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Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)
Abstract The home-based training approach benefits stroke survivors by providing them with an increased amount of training time and greater feasibility in terms of their training schedule, particularly for those with severe motor impairment. Computer
Externí odkaz:
https://doaj.org/article/3deee9ff3e9e4b808a6829280f603370
Autor:
Chengpeng Hu, Chun Hang Eden Ti, Kai Yuan, Cheng Chen, Ahsan Khan, Xiangqian Shi, Winnie Chiu-wing Chu, Raymond Kai-yu Tong
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-17 (2024)
Abstract Background Delivering HD-tDCS on individual motor hotspot with optimal electric fields could overcome challenges of stroke heterogeneity, potentially facilitating neural activation and improving motor function for stroke survivors. However,
Externí odkaz:
https://doaj.org/article/a91672f974e14b928c5a9efcffa0b234
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1-11 (2024)
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring the interhemispheric balance between motor networks. However, the underlying mechanisms of reorganization between interhemispheric regions remain unc
Externí odkaz:
https://doaj.org/article/4e3ff067d28e4d3b951ff5fe286da27a
Autor:
Ping Zhou, Raymond Kai-Yu Tong
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/9cefa6e255c34f0da02a47a061697589
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 3, Pp n/a-n/a (2024)
In this article, a novel approach is presented for drift‐aware feature learning aimed at calibrating drift biases in soft sensors for long‐term use. The proposed method leverages an autoencoder for data preprocessing to extract expressive signal
Externí odkaz:
https://doaj.org/article/8c017556d7964e36bd56df8b6dd4cb9f
Autor:
Allison Lee Ruiz
Publikováno v:
IEEE Transactions on Professional Communication. 63:275-276
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cb6da73c9fcbe3370842bcd0e2f8572
https://doi.org/10.1109/tpc.2020.3009712
https://doi.org/10.1109/tpc.2020.3009712
Publikováno v:
Entropy, Vol 26, Iss 7, p 538 (2024)
This study examines pedaling asymmetry using the electromyogram (EMG) complexity of six bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and twelve healthy participants joined passive and volitional recumbe
Externí odkaz:
https://doaj.org/article/795d61261f414cc5af00841d90b33503
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Hand rehabilitation in chronic stroke remains challenging, and finding markers that could reflect motor function would help to understand and evaluate the therapy and recovery. The present study explored whether brain oscillations in different electr
Externí odkaz:
https://doaj.org/article/60dfce8ace264df69c4558091e74ff4d
Autor:
Khan, Ahsan, Chun Hang Eden Ti, Kai Yuan, Garcia, Maite Crespo, Anderson, Michael C., Kai-Yu Tong, Raymond
Publikováno v:
Journal of Neuroscience; 9/11/2024, Vol. 44 Issue 37, p1-13, 13p