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  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2025 (Awarded Year)
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/9659
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dc.contributor.advisorKundu, Palash Kumar, guide-
dc.contributor.authorSahoo, Rashmi Rekha-
dc.date.accessioned2026-04-06T06:01:57Z-
dc.date.available2026-04-06T06:01:57Z-
dc.date.issued2025-
dc.date.submitted2025-
dc.identifier.otherTC4353-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/9659-
dc.descriptionSupervisor(s): Kundu, Palash Kumar (Dept. of Electrical Engineering, J.U.); Awarded year: 2025en_US
dc.format.extentxv, 191 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectECGen_US
dc.subjectPPGen_US
dc.subjectCardiovascular disease (CVD)en_US
dc.subjectMachine learningen_US
dc.subject1D-CNN (Convolutional neural network)en_US
dc.titleCardiovascular monitoring and disease diagnosis using ECG and PPG for telemedicine applicationsen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Electrical Engineeringen_US
Appears in Collections:2025 (Awarded Year)

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PhD Thesis (Electrical Engineering) Rashmi Rekha Sahoo.pdf10.22 MBAdobe PDFView/Open
Abstract Rashmi Rekha Sahoo.pdf110.55 kBAdobe PDFView/Open
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