{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T16:20:49Z","timestamp":1726849249873},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T00:00:00Z","timestamp":1500249600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1007\/s11760-017-1146-z","type":"journal-article","created":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T14:49:44Z","timestamp":1500302984000},"page":"199-206","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":106,"title":["Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach"],"prefix":"10.1007","volume":"12","author":[{"given":"Lakhan Dev","family":"Sharma","sequence":"first","affiliation":[]},{"given":"Ramesh Kumar","family":"Sunkaria","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,17]]},"reference":[{"issue":"24","key":"1146_CR1","doi-asserted-by":"crossref","first-page":"E29","DOI":"10.1161\/CIR.0000000000000152","volume":"131","author":"D Mozaffarian","year":"2015","unstructured":"Mozaffarian, D., et al.: Heart disease and stroke statistics-2015 update: a report from the american heart association. Circulation 131(24), E29\u2013E322 (2015)","journal-title":"Circulation"},{"issue":"6","key":"1146_CR2","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1161\/01.CIR.97.6.596","volume":"97","author":"KS Reddy","year":"1998","unstructured":"Reddy, K.S., Yusuf, S.: Emerging epidemic of cardiovascular disease in developing countries. Circulation 97(6), 596\u2013601 (1998)","journal-title":"Circulation"},{"key":"1146_CR3","unstructured":"W.H.O.: World health statistics 2015: part ii: global health indicators. Technical report, World Health Organisation (2015)"},{"key":"1146_CR4","unstructured":"IANS: Heart attack kills one person every 33 seconds in India. \n http:\/\/timesofindia.indiatimes.com\/life-style\/health-fitness\/health-news\/Heart-attack-kills-one-person-every-33-seconds-in-India\/articleshow\/52339891.cms\n \n . Times of India, 19 May 2016"},{"issue":"16","key":"1146_CR5","doi-asserted-by":"crossref","first-page":"2020","DOI":"10.1161\/CIR.0b013e31826e1058","volume":"126","author":"K Thygesen","year":"2012","unstructured":"Thygesen, K., Alpert, J.S., Jaffe, A.S., Simoons, M.L., Chaitman, B.R., White, H.D.: Third universal definition of myocardial infarction. Circulation 126(16), 2020\u20132035 (2012)","journal-title":"Circulation"},{"issue":"3","key":"1146_CR6","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/j.jacc.2004.07.002","volume":"44","author":"EM Antman","year":"2004","unstructured":"Antman, E.M., et al.: ACC\/AHA guidelines for the management of patients with ST-elevation myocardial infarctionexecutive summary: a report of the American College of Cardiology\/American Heart Association task force on practice guidelines (writing committee to revise the 1999 guidelines for the management of patients with acute myocardial infarction). J. Am. Coll. Cardiol. 44(3), 671\u2013719 (2004)","journal-title":"J. Am. Coll. Cardiol."},{"issue":"3","key":"1146_CR7","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.jacc.2010.08.630","volume":"57","author":"T Nair","year":"2011","unstructured":"Nair, T.: Cardiology in india: state of the art or straight off the heart? J. Am. Coll. Cardiol. 57(3), 377\u2013379 (2011)","journal-title":"J. Am. Coll. Cardiol."},{"key":"1146_CR8","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.knosys.2016.01.040","volume":"99","author":"UR Acharya","year":"2016","unstructured":"Acharya, U.R., Fujita, H., Sudarshan, V.K., Oh, S.L., Adam, M., Koh, J.E., Tan, J.H., Ghista, D.N., Martis, R.J., Chua, C.K., et al.: Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads. Knowl. Based Syst. 99, 146\u2013156 (2016)","journal-title":"Knowl. Based Syst."},{"issue":"6","key":"1146_CR9","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1007\/s10916-009-9314-5","volume":"34","author":"ES Jayachandran","year":"2010","unstructured":"Jayachandran, E.S., et al.: Analysis of myocardial infarction using discrete wavelet transform. J. Med. Syst. 34(6), 985\u2013992 (2010)","journal-title":"J. Med. Syst."