{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T08:57:50Z","timestamp":1754557070189},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"08","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2009,12]]},"abstract":"<jats:p> In neuroscience, phase is assumed to contain more important information about the neural activity than amplitude. However, the most exploited feature in electroencephalogram (EEG) based brain computer interface (BCI) is the amplitude change, phase has been largely ignored, and only phase locking values (PLV) has been introduced in EEG classification recently. In this paper, we define phase interval value (PIV) to explore the phase information of EEG from a new perspective and propose a computational model based on the ordered Parallel Factors (PARAFAC) algorithm to extract feature from multi-way PIV data for single trial EEG classification. Application to the motor imagery task demonstrates that PIV is quite effective for EEG classification, providing significant and discriminative features in spatial and spectral dimension. PIV might become an important new tool in the analysis of EEG phase characteristic, and has the great potential use in BCI. <\/jats:p>","DOI":"10.1142\/s0218126609005861","type":"journal-article","created":{"date-parts":[[2009,11,30]],"date-time":"2009-11-30T09:34:31Z","timestamp":1259573671000},"page":"1441-1452","source":"Crossref","is-referenced-by-count":7,"title":["PHASE INTERVAL VALUE ANALYSIS FOR THE MOTOR IMAGERY TASK IN BCI"],"prefix":"10.1142","volume":"18","author":[{"given":"JIE","family":"LI","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China"}]},{"given":"LIQING","family":"ZHANG","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827086"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(02)00057-3"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1109\/TRE.2000.847807"},{"key":"rf5","first-page":"R1","volume":"40","author":"Lotte F.","journal-title":"J. Neural Eng."},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1109\/86.895946"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.826691"},{"key":"rf11","first-page":"391","volume":"397","author":"Rodriguez E.","journal-title":"Nature"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1038\/35067550"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3940(01)02133-4"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1016\/S0920-1211(03)00002-0"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0270(03)00090-6"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2004.838443"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.08.005"},{"key":"rf21","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TNSRE.2008.2008394","volume":"17","author":"Li J.","journal-title":"IEEE Trans. Neural Syst. Rehab. Eng."},{"key":"rf22","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3940(97)00889-6"},{"key":"rf23","first-page":"1","volume":"16","author":"Harshman R. A.","journal-title":"UCLA Work Pap. Phon."}],"container-title":["Journal of Circuits, Systems and Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218126609005861","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T18:08:01Z","timestamp":1565201281000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218126609005861"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,12]]},"references-count":17,"journal-issue":{"issue":"08","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2009,12]]}},"alternative-id":["10.1142\/S0218126609005861"],"URL":"https:\/\/doi.org\/10.1142\/s0218126609005861","relation":{},"ISSN":["0218-1266","1793-6454"],"issn-type":[{"value":"0218-1266","type":"print"},{"value":"1793-6454","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,12]]}}}