Presentation 1993/12/14
Adaptive cancelling of ambient noise in lung sound measurement
Akifumi Suzuki, Takayoshi Sumi, Kiyoshi Nakayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Ambient noise such as machine noise and human voice often disturbs lung sound measurement.We applied adaptive filtering technique to reduce ambient noise.An off-line adaptive noise canceller having a transversal filter was implemented in a workstation.Filter coefficients were controlled by LMS algorithm. Wide-band random noise and human voice were used as ambient noise. The performance of the canceller was assessed by changing canceller parameters and ambient noise level.The result showed that the ambient noise was reduced by about 30dB using a 256-tap filter with the convergence time of several seconds.The results show that this method is very effective for the ambient noise reduction in lung sound measurement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) lung sound / ambient noise / adaptive signal processing / noise cancellor / stethoscope
Paper # MBE93-101
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Conference Information
Committee MBE
Conference Date 1993/12/14(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive cancelling of ambient noise in lung sound measurement
Sub Title (in English)
Keyword(1) lung sound
Keyword(2) ambient noise
Keyword(3) adaptive signal processing
Keyword(4) noise cancellor
Keyword(5) stethoscope
1st Author's Name Akifumi Suzuki
1st Author's Affiliation Department of Electrical and Electronics Engineering,Faculty of Science and Technology,Sophia University()
2nd Author's Name Takayoshi Sumi
2nd Author's Affiliation Department of Electrical and Electronics Engineering,Faculty of Science and Technology,Sophia University
3rd Author's Name Kiyoshi Nakayama
3rd Author's Affiliation Department of Electrical and Electronics Engineering,Faculty of Science and Technology,Sophia University
Date 1993/12/14
Paper # MBE93-101
Volume (vol) vol.93
Number (no) 375
Page pp.pp.-
#Pages 7
Date of Issue