Electrocardiogram (ECG or EKG) is basically a diagnostic tool that measures and records the electrical signal by comparing the activity of heart. Electrocardiogram has significant importance since it reveals important information about various disorders . The purpose of this work is to extract R-wave and find heart rate using LabVIEW. In this work an algorithm has been developed for the detection of R-wave, which is based on array subset and array min and max method using LabVIEW. LabVIEW (laboratory virtual instrument engineering workbench) is a graphical programming language that uses icons instead of lines of text to create programs. The work is executed in four stages. Firstly data acquisition, secondly it denoises the signal to remove the noise from the ECG signal, thirdly it detects the R-wave and lastly analysis is done by calculating heart rate. LabVIEW and the related toolkit i. e. , Advanced signal processing toolkit is used to build the graphical programme . ECG data are acquired from the subjects which includes 5000 samples recorded at a sampling frequency of 1000Hz.

1. S. Palanivel Rajan, Dr. R. Sukanesh, A. Ramprasad, M. Jeyakumar, G. Shanmuga Raja, "Patient Monitoring System using Android Technology A Comprehensive Analysis of Wireless Mobile Based Tele-monitoring System for Myocardial Malfunctionining", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No. 3, March 2012.
2. Channappa Bhyri, Kalpana V, S. T. Hamde and L. M. Waghmare, "Estimation of ECG Features using LabVIEW", TECHNIA-International Journal of Computing Science and Communication Technlogies, Vol. 2, No. 1, July 2009.
3. Sawsan Sadek, Mohamad Khalil, Sahar Merheb, Khaled Houssein, Mohamad Sayed, "Real-Time ECG Transmission from Multi-patient toward Multi-physician using Wireless Communications Technologies", Journal of Theoretical and Applied Information Technology, 2011.
4. Jan Havlk, Jan Dvorak, Jakub Parak, and Lenka Lhotska, "Monitoring of Physiological Signs using Telemonitoring System", ITBAM, 2011.
6. Ling Zhu, Gong Zhang, Trevor Strome, Ricardo Lobato De Faria, Jiefe Pei, Francis Lin, Simon Liao, Trish Bergal, Blake W. Podaima "Real Time Traceability using RFID Technology".
7. Mr. Bhavin Mehta, Ms. Divya Rengarajan, Mr. Ankit Prasad, "Real Time Patient Tele Monitoring System using LabVIEW", Intentional Journal of Scientific and Engineering Research, Vol. 3, Issue 4, 2012.
8. Marius Branzila, Valeriudavid Faculty of Electrical Engineering, "Gh. Asachi" Technical University of Iasi. "Wireless Intelligent Systems for Biosignals Monitoring using Low Cost Devices", 19th Symposium IMEKO TC 4 Symposiums and 17th IWADC Workshop. Advances in Instrumentation and Sensors Interoperability Barcelona, Spain, 2013.
9. Khalid Mohamed Alajel, Khairi Bin Yosuf, Abdul Rahman Ramli, El Sadig Ahmed, "Remote Electrocardiograpm Monitoring Based on the Internet", Department of Computer & Communication System Engineering Faculty of Engineering Electrocardiogram Monitoring Based on The Internet,. KMITL Sc. J. Vol. 5, No. 2, Jan-June 2005.
10. Bishweshwar Pratap Tasa, Pompy Das, Avinash Sinha,"Simulation based R-peak and QRS complex detection in ECG signal",Current Trends in Technology and Science,Vol-2,Issue:4.
11. Channappa Bhyri, Satish T Hamde, Laxman M Waghmare,"ECG Acquisition and Analysis System for Diagnosis of Heart Diseases",Sensors and Transducer Journal,vol. 133, Issue 10, October 2011.
12. V. S. Chouhan, S. S. Mehta and N. S. Lingayat,"Delineation of QRS Complex, P and T-Wave in 12-Lead ECG",IJCSNS International Journal of Computer Science and Network Security,Vol. 8,No. 4,April 2008.
13. Prema Sundaram,"Patient Monitoring System using Android Technology", International Journal of Computer Science and Mobile Computing, IJCSMC,Vol. 2,Issue 5, May 2013.

Ecg Signal Labview Wavelet Denoise Wa Detrend Array Min & Max Array Subset. 1. Introduction