Swallowing Pattern Classification Method Using Multichannel Surface EMG Signals of Suprahyoid and Infrahyoid Muscles

Author:

Suzuki Masahiro1,Sasaki Makoto1,Kamata Katsuhiro1,Nakayama Atsushi2,Shibamoto Isamu3,Tamada Yasushi4

Affiliation:

1. Graduate School of Science and Engineering, Iwate University

2. Department of Engineering for Future Innovation, National Institute of Technology, Ichinoseki College

3. Graduate School of Rehabilitation Sciences, Seirei Christopher University

4. School of Dentistry, Iwate Medical University

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Reference30 articles.

1. 1. Logemann JA: Evaluation and treatment of swallowing disorders, 2nd ed. Pro-Ed, Austin, 1998.

2. 2. Dodds WJ, Man KM, Cook IJ, Kahrilas PJ, Stewart ET, Kern MK: Influence of bolus volume on swallow-induced hyoid movement in normal subjects. AJR Am J Roentgenol. 150(6), pp. 1307–1309, 1988.

3. 3. Cook IJ, Dodds WJ, Dantas RO, Kern MK, Massey BT, Shaker R, Hogan WJ: Timing of videofluoroscopic, manometric events, and bolus transit during the oral and pharyngeal phases of swallowing. Dysphagia. 4(1), pp. 8–15, 1989.

4. 4. Jacob P, Kahrilas PJ, Logemann JA, Shah V, Ha T: Upper esophageal sphincter opening and modulation during swallowing. Gastroenterology. 97(6), pp. 1469–1478, 1989.

5. 5. Leonard RJ, Kendall KA, McKenzie S, Gonçalves MI, Walker A: Structural displacements in normal swallowing: a videofluoroscopic study. Dysphagia. 15(3), pp. 146–152, 2000.

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