Acoustical analysis of the swallowing mechanism for diagnosis of dysphagia
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Date
2014-05, 2012-12, 2012-08, 2011-01
Authors
Sarraf Shirazi, Samaneh
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Springer
Springer
IEEE
Springer
Springer
IEEE
Abstract
Swallowing dysfunction (dysphagia) is a common disorder in patients with neurological impairments, head/neck injuries or brain-stem stroke. The main objectives of this thesis were to use acoustical analysis of swallowing and breath sounds for 1) understanding the swallowing mechanism and the main cause of dysphagia, and 2) developing a noninvasive diagnostic technology to detect swallowing aspiration (the entry of bolus into airway); thus, identifying individuals at high risk of severe dysphagia.
As the first objective of the study, swallowing mechanism modeling in two groups of healthy individuals and dysphagic patients (due to cerebral palsy or stroke) was approached by using two different assumptions to relate the swallowing sounds either to the pharyngeal response or to the neural activities that initiate the swallow. The results showed that the model with the assumption of neural activities as the cause of dysphagia was a better fit to the available data.
As the second main objective of the study, we analyzed breathing and swallowing sounds of 50 dysphagic individuals during the fiberoptic endoscopic evaluation of swallowing (FEES) or the videofluoroscopic swallowing study (VFS). The results showed 91% sensitivity and 85% specificity in identifying patients with severe aspirations. Also, the algorithm was able to detect the silent aspiration among the swallows of each patient.
The proposed methods led to development of a non-invasive and reliable diagnostic/screening tool as an aid to the clinical examination of swallowing. The proposed acoustic method can be performed at the patients’ bedside to determine the appropriate further assessment or a dietetic treatment; thus, reducing the health care cost by prioritizing the patients’ referrals to the VFS/FEES tests.
Description
Keywords
swallowing, acoustical analysis, dysphagia
Citation
S. Sarraf Shirazi, A. H. Birjandi and Z. Moussavi, "Non-invasive and automatic diagnosis of patients at high risk of swallowing aspiration," Med. Biol. Eng and Comput., vol. 52, no. 5, pp. 459-465, 2014.
S. Sarraf Shirazi, J. F. Baril and Z. Moussavi, "Characteristics of the Swallowing Sounds Recorded in the Ear, Nose and on Trachea.," Med Biol Eng Comput., vol. 50, no. 8, pp. 885-890, 2012.
S. Sarraf Shirazi, C. Buchel, R. Daun, L. Lenton and Z. M. Moussavi, "Detection of swallows with silent aspiration using swallowing and breath sound analysis," Med. Biol. Eng and Comput, vol. 50, no. 12, pp. 1261-1268, 2012.
S. Sarraf-Shirazi and Z. Moussavi, "Acoustical Modeling of Swallowing Mechanism," IEEE Trans. Biomed. Eng., vol. 8, no. 1, pp. 81-87, 2011.
S. Sarraf Shirazi, J. F. Baril and Z. Moussavi, "Characteristics of the Swallowing Sounds Recorded in the Ear, Nose and on Trachea.," Med Biol Eng Comput., vol. 50, no. 8, pp. 885-890, 2012.
S. Sarraf Shirazi, C. Buchel, R. Daun, L. Lenton and Z. M. Moussavi, "Detection of swallows with silent aspiration using swallowing and breath sound analysis," Med. Biol. Eng and Comput, vol. 50, no. 12, pp. 1261-1268, 2012.
S. Sarraf-Shirazi and Z. Moussavi, "Acoustical Modeling of Swallowing Mechanism," IEEE Trans. Biomed. Eng., vol. 8, no. 1, pp. 81-87, 2011.