David G. Lloyd
Biomedical Engineering · 2003–2015
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 12 citations into it; #1,048 of 10,734 by trust here, #6,455 by citations
- Cognitive Neuroscience — 5 citations into it; #2,274 of 10,852 by trust here, #6,902 by citations
Whom David G. Lloyd trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts David G. Lloyd overall
- Christian Fleischer
- Samuel R. Hamner
- Claudio Pizzolato
- Weijun Tao
- Ahmet Erdemir
- Thomas S. Buchanan
- Günter Hommel
- Massimo Sartori
- Scott L. Delp
- Ajay Seth
Papers from David G. Lloyd's perspective
Ordered by how strongly the researchers David G. Lloyd trusts endorse each paper. Same corpus, a different order for every researcher.
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (Journal of Biomechanics)
- Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. (Journal of Applied Biomechanics)
- Static and dynamic optimization solutions for gait are practically equivalent. (Journal of Biomechanics)
- Theory and application of digital signal processing
- Muscle contributions to propulsion and support during running (Journal of Biomechanics)
- GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
- OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement (IEEE Transactions on Biomedical Engineering)
- A Human--Exoskeleton Interface Utilizing Electromyography (IEEE Transactions on robotics)
- Dynamic optimization of human walking. (Journal of Biomechanical Engineering)
- Generating dynamic simulations of movement using computed muscle control. (Journal of Biomechanics)
Their papers
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (2003) — 1,223 citations
- Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. (2004) — 901 citations
- 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 (2015) — 328 citations
- EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity (2012) — 320 citations