A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls

Autor: Marta Neira-Álvarez, Cristina Rodriguez-Sanchez, Antonio Ramón-Jiménez, Elisabet Huertas-Hoyas, Guillermo Garcia-Villamil
Rok vydání: 2021
Předmět:
Velocidad al caminar
Intraclass correlation
Pilot Projects
Timed Up and Go test
Walking
01 natural sciences
Biochemistry
Analytical Chemistry
0302 clinical medicine
Gait (human)
Teledetección
Outpatient clinic
assistant
Tecnología médica
Instrumentation
Gait
Postural Balance
Telemedicina
IMU
Atomic and Molecular Physics
and Optics
Time and Motion Studies
gait analysis
telemedicine
medicine.medical_specialty
Análisis de la marcha
Gerontología
Concurrent validity
frailty
TP1-1185
pedestrian dead reckoning
Article
03 medical and health sciences
Wearable Electronic Devices
Physical medicine and rehabilitation
Inertial measurement unit
mobile app
medicine
Humans
Electrical and Electronic Engineering
Aged
business.industry
Chemical technology
010401 analytical chemistry
0104 chemical sciences
Preferred walking speed
Cross-Sectional Studies
Gait analysis
Case-Control Studies
Accidental Falls
business
human activities
030217 neurology & neurosurgery
Zdroj: ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Sensors, Vol 21, Iss 4334, p 4334 (2021)
Sensors
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Popis: The high prevalence of falls and the enormous impact they have on the elderly population is a cause for concern. We aimed to develop a walking-monitor gait pattern (G-STRIDE) for older adults based on a 6-axis inertial measurement (IMU) with the application of pedestrian dead reckoning algorithms and tested its structural and clinical validity. A cross-sectional case–control study was conducted with 21 participants (11 fallers and 10 non-fallers). We measured gait using an IMU attached to the foot while participants walked around different grounds (indoor flooring, outdoor floor, asphalt, etc.). The G-STRIDE consisted of a portable inertial device that monitored the gait pattern and a mobile app for telematic clinical analysis. G-STRIDE made it possible to measure gait parameters under normal living conditions when walking without assessing the patient in the outpatient clinic. Moreover, we verified concurrent validity with convectional outcome measures using intraclass correlation coefficients (ICCs) and analyzed the differences between participants. G-STRIDE showed high estimation accuracy for the walking speed of the elderly and good concurrent validity compared to conventional measures (ICC = 0.69
p <
0.000). In conclusion, the developed inertial-based G-STRIDE can accurately classify older people with risk to fall with a significance as high as using traditional but more subjective clinical methods (gait speed, Timed Up and Go Test).
Databáze: OpenAIRE
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