A5079368098- Balance, Gait, and Falls Prevention
- Muscle activation and electromyography studies
- Lower Extremity Biomechanics and Pathologies
- Physical Activity and Health
- Diabetic Foot Ulcer Assessment and Management
- Pharmaceutical studies and practices
- Health Systems, Economic Evaluations, Quality of Life
- Heart Rate Variability and Autonomic Control
- Pharmaceutical Practices and Patient Outcomes
- Delphi Technique in Research
- Real-time simulation and control systems
- Context-Aware Activity Recognition Systems
- Children's Physical and Motor Development
- Transport Systems and Technology
- Sports injuries and prevention
- Cardiac Health and Mental Health
- Stroke Rehabilitation and Recovery
Centre for Interdisciplinary Research in Rehabilitation
2019-2024
Université Laval
2024
Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale
2019-2022
Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
2019
Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
2019
Université de Technologie de Compiègne
2016
Despite the accessibility of several step count measurement systems, accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present potential solution for accuracy. The purpose this study was equip an insole with test novel potentially more accurate method detecting steps. Methods: Five force-sensitive resistors (FSR) were integrated under heel, first, third, fifth metatarsal heads great toe. This system tested twelve healthy...
Several studies have demonstrated that instrumented insoles enable the quantification of steps taken in people with or without walking limitations. However, number and location embedded pressure sensors an insole vary considerably literature, resulting variable step count accuracies. The objective this study was to determine optimum locations consider a minimum (fewer than 5), altering accuracy detection. An equipped five (FSRs) located under heel (FSRH), first (FSRM1), third (FSRM3) fifth...
Several studies have shown good accuracies for step count based on pressure signals of smart insoles in people walking at different speeds. Although are often equipped with sensors and accelerometer, no study has focused comparing the accuracy separately acceleration healthy people. The objectives this were to design a waveform model accelerometer sensors, then compare commercially well-known devices validate these models using manual counter count. Eight participants (age: 39.8±17.56 years...