{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T10:24:46Z","timestamp":1710411886106},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2005,4,1]],"date-time":"2005-04-01T00:00:00Z","timestamp":1112313600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Med. Biol. Eng. Comput."],"published-print":{"date-parts":[[2005,4]]},"DOI":"10.1007\/bf02345962","type":"journal-article","created":{"date-parts":[[2006,3,15]],"date-time":"2006-03-15T11:47:22Z","timestamp":1142423242000},"page":"245-251","source":"Crossref","is-referenced-by-count":20,"title":["Extraction of gastric slow waves from electrogastrograms: Combining independent component analysis and adaptive signal enhancement"],"prefix":"10.1007","volume":"43","author":[{"given":"H.","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"BF02345962_CR1","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1001\/jama.1922.02640680020008","volume":"78","author":"W. C. Alvarez","year":"1922","unstructured":"Alvarez, W. C. (1922): \u2018The electrogastrogram, and what it shows\u2019,J. Am. Med. Assoc.,78, pp. 1116\u20131118","journal-title":"J. Am. Med. Assoc."},{"key":"BF02345962_CR2","unstructured":"Amari, S., Cichocki, A. andYang, H. H. (1996): \u2018A new learning algorithm for blind signal separation\u2019, in \u2018Advances in neural information processing systems 8\u2019 (MIT Press, 1996)"},{"key":"BF02345962_CR3","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","volume":"7","author":"T. J. Bell","year":"1995","unstructured":"Bell, T. J., andSejnowski, T. J. (1995): \u2018An information-maximization approach to blind separation, and blind deconvolution\u2019,Neural Comput.,7, pp. 1129\u20131159","journal-title":"Neural Comput."},{"key":"BF02345962_CR4","unstructured":"Cardoso, J.-F.: \u2018Jade for real-valued data\u2019, http:\/sig.enst.fr\/ cardoso\/guidesepsou.html."},{"key":"BF02345962_CR5","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.1109\/5.720250","volume":"90","author":"J.-F. Cardoso","year":"1998","unstructured":"Cardoso, J.-F. (1998): \u2018Blind signal separation: statistical principles\u2019,Proc. IEEE,90, pp. 2009\u20132026","journal-title":"Proc. IEEE"},{"key":"BF02345962_CR6","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1162\/089976699300016863","volume":"11","author":"J.-F. Cardoso","year":"1999","unstructured":"Cardoso, J.-F. (1999): \u2018High-order contrasts for independent component analysis\u2019,Neural Comput.,11, pp. 157\u2013192","journal-title":"Neural Comput."},{"key":"BF02345962_CR7","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/BF02442170","volume":"27","author":"J. D. Z. Chen","year":"1989","unstructured":"Chen, J. D. Z., Vandewalle, J., andSansen, W. (1989): \u2018Adaptive method for cancellation of respiration artifact in electrogastric measurements\u2019,Med. Biol. Eng. Comput.,27, pp. 57\u201363","journal-title":"Med. Biol. Eng. Comput."},{"key":"BF02345962_CR8","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/BF02441653","volume":"29","author":"J. D. Z. Chen","year":"1991","unstructured":"Chen, J. D. Z., andMcCallum, R. W. (1991): \u2018Electrogastrography: measurement, analysis and prospective application\u2019,Med. Biol. Eng. Comput.,29, pp. 339\u2013350","journal-title":"Med. Biol. Eng. Comput."},{"key":"BF02345962_CR9","first-page":"1324","volume":"88","author":"J. D. Z. Chen","year":"1993","unstructured":"Chen, J. D. Z., andMcCallum, R. W. (1993): \u2018Clinical application of electrogastrogram\u2019,Am. J. Gastroenterol.,88, pp. 1324\u20131336","journal-title":"Am. J. Gastroenterol."