{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:14:39Z","timestamp":1763100879265,"version":"3.45.0"},"reference-count":39,"publisher":"Tech Science Press","issue":"2","license":[{"start":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T00:00:00Z","timestamp":1740268800000},"content-version":"vor","delay-in-days":53,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2024.059403","type":"journal-article","created":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T04:13:16Z","timestamp":1734581596000},"page":"3443-3465","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["An Arrhythmia Intelligent Recognition Method Based on a Multimodal Information and Spatio-Temporal Hybrid Neural Network Model"],"prefix":"10.32604","volume":"82","author":[{"given":"Xinchao","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aojun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Longfei","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linqi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuqin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runchuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengya","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41591-024-02971-2","article-title":"Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging","volume":"30","author":"Wang","year":"2024","journal-title":"Nat. Med."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"e93","DOI":"10.1161\/CIR.0000000000001123","article-title":"Heart disease and stroke statistics\u20132023 update: A report from the american heart association","volume":"147","author":"Tsao","year":"2023","journal-title":"Circulation"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1038\/s41591-018-0268-3","article-title":"Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network","volume":"25","author":"Hannun","year":"2019","journal-title":"Nat. Med."},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.116848","article-title":"Automatic classification of atrial fibrillation from short single-lead ecg recordings using a hybrid approach of dual support vector machine","volume":"198","author":"Geweid","year":"2022","journal-title":"Expert. Syst. Appl."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1109\/TBCAS.2023.3299084","article-title":"AutoMLP: A framework for the acceleration of multi-layer perceptron models on FPGAs for real-time atrial fibrillation disease detection","volume":"17","author":"Chen","year":"2023","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"key":"ref6","article-title":"An intelligent heartbeat classification system based on attributable features with AdaBoost + Random Forest algorithm","volume":"2021","author":"Li","year":"2021, Art. no. 9913127","journal-title":"J. Healthc. Eng."},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-023-39472-8","article-title":"Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset","volume":"14","author":"Lai","year":"2023, Art. no. 3741","journal-title":"Nat. Commun."},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.112314","article-title":"A neural network computational procedure for the novel designed singular fifth order nonlinear system of multi-pantograph differential equations","volume":"301","author":"Bhat","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"ref9","first-page":"1","article-title":"A bayesian regularization radial basis neural network novel procedure for the fractional economic and environmental system","volume":"5","author":"Chen","year":"2024","journal-title":"Int. J. Comput. Math."},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.3390\/math12172693","article-title":"GAN-SkipNet: A solution for data imbalance in cardiac arrhythmia detection using electrocardiogram signals from a benchmark dataset","volume":"12","author":"Rai","year":"2024, Art. no. 2693","journal-title":"Mathematics"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3614425","article-title":"Non-imaging medical data synthesis for trustworthy ai: A comprehensive survey","volume":"56","author":"Xing","year":"2024","journal-title":"ACM Comput. Surv."},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2023.102489","article-title":"A novel temporal generative adversarial network for electrocardiography anomaly detection","volume":"136","author":"Qin","year":"2023, Art. no. 102489","journal-title":"Artif. Intell. Med."},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1155\/2022\/1577778","article-title":"Deep learning-based data augmentation and model fusion for automatic arrhythmia identification and classification algorithms","volume":"2022","author":"Ma","year":"2022, Art. no. 1577778","journal-title":"Comput. Intell. Neurosci."},{"key":"ref14","article-title":"Attention-assisted hybrid cnn-bilstm-bigru model with smote-tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals","volume":"10","author":"Chopannejad","year":"2024, Art. no. 20552076241234624","journal-title":"Digit. Health"},{"key":"ref15","article-title":"Deep representation learning with sample generation and augmented attention module for imbalanced ECG classification","author":"Zubair","year":"2023","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.106142","article-title":"The prediction of cardiac abnormality and enhancement in minority class accuracy from imbalanced ecg signals using modified deep neural network models","volume":"150","author":"Rai","year":"2022, Art. no. 106142","journal-title":"Comput. Biol. Med."},{"key":"ref17","article-title":"Spectral cross-domain neural network with soft-adaptive threshold spectral enhancement","author":"Liu","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref18","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.eswa.2018.12.037","article-title":"A robust deep convolutional neural network with batch-weighted loss for heartbeat classification","volume":"122","author":"Sellami","year":"2019","journal-title":"Expert. Syst. Appl."