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ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning.

Giovanni RosaMarco RussodivitoGennaro LaudatoAngela Rita ColavitaLuca De VitoFrancesco PicarielloSimone ScalabrinoIoan TudosaRocco Oliveto
Published in: BIOSTEC (Selected Papers) (2022)
Keyphrases
  • data sets
  • compressed sensing
  • machine learning
  • data analysis
  • high quality
  • data points
  • input data
  • image reconstruction
  • data streams
  • feature vectors
  • information extraction
  • anomaly detection
  • original data