Grant: Research Tools and Instruments
University of Waterloo
$150,000.00
A System for Integrated Measurements for Human Movement
EF 2016-17
Résumé
The applicants share strong research interests and activities directed toward understanding the underlying cognitive, neural and physical mechanisms of human movement, and in transferring the acquired knowledge to develop novel products and services in areas including, but not limited to, manufacturing, education, healthcare, and sports. Although our research programs in these areas have made tremendous progresses in the past years, we have reached a threshold where a new research tool is imperative. Human movement is the result of an interaction among complex neural and physical processes. However, we only have tools that allow us to investigate one of these processes at a time, either neurophysiological or biomechanical. Consequently, we are largely blind to the other closely linked processes integral to the movements under investigation. As a result, the outputs of our research are isolated and fragmented, which is incomplete, biased and can even be erroneous. To address this problem, we propose to build an integrated measurement system for human movement that incorporates the following sensor modalities: a high-density electromyographic (HD-EMG) amplifier to measure electric activities of the smallest functional units of muscles, motor units (MU); and a state-of-the-art dynamometer to measure joint torque during static and dynamic contractions. This system, integrated with these two measurement modalities, will allow us to analyze inter-linked neural and physical processes of human movement in a systematic and biofidelic manner, as it simultaneously captures the chain of processes underlying human movement from the actuators, i.e. the bursting patterns of the MUs within a muscle and among synergistic muscle group (HD-EMG), to the end-effectors i.e. the torque, velocity produced at different joints and forces at the upper and lower extremities. Further, the system is capable of measuring these signals during both static and dynamic contractions, in a repeatable and consistent manner. In summary, the proposed system is essential and imperative to the establishment of an integrated research platform for human movement analysis, with unprecedented capability. It is estimated that more than 50 HQP will use the system in their training and research over the next 5 years, and more for years to come.
Programme
Research Tools and Instruments
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RTI-2017-00099
Name nom
Jiang, Ning
Department département
Systems Design Engineering - Systems Design Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
150000
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1609
Committee name en
Engineering (RTI)
Committee name fr
Génie (OIR)
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
1900
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical engineering
Research subject fr
Génie biomédical
Partie
1
Nb partie
1
Application title
A System for Integrated Measurements for Human Movement
Keyword
NSERC
Application summary
The applicants share strong research interests and activities directed toward understanding the underlying cognitive, neural and physical mechanisms of human movement, and in transferring the acquired knowledge to develop novel products and services in areas including, but not limited to, manufacturing, education, healthcare, and sports. Although our research programs in these areas have made tremendous progresses in the past years, we have reached a threshold where a new research tool is imperative. Human movement is the result of an interaction among complex neural and physical processes. However, we only have tools that allow us to investigate one of these processes at a time, either neurophysiological or biomechanical. Consequently, we are largely blind to the other closely linked processes integral to the movements under investigation. As a result, the outputs of our research are isolated and fragmented, which is incomplete, biased and can even be erroneous. To address this problem, we propose to build an integrated measurement system for human movement that incorporates the following sensor modalities: a high-density electromyographic (HD-EMG) amplifier to measure electric activities of the smallest functional units of muscles, motor units (MU); and a state-of-the-art dynamometer to measure joint torque during static and dynamic contractions. This system, integrated with these two measurement modalities, will allow us to analyze inter-linked neural and physical processes of human movement in a systematic and biofidelic manner, as it simultaneously captures the chain of processes underlying human movement from the actuators, i.e. the bursting patterns of the MUs within a muscle and among synergistic muscle group (HD-EMG), to the end-effectors i.e. the torque, velocity produced at different joints and forces at the upper and lower extremities. Further, the system is capable of measuring these signals during both static and dynamic contractions, in a repeatable and consistent manner. In summary, the proposed system is essential and imperative to the establishment of an integrated research platform for human movement analysis, with unprecedented capability. It is estimated that more than 50 HQP will use the system in their training and research over the next 5 years, and more for years to come.