An analysis of stimulation methods used in rehabilitation equipment for children with cerebral palsy.

artificial intelligence cerebral palsy rehabilitation equipment review stimulation mode

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2024
Historique:
received: 16 01 2024
accepted: 31 05 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: epublish

Résumé

This paper summarizes the research progress into stimulation methods used in rehabilitation equipment for pediatric cerebral palsy (CP) for the past 20 years from 2003 to 2023. We also provide ideas for innovative research and development of artificial intelligence-based rehabilitation equipment. Through a certain search strategy, Keywords are searched in the China National Knowledge Network Database (CNKI), the Wanfang Database knowledge service platform, the Chongqing VIP information service, PubMed, Web of Science, Cochrane, ScienceDirect, Medline, Embase, and IEEE database. A total of 3,049 relevant articles were retrieved, and 49 articles were included that mentioned research and development of rehabilitation equipment. We excluded articles that were not specific to children with CP, were duplicated or irrelevant literature, were missing data, the full article was not available, the article did not describe the method of stimulation used with the rehabilitation equipment on children with CP, were not Chinese and English, and were the types of reviews and commentaries. Physical stimulation is the main stimulation method of rehabilitation equipment for children with CP. Force stimulation is the main mode of physical stimulation, and there are 17 articles that have verified the clinical efficacy of force stimulation-based equipment. Research on the stimulation mode of pediatric cerebral palsy rehabilitation equipment is likely to focus on simulating the force of the Chinese medicine called "tuina manipulation." When this method is combined with artificial intelligence and personalized direction we believe this will lay the foundation for future development of a novel therapy for children with CP.

Identifiants

pubmed: 38966084
doi: 10.3389/fneur.2024.1371332
pmc: PMC11223519
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1371332

Informations de copyright

Copyright © 2024 Guo, Cun, Xia, Chen, Zhang, Chen, Shan, Zhang and Tai.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Cunxiao Guo (C)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Yongdan Cun (Y)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Yunnan College of Business Management, Kunming, China.

Bo Xia (B)

Master of Science in Computer Science, Sofia University, Palo Alto, CA, United States.

Suyu Chen (S)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Can Zhang (C)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Yiping Chen (Y)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Exian Shan (E)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Pengyue Zhang (P)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Xiantao Tai (X)

Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Key Laboratory of Acupuncture and Massage for Treatment of Encephalopathy, College of Acupuncture and Tuina Rehabilitation, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.

Classifications MeSH