{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T09:29:02Z","timestamp":1769851742083,"version":"3.49.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319041285","type":"print"},{"value":"9783319041292","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-04129-2_17","type":"book-chapter","created":{"date-parts":[[2013,12,19]],"date-time":"2013-12-19T14:27:34Z","timestamp":1387463254000},"page":"163-173","source":"Crossref","is-referenced-by-count":20,"title":["EEG Complexity Modifications and Altered Compressibility in Mild Cognitive Impairment and Alzheimer\u2019s Disease"],"prefix":"10.1007","author":[{"given":"Domenico","family":"Labate","sequence":"first","affiliation":[]},{"given":"Fabio","family":"La Foresta","sequence":"additional","affiliation":[]},{"given":"Isabella","family":"Palamara","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Morabito","sequence":"additional","affiliation":[]},{"given":"Alessia","family":"Bramanti","sequence":"additional","affiliation":[]},{"given":"Zhilin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Francesco C.","family":"Morabito","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"17_CR1","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1016\/j.jalz.2011.09.172","volume":"8","author":"M.W. Weiner","year":"2012","unstructured":"Weiner, M.W., et al.: The Alzheimer\u2019s Disease Neuroimaging Iniziative: A review. Alzheimer\u2019s & Dementia\u00a08, S1\u2013S68 (2012)","journal-title":"Alzheimer\u2019s & Dementia"},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"1490","DOI":"10.1016\/j.clinph.2004.01.001","volume":"115","author":"J. Jeong","year":"2004","unstructured":"Jeong, J.: EEG Dynamics in patients with Alzheimer\u2019s disease. Clinical Neurophysiology\u00a0115, 1490\u20131505 (2004)","journal-title":"Clinical Neurophysiology"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"174102","DOI":"10.1103\/PhysRevLett.88.174102","volume":"88","author":"C. Bandt","year":"2002","unstructured":"Bandt, C., Pompe, B.: Permutation entropy - a natural complexity measure for time series. Physical Review Lett.\u00a088, 174102 (2002)","journal-title":"Physical Review Lett."},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Dauwels, J., Srinivasan, K., et al.: Slowing and loss of complexity in Alzheimer\u2019s EEG: two sides of the same coin? Intl. J. of Alzheimer\u2019s Disease (2011)","DOI":"10.4061\/2011\/539621"},{"issue":"9","key":"17_CR5","doi-asserted-by":"publisher","first-page":"3284","DOI":"10.1109\/JSEN.2013.2271735","volume":"13","author":"D. Labate","year":"2013","unstructured":"Labate, D., La Foresta, F., Morabito, G., Palamara, I., Morabito, F.C.: Entropic Measures of EEG Complexity in Alzheimer\u2019s Disease through a Multivariate Multiscale Approach. IEEE Sensors Journal\u00a013(9), 3284\u20133292 (2013)","journal-title":"IEEE Sensors Journal"},{"issue":"9","key":"17_CR6","doi-asserted-by":"publisher","first-page":"3255","DOI":"10.1109\/JSEN.2013.2263794","volume":"13","author":"F.C. Morabito","year":"2013","unstructured":"Morabito, F.C., Labate, D., Bramanti, A., La Foresta, F., Morabito, G., Palamara, I., Szu, H.H.: Enhanced Compressibility of EEG Signal in Alzheimer\u2019s Disease Patients. IEEE Sensors Journal\u00a013(9), 3255\u20133262 (2013)","journal-title":"IEEE Sensors Journal"},{"issue":"1","key":"17_CR7","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TBME.2012.2217959","volume":"60","author":"Z. Zhang","year":"2013","unstructured":"Zhang, Z., Jung, T.P., Makeig, S., Rao, B.D.: Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware. IEEE Trans. Biomed. Eng.\u00a060(1), 221\u2013224 (2013)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"2","key":"17_CR8","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/MSP.2007.914729","volume":"25","author":"E.J. Cands","year":"2008","unstructured":"Cands, E.J., Wakin, M.B.: An introduction to compressive sensing. IEEE Signal Processing Magazine\u00a025(2), 14\u201320 (2008)","journal-title":"IEEE Signal Processing Magazine"},{"issue":"4","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D. Donoho","year":"2006","unstructured":"Donoho, D.: Compressed sensing. IEEE Trans. Inform Theory\u00a052(4), 1289\u20131306 (2006)","journal-title":"IEEE Trans. Inform Theory"},{"issue":"8","key":"17_CR10","doi-asserted-by":"publisher","first-page":"2009","DOI":"10.1109\/TSP.2013.2241055","volume":"61","author":"Z. Zhang","year":"2013","unstructured":"Zhang, Z., Rao, B.D.: Extension of SBL algorithms for the recovery of block sparse signals with intra-block correlation. IEEE Trans. on Signal Processing\u00a061(8), 2009\u20132015 (2013)","journal-title":"IEEE Trans. on Signal Processing"},{"key":"17_CR11","first-page":"211","volume":"1","author":"M. Tipping","year":"2001","unstructured":"Tipping, M.: Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research\u00a01, 211\u2013244 (2001)","journal-title":"Journal of Machine Learning Research"},{"issue":"7","key":"17_CR12","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.3390\/e14071186","volume":"14","author":"F.C. Morabito","year":"2012","unstructured":"Morabito, F.C., Labate, D., La Foresta, F., Bramanti, A., Morabito, G., Palamara, I.: Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer\u2019s Disease EEG. Entropy\u00a014(7), 1186\u20131202 (2012)","journal-title":"Entropy"},{"key":"17_CR13","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.physa.2005.05.022","volume":"356","author":"K. Keller","year":"2005","unstructured":"Keller, K., Sinn, K.: Ordinal analysis of time series. Physica A\u00a0356, 114\u2013120 (2005)","journal-title":"Physica A"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Szu, H., et al.: Smartphone household wireless electroencephalogram hat. Applied Computational Intelligence and Soft Computing, ID 241489 (2013)","DOI":"10.1155\/2013\/241489"},{"issue":"3","key":"17_CR15","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1109\/JSEN.2011.2115236","volume":"12","author":"N. Mammone","year":"2012","unstructured":"Mammone, N., La Foresta, F., Morabito, F.C.: Automatic artifact rejection from multichannel scalp by EEG by wavelet ICA. IEEE Sensors Journal\u00a012(3), 533\u2013542 (2012)","journal-title":"IEEE Sensors Journal"},{"issue":"1","key":"17_CR16","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/MSP.2008.930649","volume":"26","author":"Z. Wang","year":"2009","unstructured":"Wang, Z., Bovik, A.: Mean squared error: Love it or leave it? a new look at signal fidelity measures. IEEE Signal Processing Magazine\u00a026(1), 98\u2013117 (2009)","journal-title":"IEEE Signal Processing Magazine"}],"container-title":["Smart Innovation, Systems and Technologies","Recent Advances of Neural Network Models and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-04129-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,25]],"date-time":"2019-05-25T17:33:53Z","timestamp":1558805633000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-04129-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319041285","9783319041292"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-04129-2_17","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"value":"2190-3018","type":"print"},{"value":"2190-3026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}