Publication2019
VENTRICULAR TACHYCARDIA and FIBRILLATION DETECTION USING DWT and DECISION TREE CLASSIFIER
The record
- Type
- Publication
- Date
- 1 May 2019
- Level
- National
- Journal
- Journal of Mechanics in Medicine and Biology
- Volume
- 19
- Issue
- 3
- Published
- 1 May 2019
- DOI
- 10.1142/s0219519419500088
- Scopus ID
- 85056812506
- ISSN
- 02195194
- Authors
- 3
- Open access
- No
- Citations
- 13
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Develops discrete wavelet transform-based automatic detection system for ventricular arrhythmias achieving 99.23% accuracy enabling emergency cardiac intervention.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Automated cardiac arrhythmia detection system improves health outcomes by enabling rapid identification of life-threatening heart rhythm abnormalities.
- 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “VENTRICULAR TACHYCARDIA and FIBRILLATION DETECTION USING DWT and DECISION TREE CLASSIFIER”. Kortex.