Research on Tongue Muscle Strength Measurement and Recovery System

Xiaotian Pan; Ling Kang; Qia Zhang; Hang Liu; Jin Ai; Jianxiong Zou; Donghong Qiao; Menghan Hu; Yue Wu; Jian Zhang

doi:10.1007/978-981-99-9119-8_47

Research on Tongue Muscle Strength Measurement and Recovery System

Xiaotian Pan
, Ling Kang
, Qia Zhang
, Hang Liu
, Jin Ai
, Jianxiong Zou
, Donghong Qiao
, Menghan Hu
, Yue Wu
, Jian Zhang^*

^*Corresponding author for this work

School of Communication and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems with speech accuracy and difficulty communicating, which greatly affect their daily life. The correction and treatment of patients with Dysphagia have become a hot topic in current research. Clinically, tongue pressure (TP) is used as an indicator to evaluate the function of the tongue muscle, thus reflect the status of Dysphagia. In this paper, we designed and produced a sensor that can accurately measure tongue pressure and developed corresponding hardware and software systems. Based on physiotherapy, we have developed a WeChat mini-program that not only visually displays muscle strength values, but also includes rehabilitation games. Users can use tongue muscle compression sensor to complete game tasks that increase the motivation of users to perform physiotherapeutic exercises and improve rehabilitation effectiveness.The demo video of the proposed system is available at: https://figshare.com/articles/media/sensor_demo_show_mp4/23578689

Original language	English
Title of host publication	Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers
Editors	Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	526-531
Number of pages	6
ISBN (Print)	9789819991181
DOIs	https://doi.org/10.1007/978-981-99-9119-8_47
State	Published - 2024
Event	3rd CAAI International Conference on Artificial Intelligence, CICAI 2023 - Fuzhou, China Duration: 22 Jul 2023 → 23 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14474 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd CAAI International Conference on Artificial Intelligence, CICAI 2023
Country/Territory	China
City	Fuzhou
Period	22/07/23 → 23/07/23

Keywords

Dysphagia
Micro Air Bags
Pressure Sensor
Rehabilitative Training Game

Access to Document

10.1007/978-981-99-9119-8_47

Cite this

Pan, X., Kang, L., Zhang, Q., Liu, H., Ai, J., Zou, J., Qiao, D., Hu, M., Wu, Y., & Zhang, J. (2024). Research on Tongue Muscle Strength Measurement and Recovery System. In L. Fang, J. Pei, G. Zhai, & R. Wang (Eds.), Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers (pp. 526-531). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14474 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-9119-8_47

Pan, Xiaotian ; Kang, Ling ; Zhang, Qia et al. / Research on Tongue Muscle Strength Measurement and Recovery System. Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers. editor / Lu Fang ; Jian Pei ; Guangtao Zhai ; Ruiping Wang. Springer Science and Business Media Deutschland GmbH, 2024. pp. 526-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{51d86a3c77c74e0e8fb794dac7497ba7,

title = "Research on Tongue Muscle Strength Measurement and Recovery System",

abstract = "Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems with speech accuracy and difficulty communicating, which greatly affect their daily life. The correction and treatment of patients with Dysphagia have become a hot topic in current research. Clinically, tongue pressure (TP) is used as an indicator to evaluate the function of the tongue muscle, thus reflect the status of Dysphagia. In this paper, we designed and produced a sensor that can accurately measure tongue pressure and developed corresponding hardware and software systems. Based on physiotherapy, we have developed a WeChat mini-program that not only visually displays muscle strength values, but also includes rehabilitation games. Users can use tongue muscle compression sensor to complete game tasks that increase the motivation of users to perform physiotherapeutic exercises and improve rehabilitation effectiveness.The demo video of the proposed system is available at: https://figshare.com/articles/media/sensor\_demo\_show\_mp4/23578689",

keywords = "Dysphagia, Micro Air Bags, Pressure Sensor, Rehabilitative Training Game",

author = "Xiaotian Pan and Ling Kang and Qia Zhang and Hang Liu and Jin Ai and Jianxiong Zou and Donghong Qiao and Menghan Hu and Yue Wu and Jian Zhang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 3rd CAAI International Conference on Artificial Intelligence, CICAI 2023 ; Conference date: 22-07-2023 Through 23-07-2023",

