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.
142 related articles for article (PubMed ID: 36992041)
1. EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network. Truong MTN; Ali AEA; Owaki D; Hayashibe M Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36992041 [TBL] [Abstract][Full Text] [Related]
2. Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature. Ma X; Liu Y; Song Q; Wang C Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32887326 [TBL] [Abstract][Full Text] [Related]
3. A Novel TCN-LSTM Hybrid Model for sEMG-Based Continuous Estimation of Wrist Joint Angles. Du J; Liu Z; Dong W; Zhang W; Miao Z Sensors (Basel); 2024 Aug; 24(17):. PubMed ID: 39275542 [TBL] [Abstract][Full Text] [Related]
4. Estimation of Lower Limb Kinematics during Squat Task in Different Loading Using sEMG Activity and Deep Recurrent Neural Networks. Zangene AR; Abbasi A; Nazarpour K Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883777 [TBL] [Abstract][Full Text] [Related]
5. Lower Limb Joint Torque Prediction Using Long Short-Term Memory Network and Gaussian Process Regression. Wang M; Chen Z; Zhan H; Zhang J; Wu X; Jiang D; Guo Q Sensors (Basel); 2023 Dec; 23(23):. PubMed ID: 38067948 [TBL] [Abstract][Full Text] [Related]
6. Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach. Song Q; Ma X; Liu Y Comput Biol Med; 2023 Sep; 163():107124. PubMed ID: 37315381 [TBL] [Abstract][Full Text] [Related]
7. A practical strategy for sEMG-based knee joint moment estimation during gait and its validation in individuals with cerebral palsy. Kwon S; Park HS; Stanley CJ; Kim J; Kim J; Damiano DL IEEE Trans Biomed Eng; 2012 May; 59(5):1480-7. PubMed ID: 22410952 [TBL] [Abstract][Full Text] [Related]
8. Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography. Zhao H; Qiu Z; Peng D; Wang F; Wang Z; Qiu S; Shi X; Chu Q Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420573 [TBL] [Abstract][Full Text] [Related]
9. Estimation of Muscle Forces of Lower Limbs Based on CNN-LSTM Neural Network and Wearable Sensor System. Liu K; Liu Y; Ji S; Gao C; Fu J Sensors (Basel); 2024 Feb; 24(3):. PubMed ID: 38339749 [TBL] [Abstract][Full Text] [Related]
10. Contributions to the understanding of gait control. Simonsen EB Dan Med J; 2014 Apr; 61(4):B4823. PubMed ID: 24814597 [TBL] [Abstract][Full Text] [Related]
11. Estimation of lower limb joint moments based on the inverse dynamics approach: a comparison of machine learning algorithms for rapid estimation. Mansour M; Serbest K; Kutlu M; Cilli M Med Biol Eng Comput; 2023 Dec; 61(12):3253-3276. PubMed ID: 37561330 [TBL] [Abstract][Full Text] [Related]
12. An Attention-based Bidirectional LSTM Model for Continuous Cross-Subject Estimation of Knee Joint Angle during Running from sEMG Signals. Zangene AR; Williams Samuel O; Abbasi A; Nazarpour K; McEwan AA; Li G Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083427 [TBL] [Abstract][Full Text] [Related]
13. Effect of fatigue on kinematics, kinetics and muscle activities of lower limbs during gait. Zhang L; Yan Y; Liu G; Han B; Fei J; Zhang Y Proc Inst Mech Eng H; 2022 Sep; 236(9):1365-1374. PubMed ID: 35912824 [TBL] [Abstract][Full Text] [Related]
14. A biomechanical investigation of a single-limb squat: implications for lower extremity rehabilitation exercise. Richards J; Thewlis D; Selfe J; Cunningham A; Hayes C J Athl Train; 2008; 43(5):477-82. PubMed ID: 18833310 [TBL] [Abstract][Full Text] [Related]
15. Mechanisms contributing to different joint moments observed during human walking. Simonsen EB; Dyhre-Poulsen P; Voigt M; Aagaard P; Fallentin N Scand J Med Sci Sports; 1997 Feb; 7(1):1-13. PubMed ID: 9089898 [TBL] [Abstract][Full Text] [Related]
16. Biomechanics of the lower limb in patients with mild knee osteoarthritis during the sit-to-stand task. Pan J; Fu W; Lv J; Tang H; Huang Z; Zou Y; Zhang X; Liao B BMC Musculoskelet Disord; 2024 Apr; 25(1):268. PubMed ID: 38582828 [TBL] [Abstract][Full Text] [Related]
17. Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals. Guo W; Ma C; Wang Z; Zhang H; Farina D; Jiang N; Lin C J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33326941 [No Abstract] [Full Text] [Related]
18. Lower-Limb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning. Zhang L; Soselia D; Wang R; Gutierrez-Farewik EM IEEE Trans Neural Syst Rehabil Eng; 2022; 30():600-609. PubMed ID: 35239487 [TBL] [Abstract][Full Text] [Related]
19. The interrelationship between lower limb movement, muscle activity, and joint moment during half squat and gait. Matsumura U; Tsurusaki T; Ogusu R; Yamamoto S; Lee Y; Sunagawa S; Reid WD; Koseki H Heliyon; 2023 Nov; 9(11):e21762. PubMed ID: 38028012 [TBL] [Abstract][Full Text] [Related]
20. Using Reinforcement Learning to Estimate Human Joint Moments From Electromyography or Joint Kinematics: An Alternative Solution to Musculoskeletal-Based Biomechanics. Wu W; Saul KR; Huang HH J Biomech Eng; 2021 Apr; 143(4):. PubMed ID: 33332536 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]