{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:29:09Z","timestamp":1771025349674,"version":"3.50.1"},"reference-count":36,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.063562","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T01:58:52Z","timestamp":1747015132000},"page":"1633-1657","source":"Crossref","is-referenced-by-count":4,"title":["Advanced ECG Signal Analysis for Cardiovascular Disease Diagnosis Using AVOA Optimized Ensembled Deep Transfer Learning Approaches"],"prefix":"10.32604","volume":"84","author":[{"given":"Amrutanshu","family":"Panigrahi","sequence":"first","affiliation":[]},{"given":"Abhilash","family":"Pati","sequence":"additional","affiliation":[]},{"given":"Bibhuprasad","family":"Sahu","sequence":"additional","affiliation":[]},{"given":"Ashis Kumar","family":"Pati","sequence":"additional","affiliation":[]},{"given":"Subrata","family":"Chowdhury","sequence":"additional","affiliation":[]},{"given":"Khursheed","family":"Aurangzeb","sequence":"additional","affiliation":[]},{"given":"Nadeem","family":"Javaid","sequence":"additional","affiliation":[]},{"given":"Sheraz","family":"Aslam","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"3050","DOI":"10.12928\/telkomnika.v18i6.14375","article-title":"An efficient IOT based biomedical health monitoring and diagnosing system using myRIO","volume":"18","author":"Rathy","year":"2020","journal-title":"TELKOMNIKA Telecommun Comput Electron Control"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"0172","DOI":"10.34133\/cbsystems.0172","article-title":"Advances in biointegrated wearable and implantable optoelectronic devices for cardiac healthcare","volume":"5","author":"Li","year":"2024","journal-title":"Cyborg Bionic Syst"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1443749","DOI":"10.3389\/fmed.2024.1443749","article-title":"The neutrophil-lymphocyte ratio predicts all-cause and cardiovascular mortality among United States adults with COPD: results from NHANES 1999\u20132018","volume":"11","author":"Chen","year":"2024","journal-title":"Front Med"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1038\/s41392-023-01652-9","article-title":"Hypoxia-induced signaling in the cardiovascular system: pathogenesis and therapeutic targets","volume":"8","author":"Zhao","year":"2023","journal-title":"Signal Transduct Target Ther"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1277123","DOI":"10.3389\/fcvm.2024.1277123","article-title":"A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme","volume":"11","author":"Bing","year":"2024","journal-title":"Front Cardiovasc Med"},{"key":"ref6","first-page":"2398","article-title":"Heart disease prediction using machine learning and deep learning approaches: a systematic survey","volume":"35","author":"Saikumar","year":"2025","journal-title":"Heart Dis"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.55248\/gengpi.5.1224.3437","article-title":"AI-driven predictive analytics in cardiovascular diseases: integrating big data and machine learning for early diagnosis and risk prediction","volume":"5","author":"Ekundayo","year":"2024","journal-title":"Int J Res Publ Rev"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"58","DOI":"10.3390\/bioengineering11010058","article-title":"Cardiovascular diseases diagnosis using an ECG multi-band non-linear machine learning framework analysis","volume":"11","author":"Ribeiro","year":"2024","journal-title":"Bioengineering"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"106882","DOI":"10.1016\/j.bspc.2024.106882","article-title":"Cardiovascular disease detection based on deep learning and multi-modal data fusion","volume":"99","author":"Zhu","year":"2025","journal-title":"Biomed Signal Process Control"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"107329","DOI":"10.1016\/j.bspc.2024.107329","article-title":"A systematic review on cardiovascular disease detection and classification","volume":"102","author":"Pandey","year":"2025","journal-title":"Biomed Signal Process Control"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"0152","DOI":"10.34133\/cbsystems.0152","article-title":"Federated abnormal heart sound detection with weak to no labels","volume":"5","author":"Qiu","year":"2024","journal-title":"Cyborg Bionic Syst"},{"key":"ref12","series-title":"Proceedings of the 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)","article-title":"An ensembled hybrid machine and deep learning approach for heart diseases prediction","author":"Pati","year":"2024 Nov 8\u22129"},{"key":"ref13","series-title":"Proceedings of the 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC)","article-title":"Enhancing the heart diseases prediction based on a novel hybrid model","author":"Pati","year":"2023 Nov 17\u201318"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1186\/s40001-024-02044-7","article-title":"Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models","volume":"29","author":"Sadr","year":"2024","journal-title":"Eur J Med Res"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"e402","DOI":"10.1002\/ctm2.402","article-title":"Loss of m6A demethylase ALKBH5 promotes post-ischemic angiogenesis via post-transcriptional stabilization of WNT5A","volume":"11","author":"Zhao","year":"2021","journal-title":"Clin Transl Med"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"112178","DOI":"10.1016\/j.intimp.2024.112178","article-title":"Clinical features, treatment, and outcomes of patients with carfilzomib induced thrombotic microangiopathy","volume":"134","author":"Fang","year":"2024","journal-title":"Int Immunopharmacol"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1371286","DOI":"10.3389\/fped.2024.1371286","article-title":"Weight status change during four years and left ventricular hypertrophy in Chinese children","volume":"12","author":"Liu","year":"2024","journal-title":"Front Pediatr"},{"key":"ref18","unstructured":"Prabhakararao E, Dandapt S. Multi-label ECG classification using temporal convolutional neural network. arXiv: 2306.03844v1. 