Automatic assessment of the myoclonus severity from videos recorded according to standardized Unified Myoclonus Rating Scale protocol and using human pose and body movement analysis.

Jelena Hyppönen¹, Anna Hakala², Kaapo Annala², Honglei Zhang², Jukka Peltola³, Esa Mervaala⁴, Reetta Kälviäinen⁵

¹Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland. Electronic address: jelena.hypponen@kuh.fi.

²Neuro Event Labs Oy (2712284-1), Tampere, Finland.

³Department of Neurology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Finland.

⁴Kuopio Epilepsy Center, Department of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.

⁵Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland; Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.

PubMed DOI

Abstract

PURPOSE: Myoclonus in progressive myoclonus epilepsy type 1 (EPM1) patients shows marked variability, which presents a substantial challenge in devising treatment and conducting clinical trials. Consequently, fast and objective myoclonus quantification methods are needed. METHODS: Ten video-recorded unified myoclonus rating scale (UMRS) myoclonus with action tests were performed on EPM1 patients…

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