Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities

摘要: Dysphagia (swallowing difficulty) is a serious and debilitating condition that often accompanies stroke, acquired brain injury, neurodegenerative illnesses. Individuals with dysphagia are prone to aspiration (the entry of foreign material into the airway), which directly increases risk respiratory consequences such as pneumonia. Swallowing accelerometry promising noninvasive tool for detection evaluation swallowing. In this paper, dual-axis was implemented since motion hyolaryngeal complex occurs in both anterior-posterior superior-inferior directions during Dual-axis cervical signals were from 408 healthy subjects dry, wet, wet chin tuck swallowing tasks. The proposed segmentation algorithm based on idea sequential fuzzy partitioning signal well suited long nonstationary variance. validated simulated known locations subset 295 real swallows manually segmented by an experienced speech language pathologist. cases, extracted individual over 90% accuracy. time duration analysis carried out respect gender, body mass index (BMI), age. Demographic anthropometric variables influenced these signals. Male participants exhibited longer than female (p=0.05). Older higher BMIs significantly (p=0.05) younger those lower BMIs, respectively.