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Wearable Band-Shaped Device and Detection Algorithm for Laryngeal Elevation in Mendelsohn Maneuver

Nakamoto, Hiroyuki Katsuno, Yuki Yamamoto, Akio Umehara, Ken Bessho, Yusuke Kobayashi, Futoshi Ishikawa, Akira 神戸大学

2021.07.01

概要

Aspiration pneumonia is a serious condition in the elderly. To strengthen the muscles required for swallowing, patients can train using the Mendelsohn maneuver, wherein they maintain their larynx at the top of the laryngeal elevation during swallowing. This study describes a wearable device to detect the onset and offset times of the laryngeal elevation for a biofeedback system to support this training. The biofeedback system consists of a band-shaped device with stretchable strain sensors. The strain sensors measure the change of circumferential length of the neck. An algorithm detects the onset and offset times of the laryngeal elevation based on the absolute first-order difference of the measured data and distance between the measured data and template data by pattern matching. The algorithm detected the onset and offset times of 53 out of 54 data sets from elderly participants. Cluster analysis separated the data into two groups. For both groups, the mean absolute error of the interval time was within 1 s when compared with the time recorded by a speech-language-hearing therapist. We believe that this biofeedback system for the Mendelsohn maneuver tolerates the 1 s delay. The wearable device is soft, lightweight, and easy for a patient to use alone. The efficacy of the device for the strengthening of muscles must be verified in a clinical study.

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Hiroyuki Nakamoto (M’14) received the B.S. and

M.S. degrees and the Ph.D. degree in engineering

from Kobe University, Japan, in 1997, 1999, and

2009, respectively. In 1999, he was a Researcher

with the Hyogo Prefectural Institute of Technology.

In 2008, he was a Chief Researcher with the

Hyogo Prefectural Institute of Technology. In 2011,

he was an Assistant Professor with the Graduate

School of System Informatics, Kobe University.

Since 2016, he has been an Associate Professor

with the Graduate School of System Informatics,

Kobe University. His research interests include tactile sensors,

stretchable sensors, and wearable devices.

Yuki Katsuno received the B.S. and M.S.

degrees from Kobe University, Japan, in 2018,

2020, respectively. His research interests include

stretchable sensors and wearable devices.

Akio Yamamoto received his Ph.D. degree from

Tokyo University. He is a public health nurse and

was an assistant professor at the Graduate

School of health sciences, Kobe University.

Since 2019, he has been an assistant professor

at Osaka Medical College. His research interests

are biomechanics and public health nursing.

Ken Umehara received the M.S. degrees in

health science from Kobe University in 2018. He

is a speech-language-hearing therapist at Mie

Chuo Medical Center and is also a Ph.D. student

at Kobe University. His research interest is

disphagia rehabilitation.

Yusuke Bessho is an employee at the New

Business Promotion Center of Bando Chemical

Industries Ltd. He received his M.S. degree from

Kobe University.

Futoshi Kobayashi (M,00) received the D.Eng.

degree from Nagoya University in 1999. He was

a Research Associate with Nagoya University in

1999, and a Research Associate with the

Graduate School of Science and Technology,

Kobe University, from 2000 to 2005. In 2005, he

was an Associate Professor with Kobe

University, where he is currently an Associate

Professor with the Graduate School of System

Informatics. His research interests include

sensor fusion and multifingered robotic hand.

Akira Ishikawa is a professor at the Graduate

School of Health Sciences, Kobe University. He

received his Ph.D. degree from Nihon University.

His research interest is physiotherapy,

especially pulmonary rehabilitation.

...

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