{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:25:12Z","timestamp":1761863112870,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642318368"},{"type":"electronic","value":"9783642318375"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-31837-5_22","type":"book-chapter","created":{"date-parts":[[2012,7,5]],"date-time":"2012-07-05T02:48:56Z","timestamp":1341456536000},"page":"152-159","source":"Crossref","is-referenced-by-count":4,"title":["A New Adaptive Signal Segmentation Approach Based on Hiaguchi\u2019s Fractal Dimension"],"prefix":"10.1007","author":[{"given":"Hamed","family":"Azami","sequence":"first","affiliation":[]},{"given":"Alireza","family":"Khosravi","sequence":"additional","affiliation":[]},{"given":"Milad","family":"Malekzadeh","sequence":"additional","affiliation":[]},{"given":"Saeid","family":"Sanei","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"22_CR1","first-page":"27","volume":"34","author":"H. Azami","year":"2011","unstructured":"Azami, H., Sanei, S., Mohammadi, K.: A Novel Signal Segmentation Method Based on Standard Deviation and Variable Threshold. Journal of Computer Applications\u00a034(2), 27\u201334 (2011)","journal-title":"Journal of Computer Applications"},{"issue":"6","key":"22_CR2","first-page":"8","volume":"11","author":"H. Azami","year":"2011","unstructured":"Azami, H., Bozorgtabar, B., Shiroie, M.: Automatic signal segmentation using the fractal dimension and weighted moving average filter. Journal of Electrical & Computer science\u00a011(6), 8\u201315 (2011)","journal-title":"Journal of Electrical & Computer science"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Agarwal, R., Gotman, J.: Adaptive Segmentation of Electroencephalographic Data Using a Nonlinear Energy Operator. In: IEEE International Symposium on Circuits and Systems (ISCAS 1999), vol.\u00a04, pp. 199\u2013202 (1999)","DOI":"10.1109\/ISCAS.1999.779976"},{"key":"22_CR4","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1088\/0967-3334\/25\/4\/012","volume":"25","author":"H. Hassanpour","year":"2004","unstructured":"Hassanpour, H., Mesbah, M., Boashash, B.: Time-Frequency Based Newborn EEG Seizure Detection Using Low and High Frequency Signatures. Physiological Measurement\u00a025, 935\u2013944 (2004)","journal-title":"Physiological Measurement"},{"key":"22_CR5","first-page":"2544","volume":"16","author":"H. Hassanpour","year":"2004","unstructured":"Hassanpour, H., Mesbah, M., Boashash, B.: Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-based Techniques. EURASIP Journal on Applied Signal Processing\u00a016, 2544\u20132554 (2004)","journal-title":"EURASIP Journal on Applied Signal Processing"},{"key":"22_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/978-3-540-30547-7_33","volume-title":"Biological and Medical Data Analysis","author":"K. Kosar","year":"2004","unstructured":"Kosar, K., Lhotsk\u00e1, L., Krajca, V.: Classification of Long-Term EEG Recordings. In: Barreiro, J.M., Mart\u00edn-S\u00e1nchez, F., Maojo, V., Sanz, F. (eds.) ISBMDA 2004. LNCS, vol.\u00a03337, pp. 322\u2013332. Springer, Heidelberg (2004)"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Kirlangic, M.E., Perez, D., Kudryavtseva, S., Griessbach, G., Henning, G., Ivanova, G.: Fractal Dimension as a Feature for Adaptive Electroencephalogram Segmentation in Epilepsy. In: IEEE International EMBS Conference, vol.\u00a02, pp. 1573\u20131576 (2001)","DOI":"10.1109\/IEMBS.2001.1020511"},{"issue":"1","key":"22_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.4236\/jsip.2012.31006","volume":"3","author":"H. Azami","year":"2012","unstructured":"Azami, H., Mohammadi, K., Bozorgtabar, B.: An Improved Signal Segmentation Using Moving Average and Savitzky-Golay Filter. Journal of Signal and Information Processing\u00a03(1), 39\u201344 (2012)","journal-title":"Journal of Signal and Information Processing"},{"issue":"8","key":"22_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.5120\/3586-4967","volume":"29","author":"H. Azami","year":"2011","unstructured":"Azami, H., Mohammadi, K., Hassanpour, H.: An Improved Signal Segmentation Method Using Genetic Algorithm. Journal of Computer Applications\u00a029(8), 5\u20139 (2011)","journal-title":"Journal of Computer Applications"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Hassanpour, H., Shahiri, M.: Adaptive Segmentation Using Wavelet Transform. In: International Conference on Electrical Engineering, pp. 1\u20135 (April 2007)","DOI":"10.1109\/ICEE.2007.4287348"},{"issue":"3","key":"22_CR11","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1109\/LSP.2009.2037773","volume":"17","author":"J. Gao","year":"2010","unstructured":"Gao, J., Sultan, H., Hu, J., Tung, W.W.: Denoising Nonlinear Time Series by Adaptive Filtering and Wavelet Shrinkage: a Comparison. IEEE Signal