Zobrazeno 1 - 10
of 1 117
pro vyhledávání: '"Surface electromyogram"'
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Temporomandibular Disorders (TMD) is the dysfunction of group of muscles and bones in the joint area, the main symptoms of TMD are the pain of the chewing muscles and (or) the temporomandibular joints, mandibular movement disorder
Externí odkaz:
https://doaj.org/article/67ef042556444777aeb7fe40816cbe7b
Autor:
Muhammad Mukhlis Suhaimi, Aimi Shazwani Ghazali, Ahmad Jazlan Haja Mohideen, Muhammad Hariz Hafizalshah, Shahrul Na'im Sidek
Publikováno v:
International Islamic University Malaysia Engineering Journal, Vol 25, Iss 2 (2024)
The progression of prosthetic technology, enabling precise thumb control and movement, has reached a stage where noninvasive techniques for capturing bioelectrical signals from muscle activity are preferred over alternative methods. While electromyog
Externí odkaz:
https://doaj.org/article/b379fbd922cf463eb80b0dcabc89bd7e
Autor:
Sejin Kim, Wan Kyun Chung
Publikováno v:
IEEE Access, Vol 12, Pp 34342-34353 (2024)
Upper-limb position is one of the most critical factors that degrade sEMG-based motion recognition accuracy. Therefore, we propose an upper-limb position-robust motion recognition with unsupervised domain adaptation. The proposed method finds the fea
Externí odkaz:
https://doaj.org/article/afff1036aa584422a4e5320ad1d310a1
Autor:
Daigo Uchino, Ikkei Kobayashi, Jumpei Kuroda, Kazuki Ogawa, Keigo Ikeda, Taro Kato, Ayato Endo, Hideaki Kato, Takayoshi Narita
Publikováno v:
Vehicles, Vol 5, Iss 3, Pp 846-858 (2023)
As automated driving has not yet been established, on narrow roads where there is no separation between pedestrians and vehicles, it is essential to switch to manual driving. However, when the driver turns the steering wheel from one hand to another
Externí odkaz:
https://doaj.org/article/cbb4fdae839c40abba0019b88ff7c2b6
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Advancements in instrumentation support improved powered ankle prostheses hardware development. However, control algorithms have limitations regarding number and type of sensors utilized and achieving autonomous adaptation, which is key to a natural
Externí odkaz:
https://doaj.org/article/069094a9ec6b4fe8b1a81c351513f100
Publikováno v:
Sensors, Vol 24, Iss 3, p 734 (2024)
Gait analysis has been studied over the last few decades as the best way to objectively assess the technical outcome of a procedure designed to improve gait. The treating physician can understand the type of gait problem, gain insight into the etiolo
Externí odkaz:
https://doaj.org/article/67c3a79c5e6d44a28cb5fba43bfa349b
Autor:
Pan Yao, Kaifeng Wang, Weiwei Xia, Yusen Guo, Tiezhu Liu, Mengdi Han, Guangyang Gou, Chunxiu Liu, Ning Xue
Publikováno v:
Sensors, Vol 24, Iss 3, p 920 (2024)
Surface electromyogram (sEMG)-based gesture recognition has emerged as a promising avenue for developing intelligent prostheses for upper limb amputees. However, the temporal variations in sEMG have rendered recognition models less efficient than ant
Externí odkaz:
https://doaj.org/article/4e568d72e41840d6a9b243acda1f8c04
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Akademický článek
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Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1252-1260 (2022)
In order to reduce the gap between the laboratory environment and actual use in daily life of human-machine interaction based on surface electromyogram (sEMG) intent recognition, this paper presents a benchmark dataset of sEMG in non-ideal conditions
Externí odkaz:
https://doaj.org/article/d1d2cabbbcab4ff3b7797c4e58aca20c