iBalance-ABF: A Smartphone-Based Audio-Biofeedback Balance System

This paper proposes an implementation of a Kalman filter, using inertial sensors of a smartphone, to estimate 3-D angulation of the trunk. The developed system monitors the trunk angular evolution during bipedal stance and helps the user to improve balance through a configurable and integrated audit...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2013-01, Vol.60 (1), p.211-215
Main Authors: Franco, C., Fleury, A., Gumery, P. Y., Diot, B., Demongeot, J., Vuillerme, N.
Format: Article
Language:English
Subjects:
Accelerometers
Adult
Algorithms
Ambient assisted living
balance
biofeedback
Biofeedback, Psychology - physiology
Biological control systems
Biomedical monitoring
Cell Phone
Computer Science
Engineering Sciences
Estimation
Female
Humans
inertial motion unit
Male
Monitoring
Monitoring, Ambulatory - instrumentation
Monitoring, Ambulatory - methods
Postural Balance - physiology
Sensors
Signal and Image processing
Signal Processing, Computer-Assisted
smartphone
Training
wearable device
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Summary:This paper proposes an implementation of a Kalman filter, using inertial sensors of a smartphone, to estimate 3-D angulation of the trunk. The developed system monitors the trunk angular evolution during bipedal stance and helps the user to improve balance through a configurable and integrated auditory-biofeedback (ABF) loop. A proof-of-concept study was performed to assess the effectiveness of this so-called iBalance-ABF-smartphone-based audio-biofeedback system-in improving balance during bipedal standing. Results showed that young healthy individuals were able to efficiently use ABF on sagittal trunk tilt to improve their balance in the medial-lateral direction. These findings suggest that the iBalance-ABF system as a telerehabilitation system could represent a suitable solution for ambient assisted living technologies.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2012.2222640