{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T08:27:03Z","timestamp":1750667223028},"reference-count":27,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p>Speech imagery is one form of mental imagery which refers to the imagining of speaking a word to oneself silently in the mind without any articulation movement. In this work, electroencephalography (EEG) signals were acquired while speaking and during the imagining of speaking consonant-vowel-consonant (CVC) words in multiple trials of different time frames. Relative powers were computed for each EEG frequency band. It has been observed that relative power of alpha and theta bands was dominant. Phase Locking Value (PLV), a functional brain connectivity parameter has been estimated to understand the phase synchronicity between two brain regions. PLV results show that the left hemispheric frontal and temporal electrodes has maximum phase lock in alpha and theta band during speech and speech imagery process. The combination of brain connectivity estimators and signal processing techniques will thus be a reliable framework for understanding the nature of speech imagery signals captured through EEG.<\/jats:p>","DOI":"10.4018\/ijssci.2018100104","type":"journal-article","created":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T13:07:03Z","timestamp":1550581623000},"page":"44-61","source":"Crossref","is-referenced-by-count":4,"title":["Effect of Power and Phase Synchronization in Multi-Trial Speech Imagery"],"prefix":"10.4018","volume":"10","author":[{"given":"Sandhya","family":"Chengaiyan","sequence":"first","affiliation":[{"name":"Centre for Healthcare  Technologies,Department of Biomedical Engineering, SSN College of Engineering, Chennai, India"}]},{"given":"Divya","family":"Balathayil","sequence":"additional","affiliation":[{"name":"Centre for Healthcare  Technologies,Department of Biomedical Engineering, SSN College of Engineering, Chennai, India"}]},{"given":"Kavitha","family":"Anandan","sequence":"additional","affiliation":[{"name":"Centre for Healthcare  Technologies,Department of Biomedical Engineering, SSN College of Engineering, Chennai, India"}]},{"given":"Christy Bobby","family":"Thomas","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, M.S.Ramaiah University of Applied Sciences, Bangalore, India"}]}],"member":"2432","reference":[{"key":"IJSSCI.2018100104-0","doi-asserted-by":"publisher","DOI":"10.4236\/jsip.2012.31006"},{"key":"IJSSCI.2018100104-1","doi-asserted-by":"publisher","DOI":"10.1016\/S0926-6410(00)00025-2"},{"key":"IJSSCI.2018100104-2","doi-asserted-by":"publisher","DOI":"10.4018\/IJCINI.2015100103"},{"key":"IJSSCI.2018100104-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"IJSSCI.2018100104-4","doi-asserted-by":"publisher","DOI":"10.1016\/S0911-6044(00)00021-X"},{"key":"IJSSCI.2018100104-5","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2011.0008"},{"key":"IJSSCI.2018100104-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2012.02.025"},{"key":"IJSSCI.2018100104-7","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2113"},{"key":"IJSSCI.2018100104-8","doi-asserted-by":"publisher","DOI":"10.1111\/1469-8986.3720163"},{"issue":"6503","key":"IJSSCI.2018100104-9","first-page":"289","article-title":"Image and brain: The resolution of the imagery debate.","volume":"372","author":"S. M.Kosslyn","year":"1994","journal-title":"Nature"},{"key":"IJSSCI.2018100104-10","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C"},{"key":"IJSSCI.2018100104-11","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0277(85)90021-6"},{"key":"IJSSCI.2018100104-12","unstructured":"NeuroSky. (2009). Brain wave signal (EEG) of NeuroSky, Inc. Publisher: NeuroSky Brain-Computer Interface Technologies. Retrieved from http:\/\/www.frontiernerds.com\/files\/neurosky-vs-medical-eeg.pdf"},{"key":"IJSSCI.2018100104-13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2010.07.015"},{"key":"IJSSCI.2018100104-14","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbr.2013.12.034"},{"key":"IJSSCI.2018100104-15","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2011.00237"},{"key":"IJSSCI.2018100104-16","first-page":"3074","article-title":"EEG signal analysis related to speech process through BCI device EMOTIV, FFT and statistical methods.","author":"D. A.Rojas","year":"2016","journal-title":"Journal of Engineering and Applied Sciences (Asian Research Publishing Network)"},{"key":"IJSSCI.2018100104-17","unstructured":"Saa, J. F. D., & Gutierrez, M. S. (2010, June). EEG signal classification using power spectral features and linear discriminant analysis: a brain computer interface application. In Eighth Latin American and Caribbean Conference for Engineering and Technology (pp. 1-7). Arequipa: LACCEI."},{"key":"IJSSCI.2018100104-18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2011.06.020"},{"key":"IJSSCI.2018100104-19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCI-CC.2015.7259410"},{"key":"IJSSCI.2018100104-20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2014.00141"},{"key":"IJSSCI.2018100104-21","doi-asserted-by":"publisher","DOI":"10.4018\/IJCINI.2017010105"},{"key":"IJSSCI.2018100104-22","first-page":"1","article-title":"Fundamental of EEG Measurement.","volume":"2","author":"M.Teplan","year":"2002","journal-title":"Measurement Science Review"},{"key":"IJSSCI.2018100104-23","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2012.00314"},{"issue":"6","key":"IJSSCI.2018100104-24","first-page":"1","article-title":"Spectral analysis of EEG signal for detection of alpha rhythm with open and closed eyes.","volume":"3","author":"S.Valipour","year":"2013","journal-title":"Int. J. Eng. Innovative Technol"},{"key":"IJSSCI.2018100104-25","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00723"},{"key":"IJSSCI.2018100104-26","doi-asserted-by":"publisher","DOI":"10.1186\/1744-9081-10-12"}],"container-title":["International Journal of Software Science and Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=223494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T08:19:02Z","timestamp":1651825142000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSSCI.2018100104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":27,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.4018\/ijssci.2018100104","relation":{},"ISSN":["1942-9045","1942-9037"],"issn-type":[{"value":"1942-9045","type":"print"},{"value":"1942-9037","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}