425 related articles for article (PubMed ID: 27322596)
21. A Home-Based Bilateral Rehabilitation System With sEMG-based Real-Time Variable Stiffness.
Liu Y; Guo S; Yang Z; Hirata H; Tamiya T
IEEE J Biomed Health Inform; 2021 May; 25(5):1529-1541. PubMed ID: 32991291
[TBL] [Abstract][Full Text] [Related]
22. A membership-function-based broad learning system for human-robot interaction force estimation under drawing task.
Tang B; Li R; Luo J; Pang M; Xiang K
Med Biol Eng Comput; 2023 Aug; 61(8):1975-1992. PubMed ID: 37269470
[TBL] [Abstract][Full Text] [Related]
23. Robotic assessment of neuromuscular characteristics using musculoskeletal models: A pilot study.
Jayaneththi VR; Viloria J; Wiedemann LG; Jarrett C; McDaid AJ
Comput Biol Med; 2017 Jul; 86():82-89. PubMed ID: 28511122
[TBL] [Abstract][Full Text] [Related]
24. A real-time stable-control gait switching strategy for lower-limb rehabilitation exoskeleton.
Guo Z; Wang C; Song C
PLoS One; 2020; 15(8):e0238247. PubMed ID: 32853239
[TBL] [Abstract][Full Text] [Related]
25. sEMG-Based Motion Recognition of Upper Limb Rehabilitation Using the Improved Yolo-v4 Algorithm.
Bu D; Guo S; Li H
Life (Basel); 2022 Jan; 12(1):. PubMed ID: 35054457
[TBL] [Abstract][Full Text] [Related]
26. Single-Channel sEMG-Based Estimation of Knee Joint Angle Using a Decomposition Algorithm With a State-Space Model.
Zhang S; Yu N; Guo Z; Huo W; Han J
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4703-4712. PubMed ID: 38015663
[TBL] [Abstract][Full Text] [Related]
27. EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot.
Feleke AG; Bi L; Fei W
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33673141
[TBL] [Abstract][Full Text] [Related]
28. Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation.
Song Z; Zhang S
Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27775573
[TBL] [Abstract][Full Text] [Related]
29. A wearable system to assist impaired-neck patients: Design and evaluation.
Ghasemi A; Sadedel M; Moghaddam MM
Proc Inst Mech Eng H; 2024 Jan; 238(1):63-77. PubMed ID: 38031465
[TBL] [Abstract][Full Text] [Related]
30. Quantifying the lumbar flexion-relaxation phenomenon: theory, normative data, and clinical applications.
Neblett R; Mayer TG; Gatchel RJ; Keeley J; Proctor T; Anagnostis C
Spine (Phila Pa 1976); 2003 Jul; 28(13):1435-46. PubMed ID: 12838103
[TBL] [Abstract][Full Text] [Related]
31. A Multi-Mode Rehabilitation Robot With Magnetorheological Actuators Based on Human Motion Intention Estimation.
Xu J; Li Y; Xu L; Peng C; Chen S; Liu J; Xu C; Cheng G; Xu H; Liu Y; Chen J
IEEE Trans Neural Syst Rehabil Eng; 2019 Oct; 27(10):2216-2228. PubMed ID: 31443038
[TBL] [Abstract][Full Text] [Related]
32. Continuous Motion Estimation of Knee Joint Based on a Parameter Self-Updating Mechanism Model.
Li J; Li K; Zhang J; Cao J
Bioengineering (Basel); 2023 Aug; 10(9):. PubMed ID: 37760130
[TBL] [Abstract][Full Text] [Related]
33. Estimation of knee joint movement using single-channel sEMG signals with a feature-guided convolutional neural network.
Zhang S; Lu J; Huo W; Yu N; Han J
Front Neurorobot; 2022; 16():978014. PubMed ID: 36386394
[TBL] [Abstract][Full Text] [Related]
34. Research on Robot Fuzzy Neural Network Motion System Based on Artificial Intelligence.
Hu J
Comput Intell Neurosci; 2022; 2022():4347772. PubMed ID: 35186062
[TBL] [Abstract][Full Text] [Related]
35. Assessment of Robot Interventions in a Task-based Rehabilitation: a case study.
MajidiRad A; Adhikari V; Yihun Y
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1825-1828. PubMed ID: 30440750
[TBL] [Abstract][Full Text] [Related]
36. Real-time upper limb motion estimation from surface electromyography and joint angular velocities using an artificial neural network for human-machine cooperation.
Kwon S; Kim J
IEEE Trans Inf Technol Biomed; 2011 Jul; 15(4):522-30. PubMed ID: 21558060
[TBL] [Abstract][Full Text] [Related]
37. SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training.
Cai S; Chen Y; Huang S; Wu Y; Zheng H; Li X; Xie L
Front Neurorobot; 2019; 13():31. PubMed ID: 31214010
[TBL] [Abstract][Full Text] [Related]
38. [Mirror-type rehabilitation training with dynamic adjustment and assistance for shoulder joint].
Chen S; Yan Y; Xu G; Gao X; Huang K; Tai C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Apr; 38(2):351-360. PubMed ID: 33913296
[TBL] [Abstract][Full Text] [Related]
39. [Research on mode adjustment control strategy of upper limb rehabilitation robot based on fuzzy recognition of interaction force].
Li G; Tao L; Meng J; Ye S; Feng G; Zhao D; Hu Y; Tang M; Song T; Fu R; Zuo G; Zhang J; Shi C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Feb; 41(1):90-97. PubMed ID: 38403608
[TBL] [Abstract][Full Text] [Related]
40. MuscleNET: mapping electromyography to kinematic and dynamic biomechanical variables by machine learning.
Nasr A; Bell S; He J; Whittaker RL; Jiang N; Dickerson CR; McPhee J
J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34352741
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