},{"issue":"2","key":"1146_CR10","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1109\/TIM.2013.2279001","volume":"63","author":"S Banerjee","year":"2014","unstructured":"Banerjee, S., Mitra, M.: Application of cross wavelet transform for ECG pattern analysis and classification. IEEE Trans. Instrum. Meas. 63(2), 326\u2013333 (2014)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"2","key":"1146_CR11","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0933-3657(01)00100-2","volume":"24","author":"C Papaloukas","year":"2002","unstructured":"Papaloukas, C., Fotiadis, D.I., Likas, A., Michalis, L.K.: An ischemia detection method based on artificial neural networks. Artif. Intell. Med. 24(2), 167\u2013178 (2002)","journal-title":"Artif. Intell. Med."},{"issue":"10","key":"1146_CR12","doi-asserted-by":"crossref","first-page":"818","DOI":"10.4236\/jbise.2014.710081","volume":"7","author":"N Safdarian","year":"2014","unstructured":"Safdarian, N., Dabanloo, N.J., Attarodi, G.: A new pattern recognition method for detection and localization of myocardial infarction using t-wave integral and total integral as extracted features from one cycle of ECG signal. J. Biomed. Sci. Eng. 7(10), 818\u2013824 (2014)","journal-title":"J. Biomed. Sci. Eng."},{"key":"1146_CR13","first-page":"866","volume":"68","author":"T Lahiri","year":"2009","unstructured":"Lahiri, T., Kumar, U., Mishra, H., Sarkar, S., Roy, A.D.: Analysis of ecg signal by chaos principle to help automatic diagnosis of myocardial infarction. J. Sci. Ind. Res. 68, 866\u2013870 (2009)","journal-title":"J. Sci. Ind. Res."},{"key":"1146_CR14","doi-asserted-by":"crossref","unstructured":"Lu, H., Ong, K., Chia, P.: An automated ECG classification system based on a neuro-fuzzy system. In: Computers in Cardiology, pp. 387\u2013390. IEEE, Cambridge, MA, USA (2000)","DOI":"10.1109\/CIC.2000.898538"},{"issue":"1","key":"1146_CR15","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s10916-010-9474-3","volume":"36","author":"M Arif","year":"2012","unstructured":"Arif, M., Malagore, I.A., Afsar, F.A.: Detection and localization of myocardial infarction using k-nearest neighbor classifier. J. Med. Syst. 36(1), 279\u2013289 (2012)","journal-title":"J. Med. Syst."},{"issue":"6","key":"1146_CR16","doi-asserted-by":"crossref","first-page":"2198","DOI":"10.1109\/TIM.2006.884279","volume":"55","author":"S Mitra","year":"2006","unstructured":"Mitra, S., Mitra, M., Chaudhuri, B.B.: A rough-set-based inference engine for ECG classification. IEEE Trans. Instrum. Meas. 55(6), 2198\u20132206 (2006)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"12","key":"1146_CR17","doi-asserted-by":"crossref","first-page":"3348","DOI":"10.1109\/TBME.2012.2213597","volume":"59","author":"L Sun","year":"2012","unstructured":"Sun, L., Lu, Y., Yang, K., Li, S.: Ecg analysis using multiple instance learning for myocardial infarction detection. IEEE Trans. Biomed. Eng. 59(12), 3348\u20133356 (2012)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"3","key":"1146_CR18","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1166\/jmihi.2011.1032","volume":"1","author":"SG Al-Kindi","year":"2011","unstructured":"Al-Kindi, S.G., Tafreshi, R.: Real-time detection of myocardial infarction by evaluation of ST-segment in digital ECG. J. Med. Imaging Health Inform. 1(3), 225\u2013230 (2011)","journal-title":"J. Med. Imaging Health Inform."},{"key":"1146_CR19","unstructured":"Schou, A., Grove, U.S., Worbech, T.H., Andersen, M.P., Terkelsen, C.J., Kaltoft, A.K., Struijk, J.J., et al.: ECG based estimation of area at risk in acute myocardial infarction. In: Computing in Cardiology, pp. 413\u2013416. IEEE, Hangzhou, China (2011)"},{"key":"1146_CR20","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.compbiomed.2014.08.010","volume":"61","author":"B Liu","year":"2015","unstructured":"Liu, B., Liu, J., Wang, G., Huang, K., Li, F., Zheng, Y., Luo, Y., Zhou, F.: A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection. Comput. Biol. Med. 61, 178\u2013184 (2015)","journal-title":"Comput. Biol. Med."