Ten steps to becoming a musculoskeletal simulation expert: A half-century of progress and outlook for the future

SD Uhlrich, TK Uchida, MR Lee, SL Delp - Journal of biomechanics, 2023 - Elsevier
Over the past half-century, musculoskeletal simulations have deepened our knowledge of
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …

A review of combined functional neuroimaging and motion capture for motor rehabilitation

EA Lorenz, X Su, N Skjaeret-Maroni - Journal of NeuroEngineering and …, 2024 - Springer
Background Technological advancements in functional neuroimaging and motion capture
have led to the development of novel methods that facilitate the diagnosis and rehabilitation …

Human motion capture, reconstruction, and musculoskeletal analysis in real time

U Lugrís, M Pérez-Soto, F Michaud… - Multibody System …, 2024 - Springer
Optical motion capture is an essential tool for the study and analysis of human movement.
Currently, most manufacturers of motion-capture systems provide software applications for …

A wearable real-time kinetic measurement sensor setup for human locomotion

H Wang, A Basu, G Durandau, M Sartori - Wearable technologies, 2023 - cambridge.org
Current laboratory-based setups (optical marker cameras+ force plates) for human motion
measurement require participants to stay in a constrained capture region which forbids rich …

A Co-Simulation Model Integrating a Musculoskeletal Human Model with Exoskeleton and Power Tool Model

C Molz, D Scherb, C Löffelmann, J Sänger, Z Yao… - Applied Sciences, 2024 - mdpi.com
Featured Application This research aims to provide a co-simulation model to derive design
optimizations for technical support systems regarding the user needs. Abstract Working at …

Tap** Into Skeletal Muscle Biomechanics for Design and Control of Lower Limb Exoskeletons: A Narrative Review

ZS Mahdian, H Wang, MIM Refai… - Journal of applied …, 2023 - journals.humankinetics.com
Lower limb exoskeletons and exosuits (“exos”) are traditionally designed with a strong focus
on mechatronics and actuation, whereas the “human side” is often disregarded or minimally …

[HTML][HTML] Perspective on “in the wild” movement analysis using machine learning

E Dorschky, V Camomilla, J Davis, P Federolf… - Human movement …, 2023 - Elsevier
Recent advances in wearable sensing and machine learning have created ample
opportunities for “in the wild” movement analysis in sports, since the combination of both …

Method for using IMU-based experimental motion data in BVH format for musculoskeletal simulations via OpenSim

I Wechsler, A Wolf, S Fleischmann, J Waibel, C Molz… - Sensors, 2023 - mdpi.com
Biomechanical simulation allows for in silico estimations of biomechanical parameters such
as muscle, joint and ligament forces. Experimental kinematic measurements are a …

Role of joint interactions in upper limb joint movements: a disability simulation study using wearable inertial sensors for 3D motion capture

N Bhagat, P Raghavan, V Kapila - Journal of NeuroEngineering and …, 2024 - Springer
Restriction of movement at a joint due to disease or dysfunction can alter the range of motion
(ROM) at other joints due to joint interactions. In this paper, we quantify the extent to which …