408 related articles for article (PubMed ID: 25458151)
1. Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization.
Sartori M; Farina D; Lloyd DG
J Biomech; 2014 Nov; 47(15):3613-21. PubMed ID: 25458151
[TBL] [Abstract][Full Text] [Related]
2. Lower extremity EMG-driven modeling of walking with automated adjustment of musculoskeletal geometry.
Meyer AJ; Patten C; Fregly BJ
PLoS One; 2017; 12(7):e0179698. PubMed ID: 28700708
[TBL] [Abstract][Full Text] [Related]
3. CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.
Pizzolato C; Lloyd DG; Sartori M; Ceseracciu E; Besier TF; Fregly BJ; Reggiani M
J Biomech; 2015 Nov; 48(14):3929-36. PubMed ID: 26522621
[TBL] [Abstract][Full Text] [Related]
4. EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity.
Sartori M; Reggiani M; Farina D; Lloyd DG
PLoS One; 2012; 7(12):e52618. PubMed ID: 23300725
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations
Ao D; Vega MM; Shourijeh MS; Patten C; Fregly BJ
Front Bioeng Biotechnol; 2022; 10():962959. PubMed ID: 36159690
[TBL] [Abstract][Full Text] [Related]
7. Subject-specific calibration of neuromuscular parameters enables neuromusculoskeletal models to estimate physiologically plausible hip joint contact forces in healthy adults.
Hoang HX; Pizzolato C; Diamond LE; Lloyd DG
J Biomech; 2018 Oct; 80():111-120. PubMed ID: 30213647
[TBL] [Abstract][Full Text] [Related]
8. Static optimization underestimates antagonist muscle activity at the glenohumeral joint: A musculoskeletal modeling study.
Kian A; Pizzolato C; Halaki M; Ginn K; Lloyd D; Reed D; Ackland D
J Biomech; 2019 Dec; 97():109348. PubMed ID: 31668905
[TBL] [Abstract][Full Text] [Related]
9. Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion.
Sartori M; Maculan M; Pizzolato C; Reggiani M; Farina D
J Neurophysiol; 2015 Oct; 114(4):2509-27. PubMed ID: 26245321
[TBL] [Abstract][Full Text] [Related]
10. An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo.
Lloyd DG; Besier TF
J Biomech; 2003 Jun; 36(6):765-76. PubMed ID: 12742444
[TBL] [Abstract][Full Text] [Related]
11. Increasing level of neuromusculoskeletal model personalisation to investigate joint contact forces in cerebral palsy: A twin case study.
Davico G; Pizzolato C; Lloyd DG; Obst SJ; Walsh HPJ; Carty CP
Clin Biomech (Bristol, Avon); 2020 Feb; 72():141-149. PubMed ID: 31877532
[TBL] [Abstract][Full Text] [Related]
12. Comparison of electromyography and joint moment as indicators of co-contraction.
Knarr BA; Zeni JA; Higginson JS
J Electromyogr Kinesiol; 2012 Aug; 22(4):607-11. PubMed ID: 22382273
[TBL] [Abstract][Full Text] [Related]
13. Estimation of muscle forces and joint moments using a forward-inverse dynamics model.
Buchanan TS; Lloyd DG; Manal K; Besier TF
Med Sci Sports Exerc; 2005 Nov; 37(11):1911-6. PubMed ID: 16286861
[TBL] [Abstract][Full Text] [Related]
14. Review of Inverse Optimization for Functional and Physiological Considerations Related to the Force-Sharing Problem.
Tsirakos D; Baltzopoulos V; Bartlett R
Crit Rev Biomed Eng; 2017; 45(1-6):511-547. PubMed ID: 29953387
[TBL] [Abstract][Full Text] [Related]
15. Feasibility of using EMG driven neuromusculoskeletal model for prediction of dynamic movement of the elbow.
Koo TK; Mak AF
J Electromyogr Kinesiol; 2005 Feb; 15(1):12-26. PubMed ID: 15642650
[TBL] [Abstract][Full Text] [Related]
16. Electromyography-Assisted Neuromusculoskeletal Models Can Estimate Physiological Muscle Activations and Joint Moments Across the Neck Before Impacts.
Silvestros P; Pizzolato C; Lloyd DG; Preatoni E; Gill HS; Cazzola D
J Biomech Eng; 2022 Mar; 144(3):. PubMed ID: 34557891
[TBL] [Abstract][Full Text] [Related]
17. Robust Real-Time Musculoskeletal Modeling Driven by Electromyograms.
Durandau G; Farina D; Sartori M
IEEE Trans Biomed Eng; 2018 Mar; 65(3):556-564. PubMed ID: 28504931
[TBL] [Abstract][Full Text] [Related]
18. EMG-Driven Optimal Estimation of Subject-SPECIFIC Hill Model Muscle-Tendon Parameters of the Knee Joint Actuators.
Falisse A; Van Rossom S; Jonkers I; De Groote F
IEEE Trans Biomed Eng; 2017 Sep; 64(9):2253-2262. PubMed ID: 27875132
[TBL] [Abstract][Full Text] [Related]
19. Calibration of EMG to force for knee muscles is applicable with submaximal voluntary contractions.
Doorenbosch CA; Joosten A; Harlaar J
J Electromyogr Kinesiol; 2005 Aug; 15(4):429-35. PubMed ID: 15811613
[TBL] [Abstract][Full Text] [Related]
20. The effectiveness of EMG-driven neuromusculoskeletal model calibration is task dependent.
Kian A; Pizzolato C; Halaki M; Ginn K; Lloyd D; Reed D; Ackland D
J Biomech; 2021 Dec; 129():110698. PubMed ID: 34607281
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
