Title
A computational platform for continuous seizure anticipitation, monitoring and clinical evaluation.
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.
Year
DOI
Venue
2016
10.3233/978-1-61499-653-8-108
Studies in Health Technology and Informatics
Keywords
Field
DocType
Seizure detection,seizure anticipation,EEG,dry EEG electrodes,wearable device,WBAN,EEG analysis,electronic health record
Data science,Simulation,Anticipation,Knowledge management,Medicine
Conference
Volume
ISSN
Citations 
224
0926-9630
0
PageRank 
References 
Authors
0.34
0
10