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 …

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 …

The goal of this study was to develop an automated and objective method to separate
swallowing sounds from breath sounds. Swallowing sound detection can be utilized as part …

This paper proposes a noninvasive, acoustic-based method to differentiate between
individuals with and without dysphagia or swallowing dysfunction. Swallowing sound …

Dysphagia is a condition that happens when a person cannot smoothly swallow food from
the mouth to the stomach. It causes malnourishment in patients, or can even cause death …

A methodology of studying of ingestive behavior by non-invasive monitoring of swallowing
(deglutition) and chewing (mastication) has been developed. The target application for the …

Wearable systems play an important role in continuous health monitoring and can contribute
to early detection of abnormal events. The ability to automatically detect swallowing in real …

Swallowing disorders, especially dysphagia, might lead to malnutrition and dehydration and
could potentially lead to fatal aspiration. Benchmark swallowing assessments, such as …

Dysphagia (swallowing difficulty) is a serious and debilitating condition that often
accompanies stroke, acquired brain injury, and neurodegenerative illnesses. Individuals …

Background: Cervical auscultation with high resolution sensors is currently under
consideration as a method of automatically screening for specific swallowing abnormalities …