID: mdl-32050716
ABSTRACT
The ideal respiratory sound sensor exhibits high sensitivity, wide-band frequency characteristics, and excellent anti-noise properties. We investigated the body-conducted sound sensor (BCS) and verified its usefulness in respiratory sound monitoring through comparison with an air-coupled microphone (ACM) and acceleration sensor (B & K 8001). We conducted four experiments for comparison 1) estimation by equivalent circuit model of sensors and measurement by a sensitivity evaluation system; 2) measurement of tissue-borne sensitivity-to-air-noise sensitivity ratio (SRTA); 3) respiratory sound measurement through a simulator; and 4) actual respiratory sound measurement using human subjects. For 1), the simulation and measured values of all the sensors showed good agreement; BCS demonstrated sensitivity ~10 dB higher than ACM and higher sensitivity in the high-frequency segments compared with 8001. In 2), BCS showed high SRTA in the 600-1000 and 1200-2000-Hz frequency segments. In 3), BCS detected wheezes in the high-frequency segments of the respiratory sound. Finally, in 4), the sensors showed similar characteristics and features in the high-frequency segments as the simulators, where typical breathing sound detection was possible. BCS displayed a higher sensitivity and anti-noise property in high-frequency segments compared with the other sensors and is a useful respiratory sound sensor.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Sounds / Monitoring, Physiologic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Japan Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Sounds / Monitoring, Physiologic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2020 Document type: Article Affiliation country: Japan Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND