Processing and synchronization of biomechanical data from wearable sensors from Parkinson’s disease patients at home for detection of freezing of gait

Freezing of Gait (FOG) is a symptom of Parkinson's Disease (PD) which can be treated using external cueing. In order to make external cueing an effective treatment it is important that the FOG episodes can be detected. For detection of FOG biomechanical data from PD patients has been collected. This thesis describes processing and synchronizing the data in order to make future analysis possible for detecting when a FOG episodes happens.