Detecting epileptic seizures using wearable sensors

Author

Patel, Surabhi ; Mancinelli, C. ; Dalton, A. ; Patritti, B. ; Pang, Trudy ; Schachter, Steven ; Bonato, Paolo

Author_Institution

Med. Sch., Dept. of PM&R, Harvard Univ., Boston, MA

fYear

2009

Firstpage

1

Lastpage

2

Abstract

Epileptic seizures usually consist of stereotyped motor movements in association with characteristic changes in the electroencephalogram (EEG). Accurate recognition and quantification of seizures in patients with epilepsy is essential for diagnosis, selection of treatment and assessing the effects of therapy. In this paper, we present some preliminary results from our on-going research study on using wearable sensors to detect epileptic seizures. Examples are presented from data recorded on one patient.

Keywords

biomechanics; biomedical equipment; electroencephalography; medical disorders; neurophysiology; sensors; EEG data recording; electroencephalogram; epileptic seizure detection; patient diagnosis; patient treatment selection; stereotyped motor movement; wearable sensor; Accelerometers; Electroencephalography; Epilepsy; Event detection; Frequency; Medical diagnostic imaging; Medical treatment; Patient monitoring; Scalp; Wearable sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2009 IEEE 35th Annual Northeast

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-4362-8

Electronic_ISBN

978-1-4244-4364-2

Type

conf

DOI

10.1109/NEBC.2009.4967771

Filename

4967771