},{"key":"ref19","article-title":"Adversarial spatiotemporal contrastive learning for electrocardiogram signals","author":"Wang","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.106582","article-title":"Inter-patient arrhythmia classification with improved deep residual convolutional neural network","volume":"214","author":"Li","year":"2022","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref21","doi-asserted-by":"crossref","first-page":"7178","DOI":"10.1109\/JIOT.2021.3108792","article-title":"BeatClass: A sustainable ECG classification system in IoT-based eHealth","volume":"9","author":"Sun","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref22","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/51.932724","article-title":"The impact of the MIT-BIH arrhythmia database","volume":"20","author":"Moody","year":"2001","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals","volume":"101","author":"Goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1161\/HYPERTENSIONAHA.117.10237","article-title":"A universal standard for the validation of blood pressure measuring devices: Association for the Advancement of Medical Instrumentation\/European Society of Hypertension\/International Organization for Standardization (AAMI\/ESH\/ISO) Collaboration Statement","volume":"71","author":"Stergiou","year":"2018","journal-title":"Hypertension"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.3390\/s23115237","article-title":"A systematic survey of data augmentation of ECG signals for AI applications","volume":"23","author":"Rahman","year":"2023, Art. no. 5237","journal-title":"Sensors"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.5334\/jors.bi","article-title":"An open-source toolbox for analysing and processing physionet databases in MATLAB and Octave","volume":"2","author":"Silva","year":"2014, Art. no. e27","journal-title":"J. Open Res. Softw."},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JBHI.2024.3392893","article-title":"Efficient click-based interactive segmentation for medical image with improved Plain-ViT","author":"Huang","year":"2024","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1155\/2024\/9954821","article-title":"Multimodality data augmentation network for arrhythmia classification","volume":"2024","author":"Xu","year":"2024, Art. no. 9954821","journal-title":"Int. J. Intell. Syst."},{"key":"ref29","article-title":"Spatial temporal graph convolutional networks for skeleton-based action recognition","volume":"32","author":"Yan","year":"2018","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"ref30","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/PL00011669","article-title":"Dimensionality reduction for fast similarity search in large time series databases","volume":"3","author":"Keogh","year":"2001","journal-title":"Knowl. Inf. Syst."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1109\/TSMCB.2012.2228639","article-title":"A generalized laplacian of gaussian filter for blob detection and its applications","volume":"43","author":"Kong","year":"2013","journal-title":"IEEE Trans. Cybern."},{"key":"ref32","unstructured":"D. P. Kingma, \u201cAdam: A method for stochastic optimization,\u201d 2014, arXiv:1412.6980."},{"key":"ref33","first-page":"4593","article-title":"Improved transient search optimization with machine learning based behavior recognition on body sensor data","volume":"75","author":"Salim","year":"2023","journal-title":"Comput. Mater. Contin."},{"key":"ref34","series-title":"2021 26th Int. Comput. Conf. Comput. Soc. Iran (CSICC)","first-page":"1","article-title":"A practical system based on CNN-BLSTM network for accurate classification of ECG heartbeats of MIT-BIH imbalanced dataset","author":"Shoughi","year":"2021"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2021.105959","article-title":"ECG language processing (ELP): A new technique to analyze ECG signals","volume":"202","author":"Mousavi","year":"2021, Art. no. 105959","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref36","article-title":"Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory","volume":"8","author":"Hassan","year":"2022, Art. no. 20552076221102766","journal-title":"Digit. Health"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.3390\/computers13020055","article-title":"Electrocardiogram signals classification using deep-learning-based incorporated convolutional neural network and long short-term memory framework","volume":"13","author":"Eleyan","year":"2024, Art. no. 55","journal-title":"Computers"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2023.105714","article-title":"ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer","volume":"89","author":"El-Ghaish","year":"2024, Art. no. 105714","journal-title":"Biomed. Signal Process. Control"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2022.111978","article-title":"An effective data enhancement method for classification of ECG arrhythmia","volume":"203","author":"Ma","year":"2022, Art. no. 111978","journal-title":"Measurement"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-2\/TSP_CMC_59403\/TSP_CMC_59403.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:11:59Z","timestamp":1763100719000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n2\/59497"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":39,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.059403","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2024-10-07","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-02-17","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}