{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T01:40:07Z","timestamp":1770342007145,"version":"3.49.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T00:00:00Z","timestamp":1705968000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T00:00:00Z","timestamp":1705968000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["STI2030-Major Projects2021ZD0201900"],"award-info":[{"award-number":["STI2030-Major Projects2021ZD0201900"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12090052"],"award-info":[{"award-number":["12090052"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Education Department of Liaoning Province","award":["LJKZ0280"],"award-info":[{"award-number":["LJKZ0280"]}]},{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["2023-MS-288"],"award-info":[{"award-number":["2023-MS-288"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720230017"],"award-info":[{"award-number":["20720230017"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017577","name":"Basic Public Welfare Research Program of Zhejiang Province","doi-asserted-by":"publisher","award":["LGF20F030005"],"award-info":[{"award-number":["LGF20F030005"]}],"id":[{"id":"10.13039\/501100017577","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Health Inf Sci Syst"],"DOI":"10.1007\/s13755-023-00268-1","type":"journal-article","created":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T08:02:37Z","timestamp":1705996957000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis"],"prefix":"10.1007","volume":"12","author":[{"given":"Fangfang","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Ji","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yuer","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Frank","family":"Jiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9713-1864","authenticated-orcid":false,"given":"Qi","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Honghong","family":"Su","sequence":"additional","affiliation":[]},{"given":"Jianwei","family":"Shuai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,23]]},"reference":[{"key":"268_CR1","doi-asserted-by":"publisher","first-page":"25627","DOI":"10.1109\/ACCESS.2018.2877793","volume":"7","author":"W Li","year":"2018","unstructured":"Li W. Wavelets for electrocardiogram: overview and taxonomy. IEEE Access. 2018;7:25627\u201349.","journal-title":"IEEE Access"},{"key":"268_CR2","doi-asserted-by":"publisher","first-page":"102712","DOI":"10.1016\/j.bspc.2021.102712","volume":"68","author":"T Peng","year":"2021","unstructured":"Peng T, Malik A, Trew ML. Predicting drug-mediated pro-arrhythmic effects using pre-drug electrocardiograms. Biomed Signal Process Control. 2021;68:102712.","journal-title":"Biomed Signal Process Control"},{"key":"268_CR3","doi-asserted-by":"publisher","first-page":"2818","DOI":"10.1109\/JBHI.2023.3246241","volume":"27","author":"D Le","year":"2023","unstructured":"Le D, Truong S, Brijesh P, Adjeroh DA, Le N. sCL-ST: supervised contrastive learning with semantic transformations for multiple lead ECG arrhythmia classification. IEEE J Biomed Health Inform. 2023;27:2818\u201328.","journal-title":"IEEE J Biomed Health Inform"},{"key":"268_CR4","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1109\/TCBB.2020.2976981","volume":"18","author":"P Singh","year":"2021","unstructured":"Singh P, Pradhan G. A new ECG denoising framework using generative adversarial network. IEEE\/ACM Trans Comput Biol Bioinf. 2021;18:759\u201364.","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"key":"268_CR5","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1109\/TBME.2012.2228482","volume":"60","author":"L Smital","year":"2012","unstructured":"Smital L, Vitek M, Kozumpl\u00edk J, Provaznik I. Adaptive wavelet wiener filtering of ECG signals. IEEE Trans Biomed Eng. 2012;60:437\u201345.","journal-title":"IEEE Trans Biomed Eng"},{"key":"268_CR6","doi-asserted-by":"publisher","first-page":"108958","DOI":"10.1016\/j.sigpro.2023.108958","volume":"208","author":"RA Kheirati","year":"2023","unstructured":"Kheirati RA. Kalman filter\/smoother-based design and implementation of digital IIR filters. Signal Process. 2023;208:108958.","journal-title":"Signal Process"},{"key":"268_CR7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/JBHI.2020.2982935","volume":"25","author":"HD Hesar","year":"2021","unstructured":"Hesar HD, Mohebbi M. An adaptive Kalman Filter bank for ECG denoising. IEEE J Biomed Health Inform. 2021;25:13\u201321.","journal-title":"IEEE J Biomed Health Inform"},{"key":"268_CR8","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/JBHI.2021.3111873","volume":"26","author":"MR Mohebbian","year":"2022","unstructured":"Mohebbian MR, Vedaei SS, Wahid KA, Dinh A, Marateb HR, Tavakolian K. Fetal ECG extraction from maternal ECG using attention-based CycleGAN. IEEE J Biomed Health Inform. 