Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/2604
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wimalarathne, M. A. J. I | - |
dc.contributor.author | Ubeysingha, K. U. K | - |
dc.contributor.author | Imbulana, I. A. D. M | - |
dc.contributor.author | Welikala, W. A. D. R | - |
dc.contributor.author | Pulasinghe, K | - |
dc.date.accessioned | 2022-06-10T08:04:34Z | - |
dc.date.available | 2022-06-10T08:04:34Z | - |
dc.date.issued | 2019-09-18 | - |
dc.identifier.issn | 2407-439X | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/2604 | - |
dc.description.abstract | Seizure is considered to be one of the severe and most common type of neurological disorders. Despite the availability of numerous anti-seizure drugs, it is often difficult to control the disease completely and effectively. Lack of close supervision and failure in providing urgent medical care during and after seizure episodes, leads to serious injuries or even death. On the other hand, the use of wireless sensor networks in everyday applications have rapidly increased due to decreased technology costs and improved product reliability. Therefore, developing a wearable device to monitor seizure may complete the anamnesis, help medical staff in diagnosing and acute treatment while preventing seizure related accidents. There are number of seizure detection systems available in the market. Still their performance is far from perfect. This paper explores an application of biomedical wireless sensor networks, which attempts to monitor patients in a completely non-invasive and non-intrusive manner. It describes a wearable device together with seizure prediction and alerting system, which is designed to address some issues with seizure detection systems in the market. Its functional block diagram and operating modes are detailed. Possible application areas of the device are also discussed. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Advanced Engineering and Science | en_US |
dc.relation.ispartofseries | Proceeding of the Electrical Engineering Computer Science and Informatics;Vol 7, No 1 | - |
dc.subject | myoclonic | en_US |
dc.subject | tonic–clonic | en_US |
dc.subject | nocturnal seizures | en_US |
dc.subject | frontal lobe | en_US |
dc.subject | febrile seizures | en_US |
dc.title | SeizeIT: SEIZURE victims are no longer leashed | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.11591/eecsi.v6.2015 | en_US |
Appears in Collections: | Department of Information Technology-Scopes Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
325992313.pdf | 350.61 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.