Detection of swallows with silent aspiration using swallowing and breath sound analysis.

In this study, the feasibility of acoustical analysis for detection of swallowing silent aspiration is investigated. As a pilot study, we analyzed the breath sounds of 21 dysphagic individuals, 11 of which demonstrated aspiration during the fiberoptic endoscopic evaluation of swallowing (FEES) or vi...

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Publicado en:Medical & Biological Engineering & Computing Vol. 50; no. 12; pp. 1261 - 1269
Autores principales: Sarraf Shirazi S, Buchel C, Daun R, Lenton L, Moussavi Z, Sarraf Shirazi, Samaneh, Buchel, Caitlin, Daun, Reesa, Lenton, Laura, Moussavi, Zahra
Formato: research Journal Article
Publicado: Springer Nature Dec2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2012
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      pub: Springer Nature
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        atl: Detection of swallows with silent aspiration using swallowing and breath sound analysis.
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          Sarraf Shirazi S
          Buchel C
          Daun R
          Lenton L
          Moussavi Z
          Sarraf Shirazi, Samaneh
          Buchel, Caitlin
          Daun, Reesa
          Lenton, Laura
          Moussavi, Zahra
        affil: Department of Electrical and Computer Engineering, University of Manitoba, Room E3-518 Eng. Bldg., 75A Chancellor's Circle, Winnipeg, MB R3T 5V6, Canada
      sug:
        subj:
          Deglutition Physiology
          Aspiration Diagnosis
          Respiratory Sounds Physiology
          Signal Processing, Computer Assisted
          Adult
          Algorithms
          Cluster Analysis
          Deglutition Disorders Physiopathology
          Female
          Human
          Male
          Aspiration Physiopathology
          Aspiration Prevention and Control
          Sound Spectrography
          Adult: 19-44 years
          Female
          Male
      ab: In this study, the feasibility of acoustical analysis for detection of swallowing silent aspiration is investigated. As a pilot study, we analyzed the breath sounds of 21 dysphagic individuals, 11 of which demonstrated aspiration during the fiberoptic endoscopic evaluation of swallowing (FEES) or videofluoroscopic swallowing study (VFSS). We found that the low frequency components of the power spectrum of the breath sounds after a swallow show higher magnitude when there is aspiration. Thus, we divided the frequency range below 300 Hz into three sub-bands and calculated the average power of the breath sound signal in each sub-band as the characteristic features for the stage 1 classification into two groups of aspirated and non-aspirated patients. Then, for the aspirated group, the unsupervised fuzzy k-means clustering algorithm was deployed to label the breath sounds immediately after a swallow as aspiration or non-aspiration. The results were compared with the FEES/VFSS assessments provided by the speech language pathologists. The results are encouraging: more than 86 % accuracy in detection of silent aspiration. While the proposed method should be verified on a larger dataset, the results are promising for the use of acoustical analysis as a clinical tool to detect silent aspiration.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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