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Bell S, Nasr A, McPhee J. General Muscle Torque Generator Model for a Two Degree-of-Freedom Shoulder Joint. J Biomech Eng 2024; 146:081008. [PMID: 38470378 DOI: 10.1115/1.4065044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/04/2024] [Indexed: 03/13/2024]
Abstract
Muscle torque generators (MTGs) have been developed as an alternative to muscle-force models, reducing the muscle-force model complexity to a single torque at the joint. Current MTGs can only be applied to single Degree-of-freedom (DoF) joints, leading to complications in modeling joints with multiple-DoFs such as the shoulder. This study aimed to develop an MTG model that accounts for the coupling between 2-DoF at the shoulder joint: shoulder plane of elevation (horizontal abduction/adduction) and shoulder elevation (flexion/extension). Three different 2-DoF MTG equations were developed to model the coupling between these two movements. Net joint torques at the shoulder were determined for 20 participants (10 females and 10 males) in isometric, isokinetic, and passive tests. Curve and surface polynomial fitting were used to find the best general fit for the experimental data in terms of the different degrees of coupling. The models were validated against experimental isokinetic torque data. It was determined that implicit coupling that used interpolation between single-DoF MTGs resulted in the lowest root-mean-square percent error of 8.5%. The work demonstrated that general MTG models can predict torque results that are dependent on multiple-DoFs of the shoulder.
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Affiliation(s)
- Sydney Bell
- Systems Design Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
- University of Waterloo
| | - Ali Nasr
- Systems Design Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - John McPhee
- Systems Design Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Chander DS, Tomezzoli A, Cavatorta MP, Gréau M, Marie S, Pontonnier C. Biomechanical requirements of meat cutting tasks: A pilot study quantifying tasks sustainability and assistance required at the wrist. APPLIED ERGONOMICS 2024; 116:104186. [PMID: 38052153 DOI: 10.1016/j.apergo.2023.104186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023]
Abstract
The meat processing industry is particularly affected by distal upper limb musculoskeletal disorders. This pilot study aims at proposing a methodology able to quantify biomechanical requirements of meat cutting tasks at butchers' dominant wrist and, when necessary, at estimating the assistance needed to reach sustainability. Six professional butchers repeatedly cut pieces of pork. Joint angles were recorded using a motion capture system, cutting forces using an instrumented knife. Sustainability was computed by the maximal acceptable effort method. Assistance requirements were computed for isolated stressful exertions and for overall work cycle sustainability. Five butchers exceeded the sustainability threshold for wrist flexion. Ulnar or radial deviation torques were excessive for 2 and 3 of them, respectively. Extension torques were sustainable. The peak assistive torque for isolated exertions was at most 1.1Nm, 1.6Nm and 1.1Nm, and the percentage of assistance for overall sustainability was at most 60%, 56% and 56% for wrist flexion, ulnar and radial deviation, respectively.
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Savin JH, Rezzoug N. simMACT, a Software Demonstrator to Improve Maximum Actuation Joint Torques Simulation for Ergonomics Assessment. J Biomech Eng 2024; 146:044504. [PMID: 38319176 DOI: 10.1115/1.4064661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024]
Abstract
The maximum actuation joint torques that operators can perform at the workplace are essential parameters for biomechanical risk assessment. However, workstation designers generally only have at their disposal the imprecise and sparse estimates of these quantities provided with digital manikin digital human model (DHM) software. For instance, such tools consider only static postures and ignore important specificities of the human musculoskeletal system such as interjoints couplings. To alleviate the weaknesses of existing approaches implemented in digital human modeling tools relying on torque databases, this paper describes a methodology based on a class of polytopes called zonotopes and musculoskeletal simulation to assess maximum actuation torques. It has two main advantages, the ability to estimate maximum joint torques for any posture and taking into account musculoskeletal specificities unlike existing digital human modeling tools. As a case study, it also compares simulated maximum actuation torques to those recorded during an experiment described in the literature, focusing on an isometric task of the upper limb. This simulation has led to similar or smaller errors than DHM software tools. Hence, this methodology may help in interpreting interjoint couplings, choosing appropriate mathematical models or design experimental protocols. It may also be implemented in DHM software to provide designers with more comprehensive and more reliable data.
