These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
123 related articles for article (PubMed ID: 38083427)
41. Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron. He Y; Fukuda O; Bu N; Okumura H; Yamaguchi N Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5636-5639. PubMed ID: 30441614 [TBL] [Abstract][Full Text] [Related]
42. Estimation of Knee Joint Angle from Surface EMG Using Multiple Kernels Relevance Vector Regression. Li HB; Guan XR; Li Z; Zou KF; He L Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430848 [TBL] [Abstract][Full Text] [Related]
43. MCR-ALS-based muscle synergy extraction method combined with LSTM neural network for motion intention detection. Zhao D; Ma Y; Meng J; Hu Y; Hong M; Zhang J; Zuo G; Lv X; Liu Y; Shi C Front Neurorobot; 2023; 17():1174710. PubMed ID: 37334170 [TBL] [Abstract][Full Text] [Related]
44. A CNN-LSTM model for six human ankle movements classification on different loads. Li M; Wang J; Yang S; Xie J; Xu G; Luo S Front Hum Neurosci; 2023; 17():1101938. PubMed ID: 36968785 [TBL] [Abstract][Full Text] [Related]
45. Electroencephalogram and surface electromyogram fusion-based precise detection of lower limb voluntary movement using convolution neural network-long short-term memory model. Zhang X; Li H; Dong R; Lu Z; Li C Front Neurosci; 2022; 16():954387. PubMed ID: 36213740 [TBL] [Abstract][Full Text] [Related]
46. A Multimodal Multilevel Converged Attention Network for Hand Gesture Recognition With Hybrid sEMG and A-Mode Ultrasound Sensing. Wei S; Zhang Y; Liu H IEEE Trans Cybern; 2023 Dec; 53(12):7723-7734. PubMed ID: 36149990 [TBL] [Abstract][Full Text] [Related]
47. DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. Wang H; Zhang Y; Liang J; Liu L Neural Netw; 2023 Jan; 157():240-256. PubMed ID: 36399979 [TBL] [Abstract][Full Text] [Related]
48. Channel Synergy-based Human-Robot Interface for a Lower Limb Walking Assistance Exoskeleton. Shi K; Huang R; Mu F; Peng Z; Yin J; Cheng H Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1076-1081. PubMed ID: 34891474 [TBL] [Abstract][Full Text] [Related]
49. A Low-Cost End-to-End sEMG-Based Gait Sub-Phase Recognition System. Luo R; Sun S; Zhang X; Tang Z; Wang W IEEE Trans Neural Syst Rehabil Eng; 2020 Jan; 28(1):267-276. PubMed ID: 31675333 [TBL] [Abstract][Full Text] [Related]
50. Elbow joint angle and elbow movement velocity estimation using NARX-multiple layer perceptron neural network model with surface EMG time domain parameters. Raj R; Sivanandan KS J Back Musculoskelet Rehabil; 2017; 30(3):515-525. PubMed ID: 27858692 [TBL] [Abstract][Full Text] [Related]
51. MCSNet: Channel Synergy-Based Human-Exoskeleton Interface With Surface Electromyogram. Shi K; Huang R; Peng Z; Mu F; Yang X Front Neurosci; 2021; 15():704603. PubMed ID: 34867145 [TBL] [Abstract][Full Text] [Related]
52. Neural network committees for finger joint angle estimation from surface EMG signals. Shrirao NA; Reddy NP; Kosuri DR Biomed Eng Online; 2009 Jan; 8():2. PubMed ID: 19154615 [TBL] [Abstract][Full Text] [Related]
53. Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control. Dantas H; Warren DJ; Wendelken SM; Davis TS; Clark GA; Mathews VJ IEEE Trans Biomed Eng; 2019 Nov; 66(11):3192-3203. PubMed ID: 30835207 [TBL] [Abstract][Full Text] [Related]
54. Continuous Estimation of Human Multi-Joint Angles From sEMG Using a State-Space Model. Ding Q; Han J; Zhao X IEEE Trans Neural Syst Rehabil Eng; 2017 Sep; 25(9):1518-1528. PubMed ID: 28113324 [TBL] [Abstract][Full Text] [Related]
55. 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]
56. Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signals. Lin C; Wang Y; Dai M Front Neurosci; 2024; 18():1306047. PubMed ID: 39050666 [TBL] [Abstract][Full Text] [Related]
57. Physics-Informed Deep Learning for Muscle Force Prediction With Unlabeled sEMG Signals. Ma S; Zhang J; Shi C; Di P; Robertson ID; Zhang ZQ IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1246-1256. PubMed ID: 38466606 [TBL] [Abstract][Full Text] [Related]
58. Inter-Subject Domain Adaptation for CNN-Based Wrist Kinematics Estimation Using sEMG. Bao T; Zaidi SAR; Xie S; Yang P; Zhang ZQ IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1068-1078. PubMed ID: 34086574 [TBL] [Abstract][Full Text] [Related]
59. Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network. Burns A; Adeli H; Buford JA J Med Syst; 2020 Aug; 44(10):176. PubMed ID: 32829419 [TBL] [Abstract][Full Text] [Related]
60. sEMG-angle estimation using feature engineering techniques for least square support vector machine. Gao Y; Luo Y; Zhao J; Li Q Technol Health Care; 2019; 27(S1):31-46. PubMed ID: 31045525 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]