Paper
14 November 2002 Wireless system for long-term EEG monitoring of absence epilepsy
Ashwin K. Whitchurch, B. Hari Ashok, R. Vinod Kumaar, K. Saurkesi, Vijay K. Varadan
Author Affiliations +
Proceedings Volume 4937, Biomedical Applications of Micro- and Nanoengineering; (2002) https://doi.org/10.1117/12.473344
Event: SPIE's International Symposium on Smart Materials, Nano-, and Micro- Smart Systems, 2002, Melbourne, Australia
Abstract
Absence epilepsy is a form of epilepsy common mostly in children. The most common manifestations of Absence epilepsy are staring and transient loss of responsiveness. Also, subtle motor activities may occur. Due to the subtle nature of these symptoms, episodes of absence epilepsy may often go unrecognized for long periods of time or be mistakenly attributed to attention deficit disorder or daydreaming. Spells of absence epilepsy may last about 10 seconds and occur hundreds of times each day. Patients have no recollections of the events that occurred during those seizures and will resume normal activity without any postictal symptoms. The EEG during such episodes of Absence epilepsy shows intermittent activity of 3 Hz generalized spike and wave complexes. As EEG is the only way of detecting such symptoms, it is required to monitor the EEG of the patient for a long time and thus remain only in bed. So, effectively the EEG is being monitored only when the patient is stationary. The wireless monitoring sys tem described in this paper aims at eliminating this constraint and enables the physicial to monitor the EEG when the patient resumes his normal activities. This approach could even help the doctor identify possible triggers of absence epilepsy.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashwin K. Whitchurch, B. Hari Ashok, R. Vinod Kumaar, K. Saurkesi, and Vijay K. Varadan "Wireless system for long-term EEG monitoring of absence epilepsy", Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, (14 November 2002); https://doi.org/10.1117/12.473344
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Cited by 14 scholarly publications.
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KEYWORDS
Epilepsy

Electroencephalography

Electrodes

Amplifiers

Brain

Microcontrollers

Computing systems

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