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Affiliation(s)
- Jonathan H Savin
- CPI Laboratory, Working Equipment Engineering Department, INRS, Vandoeuvre-lès-Nancy 54500, France
- Institut National de Recherche et de Sécurité
| | - Nasser Rezzoug
- RoBioSS Team, PPrime Institute, CNRS-University of Poitiers-ENSMA, UPR 3346, 86073 Poitiers cedex 9, France
- Institut Pprime
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Nasr A, Hashemi A, McPhee J. Scalable musculoskeletal model for dynamic simulations of upper body movement. Comput Methods Biomech Biomed Engin 2024; 27:306-337. [PMID: 36877170 DOI: 10.1080/10255842.2023.2184747] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/19/2022] [Accepted: 02/07/2023] [Indexed: 03/07/2023]
Abstract
A musculoskeletal (MSK) model is a valuable tool for assessing complex biomechanical problems, estimating joint torques during motion, optimizing motion in sports, and designing exoskeletons and prostheses. This study proposes an open-source upper body MSK model that supports biomechanical analysis of human motion. The MSK model of the upper body consists of 8 body segments (torso, head, left/right upper arm, left/right forearm, and left/right hand). The model has 20 degrees of freedom (DoFs) and 40 muscle torque generators (MTGs), which are constructed using experimental data. The model is adjustable for different anthropometric measurements and subject body characteristics: sex, age, body mass, height, dominant side, and physical activity. Joint limits are modeled using experimental dynamometer data within the proposed multi-DoF MTG model. The model equations are verified by simulating the joint range of motion (ROM) and torque; all simulation results have a good agreement with previously published research.
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Affiliation(s)
- Ali Nasr
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
| | - Arash Hashemi
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
| | - John McPhee
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
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Nasr A, McPhee J. Scalable musculoskeletal model for dynamic simulations of lower body movement. Comput Methods Biomech Biomed Engin 2024:1-27. [PMID: 38396368 DOI: 10.1080/10255842.2024.2316240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 01/27/2024] [Indexed: 02/25/2024]
Abstract
A musculoskeletal (MSK) model is an important tool for analysing human motions, calculating joint torques during movement, enhancing sports activity, and developing exoskeletons and prostheses. To enable biomechanical investigation of human motion, this work presents an open-source lower body MSK model. The MSK model of the lower body consists of 7 body segments (pelvis, left/right thigh, left/right leg, and left/right foot). The model has 20 degrees of freedom (DoFs) and 28 muscle torque generators (MTGs), which are developed from experimental data. The model can be modified for different anthropometric measurements and subject body characteristics, including sex, age, body mass, height, physical activity, and skin temperature. The model is validated by simulating the torque within the range of motion (ROM) of isolated movements; all simulation findings exhibit a good level of agreement with the literature.
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Affiliation(s)
- Ali Nasr
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
| | - John McPhee
- Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada
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Puchaud P, Dumont G, Bideau N, Pontonnier C. Knee torque generation capacities modelled with physiological torque-angle-velocity relationships. Comput Methods Biomech Biomed Engin 2019. [DOI: 10.1080/10255842.2020.1714915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Pierre Puchaud
- Centre de Recherche des Ecoles de St-Cyr Coëtquidan, Guer, France
- Univ Rennes, CNRS, Inria, IRISA - UMR 6074, Rennes, France
- Univ Rennes, Bruz, France
| | - Georges Dumont
- Univ Rennes, CNRS, Inria, IRISA - UMR 6074, Rennes, France
| | - Nicolas Bideau
- Univ Rennes, CNRS, Inria, IRISA - UMR 6074, Rennes, France
- Univ Rennes, Bruz, France
| | - Charles Pontonnier
- Centre de Recherche des Ecoles de St-Cyr Coëtquidan, Guer, France
- Univ Rennes, CNRS, Inria, IRISA - UMR 6074, Rennes, France
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