Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research

Currently numerous theories and model have been developed to associate various findings or in relating EEG patterns to develop a software simulator. Here we develop a hardware simulator of the EEG model or to simulator any EEG data set in either .edf or .tdmsot .txtformat from any patient or databas...

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Main Authors: Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed, Kamel, Nidal
Format: Non-Citation Index Journal
Published: 2013
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Online Access:http://eprints.utp.edu.my/10849/1/282-A011.pdf
http://dx.doi.org/10.7763/IJBBB.2013.V3.282
http://eprints.utp.edu.my/10849/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.108492013-12-16T23:47:59Z Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research Qidwai, Uvais Malik, Aamir Saeed Shakir, Mohamed Kamel, Nidal Q Science (General) R Medicine (General) T Technology (General) Currently numerous theories and model have been developed to associate various findings or in relating EEG patterns to develop a software simulator. Here we develop a hardware simulator of the EEG model or to simulator any EEG data set in either .edf or .tdmsot .txtformat from any patient or database depository. The proposed hardware simulator will enhance researchers and hardware validators to simulate, validate and test their detection algorithms forehand, before actual testing the algorithm in the actual standalone hardware. This system make use of signal generator block and then pass this data to the external hardware data acquisition system like the NI-DAQ with an external option to transfer the data wirelessly(Bluetooth, Zigbee, Wi-Fi) or wired (analog port, serial bus etc). This simulator can simulate or generate seizure, pre-seizure and normal EEG waveform. The paired cost effective Arduino microcontroller (in case of wireless system) will be having the algorithm in built in order to classify the type of signal received. This can help in developing wearable EEG Seizure monitoring system(WBAN-HL7). Thispaper will enhance the purpose of developing a system which can alert locally in a form of wearable gadget, whenever a pre-seizure occurs. This can help the epileptic patient or the user to take precautionary action to save themselves from accidents or injury, just before the occurrence of the seizure. Useable of this embedded wearable version can ensure a better everyday activities and the psychological stress can be reduces to leverage the social interaction. 2013-10-29 Non-Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/10849/1/282-A011.pdf http://dx.doi.org/10.7763/IJBBB.2013.V3.282 Qidwai, Uvais and Malik, Aamir Saeed and Shakir, Mohamed and Kamel, Nidal (2013) Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research. [Non-Citation Index Journal] http://eprints.utp.edu.my/10849/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
R Medicine (General)
T Technology (General)
spellingShingle Q Science (General)
R Medicine (General)
T Technology (General)
Qidwai, Uvais
Malik, Aamir Saeed
Shakir, Mohamed
Kamel, Nidal
Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
description Currently numerous theories and model have been developed to associate various findings or in relating EEG patterns to develop a software simulator. Here we develop a hardware simulator of the EEG model or to simulator any EEG data set in either .edf or .tdmsot .txtformat from any patient or database depository. The proposed hardware simulator will enhance researchers and hardware validators to simulate, validate and test their detection algorithms forehand, before actual testing the algorithm in the actual standalone hardware. This system make use of signal generator block and then pass this data to the external hardware data acquisition system like the NI-DAQ with an external option to transfer the data wirelessly(Bluetooth, Zigbee, Wi-Fi) or wired (analog port, serial bus etc). This simulator can simulate or generate seizure, pre-seizure and normal EEG waveform. The paired cost effective Arduino microcontroller (in case of wireless system) will be having the algorithm in built in order to classify the type of signal received. This can help in developing wearable EEG Seizure monitoring system(WBAN-HL7). Thispaper will enhance the purpose of developing a system which can alert locally in a form of wearable gadget, whenever a pre-seizure occurs. This can help the epileptic patient or the user to take precautionary action to save themselves from accidents or injury, just before the occurrence of the seizure. Useable of this embedded wearable version can ensure a better everyday activities and the psychological stress can be reduces to leverage the social interaction.
format Non-Citation Index Journal
author Qidwai, Uvais
Malik, Aamir Saeed
Shakir, Mohamed
Kamel, Nidal
author_facet Qidwai, Uvais
Malik, Aamir Saeed
Shakir, Mohamed
Kamel, Nidal
author_sort Qidwai, Uvais
title Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
title_short Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
title_full Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
title_fullStr Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
title_full_unstemmed Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
title_sort hardware simulator for seizure, preseizure and normal mode signal generation in labview environment for research
publishDate 2013
url http://eprints.utp.edu.my/10849/1/282-A011.pdf
http://dx.doi.org/10.7763/IJBBB.2013.V3.282
http://eprints.utp.edu.my/10849/
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