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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 12; pp. 1261 - 1269 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104392518&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104392518 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2012 vid: 50 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104392518 NLM23065649 2011789319 10.1007/s11517-012-0958-9 NLM23065649 104392518 ppf: 1261 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Detection of swallows with silent aspiration using swallowing and breath sound analysis. aug: au: 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 refInfo: holdings: @attributes: islocal: N |
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