Swallow Detection with Acoustics and Accelerometric-Based Wearable Technology: A Scoping Review

Bryan Pak-Hei So, Tim Tin-Chun Chan, Liangchao Liu, Calvin Chi-Kong Yip, Hyo-Jung Lim, Wing-Kai Lam, Duo Wai-Chi Wong (), Daphne Sze Ki Cheung () and James Chung-Wai Cheung ()
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Bryan Pak-Hei So: Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong
Tim Tin-Chun Chan: Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong
Liangchao Liu: Physical Education Department, University of International Business and Economics, Beijing 100029, China
Calvin Chi-Kong Yip: School of Medical and Health Sciences, Tung Wah College, Hong Kong
Hyo-Jung Lim: Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong
Wing-Kai Lam: Sports Information and External Affairs Centre, Hong Kong Sports Institute, Hong Kong
Duo Wai-Chi Wong: Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong
Daphne Sze Ki Cheung: School of Nursing, The Hong Kong Polytechnic University, Hong Kong
James Chung-Wai Cheung: Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong

IJERPH, 2022, vol. 20, issue 1, 1-14

Abstract: Swallowing disorders, especially dysphagia, might lead to malnutrition and dehydration and could potentially lead to fatal aspiration. Benchmark swallowing assessments, such as videofluoroscopy or endoscopy, are expensive and invasive. Wearable technologies using acoustics and accelerometric sensors could offer opportunities for accessible and home-based long-term assessment. Identifying valid swallow events is the first step before enabling the technology for clinical applications. The objective of this review is to summarize the evidence of using acoustics-based and accelerometric-based wearable technology for swallow detection, in addition to their configurations, modeling, and assessment protocols. Two authors independently searched electronic databases, including PubMed, Web of Science, and CINAHL. Eleven ( n = 11) articles were eligible for review. In addition to swallowing events, non-swallowing events were also recognized by dry (saliva) swallowing, reading, yawning, etc., while some attempted to classify the types of swallowed foods. Only about half of the studies reported that the device attained an accuracy level of >90%, while a few studies reported poor performance with an accuracy of <60%. The reviewed articles were at high risk of bias because of the small sample size and imbalanced class size problem. There was high heterogeneity in assessment protocol that calls for standardization for swallowing, dry-swallowing and non-swallowing tasks. There is a need to improve the current wearable technology and the credibility of relevant research for accurate swallowing detection before translating into clinical screening for dysphagia and other swallowing disorders.

Keywords: dysphagia; deglutition disorder; eating disorder; otorhinolaryngology; mHealth (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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