2022;26:515\u201326.","journal-title":"IEEE J Biomed Health Inform"},{"key":"268_CR9","doi-asserted-by":"publisher","first-page":"023159","DOI":"10.1103\/PhysRevResearch.5.023159","volume":"5","author":"F Xu","year":"2023","unstructured":"Xu F, Miao D, Li W, Jin J, Liu Z, Shen C, et al. Specificity and competition of mRNAs dominate droplet pattern in protein phase separation. Phys Rev Res. 2023;5:023159.","journal-title":"Phys Rev Res"},{"key":"268_CR10","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/TBME.1985.325514","volume":"BME-32","author":"JA Van Alste","year":"1985","unstructured":"Van Alste JA, Schilder T. Removal of base-line wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps. IEEE Trans Biomed Eng. 1985;BME-32:1052\u201360.","journal-title":"IEEE Trans Biomed Eng"},{"key":"268_CR11","doi-asserted-by":"publisher","first-page":"105803","DOI":"10.1016\/j.engappai.2022.105803","volume":"119","author":"S Chauhan","year":"2023","unstructured":"Chauhan S, Singh M, Aggarwal AK. Designing of optimal digital IIR filter in the multi-objective framework using an evolutionary algorithm. Eng Appl Artif Intell. 2023;119:105803.","journal-title":"Eng Appl Artif Intell"},{"key":"268_CR12","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1109\/TBME.2003.821031","volume":"51","author":"JP Mart\u00ednez","year":"2004","unstructured":"Mart\u00ednez JP, Almeida R, Olmos S, Rocha AP, Laguna P. A wavelet-based ECG delineator: evaluation on standard databases. IEEE Trans Biomed Eng. 2004;51:570\u201381.","journal-title":"IEEE Trans Biomed Eng"},{"key":"268_CR13","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac527","author":"J Zhao","year":"2023","unstructured":"Zhao J, Sun J, Shuai SC, Zhao Q, Shuai J. Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods. Brief Bioinform. 2023. https:\/\/doi.org\/10.1093\/bib\/bbac527.","journal-title":"Brief Bioinform"},{"key":"268_CR14","doi-asserted-by":"publisher","first-page":"bbac463","DOI":"10.1093\/bib\/bbac463","volume":"23","author":"W Wang","year":"2022","unstructured":"Wang W, Zhang L, Sun J, Zhao Q, Shuai J. Predicting the potential human lncRNA-miRNA interactions based on graph convolution network with conditional random field. Brief Bioinform. 2022;23:bbac463.","journal-title":"Brief Bioinform"},{"key":"268_CR15","doi-asserted-by":"publisher","first-page":"106733","DOI":"10.1016\/j.compbiomed.2023.106733","volume":"157","author":"H Hu","year":"2023","unstructured":"Hu H, Feng Z, Lin H, Cheng J, Lyu J, Zhang Y, et al. Gene function and cell surface protein association analysis based on single-cell multiomics data. Comput Biol Med. 2023;157:106733.","journal-title":"Comput Biol Med"},{"key":"268_CR16","doi-asserted-by":"publisher","first-page":"107669","DOI":"10.1016\/j.apacoust.2020.107669","volume":"172","author":"N Agrawal","year":"2021","unstructured":"Agrawal N, Kumar A, Bajaj V, Singh GK. Design of digital IIR filter: a research survey. Appl Acoust. 2021;172:107669.","journal-title":"Appl Acoust"},{"key":"268_CR17","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/79.543974","volume":"13","author":"SC Ng","year":"1996","unstructured":"Ng SC, Leung S-H, Chung CY, Luk A, Lau WH. The genetic search approach. A new learning algorithm for adaptive IIR filtering. IEEE Signal Process Mag. 1996;13:38\u201346.","journal-title":"IEEE Signal Process Mag"},{"key":"268_CR18","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1006\/dspr.2000.0384","volume":"11","author":"S Chen","year":"2001","unstructured":"Chen S, Istepanian R, Luk BL. Digital IIR filter design using adaptive simulated annealing. Digital Signal Process. 2001;11:241\u201351.","journal-title":"Digital Signal Process"},{"key":"268_CR19","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.engappai.2004.02.009","volume":"17","author":"N Karaboga","year":"2004","unstructured":"Karaboga N, Kalinli A, Karaboga D. Designing digital IIR filters using ant colony optimisation algorithm. Eng Appl Artif Intell. 2004;17:301\u20139.","journal-title":"Eng Appl Artif Intell"},{"key":"268_CR20","doi-asserted-by":"crossref","unstructured":"Saha S, Yangchen S, Mandal D, Kar R, Ghoshal SP. Digital stable IIR high pass filter optimization using PSO-CFIWA. 2012 IEEE symposium on humanities, science and engineering research: IEEE; 2012. p. 389\u2013394.","DOI":"10.1109\/SHUSER.2012.6268872"},{"key":"268_CR21","doi-asserted-by":"publisher","first-page":"107529","DOI":"10.1016\/j.asoc.2021.107529","volume":"109","author":"A Mohammadi","year":"2021","unstructured":"Mohammadi A, Zahiri SH, Razavi SM, Suganthan PN. Design and modeling of adaptive IIR filtering systems using a weighted sum\u2014variable length particle swarm optimization. Appl Soft Comput. 2021;109:107529.","journal-title":"Appl Soft Comput"},{"key":"268_CR22","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.1016\/j.dsp.2012.09.015","volume":"23","author":"N Karaboga","year":"2013","unstructured":"Karaboga N, Latifoglu F. Elimination of noise on transcranial Doppler signal using IIR filters designed with artificial bee colony\u2014ABC-algorithm. Digit Signal Process. 