TY - GEN
T1 - Wireless and wearable monitoring device for dysphagia evaluation
AU - Chou, Willy
AU - Ou, Chien Zhi
AU - Lin, Bor-Shyh
AU - Ko, Mei Ju
AU - Hu, Shao Pu
AU - Ting, Yu Min
AU - Cheng, Ming Hui
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/21
Y1 - 2015/10/21
N2 - Dysphagia is a common complication of strokes, and the patients usually have clinical problems such as malnutrition, significant weight loss, and aspiration pneumonia. Measuring the muscle activity pattern to describe physiology of swallowing behavior by surface electromyography (sEMG) is a simple, non-radioactive, and non-invasive method. Most of previous studies described the swallowing behavior by the terms of amplitude and duration. However, there is no objective and precise approach to evaluate swallowing coordination. For more precisely evaluate swallowing coordination of dysphagia, a wireless and wearable monitoring device was designed to measure four muscle groups simultaneously under swallowing. In this study, the algorithm of bilateral muscle pattern detecting was also developed to extract and analysis the difference swallowing feature of sEMG patterns. The experimental result shows that the amplitude and latency variation for dysphagic patients are significantly larger than those for healthy subjects under different swallowing conditions.
AB - Dysphagia is a common complication of strokes, and the patients usually have clinical problems such as malnutrition, significant weight loss, and aspiration pneumonia. Measuring the muscle activity pattern to describe physiology of swallowing behavior by surface electromyography (sEMG) is a simple, non-radioactive, and non-invasive method. Most of previous studies described the swallowing behavior by the terms of amplitude and duration. However, there is no objective and precise approach to evaluate swallowing coordination. For more precisely evaluate swallowing coordination of dysphagia, a wireless and wearable monitoring device was designed to measure four muscle groups simultaneously under swallowing. In this study, the algorithm of bilateral muscle pattern detecting was also developed to extract and analysis the difference swallowing feature of sEMG patterns. The experimental result shows that the amplitude and latency variation for dysphagic patients are significantly larger than those for healthy subjects under different swallowing conditions.
KW - Dysphagia
KW - algorithm of bilateral muscle
KW - surface electromyography
KW - wireless and wearable monitoring device
UR - http://www.scopus.com/inward/record.url?scp=84959264895&partnerID=8YFLogxK
U2 - 10.1109/IMWS-BIO.2015.7303835
DO - 10.1109/IMWS-BIO.2015.7303835
M3 - Conference contribution
AN - SCOPUS:84959264895
T3 - 2015 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015 - Proceedings
SP - 174
EP - 177
BT - 2015 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015
Y2 - 21 September 2015 through 23 September 2015
ER -
