135 related articles for article (PubMed ID: 26761839)
1. Force Modelling of Upper Limb Biomechanics Using Ensemble Fast Orthogonal Search on High-Density Electromyography.
Johns G; Morin E; Hashtrudi-Zaad K
IEEE Trans Neural Syst Rehabil Eng; 2016 Oct; 24(10):1041-1050. PubMed ID: 26761839
[TBL] [Abstract][Full Text] [Related]
2. Use of the fast orthogonal search method to estimate optimal joint angle for upper limb Hill-muscle models.
Mountjoy K; Morin E; Hashtrudi-Zaad K
IEEE Trans Biomed Eng; 2010 Apr; 57(4):790-8. PubMed ID: 19932992
[TBL] [Abstract][Full Text] [Related]
3. Identification of isometric contractions based on High Density EMG maps.
Rojas-Martínez M; Mañanas MA; Alonso JF; Merletti R
J Electromyogr Kinesiol; 2013 Feb; 23(1):33-42. PubMed ID: 22819519
[TBL] [Abstract][Full Text] [Related]
4. HD-sEMG-based research on activation heterogeneity of skeletal muscles and the joint force estimation during elbow flexion.
Zhang C; Chen X; Cao S; Zhang X; Chen X
J Neural Eng; 2018 Oct; 15(5):056027. PubMed ID: 30010094
[TBL] [Abstract][Full Text] [Related]
5. Less is more: high pass filtering, to remove up to 99% of the surface EMG signal power, improves EMG-based biceps brachii muscle force estimates.
Potvin JR; Brown SH
J Electromyogr Kinesiol; 2004 Jun; 14(3):389-99. PubMed ID: 15094152
[TBL] [Abstract][Full Text] [Related]
6. Surface EMG force modeling with joint angle based calibration.
Hashemi J; Morin E; Mousavi P; Hashtrudi-Zaad K
J Electromyogr Kinesiol; 2013 Apr; 23(2):416-24. PubMed ID: 23273763
[TBL] [Abstract][Full Text] [Related]
7. Biceps brachii myoelectric and oxygenation changes during static and sinusoidal isometric exercises.
Felici F; Quaresima V; Fattorini L; Sbriccoli P; Filligoi GC; Ferrari M
J Electromyogr Kinesiol; 2009 Apr; 19(2):e1-11. PubMed ID: 17890107
[TBL] [Abstract][Full Text] [Related]
8. Elbow-flexion force estimation during arm posture dynamically changing between pronation and supination.
Hu R; Chen X; Huang C; Cao S; Zhang X; Chen X
J Neural Eng; 2019 Oct; 16(6):066005. PubMed ID: 31261136
[TBL] [Abstract][Full Text] [Related]
9. Methodology to Customize Maximal Isometric Forces for Hill-Type Muscle Models.
Dal Maso F; Begon M; Raison M
J Appl Biomech; 2017 Feb; 33(1):80-86. PubMed ID: 27735222
[TBL] [Abstract][Full Text] [Related]
10. A Novel HD-sEMG Preprocessing Method Integrating Muscle Activation Heterogeneity Analysis and Kurtosis-Guided Filtering for High-Accuracy Joint Force Estimation.
Zhang C; Chen X; Cao S; Zhang X; Chen X
IEEE Trans Neural Syst Rehabil Eng; 2019 Sep; 27(9):1920-1930. PubMed ID: 31398123
[TBL] [Abstract][Full Text] [Related]
11. Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study.
Al Harrach M; Carriou V; Boudaoud S; Laforet J; Marin F
Comput Biol Med; 2017 Apr; 83():34-47. PubMed ID: 28219032
[TBL] [Abstract][Full Text] [Related]
12. High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans.
Rojas-Martínez M; Serna LY; Jordanic M; Marateb HR; Merletti R; Mañanas MÁ
Sci Data; 2020 Nov; 7(1):397. PubMed ID: 33199696
[TBL] [Abstract][Full Text] [Related]
13. Effects of anthropometric variables and electrode placement on the SEMG activity of the biceps brachii muscle during submaximal isometric contraction in arm wrestling.
Ahamed NU; Sundaraj K; Ahmad B; Rahman M; Ali MA; Islam MA
Biomed Tech (Berl); 2013 Oct; 58(5):475-88. PubMed ID: 24021590
[TBL] [Abstract][Full Text] [Related]
14. Computation and study of the low-frequency oscillation of surface electromyogram recorded in biceps during isometric upper limb contraction.
Tan A; Kumar DK; Arjunan SP; Jayadeva
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2128-31. PubMed ID: 24110141
[TBL] [Abstract][Full Text] [Related]
15. Improving EMG-based muscle force estimation by using a high-density EMG grid and principal component analysis.
Staudenmann D; Kingma I; Daffertshofer A; Stegeman DF; van Dieën JH
IEEE Trans Biomed Eng; 2006 Apr; 53(4):712-9. PubMed ID: 16602578
[TBL] [Abstract][Full Text] [Related]
16. Independent component analysis of high-density electromyography in muscle force estimation.
Staudenmann D; Daffertshofer A; Kingma I; Stegeman DF; van Dieën JH
IEEE Trans Biomed Eng; 2007 Apr; 54(4):751-4. PubMed ID: 17405383
[TBL] [Abstract][Full Text] [Related]
17. Automated Channel Selection in High-Density sEMG for Improved Force Estimation.
Hajian G; Etemad A; Morin E
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32867378
[TBL] [Abstract][Full Text] [Related]
18. Intra- and Intersession Reliability of Surface Electromyography on Muscles Actuating the Forearm During Maximum Voluntary Contractions.
Gaudet G; Raison M; Maso FD; Achiche S; Begon M
J Appl Biomech; 2016 Dec; 32(6):558-570. PubMed ID: 27619508
[TBL] [Abstract][Full Text] [Related]
19. A frequency and pulse-width co-modulation strategy for transcutaneous neuromuscular electrical stimulation based on sEMG time-domain features.
Zhou YX; Wang HP; Bao XL; Lü XY; Wang ZG
J Neural Eng; 2016 Feb; 13(1):016004. PubMed ID: 26644193
[TBL] [Abstract][Full Text] [Related]
20. An isometric muscle force estimation framework based on a high-density surface EMG array and an NMF algorithm.
Huang C; Chen X; Cao S; Qiu B; Zhang X
J Neural Eng; 2017 Aug; 14(4):046005. PubMed ID: 28497771
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