Processing Letters\u00a017(3), 237\u2013240 (2010)","journal-title":"IEEE Signal Processing Letters"},{"issue":"1","key":"22_CR12","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jneumeth.2007.02.004","volume":"163","author":"W.Y. Hsu","year":"2007","unstructured":"Hsu, W.Y., Lin, C.C., Ju, M.S., Sun, Y.N.: Wavelet-Based Fractal Features with Active Segment Selection: Application to Single-Trial EEG Data. Elsevier Journal of Neuroscience Methods\u00a0163(1), 145\u2013160 (2007)","journal-title":"Elsevier Journal of Neuroscience Methods"},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-1-4419-5913-3_65","volume":"680","author":"K. Asaduzzaman","year":"2010","unstructured":"Asaduzzaman, K., Reaz, M.B.I., Mohd-Yasin, F., Sim, K.S., Hussain, M.S.: A Study on Discrete Wavelet-Based Noise Removal from EEG Signals. Journal of Advances in Experimental Medicine and Biology\u00a0680, 593\u2013599 (2010)","journal-title":"Journal of Advances in Experimental Medicine and Biology"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Estrada, E., Nazeran, H., Sierra, G., Ebrahimi, F., Setarehdan, S.K.: Wavelet-Based EEG Denoising for Automatic Sleep Stage Classification. In: International Conference on Electrical Communications and Computers (CONIELECOMP), pp. 295\u2013298 (2011)","DOI":"10.1109\/CONIELECOMP.2011.5749325"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Geetha, G., Geethalakshmi, S.N.: EEG De-noising Using Sure Thresholding Based on Wavelet Transforms. International Journal of Computer Applications\u00a024(6) (2011)","DOI":"10.5120\/2948-3935"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Easwaramoorthy, D., Uthayakumar, R.: Analysis of Biomedical EEG Signals Using Wavelet Transforms and Multifractal Analysis. In: IEEE International Conference on Communication Control and Computing Technologies (ICCCCT), pp. 545\u2013549 (2010)","DOI":"10.1109\/ICCCCT.2010.5670780"},{"issue":"3-4","key":"22_CR17","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/S0167-8655(01)00003-4","volume":"22","author":"Y. Tao","year":"2001","unstructured":"Tao, Y., Lam, E.C.M., Tang, Y.Y.: Feature Extraction Using Wavelet and Fractal. Elsevier Journal of Pattern Recognition\u00a022(3-4), 271\u2013287 (2001)","journal-title":"Elsevier Journal of Pattern Recognition"},{"issue":"3","key":"22_CR18","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1109\/TIE.2007.894699","volume":"54","author":"S. Rajagopalan","year":"2007","unstructured":"Rajagopalan, S., Aller, J.M., Restrepo, J.A., Habetler, T.G., Harley, R.G.: Analytic-Wavelet-Ridge-Based Detection of Dynamic Eccentricity in Brushless Direct Current (BLDC) Motors Functioning Under Dynamic Operating Conditions. IEEE Transaction on Industrial Electronics\u00a054(3), 1410\u20131419 (2007)","journal-title":"IEEE Transaction on Industrial Electronics"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Gunasekaran, S., Revathy, K.: Fractal Dimension Analysis of Audio Signals for Indian Musical Instrument Recognition. In: International Conference on Audio, Language and Image Processing (ICALIP), pp. 257\u2013261 (2008)","DOI":"10.1109\/ICALIP.2008.4590238"},{"issue":"1","key":"22_CR20","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.cmpb.2005.06.011","volume":"80","author":"U.R. Acharya","year":"2005","unstructured":"Acharya, U.R., Faust, O., Kannathal, N., Chua, T., Laxminarayan, S.: Non-Linear Analysis of EEG Signals at Various Sleep Stages. Computer Methods and Programs in Biomedicine\u00a080(1), 37\u201345 (2005)","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Esteller, R., Vachtsevanos, G., Echauz, J., Litt, B.: A Comparison of Fractal Dimension Algorithms Using Synthetic and Experimental Data. In: IEEE International Symposium on Circuits and Systems (ISCAS 1999), vol.\u00a03, pp. 199\u2013202 (1999)","DOI":"10.1109\/ISCAS.1999.778819"},{"issue":"2","key":"22_CR22","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1109\/81.904882","volume":"48","author":"R. Esteller","year":"2001","unstructured":"Esteller, R., Vachtsevanos, G., Echauz, J., Litt, B.: A Comparison of Waveform Fractal Dimension Algorithms. IEEE Transaction on Circuits and Systems\u00a048(2), 177\u2013183 (2001)","journal-title":"IEEE Transaction on Circuits and Systems"}],"container-title":["Communications in Computer and Information Science","Emerging Intelligent Computing Technology and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-31837-5_22.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T06:12:53Z","timestamp":1743660773000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-31837-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642318368","9783642318375"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-31837-5_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2012]]}}}