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OpenSim Ltd computed muscle control algorithm
Computed Muscle Control Algorithm, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/control+algorithm/computed+muscle+control+algorithm/pmc11686175-215-19-18
Average 90 stars, based on 1 article reviews
computed muscle control algorithm - by Bioz Stars, 2026-10
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Article Title: A biomechanical model for concomitant functioning of neck and shoulder: a pilot study
Article Snippet: .. In study , OpenSim Computed Muscle Control algorithm was used to compute muscle forces during movements. ..

Article Title: Simulating ideal assistive devices to reduce the metabolic cost of walking with heavy loads.
Article Snippet: .. We used the Computed Muscle Control algorithm in OpenSim to find device torque profiles that minimized the sum of squared muscle activations while tracking measured kinematics of loaded walking without assistance. ..

Article Title: Generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB
Article Snippet: In this paper, we focus on fmincon and IPOPT because fmincon is included with most installations of MATLAB and IPOPT is freely available. .. Moreover, we focus on predictive musculoskeletal simulation as OpenSim already provides the mean to generate tracking simulations via the computed muscle control algorithm. .. In the work presented here, we combine the computational tools provided by MATLAB with the musculoskeletal modeling capabilities of OpenSim to create a framework for generating optimal control simulations of musculoskeletal movement using DC.

Article Title: Development of a breast reconstruction-specific computational model to predict shoulder function in breast cancer survivors
Article Snippet: .. Each motion, along with the three models, were used as inputs to OpenSim’s computed muscle control algorithm [ ]. ..

Article Title: A biomechanical model for concomitant functioning of neck and shoulder: a pilot study
Article Snippet: .. To obtain more realistic results, it is necessary to use alternative algorithms for calculating muscle forces, e.g. the OpenSim Computed Muscle Control Algorithm; Representation of muscle attachment points and muscle parameters, including initial tensions in the standing pose, is not precise. ..

Article Title: Contribution of lower extremity muscles to center of mass acceleration during walking: Effect of body weight.
Article Snippet: Overweight or obesity is known to be associated with altered activations of lower extremity muscles.. Such changes in muscular function may lead to the development of mobility impairments or joint diseases.. However, little is known about how individual lower extremity muscles contribute to the whole-body center of mass (COM) control during walking and the effect of body weight.

other:

Article Title: Simulated impacts of ankle foot orthoses on muscle demand and recruitment in typically-developing children and children with cerebral palsy and crouch gait
Article Snippet: Conversely, OpenSim’s computed muscle control algorithm (CMC) [ ] includes tendon dynamics, but over-predicts muscle forces [ , ].

Article Title: Why are antagonist muscles co-activated in my simulation? A musculoskeletal model for analysing human locomotor tasks
Article Snippet: We used the subjects' measured reaction forces and smoothed kinematics from RRA as inputs to OpenSim's computed muscle control (CMC) algorithm, which used forward integration (time window = 0.015 s) and a feedback controller to solve for a set of muscle excitations that reproduced each subject's measured movement dynamics 27 .



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Pictorial diagram showing how SenseAbility, the automatic sensing control algorithm, worked in our patient with the left bundle branch pacing lead connected to the atrial port. Following the paced R wave and the blanking period, the post-paced sensitivity threshold started at 0.8 mV (automatically set by device). As the decay delay is nominally 0 ms, this sensitivity threshold immediately starts to decrease until it reaches the maximum sensitivity programmed (0.2 mV in this case) over the programmed decay duration of 220 ms. Here, T wave oversensing is demonstrated. ECG = electrocardiogram.

Journal: HeartRhythm Case Reports

Article Title: Terrible T wave oversensing—programming pitfalls and optimization of the dual chamber implantable cardioverter-defibrillator with left bundle branch pacing

doi: 10.1016/j.hrcr.2025.08.019

Figure Lengend Snippet: Pictorial diagram showing how SenseAbility, the automatic sensing control algorithm, worked in our patient with the left bundle branch pacing lead connected to the atrial port. Following the paced R wave and the blanking period, the post-paced sensitivity threshold started at 0.8 mV (automatically set by device). As the decay delay is nominally 0 ms, this sensitivity threshold immediately starts to decrease until it reaches the maximum sensitivity programmed (0.2 mV in this case) over the programmed decay duration of 220 ms. Here, T wave oversensing is demonstrated. ECG = electrocardiogram.

Article Snippet: Automatic sensing control algorithms , Abbott , Medtronic , Biotronik , Boston Scientific.

Techniques: Control