Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$29,000.00
A neuromechanical approach to define muscle recruitment strategies and control of the upper limb
EF 2015-16
Résumé
To complete most activities of daily living we must coordinate limb movements through the control of muscles in the upper extremity. As humans, we continuously interact with tools and objects in our environment and we are often presented with situations where objects and tools apply variable forces and torques to the hand. This further challenges our ability to provide control. Muscle actions must counter an external disturbance and these actions are governed by the central nervous system and depend on the external conditions, task demands and limb posture. Biomechanical characteristics partially dictate roles for each muscle, but mechanical output is ultimately a consequence of signals sent by the central nervous system to the muscle. These neuromechanical aspects need to be considered to fully understand the links between motor commands, neural activity and limb mechanics. My research implements an approach to the development of a paradigm that better understands how the central nervous system controls hand and arm motion during workplace related tasks. The workplace provides a unique environment to study these changes since both fine and gross motor skills are needed daily to perform upper extremity tasks. This work uses perturbation experiments and fatigue protocols to simulate workplace demands and then uses electrical stimulation techniques (including transcranial magnetic stimulation, nerve and muscle stimulation) and computer modelling to bridge the gap between neural and biomechanical factors. Focusing on the manipulation of individual muscle parameters (force, length, velocity and fatigue) this work evaluates recruitment strategies due to changes in muscle mechanics and muscle roles (co-activation vs. antagonists). Muscle recruitment and control strategies will be determined such that a framework for identifying co-contraction and synergist muscle actions are established. This work is novel and spans several disciplines to evolve our understanding of how the central nervous system drives muscles to perform actions. This work is important to industrial applications and will lead to improved human factors and engineering of both the workplace and of tool design.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2015-05765
Name nom
Holmes, Michael
Department département
Health Sciences, Faculty of - Health Sciences, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
29000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1903
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomechanics
Research subject fr
Biomécanique
Partie
1
Nb partie
5
Application title
A neuromechanical approach to define muscle recruitment strategies and control of the upper limb
Keyword
NSERC
Application summary
To complete most activities of daily living we must coordinate limb movements through the control of muscles in the upper extremity. As humans, we continuously interact with tools and objects in our environment and we are often presented with situations where objects and tools apply variable forces and torques to the hand. This further challenges our ability to provide control. Muscle actions must counter an external disturbance and these actions are governed by the central nervous system and depend on the external conditions, task demands and limb posture. Biomechanical characteristics partially dictate roles for each muscle, but mechanical output is ultimately a consequence of signals sent by the central nervous system to the muscle. These neuromechanical aspects need to be considered to fully understand the links between motor commands, neural activity and limb mechanics. My research implements an approach to the development of a paradigm that better understands how the central nervous system controls hand and arm motion during workplace related tasks. The workplace provides a unique environment to study these changes since both fine and gross motor skills are needed daily to perform upper extremity tasks. This work uses perturbation experiments and fatigue protocols to simulate workplace demands and then uses electrical stimulation techniques (including transcranial magnetic stimulation, nerve and muscle stimulation) and computer modelling to bridge the gap between neural and biomechanical factors. Focusing on the manipulation of individual muscle parameters (force, length, velocity and fatigue) this work evaluates recruitment strategies due to changes in muscle mechanics and muscle roles (co-activation vs. antagonists). Muscle recruitment and control strategies will be determined such that a framework for identifying co-contraction and synergist muscle actions are established. This work is novel and spans several disciplines to evolve our understanding of how the central nervous system drives muscles to perform actions. This work is important to industrial applications and will lead to improved human factors and engineering of both the workplace and of tool design.