Literature DB >> 22255922

Swallowing detection by sonic and subsonic frequencies: a comparison.

Juan M Fontana1, Pedro L Melo, Edward S Sazonov.   

Abstract

The detection of swallowing events by acoustic means represents an important tool to assess and diagnose swallowing disorders as well as to objectively monitor ingestive behavior of individuals. Acoustic sensors used to register swallowing sounds may also capture sound artifacts arising from intrinsic speech and external noise affecting the detection. In this paper we tested if subsonic frequencies are less prone to artifacts from speech, chewing and other intrinsic sounds than sonic frequencies. A simple method using a throat and an ambient microphone was employed to compare the swallowing detection accuracy by acoustic signals acquired in the sonic (20-2500 Hz) and subsonic (≤ 5 Hz) ranges. Averaged recall values were higher than 85% for both ranges. However, averaged precision values of 50% for subsonic frequencies and of 42% for sonic frequencies were caused by a high number of false positives. These results indicated no significant difference between averaged precision values which may suggest that subsonic frequencies were not less prone to intrinsic sound artifacts than frequencies in the sonic range. Further examination with the addition of a signal classification layer is proposed as a future step to confirm this statement.

Mesh:

Year:  2011        PMID: 22255922     DOI: 10.1109/IEMBS.2011.6091735

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds.

Authors:  Joshua M Dudik; Iva Jestrović; Bo Luan; James L Coyle; Ervin Sejdić
Journal:  IEEE Trans Biomed Eng       Date:  2015-05-12       Impact factor: 4.538

2.  A comparison between swallowing sounds and vibrations in patients with dysphagia.

Authors:  Faezeh Movahedi; Atsuko Kurosu; James L Coyle; Subashan Perera; Ervin Sejdić
Journal:  Comput Methods Programs Biomed       Date:  2017-03-10       Impact factor: 5.428

3.  A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-01-17       Impact factor: 4.589

4.  Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.

Authors:  Joshua M Dudik; James L Coyle; Ervin Sejdić
Journal:  IEEE Trans Hum Mach Syst       Date:  2015-08       Impact factor: 2.968

5.  A comparative analysis of swallowing accelerometry and sounds during saliva swallows.

Authors:  Joshua M Dudik; Iva Jestrović; Bo Luan; James L Coyle; Ervin Sejdić
Journal:  Biomed Eng Online       Date:  2015-01-12       Impact factor: 2.819

  5 in total

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