},{"key":"BF02345962_CR10","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/BF02368249","volume":"22","author":"J. D. Z. Chen","year":"1994","unstructured":"Chen, J. D. Z., andLin, Z. (1994): \u2018Comparison of adaptive filtering in time-, transform-, and frequency-domain: An electrogastrographic study\u2019,Ann. Biomed. Eng., 22, pp. 423\u2013431","journal-title":"Ann. Biomed. Eng."},{"key":"BF02345962_CR11","doi-asserted-by":"crossref","first-page":"G424","DOI":"10.1152\/ajpgi.1999.277.2.G424","volume":"40","author":"J. D. Z. Chen","year":"1999","unstructured":"Chen, J. D. Z., Zou, X., Lin, X., Ouyang, S., andLiang, J. (1999): \u2018Detection of gastric slow wave propagation from the cutaneous electrogastrogram\u2019,Gastrointest. Liver Physiol.,40, pp. G424-G430","journal-title":"Gastrointest. Liver Physiol."},{"key":"BF02345962_CR12","first-page":"53","volume":"29","author":"E. R. Ferrara","year":"1981","unstructured":"Ferrara, E. R., andWidrow, B. (1981): \u2018Multichannel adaptive filtering for signal enhancement\u2019,IEEE Acoust. Speech Signal Process,29, pp. 53\u201362","journal-title":"IEEE Acoust. Speech Signal Process"},{"key":"BF02345962_CR13","volume-title":"Adaptive filter theory","author":"S. Haykin","year":"2002","unstructured":"Haykin, S. (2002): \u2018Adaptive filter theory, 4th edn\u2019 (Prentice-Hall, Inc., Upper Saddle River, NJ, 2002)","edition":"4th edn"},{"key":"BF02345962_CR14","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","volume":"10","author":"A. Hyv\u00e4rinen","year":"1999","unstructured":"Hyv\u00e4rinen, A. (1999): \u2018Fast, and robust fixed-point algorithms for independent component analysis\u2019,IEEE Trans. Neural Netw.,10, pp. 626\u2013634","journal-title":"IEEE Trans. Neural Netw."},{"key":"BF02345962_CR15","unstructured":"Hyv\u00e4rinen, A. \u2018The fast ica matlab package\u2019.http:\/\/www.cis.hut.fi\/aapo."},{"key":"BF02345962_CR16","first-page":"94","volume":"2","author":"A. Hyv\u00e4rinen","year":"1999","unstructured":"Hyv\u00e4rinen, A. (1999): \u2018Survey on independent component analysis\u2019,Neural Comput. Surv.,2, pp. 94\u2013128","journal-title":"Neural Comput. Surv."},{"key":"BF02345962_CR17","doi-asserted-by":"crossref","unstructured":"Hyv\u00e4rinen, A., Karhunen, J., andOja, E. (2001): \u2018Independent component analysis\u2019 (John Wiley & Sons, 2001)","DOI":"10.1002\/0471221317"},{"key":"BF02345962_CR18","first-page":"1101","volume":"89","author":"T.-P. Jung","year":"2001","unstructured":"Jung, T.-P., Makeig, S., McKeown, M. J., Bell, A. J., Lee, T. W., andSejnowski, T. J. (2001): \u2018Imaging brain dynamics using independent component analysis\u2019,Proc. IEEE,89, pp. 1101\u2013122","journal-title":"Proc. IEEE"},{"key":"BF02345962_CR19","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1111\/j.1469-8986.1987.tb01862.x","volume":"24","author":"K. L. Koch","year":"1987","unstructured":"Koch, K. L., Stewart, W. R., Stern, R. M., andVasey, M. W. (1987): \u2018Electrogastrography: current issues in validation and methodology\u2019,Psychophysiology,24, pp. 55\u201364","journal-title":"Psychophysiology"},{"key":"BF02345962_CR20","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1007\/BF02441983","volume":"31","author":"B. Kothapalli","year":"1993","unstructured":"Kothapalli, B. (1993): \u2018Electrogastrogram simulation using a threedimensional model\u2019,Med. Biol. Eng. Comput.,31, pp. 482\u2013486","journal-title":"Med. Biol. Eng. Comput."},{"key":"BF02345962_CR21","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2851-4","volume-title":"Independent component analysis: theory and applications","author":"T.-W. Lee","year":"1998","unstructured":"Lee, T.-W. (1998): \u2018Independent component analysis: theory and applications\u2019 (Kluwer Academic Publishers, Boston, MA, 1998)"},{"key":"BF02345962_CR22","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1162\/089976699300016719","volume":"11","author":"T.