},{"issue":"7","key":"1146_CR21","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1109\/TBME.2015.2405134","volume":"62","author":"L Sharma","year":"2015","unstructured":"Sharma, L., Tripathy, R., Dandapat, S.: Multiscale energy and eigenspace approach to detection and localization of myocardial infarction. IEEE Trans. Biomed. Eng. 62(7), 1827\u20131837 (2015)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"1146_CR22","unstructured":"Zheng, H., Wang, H., Nugent, C., Finlay, D.: Supervised classification models to detect the presence of old myocardial infarction in body surface potential maps. In: Computers in Cardiology, pp. 265\u2013268. IEEE, Valencia, Spain (2006)"},{"issue":"10","key":"1146_CR23","doi-asserted-by":"crossref","first-page":"3165","DOI":"10.1016\/j.asoc.2012.06.004","volume":"12","author":"P-C Chang","year":"2012","unstructured":"Chang, P.-C., Lin, J.-J., Hsieh, J.-C., Weng, J.: Myocardial infarction classification with multi-lead ECG using hidden Markov models and gaussian mixture models. Appl. Soft Comput. 12(10), 3165\u20133175 (2012)","journal-title":"Appl. Soft Comput."},{"key":"1146_CR24","doi-asserted-by":"publisher","unstructured":"Tripathy, R., Dandapat, S.: Detection of myocardial infarction from vectorcardiogram using relevance vector machine. SIVip. 1\u20138 (2017). doi:\n 10.1007\/s11760-017-1068-9","DOI":"10.1007\/s11760-017-1068-9"},{"issue":"4","key":"1146_CR25","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1109\/TASE.2013.2263497","volume":"10","author":"H Yang","year":"2013","unstructured":"Yang, H., Kan, C., Liu, G., Chen, Y.: Spatiotemporal differentiation of myocardial infarctions. IEEE Trans. Autom. Sci. Eng. 10(4), 938\u2013947 (2013)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"8","key":"1146_CR26","doi-asserted-by":"crossref","first-page":"2325","DOI":"10.1109\/TBME.2013.2255596","volume":"60","author":"TQ Le","year":"2013","unstructured":"Le, T.Q., Bukkapatnam, S.T., Benjamin, B.A., Wilkins, B.A., Komanduri, R.: Topology and random-walk network representation of cardiac dynamics for localization of myocardial infarction. IEEE Trans. Biomed. Eng. 60(8), 2325\u20132331 (2013)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"1146_CR27","doi-asserted-by":"crossref","DOI":"10.1002\/9781119068129","volume-title":"Biomedical Signal Analysis","author":"RM Rangayyan","year":"2015","unstructured":"Rangayyan, R.M.: Biomedical Signal Analysis, vol. 33. Wiley, New York (2015)"},{"issue":"s1","key":"1146_CR28","first-page":"317","volume":"40","author":"R Bousseljot","year":"1995","unstructured":"Bousseljot, R., Kreiseler, D., Schnabel, A.: Nutzung der ekg-signaldatenbank cardiodat der ptb uber das internet. Biomed. Eng. 40(s1), 317\u2013318 (1995)","journal-title":"Biomed. Eng."},{"issue":"23","key":"1146_CR29","doi-asserted-by":"crossref","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"A Goldberger","year":"2000","unstructured":"Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P., Mark, R., Mietus, J., Moody, G., Peng, C.-K., Stanley, H.: PhysioBank, PhysioToolkit, PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215\u2013e220 (2000)","journal-title":"Circulation"},{"key":"1146_CR30","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.measurement.2016.03.015","volume":"87","author":"LD Sharma","year":"2016","unstructured":"Sharma, L.D., Sunkaria, R.K.: A robust QRS detection using novel pre-processing techniques and kurtosis based enhanced efficiency. Measurement 87, 194\u2013204 (2016)","journal-title":"Measurement"},{"key":"1146_CR31","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.compbiomed.2015.03.005","volume":"60","author":"S Asgari","year":"2015","unstructured":"Asgari, S., Mehrnia, A., Moussavi, M.: Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine. Comput. Biol. Med. 60, 132\u2013142 (2015)","journal-title":"Comput. Biol. Med."},{"key":"1146_CR32","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.cmpb.2016.04.009","volume":"131","author":"M Garcia","year":"2016","unstructured":"Garcia, M., Rodenas, J., Alcaraz, R., Rieta, J.J.: Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation. Comput. Methods Programs Biomed. 131, 157\u2013168 (2016)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"5","key":"1146_CR33","doi-asserted-by":"crossref","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. Meas. 26(5), R155 (2005)","journal-title":"Physiol. Meas."},{"issue":"2","key":"1146_CR34","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.artmed.2011.06.007","volume":"53","author":"A Molina-Pico","year":"2011","unstructured":"Molina-Pico, A., Cuesta-Frau, D., Aboy, M., Crespo, C., Miro-Martinez, P., Oltra-Crespo, S.: Comparative study of approximate entropy and sample entropy robustness to spikes. Artif. Intell. Med. 53(2), 97\u2013106 (2011)","journal-title":"Artif. Intell. Med."},{"issue":"3","key":"1146_CR35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13246-016-0457-7","volume":"39","author":"P Marwaha","year":"2016","unstructured":"Marwaha, P., Sunkaria, R.K.: Complexity quantification of cardiac variability time series using improved sample entropy (i-sampen). Aust. Phys. Eng. Sci. Med. 39(3), 1\u20139 (2016)","journal-title":"Aust. Phys. Eng. Sci. Med."},{"issue":"2","key":"1146_CR36","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.resuscitation.2006.10.002","volume":"73","author":"A Neurauter","year":"2007","unstructured":"Neurauter, A., Eftestol, T., Kramer-Johansen, J., Abella, B.S., Sunde, K., Wenzel, V., Lindner, K.H., Eilevstjonn, J., Myklebust, H., Steen, P.A., et al.: Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks. Resuscitation 73(2), 253\u2013263 (2007)","journal-title":"Resuscitation"},{"issue":"19","key":"1146_CR37","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I., Larranaga, P.: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19), 2507\u20132517 (2007)","journal-title":"Bioinformatics"},{"key":"1146_CR38","doi-asserted-by":"publisher","unstructured":"Oliveira, R.B., Papa, J.P., Pereira, A.S., Tavares, J.M.R.: Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 1\u201324 (2016). doi:\n 10.1007\/s00521-016-2482-6","DOI":"10.1007\/s00521-016-2482-6"},{"key":"1146_CR39","volume-title":"Data Mining: Concepts and Techniques","author":"J Han","year":"2011","unstructured":"Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, New York (2011)"},{"key":"1146_CR40","unstructured":"Mitchell, T.M: Machine Learning. McGraw-Hill (1997)"},{"issue":"1","key":"1146_CR41","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1016\/j.patcog.2011.07.013","volume":"45","author":"JP Papa","year":"2012","unstructured":"Papa, J.P., FalcaO, A.X., De Albuquerque, V.H.C., Tavares, J.M.R.: Efficient supervised optimum-path forest classification for large datasets. Pattern Recogn. 45(1), 512\u2013520 (2012)","journal-title":"Pattern Recogn."},{"key":"1146_CR42","doi-asserted-by":"publisher","unstructured":"de Albuquerque, V.H.C., Nunes, T.M., Pereira, D.R., Luz, E.J.D.S., Menotti, D., Papa, J.P., Tavares, J.M.R.: Robust automated cardiac arrhythmia detection in ECG beat signals. Neural Comput. Appl. 1\u201315 (2016). doi:\n 10.1007\/s00521-016-2472-8","DOI":"10.1007\/s00521-016-2472-8"},{"key":"1146_CR43","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.patrec.2013.12.018","volume":"40","author":"AS Iwashita","year":"2014","unstructured":"Iwashita, A.S., Papa, J.P., Souza, A., Falcao, A.X., Lotufo, R., Oliveira, V., De Albuquerque, V.H.C., Tavares, J.M.R.: A path-and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern Recogn. Lett. 40, 121\u2013127 (2014)","journal-title":"Pattern Recogn. Lett."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-017-1146-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1146-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1146-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T07:19:06Z","timestamp":1518074346000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-017-1146-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,17]]},"references-count":43,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,2]]}},"alternative-id":["1146"],"URL":"https:\/\/doi.org\/10.1007\/s11760-017-1146-z","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,17]]}}}