Document Detail


Spike detection algorithm automatically adapted to individual patients applied to spike-and-wave percentage quantification.
MedLine Citation:
PMID:  19467443     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To report an innovative spike detection algorithm that tailors its detection to the patient. Interictal epileptiform activity quantification was accomplished in the setting of epileptic syndromes with continuous spike and waves during slow sleep, which is a time-consuming task for the EEG analysis. METHODS: The algorithm works in three steps. Firstly, a first spike detection is made with generic parameters. Secondly, the detected spikes are used to tailor the detection algorithm to the patient; and thirdly, the resulting patient-specific detection algorithm is used to analyze individual patient with high-quality detection. Therefore, the algorithm produces a patient-specific template -hence exhibiting improved performance metrics, without the need of a priori knowledge from the experts. RESULTS: The system was first evaluated for EEG of three patients, against the scoring of three EEG experts, demonstrating similar performance. Later, it was evaluated against the spike and wave percentage evaluation of another expert for 17 additional records. The difference between the two evaluations was 4.4% on average, which is almost the same as the interexpert difference (4.7%). CONCLUSIONS: We designed a fully automated and efficient spike detection algorithm, which is liable to trim down the specialist's diagnostic time.
Authors:
A Nonclercq; M Foulon; D Verheulpen; C De Cock; M Buzatu; P Mathys; P Van Bogaert
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies     Date:  2009-01-09
Journal Detail:
Title:  Neurophysiologie clinique = Clinical neurophysiology     Volume:  39     ISSN:  1769-7131     ISO Abbreviation:  Neurophysiol Clin     Publication Date:  2009 Apr 
Date Detail:
Created Date:  2009-05-26     Completed Date:  2009-08-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8804532     Medline TA:  Neurophysiol Clin     Country:  France    
Other Details:
Languages:  eng     Pagination:  123-31     Citation Subset:  IM    
Affiliation:
Bio, Electro and Mechanical Systems (BEAMS), CP165/56, université Libre de Bruxelles, 50, avenue F.-Roosevelt, 1050 Bruxelles, Belgium. anoncler@ulb.ac.be
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Algorithms*
Child
Electroencephalography*
Epilepsy / physiopathology*
Female
Humans
Male
Monitoring, Physiologic / methods*
Observer Variation
Polysomnography / methods*
Reproducibility of Results
Sleep Disorders, Intrinsic / physiopathology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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