Cargando…
A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications
Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of scientific studies and applications. Inadequately, many commercial devices that are available and used worldwide for EEG monitoring are expensive that costs up to thousands of dollars. Over the past few years,...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150628/ https://www.ncbi.nlm.nih.gov/pubmed/35669180 http://dx.doi.org/10.1007/s11277-022-09731-w |
_version_ | 1784717419873304576 |
---|---|
author | Ali, Ahmed Afridi, Riaz Soomro, Toufique A. Khan, Saeed Ahmed Khan, Muhammad Yousaf Ali Chowdhry, Bhawani Shankar |
author_facet | Ali, Ahmed Afridi, Riaz Soomro, Toufique A. Khan, Saeed Ahmed Khan, Muhammad Yousaf Ali Chowdhry, Bhawani Shankar |
author_sort | Ali, Ahmed |
collection | PubMed |
description | Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of scientific studies and applications. Inadequately, many commercial devices that are available and used worldwide for EEG monitoring are expensive that costs up to thousands of dollars. Over the past few years, because of advancements in technology, different cost-effective EEG recording devices have been made. One such device is a non-invasive single electrode commercial EEG headset called MindWave 002 (MW2), created by NeuroSky Inc that cost less than 100 USD. This work contributes in four distinct ways, first, how mental states such as a focused and relaxed can be identified based on EEG signals recorded by inexpensive MW2 is demonstrated for accurate information extraction. Second, MW2 is considered because apart from cost, the user's comfort level is enhanced due to non-invasive operation, low power consumption, portable small size, and a minimal number of detecting locations of MW2. Third, 2 situations were created to stimulate focus and relaxation states. Prior to analysis, the acquired brain signals were pre-processed to discard artefacts and noise, and band-pass filtering was performed for delta, theta, alpha, beta, and gamma wave extraction. Fourth, analysis of the shapes and nature of extracted waves was performed with power spectral density (PSD), mean amplitude values, and other parameters in LabVIEW. Finally, with comprehensive experiments, the mean values of the focused and relaxed signal EEG signals were found to be 30.23 µV and 15.330 µV respectively. Similarly, average PSD values showed an increase in theta wave value and a decrease in beta wave value related to the focus and relaxed state, respectively. We also analyzed the involuntary and intentional number of blinks recorded by the MW2 device. Our study can be used to check mental health wellness and could provide psychological treatment effects by training the mind to quickly enter a relaxed state and improve the person's ability to focus. In addition, this study can open new avenues for neurofeedback and brain control applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11277-022-09731-w. |
format | Online Article Text |
id | pubmed-9150628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-91506282022-06-02 A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications Ali, Ahmed Afridi, Riaz Soomro, Toufique A. Khan, Saeed Ahmed Khan, Muhammad Yousaf Ali Chowdhry, Bhawani Shankar Wirel Pers Commun Article Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of scientific studies and applications. Inadequately, many commercial devices that are available and used worldwide for EEG monitoring are expensive that costs up to thousands of dollars. Over the past few years, because of advancements in technology, different cost-effective EEG recording devices have been made. One such device is a non-invasive single electrode commercial EEG headset called MindWave 002 (MW2), created by NeuroSky Inc that cost less than 100 USD. This work contributes in four distinct ways, first, how mental states such as a focused and relaxed can be identified based on EEG signals recorded by inexpensive MW2 is demonstrated for accurate information extraction. Second, MW2 is considered because apart from cost, the user's comfort level is enhanced due to non-invasive operation, low power consumption, portable small size, and a minimal number of detecting locations of MW2. Third, 2 situations were created to stimulate focus and relaxation states. Prior to analysis, the acquired brain signals were pre-processed to discard artefacts and noise, and band-pass filtering was performed for delta, theta, alpha, beta, and gamma wave extraction. Fourth, analysis of the shapes and nature of extracted waves was performed with power spectral density (PSD), mean amplitude values, and other parameters in LabVIEW. Finally, with comprehensive experiments, the mean values of the focused and relaxed signal EEG signals were found to be 30.23 µV and 15.330 µV respectively. Similarly, average PSD values showed an increase in theta wave value and a decrease in beta wave value related to the focus and relaxed state, respectively. We also analyzed the involuntary and intentional number of blinks recorded by the MW2 device. Our study can be used to check mental health wellness and could provide psychological treatment effects by training the mind to quickly enter a relaxed state and improve the person's ability to focus. In addition, this study can open new avenues for neurofeedback and brain control applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11277-022-09731-w. Springer US 2022-05-30 2022 /pmc/articles/PMC9150628/ /pubmed/35669180 http://dx.doi.org/10.1007/s11277-022-09731-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ali, Ahmed Afridi, Riaz Soomro, Toufique A. Khan, Saeed Ahmed Khan, Muhammad Yousaf Ali Chowdhry, Bhawani Shankar A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title | A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title_full | A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title_fullStr | A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title_full_unstemmed | A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title_short | A Single-Channel Wireless EEG Headset Enabled Neural Activities Analysis for Mental Healthcare Applications |
title_sort | single-channel wireless eeg headset enabled neural activities analysis for mental healthcare applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150628/ https://www.ncbi.nlm.nih.gov/pubmed/35669180 http://dx.doi.org/10.1007/s11277-022-09731-w |
work_keys_str_mv | AT aliahmed asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT afridiriaz asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT soomrotoufiquea asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT khansaeedahmed asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT khanmuhammadyousafali asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT chowdhrybhawanishankar asinglechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT aliahmed singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT afridiriaz singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT soomrotoufiquea singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT khansaeedahmed singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT khanmuhammadyousafali singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications AT chowdhrybhawanishankar singlechannelwirelesseegheadsetenabledneuralactivitiesanalysisformentalhealthcareapplications |