Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks
type: Thing
description: Research article (Computer Methods in Biomechanics & Biomedical Engineering, 2020) · cited 137× · AI/ML
additional property: PropertyValue
  property ID: P31
  value: scholarly article
confidence:
  popularity graph score:
    score: 0.0
    score pct: 0
    tier: long_tail
    components:
      sitelinks: 0
      sitelinks norm: 0.0
      unique citations: 0
      unique citations norm: 0.0
      monthly pageviews: 0
      monthly pageviews norm: 0.0
  sitelinks: 0
  unique citations: 0
  monthly pageviews: 0
  yearly pageviews: 0
  tier: long_tail
claims:
  P31:
    value: scholarly article
    source count: 0
    confidence: 0.0
meta:
  wikidata id: openalex:W3087520086
  domain: academia
  level: standard
  html url: https://4ort.xyz/entity/classification-of-normal-sinus-rhythm-abnormal-arrhythmia-and-congestive-heart-failure-ecg-signals-using-lstm-and-hybrid
  markdown url: https://4ort.xyz/entity/classification-of-normal-sinus-rhythm-abnormal-arrhythmia-and-congestive-heart-failure-ecg-signals-using-lstm-and-hybrid.md
  facts url summary: https://4ort.xyz/entity/classification-of-normal-sinus-rhythm-abnormal-arrhythmia-and-congestive-heart-failure-ecg-signals-using-lstm-and-hybrid/facts.json
  facts url standard: https://4ort.xyz/entity/classification-of-normal-sinus-rhythm-abnormal-arrhythmia-and-congestive-heart-failure-ecg-signals-using-lstm-and-hybrid/facts.json
  facts url full: https://4ort.xyz/entity/classification-of-normal-sinus-rhythm-abnormal-arrhythmia-and-congestive-heart-failure-ecg-signals-using-lstm-and-hybrid/facts.json
  data source: Wikidata (CC0 / public domain)
  license: https://creativecommons.org/publicdomain/zero/1.0/
  api version: v1
  served at: 2026-08-12T10:14:58.539826Z
  entity updated at: 2026-05-24T15:24:57.202193+00:00Z
  entity created at: 2026-05-24T15:24:57.202193+00:00Z