Activity-aware essential tremor evaluation using deep learning method based on acceleration data.
Journal:
Parkinsonism & related disorders
PMID:
30122598
Abstract
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evaluated with validated rating scales which only provide a subjective assessment during a clinical visit, underestimating the fluctuations tremor during different daily activities. Motion sensors have shown favorable performances in both quantifying tremor and voluntary human activity recognition (HAR).