Real Time Freezing of Gait Prediction in Parkinsons Disease Using Multimodal Sensor Fusion And IoT Enabled Deep Learning

Freezing of Gait (FoG) is a debilitating symptom of Parkinsons Disease (PD) that severely impacts mobility and quality of life. Early prediction of FoG can facilitate timely interventions, improving patient outcomes. This study proposes a multimodal sensor fusion approach combined with deep learning and Internet of Things (IoT) technology for real time FoG prediction.