{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T23:07:25Z","timestamp":1787612845843,"version":"build-2736575974"},"reference-count":0,"publisher":"SAGE Publications","issue":"2_suppl","license":[{"start":{"date-parts":[[2015,3,1]],"date-time":"2015-03-01T00:00:00Z","timestamp":1425168000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/3.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technology and Health Care"],"published-print":{"date-parts":[[2015,3]]},"abstract":"<jats:p>BACKGROUND: Study of imagination offers a perfect setting for study of a large variety of states of consciousness.<\/jats:p>\n                  <jats:p>OBJECTIVE: Here, we studied the characteristics of two electroencephalographic (EEG) patterns evoked by two different imaginary tasks and evaluated the binary classification performance.<\/jats:p>\n                  <jats:p>\n                    METHODS: Fifteen individuals (11 male and 4 female, age range of 22 to 33) participated in five sessions of 32-channel EEG recordings. Only by analyzing the subjects' output EEG signals from the central parieto-occipital region of P\n                    <jats:sub>Z<\/jats:sub>\n                    electrode, under the circumstances of consciousness of relaxation-meditation or tension-imagination, we carried out the experiment of feature extraction for spontaneous EEG, as the subjects were blindfolded but asked to open their eyes all the same. The Hilbert-Huang Transform (HHT) was utilized to obtain the Hilbert time-frequency amplitude spectrum, and then with the feature vector set extracted, a two-class Fisher linear discriminant analysis classifier was trained for classification of data epochs of those two tasks.\n                  <\/jats:p>\n                  <jats:p>RESULTS: The overall result was that about 90% (\u00b1 5%) of the epochs could be correctly classified to their originating task.<\/jats:p>\n                  <jats:p>CONCLUSION: This study not only brings new opportunities for consciousness studies, but also provides a new classification paradigm for achieving control of robots based on the brain-computer interface (BCI).<\/jats:p>","DOI":"10.3233\/thc-150960","type":"journal-article","created":{"date-parts":[[2015,6,19]],"date-time":"2015-06-19T07:58:22Z","timestamp":1434700702000},"page":"S249-S262","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Psychophysiological classification and experiment study for spontaneous EEG based on two novel mental tasks"],"prefix":"10.1177","volume":"23","author":[{"given":"Hui","family":"Wang","sequence":"first","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiguo","family":"Song","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoguo","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangming","family":"Li","sequence":"additional","affiliation":[{"name":"Biorobotics Lab, Electrical Engineering Department, University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2015,3,1]]},"container-title":["Technology and Health Care"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/THC-150960","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/THC-150960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:37:45Z","timestamp":1777613865000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/THC-150960"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3]]},"references-count":0,"journal-issue":{"issue":"2_suppl","published-print":{"date-parts":[[2015,3]]}},"alternative-id":["10.3233\/THC-150960"],"URL":"https:\/\/doi.org\/10.3233\/thc-150960","relation":{},"ISSN":["0928-7329","1878-7401"],"issn-type":[{"value":"0928-7329","type":"print"},{"value":"1878-7401","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3]]}}}