2023."},{"key":"ref19","series-title":"Proceedings of the 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","article-title":"A review: heart disease prediction in machine learning deep learning","author":"Bakar","year":"2023 Mar 3\u20134"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"26919","DOI":"10.1038\/s41598-024-78028-8","article-title":"Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model","volume":"14","author":"Kolhar","year":"2024","journal-title":"Sci Rep"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"65315","DOI":"10.1007\/s11042-024-18116-z","article-title":"Reduced lead ECG multi-label classification with higher generalization using 2D SEResnets with self attention","volume":"83","author":"Sheikh","year":"2024","journal-title":"Multimed Tools Appl"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"121497","DOI":"10.1016\/j.eswa.2023.121497","article-title":"IM-ECG: an interpretable framework for arrhythmia detection using multi-lead ECG","volume":"237","author":"Tao","year":"2024","journal-title":"Expert Syst Appl"},{"key":"ref23","series-title":"Proceedings of the 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)","article-title":"Applying machine learning classifiers on ECG dataset for predicting heart disease","author":"Hossain","year":"2021 Jul 8\u20139"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"108525","DOI":"10.1016\/j.compbiomed.2024.108525","article-title":"Explaining deep learning for ECG analysis: building blocks for auditing and knowledge discovery","volume":"176","author":"Wagner","year":"2024","journal-title":"Comput Biol Med"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"108210","DOI":"10.1016\/j.compbiomed.2024.108210","article-title":"Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion","volume":"171","author":"Wen","year":"2024","journal-title":"Comput Biol Med"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"e12864","DOI":"10.1111\/exsy.12864","article-title":"Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals","volume":"40","author":"Khanna","year":"2023","journal-title":"Expert Syst"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"102536","DOI":"10.1016\/j.inffus.2024.102536","article-title":"Deep learning based multimodal biomedical data fusion: an overview and comparative review","volume":"112","author":"Duan","year":"2024","journal-title":"Inf Fusion"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"106807","DOI":"10.1016\/j.cmpb.2022.106807","article-title":"Compelling new electrocardiographic markers for automatic diagnosis","volume":"221","author":"Rueda","year":"2022","journal-title":"Comput Methods Programs Biomed"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"212499","DOI":"10.1109\/ACCESS.2020.3040275","article-title":"Multi-label classification of fundus images with efficientnet","volume":"8","author":"Wan","year":"2020","journal-title":"IEEE Access"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"9872","DOI":"10.1109\/ACCESS.2018.2890127","article-title":"Multiple feature reweight densenet for image classification","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"107408","DOI":"10.1016\/j.cie.2021.107408","article-title":"African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems","volume":"158","author":"Abdollahzadeh","year":"2021","journal-title":"Comput Ind Eng"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.1007\/s11831-023-10034-x","article-title":"A comprehensive survey on African vulture optimization algorithm","volume":"31","author":"Sasmal","year":"2024","journal-title":"Arch Comput Methods Eng"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10462-024-10981-2","article-title":"Recent applications and advances of African vultures optimization algorithm","volume":"57","author":"Hussien","year":"2024","journal-title":"Artif Intell Rev"},{"key":"ref34","first-page":"361","article-title":"A hybrid wrapper spider monkey optimization-simulated annealing model for optimal feature selection","volume":"2089","author":"Sahu","year":"2023","journal-title":"Int J Reconfig Embed Syst"},{"key":"ref35","first-page":"363","author":"Zhang","year":"2021","journal-title":"Fundamentals of image data mining: analysis, features, classification and retrieval"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41597-020-0495-6","article-title":"PTB-XL, a large publicly available electrocardiography dataset","volume":"7","author":"Wagner","year":"2020","journal-title":"Sci Data"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-1\/TSP_CMC_63562\/TSP_CMC_63562.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:38:23Z","timestamp":1763343503000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n1\/61745"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":36,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.063562","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}