Wearable Technology Advances in Parkinson's Disease Treatment for Freezing of Gait
Advances in wearable technology and computational classification are significantly improving the evaluation and treatment of Freezing of Gait (FoG) in Parkinson's disease (PD). Wearable inertial measurement units (wIMUs), which combine accelerometers, magnetometers, and gyroscopes, are now extensively used for real-world detection of FoG. These devices can be worn on various body parts, including the ankle, thigh, torso, lumbar area, and waist, to characterize movements and identify FoG episodes using pre-defined thresholds or algorithmic classifiers. Publicly available datasets from gait laboratories are being utilized to train these classifiers. Beyond wIMUs, other devices like ambulatory EEGs and ECGs are being explored to detect physiological markers preceding FoG episodes. Augmented and mixed reality devices are also collecting contextual information to identify triggers, while virtual reality paradigms simulate FoG triggers for systematic assessments. These technological advancements aim to provide m...