PEAK DETECTION FOR DISCRIMINATION OF FALSE ARRHYTHMIA ALARM IN ICU USING ECG SIGNALS

@article{1701168,
      author = {Dr. Mary Praveena, DR. VIKNESWARAN VIJEAN, R.M.Vyssali, D.Sakthisneka, M.Praveena},
      title = {PEAK DETECTION FOR DISCRIMINATION OF FALSE ARRHYTHMIA ALARM IN ICU USING ECG SIGNALS},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {10},
      pages = {325-331},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701168.pdf},
      abstract = {The False Arrhythmia alarm is the insignificant alarm caused by the monitoring systems. This project  is proposes an algorithm that is capable of distinguishing arrhythmia into true and false alarm events accurately .The Electrocardiogram signals is pre processed to remove the common noise like baseline wander, trends and the pacemaker spiking. The feature extraction process is done by fast independent component analysis and principle component analysis methods. The peaks of the ECG signal R wave is detected by using the Pan Tompkins algorithm. This paper proposes the peak detection process in the ECG signal. This project uses various methods to reduce the occurrence of false alarms in emergency unit using the ECG Signals.},
      keywords = {false alarm, ECG signal, peak detection},
      month = {April},
  }