Zobrazeno 1 - 10
of 287
pro vyhledávání: '"rehabilitation assessment"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-12 (2024)
Abstract Background The loss of gait automaticity is a key cause of motor deficits in Parkinson’s disease (PD) patients, even at the early stage of the disease. Action observation training (AOT) shows promise in enhancing gait automaticity. However
Externí odkaz:
https://doaj.org/article/3cc3067072d9498d83748d194197e09f
Autor:
Wen Liu, Jinzhu Bai
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-14 (2024)
Abstract Objective To avoid deviation caused by the traditional scale method, the present study explored the accuracy, advantages, and disadvantages of different objective detection methods in evaluating lower extremity motor function in elderly indi
Externí odkaz:
https://doaj.org/article/31a1bb82e3614c2ea42831bd84f8d68e
Autor:
Rao H
Publikováno v:
Orthopedic Research and Reviews, Vol Volume 16, Pp 271-272 (2024)
Hao Rao Hubei University of Chinese Medicine, Wuhan, Hubei, People’s Republic of ChinaCorrespondence: Hao Rao, Email 3290656729@qq.com
Externí odkaz:
https://doaj.org/article/d393ba2a258f43a39e7918a876b9a33e
Autor:
Jia Jie, ², Chen Xin³, He Jing⁴, Dong Anqin⁵, Ding Yipeng⁶, Liao Weijing⁷, Zheng Jiejao⁸, Yu Binbin⁹, Chen Zuobing ⁰, Fang Yuan, Yao Liqing ², Zhu Yiping ³
Publikováno v:
康复学报, Pp 1-12 (2024)
Elderly lung cancer is the leading cause of cancer-related deaths worldwide, posing significant challenges to public health. This consensus systematically reviews relevant clinical guidelines and literature both domestically and internationally, inte
Externí odkaz:
https://doaj.org/article/b4a3b678403a459cadd1b0c322a40663
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1916-1925 (2024)
Physical therapists play a crucial role in guiding patients through effective and safe rehabilitation processes according to medical guidelines. However, due to the therapist-patient imbalance, it is neither economical nor feasible for therapists to
Externí odkaz:
https://doaj.org/article/afef65be96dd4bfa84f0bc3461388fb0
Publikováno v:
康复学报, Vol 33, Pp 436-441 (2023)
ObjectiveTo analyze the gait characteristics of patients with different severity of knee osteoarthritis and the differences in the peak pressure points in different subdivisions of the foot to provide a basis for the clinical diagnosis, treatment and
Externí odkaz:
https://doaj.org/article/b3fdae077dd74688a5d47adeaea38329
Publikováno v:
Sensors, Vol 24, Iss 13, p 4273 (2024)
This study aims to integrate a convolutional neural network (CNN) and the Random Forest Model into a rehabilitation assessment device to provide a comprehensive gait analysis in the evaluation of movement disorders to help physicians evaluate rehabil
Externí odkaz:
https://doaj.org/article/9af4fdaea0dc4707a1b159c22055a52b
Autor:
YUE Shouwei
Publikováno v:
康复学报, Vol 33, Pp 287-294 (2023)
Low back pain (LBP) is a kind of clinical syndrome characterized by complex etiology, lifetime prevalence, the long course of disease and easy recurrence. If not treated in time, it will affect the quality of patient life and increase the social econ
Externí odkaz:
https://doaj.org/article/dfdbc39e22fb43c29b0a0a899bcaba6c
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
The clinical rehabilitation assessment methods for hemiplegic upper limb motor function are often subjective, time-consuming, and non-uniform. This study proposes an automatic rehabilitation assessment method for upper limb motor function based on po
Externí odkaz:
https://doaj.org/article/debfe36e3cfd484d94e2f85659fa79cf
Autor:
Rui Hu, Yanan Diao, Yingchi Wang, Gaoqiang Li, Rong He, Yunkun Ning, Nan Lou, Guanglin Li, Guoru Zhao
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)
Markerless pose estimation based on computer vision provides a simpler and cheaper alternative to human motion capture, with great potential for clinical diagnosis and remote rehabilitation assessment. Currently, the markerless 3D pose estimation is
Externí odkaz:
https://doaj.org/article/6675930869894dcc92fba5527c28ff6b