Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit

The results of this study demonstrate that our approach successfully outperforms the state-of-the-art methods for automatic FOG detection. Precisely, the deep learning model achieved 90% for the geometric mean between sensitivity and specificity, whereas the state-of-the-art methods were unable to surpass the 83% for the same metric.