Literature DB >> 19272887

Air-borne and tissue-borne sensitivities of bioacoustic sensors used on the skin surface.

Matías Zañartu1, Julio C Ho, Steve S Kraman, Hans Pasterkamp, Jessica E Huber, George R Wodicka.   

Abstract

Measurements of body sounds on the skin surface have been widely used in the medical field and continue to be a topic of current research, ranging from the diagnosis of respiratory and cardiovascular diseases to the monitoring of voice dosimetry. These measurements are typically made using light-weight accelerometers and/or air-coupled microphones attached to the skin. Although normally neglected, air-borne sounds generated by the subject or other sources of background noise can easily corrupt such recordings, which is particularly critical in the recording of voiced sounds on the skin surface. In this study, the sensitivity of commonly used bioacoustic sensors to air-borne sounds was evaluated and compared with their sensitivity to tissue-borne body sounds. To delineate the sensitivity to each pathway, the sensors were first tested in vitro and then on human subjects. The results indicated that, in general, the air-borne sensitivity is sufficiently high to significantly corrupt body sound signals. In addition, the air-borne and tissue-borne sensitivities can be used to discriminate between these components. Although the study is focused on the evaluation of voiced sounds on the skin surface, an extension of the proposed methods to other bioacoustic applications is discussed.

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Year:  2008        PMID: 19272887     DOI: 10.1109/TBME.2008.2008165

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  13 in total

1.  Investigating a compact phantom and setup for testing body sound transducers.

Authors:  Hansen A Mansy; Joshua Grahe; Thomas J Royston; Richard H Sandler
Journal:  Comput Biol Med       Date:  2011-04-14       Impact factor: 4.589

2.  Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform.

Authors:  Daryush D Mehta; Matías Zañartu; Shengran W Feng; Harold A Cheyne; Robert E Hillman
Journal:  IEEE Trans Biomed Eng       Date:  2012-08-02       Impact factor: 4.538

3.  Observation and analysis of in vivo vocal fold tissue instabilities produced by nonlinear source-filter coupling: a case study.

Authors:  Matías Zañartu; Daryush D Mehta; Julio C Ho; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2011-01       Impact factor: 1.840

4.  The difference between first and second harmonic amplitudes correlates between glottal airflow and neck-surface accelerometer signals during phonation.

Authors:  Daryush D Mehta; Víctor M Espinoza; Jarrad H Van Stan; Matías Zañartu; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

5.  Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodules.

Authors:  Marzyeh Ghassemi; Jarrad H Van Stan; Daryush D Mehta; Matías Zañartu; Harold A Cheyne; Robert E Hillman; John V Guttag
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

6.  Comparison of voice relative fundamental frequency estimates derived from an accelerometer signal and low-pass filtered and unprocessed microphone signals.

Authors:  Yu-An S Lien; Cara E Stepp
Journal:  J Acoust Soc Am       Date:  2014-05       Impact factor: 1.840

7.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

8.  Accuracy of Self-Reported Estimates of Daily Voice Use in Adults With Normal and Disordered Voices.

Authors:  Daryush D Mehta; Harold A Cheyne; Asa Wehner; James T Heaton; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2016-11-01       Impact factor: 2.408

9.  Relationships between vocal function measures derived from an acoustic microphone and a subglottal neck-surface accelerometer.

Authors:  Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2016-01-11

10.  Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer Signals.

Authors:  Matti D Groll; Jennifer M Vojtech; Surbhi Hablani; Daryush D Mehta; Daniel P Buckley; J Pieter Noordzij; Cara E Stepp
Journal:  J Voice       Date:  2020-07-09       Impact factor: 2.009

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