{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:11:29Z","timestamp":1743023489704,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030018504"},{"type":"electronic","value":"9783030018511"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01851-1_3","type":"book-chapter","created":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T17:32:37Z","timestamp":1538847157000},"page":"24-31","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation"],"prefix":"10.1007","author":[{"given":"Mariusz","family":"Kle\u0107","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,7]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.compbiomed.2017.08.022","volume":"89","author":"UR Acharya","year":"2017","unstructured":"Acharya, U.R., et al.: A deep convolutional neural network model to classify heartbeats. Comput. Biol. Med. 89, 389\u2013396 (2017)","journal-title":"Comput. Biol. Med."},{"issue":"5","key":"3_CR2","doi-asserted-by":"publisher","first-page":"R155","DOI":"10.1088\/0967-3334\/26\/5\/R01","volume":"26","author":"PS Addison","year":"2005","unstructured":"Addison, P.S.: Wavelet transforms and the ECG: a review. Physiol. Measur. 26(5), R155 (2005)","journal-title":"Physiol. Measur."},{"issue":"16","key":"3_CR3","doi-asserted-by":"publisher","first-page":"4114","DOI":"10.1109\/TSP.2014.2326991","volume":"62","author":"J And\u00e9n","year":"2014","unstructured":"And\u00e9n, J., Mallat, S.: Deep scattering spectrum. IEEE Trans. Signal Proces. 62(16), 4114\u20134128 (2014)","journal-title":"IEEE Trans. Signal Proces."},{"unstructured":"Bentley, P., Nordehn, G., Coimbra, M., Mannor, S.: The PASCAL Classifying Heart Sounds Challenge 2011 (CHSC2011) Results (2011). http:\/\/www.peterjbentley.com\/heartchallenge\/index.html","key":"3_CR4"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.future.2016.01.010","volume":"60","author":"SW Deng","year":"2016","unstructured":"Deng, S.W., Han, J.Q.: Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps. Future Gener. Comput. Syst. 60, 13\u201321 (2016)","journal-title":"Future Gener. Comput. Syst."},{"issue":"2\u20133","key":"3_CR6","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/S0169-2607(00)00133-4","volume":"66","author":"Z Dokur","year":"2001","unstructured":"Dokur, Z., \u00d6lmez, T.: ECG beat classification by a novel hybrid neural network. Comput. Methods Programs Biomed. 66(2\u20133), 167\u2013181 (2001)","journal-title":"Comput. Methods Programs Biomed."},{"unstructured":"AAMI\/ANSI EC57: Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. Association for the Advancement of Medical Instrumentation, Arlington (1998)","key":"3_CR7"},{"issue":"2","key":"3_CR8","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.patcog.2004.06.009","volume":"38","author":"\u0130 G\u00fcler","year":"2005","unstructured":"G\u00fcler, \u0130., \u00dcbeyl\u0131, E.D.: ECG beat classifier designed by combined neural network model. Pattern Recognit. 38(2), 199\u2013208 (2005)","journal-title":"Pattern Recognit."},{"unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)","key":"3_CR9"},{"issue":"3","key":"3_CR10","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.cmpb.2011.10.002","volume":"105","author":"Y Kutlu","year":"2012","unstructured":"Kutlu, Y., Kuntalp, D.: Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. Comput. Methods Programs Biomed. 105(3), 257\u2013267 (2012)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"4","key":"3_CR11","doi-asserted-by":"publisher","first-page":"2601","DOI":"10.1016\/j.eswa.2007.05.008","volume":"34","author":"CH Lin","year":"2008","unstructured":"Lin, C.H., Du, Y.C., Chen, T.: Adaptive wavelet network for multiple cardiac arrhythmias recognition. Expert Syst. Appl. 34(4), 2601\u20132611 (2008)","journal-title":"Expert Syst. Appl."},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.cmpb.2015.12.008","volume":"127","author":"Eduardo Jos\u00e9 da S. Luz","year":"2016","unstructured":"Luz, E.J.d.S., Schwartz, W.R., C\u00e1mara-Ch\u00e1vez, G., Menotti, D.: ECG-based heartbeat classification for arrhythmia detection: a survey. Comput. Methods Programs Biomed. 