-W. Lee","year":"1999","unstructured":"Lee, T.-W., Girolami, M., andSejnowski, T. J. (1999): \u2018Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources\u2019,Neural Comput.,11, pp. 417\u2013441","journal-title":"Neural Comput."},{"key":"BF02345962_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0898-1221(00)00101-2","volume":"31","author":"T.-W. Lee","year":"2000","unstructured":"Lee, T.-W., Bell, A. J., Girolami, M., andSejnowski, T. J. (2000): \u2018A unifying information-theoretic framework for independent component analysis\u2019,Comput. Math. Appl.,31, pp. 1\u201321","journal-title":"Comput. Math. Appl."},{"key":"BF02345962_CR24","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/S1350-4533(01)00019-4","volume":"23","author":"H. Liang","year":"2001","unstructured":"Liang, H. (2001): \u2018Adaptive independent component analysis of multichannel electrogastrograms\u2019,Med. Eng. Phys.,23, pp. 91\u201397","journal-title":"Med. Eng. Phys."},{"key":"BF02345962_CR25","first-page":"9","volume":"16","author":"H. Liang","year":"2004","unstructured":"Liang, H., Yin, F., Lin, Z., andMcCallum, R. W. (2004): \u2018A combined method for extraction of gastric slow waves from multichannel electrogastrograms\u2019,Neurogastroenterol. Motil.,16, p. 9.","journal-title":"Neurogastroenterol. Motil."},{"key":"BF02345962_CR26","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1023\/A:1018869300296","volume":"42","author":"J. Liang","year":"1997","unstructured":"Liang, J., andChen, J. D. Z. (1997): \u2018What can be measured from surface electrogastrography\u2019,Dig. Dis. Sci.,42, pp. 1331\u20131343","journal-title":"Dig. Dis. Sci."},{"key":"BF02345962_CR27","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/BF02512529","volume":"32","author":"Z. Lin","year":"1994","unstructured":"Lin, Z., andChen, J. D. Z. (1994): \u2018Recursive running dct algorithm and its application in adaptive filtering of surface electrical recording of small intestine\u2019,Med. Biol. Eng. Comput.,32, pp. 317\u2013322","journal-title":"Med. Biol. Eng. Comput."},{"key":"BF02345962_CR28","unstructured":"Lin, Z., Liang, H., andMcCallum, R. W. (2000): \u2018Combined methods for recovery of gastric slow waves from multichannel electrogastriograms\u2019,Proc. 22nd Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., pp. 1345\u20131348"},{"key":"BF02345962_CR29","unstructured":"Lu, W., andRajapakse, J. C. (2001): \u2018ICA with reference\u2019,Proc. Third Int. Conf. on ICA and Blind Source Separation, pp. 120\u2013125"},{"key":"BF02345962_CR30","unstructured":"Makeig, S.: Ica\/eeg toolbox. computational neurobiology laboratory, the salk institute.http:\/\/www.cnl.salk.edu\/tewon\/ica_cnl.html."},{"key":"BF02345962_CR31","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/0016-5085(93)90334-9","volume":"104","author":"M. P. Mintchev","year":"1993","unstructured":"Mintchev, M. P., Kingma, Y. J., andBowes, K. L. (1993): \u2018Accuracy of cutaneous recordings of gastric electrical activity\u2019,Gastroenterology,104, pp. 1273\u20131280","journal-title":"Gastroenterology"},{"key":"BF02345962_CR32","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1109\/TASSP.1983.1164121","volume":"31","author":"S. S. Narayan","year":"1983","unstructured":"Narayan, S. S., Peterson, A. M., andNarasimha, M. J. (1983): \u2018Transform domain lms algorithm\u2019,IEEE Trans Acoust. Speech Signal Process,31, pp. 609\u2013614","journal-title":"IEEE Trans Acoust. Speech Signal Process"},{"key":"BF02345962_CR33","unstructured":"Ohata, M., Matsuomoto, T., Shigematsu, A., andMatsuoka, K. (2003): \u2018Independent component analysis of electrogastrogram data\u2019,Proc. 4th Int. Symposium on ICA and Blind Signal