| 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 |
Related Documents
:
|
20935323 - Eeg abnormalities in early and late onset alzheimer's disease: understanding heterogene... 4398343 - Acute controlled hypotension and eeg in patients with hypertension and cerebrovascular ... 100453 - Physiotherapy in diagnosis and treatment of the myofascial pain dysfunction syndrome. |
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 |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| 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
Previous Document: Asymmetric POSTS associated with unilateral EEG abnormalities.
Next Document: Factors effecting expression of vaccines in microalgae.