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2020 – today
- 2023
[j10]Majun Song
, Weihai Chen, Sheng Guo, Zhongyi Li, John Rasmussen, Shaoping Bai:
Design, Simulation and Kinematic Verification of a Multi-Loop Ankle-Foot Prosthetic Mechanism. IEEE Robotics Autom. Lett. 8(9): 5767-5774 (2023)- [j9]Arash Ghaffari, John Rasmussen, SØren Vedding Kold, Rikke Emilie Kildahl Lauritsen, Andreas Kappel, Ole Rahbek:
Accelerations Recorded by Simple Inertial Measurement Units with Low Sampling Frequency Can Differentiate between Individuals with and without Knee Osteoarthritis: Implications for Remote Health Care. Sensors 23(5): 2734 (2023) - [j8]John Rasmussen, Sebastian D. Skejø, Rasmus Waagepetersen:
Predicting Tissue Loads in Running from Inertial Measurement Units. Sensors 23(24): 9836 (2023) - [c3]Juwairiya Siraj Khan, Mostafa Mohammadi, John Rasmussen, Lotte N. S. Andreasen Struijk:
Simulation-based design optimization of a wrist exoskeleton. EMBC 2023: 1-4 - 2022
- [j7]Arash Ghaffari, Ole Rahbek, Rikke Emilie Kildahl Lauritsen, Andreas Kappel, SØren Vedding Kold, John Rasmussen:
Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis. Sensors 22(14): 5289 (2022) - [j6]Anderson Souza Oliveira, Cristina-Ioana Pirscoveanu, John Rasmussen:
Predicting Vertical Ground Reaction Forces in Running from the Sound of Footsteps. Sensors 22(24): 9640 (2022) - [c2]Juwairiya Siraj Khan, Mostafa Mohammadi, John Rasmussen, Shaoping Bai, Lotte N. S. Andreasen Struijk:
A review on the design of assistive cable-driven upper-limb exoskeletons and their experimental evaluation. SMC 2022: 59-64 - 2021
- [j5]Emika Sato, Ryuji Shigemitsu, Takehiko Mito, Nobuhiro Yoda, John Rasmussen, Keiichi Sasaki:
The effects of bone remodeling on biomechanical behavior in a patient with an implant-supported overdenture. Comput. Biol. Medicine 129: 104173 (2021) - [j4]René B. K. Brund, Rasmus Waagepetersen, Rasmus O. Nielsen, John Rasmussen, Michael S. Nielsen, Christian H. Andersen, Mark de Zee:
How Precisely Can Easily Accessible Variables Predict Achilles and Patellar Tendon Forces during Running? Sensors 21(21): 7418 (2021)
2010 – 2019
- 2019
- [j3]Morten Lund, John Rasmussen, Michael Skipper Andersen:
AnyPyTools: A Python package for reproducible research with the AnyBody Modeling System. J. Open Source Softw. 4(33): 1108 (2019)
2000 – 2009
- 2009
- [c1]Mark de Zee, John Rasmussen:
Using Musculoskeletal Modeling for Estimating the Most Important Muscular Output - Force. 3DPH 2009: 62-70 - 2006
- [j2]Michael Damsgaard, John Rasmussen, Søren Tørholm Christensen, Egidijus Surma, Mark de Zee:
Analysis of musculoskeletal systems in the AnyBody Modeling System. Simul. Model. Pract. Theory 14(8): 1100-1111 (2006) - 2002
- [j1]Feng Gao, Michael Damsgaard, John Rasmussen, Søren Tørholm Christensen:
Computational method for muscle-path representation in musculoskeletal models. Biol. Cybern. 87(3): 199-210 (2002)
Coauthor Index
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