We propose a system for automatic balance assessment.
Acceleration signals acquired by sensors worn by a patient.
Multiple medium and high frequency signal features extraction and selection.
Building an expert system able to process the feature vector.
Experiments with seven BBS activities and 52 elderly patients yielding 75–94% of correct assessments.