Level-crossing processing and deep convolutional neural network for arrhythmia classification in telehealth services.
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| Title: | Level-crossing processing and deep convolutional neural network for arrhythmia classification in telehealth services. |
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| Authors: | Hussain SF; MDS Lab, Faculty of Computer Science and Engineering, G.I.K Institute, Topi, 23640, Pakistan. s.f.hussain@bham.ac.uk.; School of Computer Science, Univeristy of Birmingham, Birmingham, UK. s.f.hussain@bham.ac.uk., Mian Qaisar S; College of Engineering and Technology, American University of the Middle East, 54200, Egaila , Kuwait. saeed.qaisar@aum.edu.kw.; Department of Electrical and Computer Engineering, Effat University, Jeddah, 21478, Saudi Arabia. saeed.qaisar@aum.edu.kw., Sherjeel M; MDS Lab, Faculty of Computer Science and Engineering, G.I.K Institute, Topi, 23640, Pakistan. |
| Source: | Physical and engineering sciences in medicine [Phys Eng Sci Med] 2026 Mar; Vol. 49 (1), pp. 167-182. Date of Electronic Publication: 2025 Nov 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2662-4737 |
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| DOI: | 10.1007/s13246-025-01660-9 |
