Improved Freezing of Gait Detection in Parkinson's Disease Using a Single Waist-Worn Accelerometer and a Transformer-Based Deep Neural Network

The proposed FOG-Transformer deep neural network architecture, which combines convolutional and transformer blocks, can significantly improve the detection of freezing of gait episodes in Parkinson's disease patients using a single waist-worn triaxial accelerometer.