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Development of an algorithm for the evaluation of gait and balance impairments in CNS disorders

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Learn how raw accelerometer data from an iPhone app is transformed into clinically meaningful measures—such as duration, distance, steps, speed, and stride period—and how these outputs compare to rater-derived “gold standard” assessments. The poster highlights strong analytical validity and operational tolerance, demonstrating the potential of digital gait measures to support studies in Parkinson’s disease and other CNS conditions.

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