Grant: Research Tools and Instruments
University of British Columbia
$149,426.00
Robotic balance simulator to characterize the adaptability and sensory code underlying the control of standing balance in humans
FY 2016-17
Summary
Standing upright is almost effortless. In some ways, our standing balance is like our breathing: both can happen involuntarily, yet we can be aware of our balance and breathing, and take conscious control if needed. The links between our conscious perception of upright posture and its automatic control have been recently questioned. Critical issues have been raised: How do our brain and nervous system adapt to changing postural environments and challenges (e.g. standing on firm ground vs on a stand-up paddle board)? What sensory information does our nervous system use to make adjustments? Are we consciously aware of the signals used by our nervous system to maintain and adapt our balance?
The requested equipment will enable us to address these key research questions that could not be answered without it. We will build a one-of-a-kind robotic balance simulator (combined with a non-conductive force platform) that will allow us to test our balance system's ability to adapt and characterize our perception of these adaptations. We will test this adaptability by breaking the close link between the nervous system's motor output from its mechanical outcomes. The robotic balance simulator will permit us to explore the limits of our strategies to control balance, and reveal key features of how our brain encodes, decodes and makes use of sensory information to stand upright. In addition, the custom-designed robotic balance simulator will allow us to record activity directly from nerves in awake humans to determine the neural information underlying the control of standing balance. This represents a research frontier that will be enabled by the unique design of the robotic balance simulator.
The robotic balance simulator requested in this proposal will accelerate innovative discoveries, allowing our research team to describe the neural information that is involved in standing balance. The novel findings enabled by this unique equipment will foster new modelling avenues for the control of standing in robots designed to mimic humans. The immediate beneficiaries of this work will be researchers and research trainees working in the areas of neuroscience, physiology, balance control, computer science and engineering. These innovations will also benefit clinical researchers and clinicians, informing them about the limits and adaptability of our nervous system in controlling balance and ultimately will paving the way for the development of new balance training and rehabilitation strategies.
Program
Research Tools and Instruments
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RTI-2017-00080
Name nom
Blouin, JeanSébastien
Department département
Kinesiology, School of - Kinesiology, School of
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
149426
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
1602
Committee name en
Biological Systems and Functions (RTI)
Committee name fr
Systèmes et fonctions biologiques (OIR)
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
5501
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Neurophysiology
Research subject fr
Neurophysiologie
Partie
1
Nb partie
1
Application title
Robotic balance simulator to characterize the adaptability and sensory code underlying the control of standing balance in humans
Keyword
NSERC
Application summary
Standing upright is almost effortless. In some ways, our standing balance is like our breathing: both can happen involuntarily, yet we can be aware of our balance and breathing, and take conscious control if needed. The links between our conscious perception of upright posture and its automatic control have been recently questioned. Critical issues have been raised: How do our brain and nervous system adapt to changing postural environments and challenges (e.g. standing on firm ground vs on a stand-up paddle board)? What sensory information does our nervous system use to make adjustments? Are we consciously aware of the signals used by our nervous system to maintain and adapt our balance?
The requested equipment will enable us to address these key research questions that could not be answered without it. We will build a one-of-a-kind robotic balance simulator (combined with a non-conductive force platform) that will allow us to test our balance system's ability to adapt and characterize our perception of these adaptations. We will test this adaptability by breaking the close link between the nervous system's motor output from its mechanical outcomes. The robotic balance simulator will permit us to explore the limits of our strategies to control balance, and reveal key features of how our brain encodes, decodes and makes use of sensory information to stand upright. In addition, the custom-designed robotic balance simulator will allow us to record activity directly from nerves in awake humans to determine the neural information underlying the control of standing balance. This represents a research frontier that will be enabled by the unique design of the robotic balance simulator.
The robotic balance simulator requested in this proposal will accelerate innovative discoveries, allowing our research team to describe the neural information that is involved in standing balance. The novel findings enabled by this unique equipment will foster new modelling avenues for the control of standing in robots designed to mimic humans. The immediate beneficiaries of this work will be researchers and research trainees working in the areas of neuroscience, physiology, balance control, computer science and engineering. These innovations will also benefit clinical researchers and clinicians, informing them about the limits and adaptability of our nervous system in controlling balance and ultimately will paving the way for the development of new balance training and rehabilitation strategies.