Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior.
Automatic detection of swallowing events by acoustical means for applications of monitoring of ingestive behavior.
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DOI：
10.1109/tbme.2009.2033037
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发表时间：
2010-03
期刊：
影响因子：
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通讯作者：
Neuman MR
中科院分区：
文献类型：
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作者：
Sazonov ES;Makeyev O;Schuckers S;Lopez-Meyer P;Melanson EL;Neuman MR
由于缺乏客观、准确的方法对自由生活人群的摄食行为进行监测，我们对肥胖和超重的病因学的理解是不完整的。我们的研究表明，吞咽的频率可以作为检测食物摄入，区分液体和固体，估计摄入量的预测。本文提出并比较了两种方法的声学吞咽检测的声音污染的运动伪影，语音和外部噪声。研究了基于Mel尺度傅立叶谱、小波包和支持向量机的方法，考虑了历元大小、分解水平和滞后对分类精度的影响。该方法在从20名患有不同程度肥胖的人类受试者收集的大型数据集（64.5小时，共9，966次吞咽）上进行了测试。访视内个体模型的平均加权时期识别准确度为96.8%，这导致吞咽事件检测的平均加权准确度为84.7%。这些结果表明所提出的方法在将吞咽声音与源自呼吸、固有语音、头部运动、食物摄取和环境噪声的伪影分离方面的高效率。识别准确率与体重指数无关，表明该方法适用于肥胖者。
Our understanding of etiology of obesity and overweight is incomplete due to lack of objective and accurate methods for Monitoring of Ingestive Behavior (MIB) in the free living population. Our research has shown that frequency of swallowing may serve as a predictor for detecting food intake, differentiating liquids and solids, and estimating ingested mass. This paper proposes and compares two methods of acoustical swallowing detection from sounds contaminated by motion artifacts, speech and external noise. Methods based on mel-scale Fourier spectrum, wavelet packets, and support vector machines are studied considering the effects of epoch size, level of decomposition and lagging on classification accuracy. The methodology was tested on a large dataset (64.5 hours with a total of 9,966 swallows) collected from 20 human subjects with various degrees of adiposity. Average weighted epoch recognition accuracy for intra-visit individual models was 96.8% which resulted in 84.7% average weighted accuracy in detection of swallowing events. These results suggest high efficiency of the proposed methodology in separation of swallowing sounds from artifacts that originate from respiration, intrinsic speech, head movements, food ingestion, and ambient noise. The recognition accuracy was not related to body mass index, suggesting that the methodology is suitable for obese individuals.