Automatic food intake detection based on swallowing sounds.
Automatic food intake detection based on swallowing sounds.
复制标题
基于吞咽声音的自动食物摄入检测。
DOI：
10.1016/j.bspc.2012.03.005
复制
发表时间：
2012
影响因子：
5.1
通讯作者：
Sazonov,Edward
中科院分区：
文献类型：
--
作者：
Makeyev,Oleksandr;Lopez-Meyer,Paulo;Schuckers,Stephanie;Besio,Walter;Sazonov,Edward
本文提出了一种新的全自动食物摄入量检测方法，对摄取行为的客观监测的重要一步。这种监测的目的是提高我们对与肥胖和饮食失调相关的饮食行为的理解。拟议的方法包括两个阶段。首先，基于梅尔尺度傅立叶谱特征和使用支持向量机的分类进行吞咽实例的声学检测。主成分分析和平滑算法用于提高吞咽检测的准确性。第二，吞咽的频率被用作检测食物摄入发作的预测因子。所提出的方法进行了测试，从12个不同程度的肥胖症的受试者收集的数据。在时间分辨率为30 s时，受试者内和受试者间模型的平均准确率分别为>80%和>75%。44.1小时的数据，共7305吞咽的结果表明，检测精度是相当的肥胖和瘦的主题。他们还提出了基于吞咽声音的食物摄入检测的可行性以及所提出的自动监测摄食行为的方法的潜力。基于可穿戴的非侵入式声传感器，所提出的方法可能会在自由生活条件下使用。
This paper presents a novel fully automatic food intake detection methodology, an important step toward objective monitoring of ingestive behavior. The aim of such monitoring is to improve our understanding of eating behaviors associated with obesity and eating disorders. The proposed methodology consists of two stages. First, acoustic detection of swallowing instances based on mel-scale Fourier spectrum features and classification using support vector machines is performed. Principal component analysis and a smoothing algorithm are used to improve swallowing detection accuracy. Second, the frequency of swallowing is used as a predictor for detection of food intake episodes. The proposed methodology was tested on data collected from 12 subjects with various degrees of adiposity. Average accuracies of >80% and >75% were obtained for intra-subject and inter-subject models correspondingly with a temporal resolution of 30s. Results obtained on 44.1h of data with a total of 7305 swallows show that detection accuracies are comparable for obese and lean subjects. They also suggest feasibility of food intake detection based on swallowing sounds and potential of the proposed methodology for automatic monitoring of ingestive behavior. Based on a wearable non-invasive acoustic sensor the proposed methodology may potentially be used in free-living conditions.