year = "2024",

doi = "10.1007/978-981-99-9119-8\_47",

language = "英语",

isbn = "9789819991181",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "526--531",

editor = "Lu Fang and Jian Pei and Guangtao Zhai and Ruiping Wang",

booktitle = "Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers",

address = "德国",

}

Pan, X, Kang, L, Zhang, Q, Liu, H, Ai, J, Zou, J, Qiao, D, Hu, M, Wu, Y & Zhang, J 2024, Research on Tongue Muscle Strength Measurement and Recovery System. in L Fang, J Pei, G Zhai & R Wang (eds), Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14474 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 526-531, 3rd CAAI International Conference on Artificial Intelligence, CICAI 2023, Fuzhou, China, 22/07/23. https://doi.org/10.1007/978-981-99-9119-8_47

Research on Tongue Muscle Strength Measurement and Recovery System. / Pan, Xiaotian; Kang, Ling; Zhang, Qia et al.
Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers. ed. / Lu Fang; Jian Pei; Guangtao Zhai; Ruiping Wang. Springer Science and Business Media Deutschland GmbH, 2024. p. 526-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14474 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Tongue Muscle Strength Measurement and Recovery System

AU - Pan, Xiaotian

AU - Kang, Ling

AU - Zhang, Qia

AU - Liu, Hang

AU - Ai, Jin

AU - Zou, Jianxiong

AU - Qiao, Donghong

AU - Hu, Menghan

AU - Wu, Yue

AU - Zhang, Jian

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems with speech accuracy and difficulty communicating, which greatly affect their daily life. The correction and treatment of patients with Dysphagia have become a hot topic in current research. Clinically, tongue pressure (TP) is used as an indicator to evaluate the function of the tongue muscle, thus reflect the status of Dysphagia. In this paper, we designed and produced a sensor that can accurately measure tongue pressure and developed corresponding hardware and software systems. Based on physiotherapy, we have developed a WeChat mini-program that not only visually displays muscle strength values, but also includes rehabilitation games. Users can use tongue muscle compression sensor to complete game tasks that increase the motivation of users to perform physiotherapeutic exercises and improve rehabilitation effectiveness.The demo video of the proposed system is available at: https://figshare.com/articles/media/sensor_demo_show_mp4/23578689

AB - Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems with speech accuracy and difficulty communicating, which greatly affect their daily life. The correction and treatment of patients with Dysphagia have become a hot topic in current research. Clinically, tongue pressure (TP) is used as an indicator to evaluate the function of the tongue muscle, thus reflect the status of Dysphagia. In this paper, we designed and produced a sensor that can accurately measure tongue pressure and developed corresponding hardware and software systems. Based on physiotherapy, we have developed a WeChat mini-program that not only visually displays muscle strength values, but also includes rehabilitation games. Users can use tongue muscle compression sensor to complete game tasks that increase the motivation of users to perform physiotherapeutic exercises and improve rehabilitation effectiveness.The demo video of the proposed system is available at: https://figshare.com/articles/media/sensor_demo_show_mp4/23578689

KW - Dysphagia

KW - Micro Air Bags

KW - Pressure Sensor

KW - Rehabilitative Training Game

UR - https://www.scopus.com/pages/publications/85185704823

U2 - 10.1007/978-981-99-9119-8_47

DO - 10.1007/978-981-99-9119-8_47

M3 - 会议稿件

AN - SCOPUS:85185704823

SN - 9789819991181

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 526

EP - 531

BT - Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers

A2 - Fang, Lu

A2 - Pei, Jian

A2 - Zhai, Guangtao

A2 - Wang, Ruiping

PB - Springer Science and Business Media Deutschland GmbH

T2 - 3rd CAAI International Conference on Artificial Intelligence, CICAI 2023

Y2 - 22 July 2023 through 23 July 2023

ER -

Pan X, Kang L, Zhang Q, Liu H, Ai J, Zou J et al. Research on Tongue Muscle Strength Measurement and Recovery System. In Fang L, Pei J, Zhai G, Wang R, editors, Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 526-531. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-99-9119-8_47

Research on Tongue Muscle Strength Measurement and Recovery System

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Keywords

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