Literature DB >> 27723992

Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim.

C Pizzolato1, M Reggiani2, L Modenese1,3,4, D G Lloyd1.   

Abstract

Real-time estimation of joint angles and moments can be used for rapid evaluation in clinical, sport, and rehabilitation contexts. However, real-time calculation of kinematics and kinetics is currently based on approximate solutions or generic anatomical models. We present a real-time system based on OpenSim solving inverse kinematics and dynamics without simplifications at 2000 frame per seconds with less than 31.5 ms of delay. We describe the software architecture, sensitivity analyses to minimise delays and errors, and compare offline and real-time results. This system has the potential to strongly impact current rehabilitation practices enabling the use of personalised musculoskeletal models in real-time.

Entities:  

Keywords:  Gait analysis; OpenSim; biomechanics; inverse dynamics; kinematics; real-time

Mesh:

Year:  2016        PMID: 27723992      PMCID: PMC5550294          DOI: 10.1080/10255842.2016.1240789

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  25 in total

1.  Effect of low pass filtering on joint moments from inverse dynamics: implications for injury prevention.

Authors:  Eirik Kristianslund; Tron Krosshaug; Antonie J van den Bogert
Journal:  J Biomech       Date:  2012-01-09       Impact factor: 2.712

2.  A general solution for the time delay introduced by a low-pass Butterworth digital filter: An application to musculoskeletal modeling.

Authors:  Kurt Manal; William Rose
Journal:  J Biomech       Date:  2006-03-20       Impact factor: 2.712

3.  Real-time knee adduction moment feedback for gait retraining through visual and tactile displays.

Authors:  Jason W Wheeler; Pete B Shull; Thor F Besier
Journal:  J Biomech Eng       Date:  2011-04       Impact factor: 2.097

4.  Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.

Authors:  Pete B Shull; Kristen L Lurie; Mark R Cutkosky; Thor F Besier
Journal:  J Biomech       Date:  2011-04-02       Impact factor: 2.712

5.  Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces.

Authors:  Pauline Gerus; Massimo Sartori; Thor F Besier; Benjamin J Fregly; Scott L Delp; Scott A Banks; Marcus G Pandy; Darryl D D'Lima; David G Lloyd
Journal:  J Biomech       Date:  2013-09-12       Impact factor: 2.712

6.  Self in motion: sensorimotor and cognitive mechanisms in gait agency.

Authors:  O A Kannape; O Blanke
Journal:  J Neurophysiol       Date:  2013-07-03       Impact factor: 2.714

7.  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.

Authors:  Claudio Pizzolato; David G Lloyd; Massimo Sartori; Elena Ceseracciu; Thor F Besier; Benjamin J Fregly; Monica Reggiani
Journal:  J Biomech       Date:  2015-10-19       Impact factor: 2.712

8.  Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: a perspective from European research sites.

Authors:  Benjamin J Fregly; Michael L Boninger; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2012-03-30       Impact factor: 4.262

9.  EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity.

Authors:  Massimo Sartori; Monica Reggiani; Dario Farina; David G Lloyd
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

10.  MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation.

Authors:  Alice Mantoan; Claudio Pizzolato; Massimo Sartori; Zimi Sawacha; Claudio Cobelli; Monica Reggiani
Journal:  Source Code Biol Med       Date:  2015-11-16
View more
  6 in total

1.  Biofeedback for Gait Retraining Based on Real-Time Estimation of Tibiofemoral Joint Contact Forces.

Authors:  Claudio Pizzolato; Monica Reggiani; David J Saxby; Elena Ceseracciu; Luca Modenese; David G Lloyd
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-18       Impact factor: 3.802

Review 2.  Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation.

Authors:  Claudio Pizzolato; David G Lloyd; Rod S Barrett; Jill L Cook; Ming H Zheng; Thor F Besier; David J Saxby
Journal:  Front Comput Neurosci       Date:  2017-10-18       Impact factor: 2.380

3.  An extended OpenSim knee model for analysis of strains of connective tissues.

Authors:  M Marieswaran; Arnab Sikidar; Anu Goel; Deepak Joshi; Dinesh Kalyanasundaram
Journal:  Biomed Eng Online       Date:  2018-04-17       Impact factor: 2.819

4.  Design of the Cooperative Actuation in Hybrid Orthoses: A Theoretical Approach Based on Muscle Models.

Authors:  Francisco Romero-Sánchez; Javier Bermejo-García; Jorge Barrios-Muriel; Francisco J Alonso
Journal:  Front Neurorobot       Date:  2019-07-31       Impact factor: 2.650

Review 5.  Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury.

Authors:  Claudio Pizzolato; David J Saxby; Dinesh Palipana; Laura E Diamond; Rod S Barrett; Yang D Teng; David G Lloyd
Journal:  Front Neurorobot       Date:  2019-12-02       Impact factor: 2.650

6.  Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation.

Authors:  Dimitar Stanev; Konstantinos Filip; Dimitrios Bitzas; Sokratis Zouras; Georgios Giarmatzis; Dimitrios Tsaopoulos; Konstantinos Moustakas
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.