2013;23:1051\u20138.","journal-title":"Digit Signal Process"},{"key":"268_CR23","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.jfranklin.2008.11.003","volume":"346","author":"N Karaboga","year":"2009","unstructured":"Karaboga N. A new design method based on artificial bee colony algorithm for digital IIR filters. J Franklin Inst. 2009;346:328\u201348.","journal-title":"J Franklin Inst"},{"key":"268_CR24","doi-asserted-by":"publisher","first-page":"102830","DOI":"10.1016\/j.bspc.2021.102830","volume":"69","author":"S Yadav","year":"2021","unstructured":"Yadav S, Saha SK, Kar R, Mandal D. Optimized adaptive noise canceller for denoising cardiovascular signal using SOS algorithm. Biomed Signal Process Control. 2021;69:102830.","journal-title":"Biomed Signal Process Control"},{"key":"268_CR25","doi-asserted-by":"crossref","unstructured":"Yadav S, Kumar M, Yadav R, Kumar A. A novel method to design FIR digital filter using whale optimization. 2021 IEEE bombay section signature conference (IBSSC) 2021. p. 1\u20135.","DOI":"10.1109\/IBSSC53889.2021.9673406"},{"key":"268_CR26","doi-asserted-by":"crossref","unstructured":"Gao H, Sun J, Wang Y, Lu Y, Liu L, Zhao Q, et al. Predicting metabolite\u2013disease associations based on auto-encoder and non-negative matrix factorization. Brief Bioinform. 2023:bbad259.","DOI":"10.1093\/bib\/bbad259"},{"key":"268_CR27","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1007\/s13238-020-00810-x","volume":"12","author":"X Li","year":"2021","unstructured":"Li X, Zhong C-Q, Wu R, Xu X, Yang Z-H, Cai S, et al. RIP1-dependent linear and nonlinear recruitments of caspase-8 and RIP3 respectively to necrosome specify distinct cell death outcomes. Protein Cell. 2021;12:858\u201376.","journal-title":"Protein Cell"},{"key":"268_CR28","doi-asserted-by":"crossref","unstructured":"Hu H, Feng Z, Lin H, Zhao J, Zhang Y, Xu F, et al. Modeling and analyzing single-cell multimodal data with deep parametric inference. Brief Bioinform. 2023;24:bbad005.","DOI":"10.1093\/bib\/bbad005"},{"key":"268_CR29","doi-asserted-by":"crossref","unstructured":"Singh N, Ayub S, Saini J. Design of digital IIR filter for noise reduction in ECG signal. 2013 5th international conference and computational intelligence and communication networks: IEEE; 2013. p. 171\u2013176.","DOI":"10.1109\/CICN.2013.45"},{"key":"268_CR30","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1093\/bja\/aer311","volume":"107","author":"K Kamata","year":"2011","unstructured":"Kamata K, Aho AJ, Hagihira S, Yli-Hankala A, J\u00e4ntti V. Frequency band of EMG in anaesthesia monitoring. Br J Anaesth. 2011;107:822\u20133.","journal-title":"Br J Anaesth"},{"key":"268_CR31","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.swevo.2013.10.001","volume":"14","author":"MK Ahirwal","year":"2014","unstructured":"Ahirwal MK, Kumar A, Singh GK. Adaptive filtering of EEG\/ERP through noise cancellers using an improved PSO algorithm. Swarm Evol Comput. 2014;14:76\u201391.","journal-title":"Swarm Evol Comput"},{"key":"268_CR32","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue J, Shen B. A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Control Eng. 2020;8:22\u201334.","journal-title":"Syst Sci Control Eng"},{"key":"268_CR33","doi-asserted-by":"publisher","first-page":"2240","DOI":"10.1109\/TBME.2008.921150","volume":"55","author":"O Sayadi","year":"2008","unstructured":"Sayadi O, Shamsollahi MB. ECG denoising and compression using a modified extended Kalman filter structure. IEEE Trans Biomed Eng. 2008;55:2240\u20138.","journal-title":"IEEE Trans Biomed Eng"},{"key":"268_CR34","doi-asserted-by":"crossref","unstructured":"Goldberger AAL, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 2000;101(23):pp. e215\u2013e220.","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"268_CR35","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/51.932724","volume":"20","author":"GB Moody","year":"2001","unstructured":"Moody GB, Mark RG. The impact of the MIT-BIH arrhythmia database. IEEE Eng Med Biol Mag. 2001;20:45\u201350.","journal-title":"IEEE Eng Med Biol Mag"}],"container-title":["Health Information Science and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-023-00268-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13755-023-00268-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-023-00268-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T08:23:07Z","timestamp":1733214187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13755-023-00268-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,23]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["268"],"URL":"https:\/\/doi.org\/10.1007\/s13755-023-00268-1","relation":{},"ISSN":["2047-2501"],"issn-type":[{"value":"2047-2501","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,23]]},"assertion":[{"value":"15 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"8"}}