Automatic optimization of parameters for seizure detection systems.
Annu Int Conf IEEE Eng Med Biol Soc
; 2013: 1976-9, 2013.
Article
in En
| MEDLINE
| ID: mdl-24110103
ABSTRACT
A parameter optimization method for an automatic seizure detection algorithm using the Nelder Mead algorithm is presented. A suitable cost function for joint optimization of sensitivity and false alarm rate is proposed. The optimization is done using EEG datasets from 23 patients and validated on datasets from another 23 patients. The resulting sensitivity was 82.3% with a false alarm rate of 0.24 FA/h. This is a reduction of the false alarm rate by 1.58 FA/h with an acceptable loss of sensitivity of 4.3%.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Seizures
/
Electroencephalography
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Annu Int Conf IEEE Eng Med Biol Soc
Year:
2013
Document type:
Article