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A comparative analysis of swallowing accelerometry and sounds during saliva swallows

吞咽 威尔科克森符号秩检验 听力学 分割 加速度计 听诊 语音识别 模式识别(心理学) 统计 计算机科学 医学 人工智能 数学 牙科 放射科 曼惠特尼U检验 操作系统
作者
Joshua M. Dudik,Iva Jestrović,Bo Luan,James L. Coyle,Ervin Sejdić
出处
期刊:Biomedical Engineering Online [BioMed Central]
卷期号:14 (1) 被引量:67
标识
DOI:10.1186/1475-925x-14-3
摘要

Accelerometry (the measurement of vibrations) and auscultation (the measurement of sounds) are both non-invasive techniques that have been explored for their potential to detect abnormalities in swallowing. The differences between these techniques and the information they capture about swallowing have not previously been explored in a direct comparison. In this study, we investigated the differences between dual-axis swallowing accelerometry and swallowing sounds by recording data from adult participants and calculating a number of time and frequency domain features. During the experiment, 55 participants (ages 18-65) were asked to complete five saliva swallows in a neutral head position. The resulting data was processed using previously designed techniques including wavelet denoising, spline filtering, and fuzzy means segmentation. The pre-processed signals were then used to calculate 9 time, frequency, and time-frequency domain features for each independent signal. Wilcoxon signed-rank and Wilcoxon rank-sum tests were utilized to compare feature values across transducers and patient demographics, respectively. In addition to finding a number of features that varied between male and female participants, our statistical analysis determined that the majority of our chosen features were statistically significantly different across the two sensor methods and that the dependence on within-subject factors varied with the transducer type. However, a regression analysis showed that age accounted for an insignificant amount of variation in our signals. We conclude that swallowing accelerometry and swallowing sounds provide different information about deglutition despite utilizing similar transduction methods. This contradicts past assumptions in the field and necessitates the development of separate analysis and processing techniques for swallowing sounds and vibrations.
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