Grant: Strategic Projects - Group
Queen's University
$186,200.00
Intelligent monitoring: diagnosis and rehabilitation of stroke patients
FY 2008-09
Summary
Stroke is one of the most common forms of neurological disability, causing a loss of independence and a need for substantial physical and financial support. Assessment of sensory and motor impairment plays a crucial role in all facets of patient care. Current approaches for identifying impairment involve subjective rating systems that lack sensitivity and reliability. Our primary goal is to integrate robotic technology with intelligent systems for the assessment and treatment of stroke patients. We will design, develop and evaluate advanced software tc objectively quantify sensorimotor function and to assist in the diagnosis of impairment, monitoring of progress, and planning of rehabilitation therapy. As well, we will systematically study the relationship between sensory and motor control in our subjects. The proposed research will involve seven graduate students who will receive advanced training in the interdisciplinary field of neuroscience.
The proposal involves a team of world class researchers working in the areas of neuroscience and biomedical computing. The research will be carried out in collaboration with industrial partners (IBM, BKIN and C-Motion) and with clinicians at Saint Mary's of the Lake Hospital in Kingston. Real-time data will be collected using KINARM, an advanced robotic device developed by our team, to measure sensory, motor and reflexive abilities in the upper limbs during multiple stages of recovery for stroke patients. This data will provide the necessary input for the development of our computational tools.
Our research into intelligent systems for real-time monitoring, diagnosis and treatment of stroke patients is unique and important to Canada's aging population. The market demand for objective clinical assessment tools is enormous due to the large number of individuals afflicted with neurophysiological disorders. The outcome o: our research will provide the next generation of clinical assessment tools for upper limb sensorimotor control.
Program
Strategic Projects - Group
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
336975-2006
Name nom
Glasgow, Janice
Department département
Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2006
Award amount
186200
Program id
STPGP
Program nane en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1042
Committee name en
Strategic Projects Selection Panel - Biomedical Technologies
Committee name fr
Comité de sélection des projets stratégiques - Technologies biomédicales
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
3
Nb partie
3
Application title
Intelligent monitoring: diagnosis and rehabilitation of stroke patients
Keyword
NA
Application summary
Stroke is one of the most common forms of neurological disability, causing a loss of independence and a need for substantial physical and financial support. Assessment of sensory and motor impairment plays a crucial role in all facets of patient care. Current approaches for identifying impairment involve subjective rating systems that lack sensitivity and reliability. Our primary goal is to integrate robotic technology with intelligent systems for the assessment and treatment of stroke patients. We will design, develop and evaluate advanced software tc objectively quantify sensorimotor function and to assist in the diagnosis of impairment, monitoring of progress, and planning of rehabilitation therapy. As well, we will systematically study the relationship between sensory and motor control in our subjects. The proposed research will involve seven graduate students who will receive advanced training in the interdisciplinary field of neuroscience.
The proposal involves a team of world class researchers working in the areas of neuroscience and biomedical computing. The research will be carried out in collaboration with industrial partners (IBM, BKIN and C-Motion) and with clinicians at Saint Mary's of the Lake Hospital in Kingston. Real-time data will be collected using KINARM, an advanced robotic device developed by our team, to measure sensory, motor and reflexive abilities in the upper limbs during multiple stages of recovery for stroke patients. This data will provide the necessary input for the development of our computational tools.
Our research into intelligent systems for real-time monitoring, diagnosis and treatment of stroke patients is unique and important to Canada's aging population. The market demand for objective clinical assessment tools is enormous due to the large number of individuals afflicted with neurophysiological disorders. The outcome o: our research will provide the next generation of clinical assessment tools for upper limb sensorimotor control.