Separation, Nara, Japan, pp. 53\u201358"},{"key":"BF02345962_CR34","volume-title":"Digital signal processing","author":"A. Oppenhem","year":"1975","unstructured":"Oppenhem, A., andSchafer, R. (1975): \u2018Digital signal processing\u2019 (Prentice-Hall, New Jersey, 1975)"},{"key":"BF02345962_CR35","unstructured":"Pearlmutter, B. A., andParra, L. C. (1996): \u2018A context-sensitive generalization of ica\u2019,Proc. ICONIP, pp. 151\u2013157"},{"key":"BF02345962_CR36","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1016\/S0016-5085(75)80157-0","volume":"68","author":"S. K. Sarna","year":"1975","unstructured":"Sarna, S. K. (1975): \u2018Gastrointestinal electrical activity: Terminology\u2019,Gastroenterology,68, pp. 1631\u20131635","journal-title":"Gastroenterology"},{"key":"BF02345962_CR37","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/TASSP.1979.1163200","volume":"27","author":"J. R. Treichler","year":"1979","unstructured":"Treichler, J. R. (1979): \u2018Transient and convergent behavior of the adaptive line enhancer\u2019,IEEE Trans. Acoust. Speech Signal Process.,27, pp. 53\u201362","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"BF02345962_CR38","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1053\/gast.1999.0029900453","volume":"117","author":"M. A. M. T. Verhagen","year":"1999","unstructured":"Verhagen, M. A. M. T., Samsom, M., Schelven, L. J. V., andSmout, A. J. P. M. (1999): \u2018Pitfalls in the analysis of electrogastrographic recordings\u2019,Gastroenterology,117, pp. 453\u2013460","journal-title":"Gastroenterology"},{"key":"BF02345962_CR39","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/BF02513270","volume":"37","author":"Z. S. Wang","year":"1999","unstructured":"Wang, Z. S., Cheung, J. Y., andChen, J. D. Z. (1999): \u2018Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network\u2019,Med. Biol. Eng. Comput.,37, pp. 80\u201386","journal-title":"Med. Biol. Eng. Comput."},{"key":"BF02345962_CR40","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/4233.924803","volume":"5","author":"Z. S. Wang","year":"2001","unstructured":"Wang, Z. S., andChen, J. D. Z. (2001): \u2018Blind separation of slow waves and spikes from gastrointestinal myo-electrical recordings\u2019,IEEE Trans. Inform. Technol. Biomed.,5, pp. 133\u2013137","journal-title":"IEEE Trans. Inform. Technol. Biomed."},{"key":"BF02345962_CR41","doi-asserted-by":"crossref","first-page":"1692","DOI":"10.1109\/PROC.1975.10036","volume":"63","author":"B. Widrow","year":"1975","unstructured":"Widrow, B., Glover, J. R., Mccool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Dong, E., andGoodlin, R. C. (1975): \u2018Adaptive noise canceling: principles and applications\u2019,Proc. IEEE,63, pp. 1692\u20131716","journal-title":"Proc. IEEE"},{"key":"BF02345962_CR42","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1109\/5.60921","volume":"78","author":"J. R. Zeidler","year":"1990","unstructured":"Zeidler, J. R. (1990): \u2018Performance analysis of lms adaptive prediction filters\u2019,Proc. IEEE,78, pp. 1781\u20131806","journal-title":"Proc. IEEE"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF02345962.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/BF02345962\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF02345962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,13]],"date-time":"2020-04-13T06:09:09Z","timestamp":1586758149000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/BF02345962"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,4]]},"references-count":42,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2005,4]]}},"alternative-id":["BF02345962"],"URL":"https:\/\/doi.org\/10.1007\/bf02345962","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,4]]}}}