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
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DOI：
10.1044/2020_ajslp-19-00155
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发表时间：
2020-07-01
影响因子：
2.6
通讯作者：
Sejdic, Ervin
中科院分区：
文献类型：
--
作者：
Coyle, James L.;Sejdic, Ervin
高分辨率颈部听诊（HRCA）是一种不断发展的吞咽困难无创筛查临床方法，它依赖于数据科学、机器学习和可穿戴传感器来研究吞咽困难患者吞咽功能障碍的特征。HRCA在分类正常和吞咽障碍（即，筛选）独立于人的输入，识别各种吞咽生理事件，与受过训练的人类判断者一样准确。该系统是通过数据科学家、计算机电气工程师和语音语言病理学家的合作开发的。其自动化吞咽困难筛查并有助于评估的潜力在于其非侵入性（可穿戴电子传感器）以及其准确复制人类对吞咽数据的判断的能力不断增强，这些吞咽数据通常是基于视频透视成像数据形成的。沿着HRCA的发展和功能，讨论了在各种环境下，当视频荧光透视吞咽研究不可用、不受欢迎或对许多患者不可行时，HRCA的潜在贡献。技术进步和可穿戴设备的使用可以扩展吞咽困难临床医生的范围，并加强吞咽障碍患者的最高许可实践。
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-license practice for patients with swallowing disorders.