Characteristics of motion signal profiles of tonic–clonic, tonic, hyperkinetic, and motor seizures extracted from nocturnal video recordings

Video-based motion signal analysis enabled the extraction of motion features characteristic for different motor seizure types which might be useful in further development of this system. Tonic component formed a recognizable seizure signature in the motion signal. Hyperkinetic and motor seizures may have not only significantly different motion signal amplitude but also overlapping signal profile characteristics which might hamper their automatic differentiation. Motion signals might be useful in the assessment of movement intensity changes to evaluate the treatment effect. Further research is needed to test generalizability and to increase reliability of the results.

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Publication Details

Journal
Epileptic Disorders
Published
2024-09-16
DOI
https://doi.org/10.1002/epd2.20284
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

Characteristics of motion signal profiles of tonic–clonic, tonic, hyperkinetic, and motor seizures extracted from nocturnal video recordings

Jukka Peltola, Petri Ojanen, Csaba Kertész
Epileptic Disorders
EEG and Brain-Computer Interfaces
article

Characteristics of motion signal profiles of tonic–clonic, tonic, hyperkinetic, and motor seizures extracted from nocturnal video recordings

Jukka Peltola, Petri Ojanen, Csaba Kertész
article en

Abstract

Video-based motion signal analysis enabled the extraction of motion features characteristic for different motor seizure types which might be useful in further development of this system. Tonic component formed a recognizable seizure signature in the motion signal. Hyperkinetic and motor seizures may have not only significantly different motion signal amplitude but also overlapping signal profile characteristics which might hamper their automatic differentiation. Motion signals might be useful in the assessment of movement intensity changes to evaluate the treatment effect. Further research is needed to test generalizability and to increase reliability of the results.

Epileptic DisordersVol. 26(6)
Tampere University (FI), Tampere University Hospital (FI), Tampere University (FI)
Openalex Percentile: Top 84%
EEG and Brain-Computer Interfaces
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Characteristics of motion signal profiles of tonic–clonic, tonic, hyperkinetic, and motor seizures extracted from nocturnal video recordings — Jukka Peltola, Petri Ojanen, et al. · Epileptic Disorders (2024) | TGRS Research Map | TGRS