High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem.

High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem. Am J Speech Lang Pathol. 2020 Jul 10;29(2S):992-1000 Authors: Coyle JL, Sejdić E Abstract High-resolution cervical auscultation (HRCA) is an evolving clinical method for noninvasive screening of dysphagia that relies on data science, machine learning, and wearable sensors to investigate the characteristics of disordered swallowing function in people with dysphagia. HRCA has shown promising results in categorizing normal and disordered swallowing (i.e., screening) independent of human input, identifying a variety of swallowing physiological events as accurately as trained human judges. The system has been developed through a collaboration of data scientists, computer-electrical engineers, and speech-language pathologists. Its potential to automate dysphagia screening and contribute to evaluation lies in its noninvasive nature (wearable electronic sensors) and its growing ability to accurately replicate human judgments of swallowing data typically formed on the basis of videofluoroscopic imaging data. Potential contributions of HRCA when videofluoroscopic swallowing study may be unavailable, undesired, or not feasible for many patients in various settings are discussed, along with the development and capabilities of HRCA. The use of technological advances and wearable devices can extend the dysphagia clinician's reach and reinforce top-of-lice...
Source: American Journal of Speech-Language Pathology - Category: Speech-Language Pathology Authors: Tags: Am J Speech Lang Pathol Source Type: research