Department of Rehabilitation Sciences, KU Leuven, Neurorehabilitation Research Group, Tervuursevest, Belgium
Correspondence to: Moran Gilat, PhD, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Tervuursevest 101, 3001 Belgium. Tel.: +32 16 32 94 27; E-mail: email@example.com.
Abstract: Visually scoring freezing of gait (FOG) from video is increasingly recognized as the gold-standard for assessing FOG severity in Parkinson’s disease. Surprisingly, no guidelines exist on how to visually score FOG. Here, I present a free template that can be implemented in open-source software to annotate FOG from video. I provide a user guide on how to implement the template and standardize the scoring of FOG and the percentage of time spent with FOG (% FOG). It is hoped that by disseminating this method investigators will be better able to employ % FOG as an outcome in their studies and therapeutic trials.
Keywords: Parkinson’s disease, gait, gait analysis, outcome assessment, falls, software