A computational platform for continuous seizure anticipation, monitoring and clinical evaluation.
Stud Health Technol Inform
; 224: 108-13, 2016.
Article
in En
| MEDLINE
| ID: mdl-27225563
ABSTRACT
The development of platforms that are able to continuously monitor and handle epileptic seizures in a non invasive manner is of great importance as they would improve the quality of life of drug resistant epileptic patients. In this work, a device and a computational platform is presented for acquiring low noise electroencephalographic signals, for the detection/prediction of epileptic seizures and the storage of ictal activity in an electronic personal health record. In order to develop this platform, a systematic clinical protocol was established including a number of drug resistant children from the University Hospital of Heraklion. Dry electrodes with innovative micro-spike design were proposed in order to increase the signal to noise ratio of the recorded EEG signals. A wearable low cost platform and its corresponding wireless communication protocol was developed focus on minimizing the interference with the patient's body. A computational subsystem with advanced algorithms provides detection/anticipation of upcoming seizure activity and aims to protect the patient from an accident due to a seizure or to improve his/her social life. Finally, the seizure activity information is stored in an electronic health record for further clinical evaluation.
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Database:
MEDLINE
Main subject:
Seizures
/
Electroencephalography
/
Epilepsy
Type of study:
Guideline
/
Prognostic_studies
Limits:
Humans
Language:
En
Year:
2016
Type:
Article