Publication2026
Deep Learning–Assisted ECG Screening for Detection of Abnormal Cardiac Activity
The record
- Type
- Publication
- Date
- 1 June 2026
- Level
- National
- Journal
- Biomedical and Pharmacology Journal
- Volume
- 19
- Issue
- 2
- Pages
- 1481-1496
- Published
- 1 June 2026
- DOI
- 10.13005/bpj/3435
- Scopus ID
- 105045960506
- ISSN
- 09746242
- Authors
- 5
- Open access
- Yes
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
CNN-LSTM deep learning framework for ECG screening achieves 99.10% accuracy in detecting abnormal cardiac activity enabling automated early diagnosis.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Deep learning and wearable health monitoring technology development advances research innovation in cardiac disease detection.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Digital health monitoring and AI diagnostic technology exemplifies digital technology and health innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Deep Learning–Assisted ECG Screening for Detection of Abnormal Cardiac Activity”. Kortex.