Automated Epileptic Seizure Type Classification through Quantitative Movement Analysis

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Cunha, JPS (Author) Other; Vollmar, C (Author) Other; Fernandes, JM (Author) Other; Noachtar, S (Author) Other

Conference proceedings International

Title: WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS

Pages: 1435-1438

World Congress on Medical Physics and Biomedical Engineering

Munich, GERMANY, SEP 07-12, 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-003-D4B

DOI: 10.1007/978-3-642-03882-2-380

Abstract (EN): In this paper we present the evolution of a quantitative movement analysis methodology for epileptic seizures. With this improved method we analyzed 20 seizure video sequences, 10 classified as automotor and 10 as hypermotor, from 17 different patients. The results obtained show we could classify all (100%) of the hypermotor seizures solely based on a quantified movement parameter - called movement extent extracted with our method. Other quantitative parameters were also studied. This striking result paves the way to the contribution of quantitative movement methods in automated epileptic seizure detection systems.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4