A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals - Dudik, Joshua M.; Kurosu, Atsuko; Coyle, James L.; Sejdić, Ervin (Computers in biology and medicine, 2015)
Keywords: Accelerometry - methods; Accuracy; Algorithms; Auscultation - methods; Biomechanics; Cervical auscultation; Cluster Analysis; Deglutition - physiology; Deglutition Disorders - physiopathology; Dysphagia; Humans; Internal Medicine; Kinematics; Methods; Monitoring, Physiologic - methods; Neck - physiology; Novelty detection; Other; Patients; Physiology; Segmentation; Signal Processing, Computer-Assisted; Studies; Swallowing accelerometry; Swallowing accelerometry; Dysphagia; Segmentation; Cervical auscultation; Novelty detection