Stefania Sanseverino
Gait Analysis for X-linked Dystonia Parkinsonism: Disease Assessment and Severity Estimation Using Sensing Technology and Machine Learning.
Rel. Danilo Demarchi, Paolo Bonato, Giulia Corniani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
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Abstract
X-linked dystonia parkinsonism (XDP) is a rare movement disorder seen primarily in individuals from Panay Island, Philippines, marked by adult-onset dystonia that gradually progresses and often transitions into parkinsonism. The aim of this project is to assess the severity of XDP symptoms across four specific conditions (gait, freezing of gait and postural instability) by extracting relevant features from signals acquired through Inertial Measurement Unit (IMU) wearable sensors. The same approach was used to achieve this goal for each of these tasks. The dataset comprises baseline and follow-up data. The baseline includes 5 controls and 32 XDP subjects. Follow-up data were collected from 13 XDP subjects at 6 months and 7 XDP subjects at 12 months after the baseline.
Disease severity was assessed with the Unified Parkinson’s Disease Rating Scale Part 3 (MDSUPDRS)
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