127, 144\u2013164 (2016)","journal-title":"Computer Methods and Programs in Biomedicine"},{"issue":"10","key":"3_CR13","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1002\/cpa.21413","volume":"65","author":"S Mallat","year":"2012","unstructured":"Mallat, S.: Group invariant scattering. Commun. Pure Appl. Math. 65(10), 1331\u20131398 (2012)","journal-title":"Commun. Pure Appl. Math."},{"doi-asserted-by":"crossref","unstructured":"Pourbabaee, B., Roshtkhari, M.J., Khorasani, K.: Deep convolutional neural networks and learning ECG features for screening paroxysmal atrial fibrillation patients. IEEE Trans. Syst. Man Cybern. Syst. 99, 1\u201310 (2017)","key":"3_CR14","DOI":"10.1109\/IJCNN.2016.7727866"},{"key":"3_CR15","first-page":"012004","volume":"913","author":"B Pyakillya","year":"2017","unstructured":"Pyakillya, B., Kazachenko, N., Mikhailovsky, N.: Deep learning for ECG classification. J. Phys. Conf. Ser. 913, 012004 (2017)","journal-title":"Journal of Physics: Conference Series"},{"unstructured":"Rajpurkar, P., Hannun, A.Y., Haghpanahi, M., Bourn, C., Ng, A.Y.: Cardiologist-level arrhythmia detection with convolutional neural networks. arXiv preprint arXiv:1707.01836 (2017)","key":"3_CR16"},{"unstructured":"Rubin, J., Abreu, R., Ganguli, A., Nelaturi, S., Matei, I., Sricharan, K.: Recognizing abnormal heart sounds using deep learning. arXiv preprint arXiv:1707.04642 (2017)","key":"3_CR17"},{"issue":"4","key":"3_CR18","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/s12553-015-0098-y","volume":"4","author":"Hugo Pl\u00e1cido da Silva","year":"2015","unstructured":"da Silva, H.P., Carreiras, C., Louren\u00e7o, A., Fred, A., das Neves, R.C., Ferreira, R.: Off-the-person electrocardiography: performance assessment and clinical correlation. Health Technol. 4(4), 309\u2013318 (2015)","journal-title":"Health and Technology"},{"issue":"1","key":"3_CR19","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/1475-925X-10-13","volume":"10","author":"S Yuenyong","year":"2011","unstructured":"Yuenyong, S., Nishihara, A., Kongprawechnon, W., Tungpimolrut, K.: A framework for automatic heart sound analysis without segmentation. Biomed. Eng. Online 10(1), 13 (2011)","journal-title":"Biomed. Eng. Online"},{"key":"3_CR20","first-page":"1","volume":"44","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Han, J.: Towards heart sound classification without segmentation using convolutional neural network. Computing 44, 1 (2017)","journal-title":"Computing"},{"key":"3_CR21","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.bspc.2016.10.004","volume":"32","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Han, J., Deng, S.: Heart sound classification based on scaled spectrogram and partial least squares regression. Biomed. Signal Process. Control 32, 20\u201328 (2017)","journal-title":"Biomed. Signal Process. Control"},{"key":"3_CR22","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.eswa.2017.05.014","volume":"84","author":"W Zhang","year":"2017","unstructured":"Zhang, W., Han, J., Deng, S.: Heart sound classification based on scaled spectrogram and tensor decomposition. Expert Syst. Appl. 84, 220\u2013231 (2017)","journal-title":"Expert Syst. Appl."}],"container-title":["Lecture Notes in Computer Science","Foundations of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01851-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T14:57:34Z","timestamp":1709823454000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01851-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030018504","9783030018511"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01851-1_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"7 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISMIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Methodologies for Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ismis2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cyprusconferences.org\/ismis2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}