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

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[18] A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley, “PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals,” Circulation, vol. 101, no. 23, pp. e215–e220, 2000 (June 13), circulation Electronic Pages: http://circ.ahajournals.org/cgi/content/full/101/ 23/e215 PMID: 1085218; 10.1161/01.CIR.101.23.e215. ACKNOWLEDGEMENT We sincerely thank the Management and our Principal Dr. M. Paul Raj of Sri Ramakrishna Institute of Technology who has given permission to do a part of our final year project in UNIMAP Malaysia. Next, we thank my Head of the Department Dr. H. Mangalam, Professor, and ECE Department. Sincere thanks to my Internal supervisor Dr. S. Mary Praveena, Associate Professor, ECE Department of Sri Ramakrishna institute of Technology and Dr. Vikneshwaran vijean Senior Lecturer, School of Mechatronic Engineering, University Malaysia Perlis, who has guided us for carrying this project in successful manner. APPENDIX %R-peak b=0; j=1; for i=1:length(e11) if e11(i)>0.1 r(i)=1; b(j)=i; j=j+1; else r(i)=0; end end j=1; k=1; l=1; for i=1:(length(b)-1) if (b(i+1)-b(i)<50) d(k)=s(b(i)); k=k+1; else d(k)=s(b(i)); [c,j]=max (d(1:k)); r_max(l)=c; r_ind(l)=b(j); d=0; k=k+1; l=l+1; end end d(k)=s(b(i+1)); [c,j]=max(d(1:k)); r_max(l)=c; r_ind(l)=b(k); rwave(length(s))=0; for i=1:length(b) if(s(b(i))>0.1) rwave(b(i))=1; else rwave(b(i))=0; end end j=1; r_peak(length(s))=0; while(j<length(r_ind)) for i=1:length(r) r_peak(r_ind(j))=1; end j=j+1; end figure plot(1:length(s),s,'g',1:length(r_peak),r_peak,'r'); title('R-Peak');

@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},
  }