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A Vibrotactile Feedback Device for Seated Balance Assessment and Training

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Quantifying Y Balance Test performance with multiple and single inertial sensors.

William Johnston, James Davenport, Rachelle Connelly

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 6, 2020

Summary

A single lumbar inertial sensor effectively distinguishes age-related dynamic balance differences in adults. Adding shank sensors did not significantly improve this balance assessment

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Area of Science:

Biomechanics
Kinesiology
Sensor Technology

Background:

The Y Balance Test (YBT) is a common clinical tool for assessing dynamic balance.
Inertial sensor data can enhance the YBT's sensitivity and clinical utility.
Optimal sensor placement for YBT is not yet established.

Purpose of the Study:

To investigate if single or multiple inertial sensors on the lumbar spine and/or shank can differentiate young and middle-aged adults based on dynamic balance.
To determine the most effective sensor configuration for clinical application.

Main Methods:

A cross-sectional study involving young (18-40 years) and middle-aged (40-65 years) adults.
Utilized random-forest classification to analyze inertial sensor data from lumbar and shank placements during YBT.
Evaluated classification accuracy, sensitivity, and specificity for different sensor configurations.

Main Results:

A single lumbar inertial sensor accurately classified age-related dynamic balance differences (79% accuracy).
Adding shank sensors did not significantly improve classification performance (73-77% accuracy).
Jerk magnitude root-mean-square was a key predictor across all YBT directions.

Conclusions:

A single lumbar inertial sensor is a cost-effective and clinically useful tool for assessing age-related dynamic balance changes.
Current evidence does not support the use of combined lumbar and shank sensors for improved age-based balance discrimination in the YBT.
Further research may explore other sensor locations or metrics for enhanced YBT analysis.