A New Method for Acquisition and Analysis of ECG Signal using Virtual Environment

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-3
Year of Publication : 2019
Authors : Divya Savani, Ukshit Prajapati, Harsh Shingala, Prashant Tanti
  10.14445/22315381/IJETT-V67I3P220

MLA 

MLA Style: Divya Savani, Ukshit Prajapati, Harsh Shingala, Prashant Tanti "A New Method for Acquisition and Analysis of ECG Signal using Virtual Environment" International Journal of Engineering Trends and Technology 67.3 (2019): 105-110.

APA Style: Divya Savani, Ukshit Prajapati, Harsh Shingala, Prashant Tanti (2019). A New Method for Acquisition and Analysis of ECG Signal using Virtual Environment. International Journal of Engineering Trends and Technology, 67(3), 105-110.

Abstract
Electrocardiogram is used to measure the rate and regularity of heartbeats and to detect any heart arrhythmia. Different ways are submitted and used for cardiogram feature extraction with a reasonable percentage of right detection. Al-though the problem stays open especially with respect to superior detection accuracy in ECGs. The ECG signal is very sensitive in nature having voltage level as low as 0.5 to 5mv and frequency components fall into the range of 0.05-100Hz and most of the information contained in the range of 0.05- 45Hz. The recorded ECG signal contains different type of noises such as baseline wander, channel noise which becomes very essential for us to remove for the better clinical result which helps in the treatment of the patient. For the feature extraction and classification task we'll be using discrete wavelet transform (DWT) as wavelet transform could be a two dimensional timescale process technique, there-fore it's appropriate for the nonstationary ECG signals(due to adequate scale values and shifting in time) in LabVIEW. The flexibility, standard na-ture and simplicity to use programming possible with LabVIEW, makes it less complex. The pro-posed algorithm is executed in two steps. First step, it pre-processes de-noises the signal to get rid of the noise from the cardiogram signal, Then it detects pulse, Our extracted parameters are Heart rate, P wave amplitude, T wave amplitude, S value, Q value, R-value, P offset location, P onset location, T onset location, T offset location and the location of P, Q, R, S and T wave.

Reference
[1] Sahil Dalal,Rajesh Birok , „ECG Signals Analysis using PCA with Neural Network and Fuzzy Logic‟,IJARECE-journal, Volume 5, Issue 7, July 2016.
[2] Islam, M. K., G. Tangim, T. Ahammad, and M. R. H. Khon-dokar. "Study and analysis of ecg signal using matlab &labview as effective tools." International journal of Com-puter and Electrical engineering 4, no. 3 (2012): 404.
[3] Olarte, N., and D. Lara. "Design of Medical Information Stor-age System–ECG Signal." World Academy of Science, Engi-neering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engi-neering 5, no. 11 (2011): 608-612.
[4] Kumar, Amit, Lillie Dewan, Mukhtiar Singh, and H. A. R. Y. A. N. A. Kurukshetra. "Real time monitoring system for ECG signal using virtual instrumentation." WSEAS Transactions on biology and biomedicine 3, no. 11 (2006): 638-643.
[5] Ashok Kumar Dohare ,„Wonder Baseline Drift Removing in the Electrocardiogram Signals Using Variable Window in Me-dian Filter‟ , IJARCSSE, Volume 5, Issue 5, May 2015.
[6] Chandel, Savita, and Kuldeep Singh. "ECG denoising using wavelet transform and soft thresholding." International Journal of Advanced Research in Computer Science and Software En-gineering 6, no. 9 (2016).
[7] Priyanka and Gurjit Kaur,„Noise Removal in ECG Signal us-ing Windowing Technique and its Optimization‟, Adv Biotech & Micro (Juniper Publishers), Volume 6 Issue1 - August
[8] Rajni, Rajni, and Inderbir Kaur. "Electrocardiogram signal analysis-an overview." International Journal of Computer Ap-plications 84, no. 7 (2013): 22-25.
[9] Bhat, Abdul Qayoon, Vineet Kumar, and Sunil Kumar. "De-sign of ECG data acquisition system." International Journal of Advanced Research in Computer Science and Software Engi-neering 3, no. 4 (2013).
[10] Vimala, K., and Dr V. Kalaivani. "Classification of cardiac vascular disease from ECG signals for enhancing modern health care scenario." Health Informatics-An International Journal (HIIJ) 2, no. 4 (2013): 63-72.
[11] Srivastava, V. K., and Devendra Prasad. "DWT-based feature extraction from ECG signal." American J. of Eng. Research (AJER) 2, no. 3 (2013): 44-50.
[12] Anjali Deshmukh, Yogendra Gandole , „Simulation of ECG signal using Advanced Virtual Instrumentation system Based on LAB VIEW‟, International Journal of Science and Research (IJSR), Volume 3 Issue 9, September 2014 .
[13] Abed, Bassam H., Raaed K. Ibrahim, and Mahmood Hamza Almuifraje. "Design and Implementation of ECG (Electrocar-diograph) Feature Extraction using Biomedical Workbench and LabView." International Journal of Computer Science and Mobile Computing 4, no. 5 (2015): 29-32.
[14] Savita Chandel , „A Review on Wavelet Techniques for Dif-ferent Noises Removal from ECG Signal‟, International Jour-nal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 5, May 2016.
[15] Prasad, S. Varadarajan , „ECG Signal Processing Using Digital Signal Processing Techniques‟ , International Journal of Scien-tific & Engineering Research,Volume 4, Issue 12, December- 2013.
[16] Kumar, Rakesh, and Rajvir Singh. "Design and Comparative Analysis of ECG Data Acquisition System using Low Power Microcontroller." International Journal of Bio-Science and Bio-Technology 7, no. 5 (2015): 11-20.
[17] Subha, B., Subha SV, M. Anitha, M. Eniya, and M. Gaayathri. "DESIGNING A VIRTUAL MACHINE FOR IDENTIFICA-TION OF CARDIAC ARRHYTHMIAS USING LAB VIEW." (2013).
[18] Kumar, Anil, Jagannath Malik, and Vinod Kumar. "Virtual Lab: Real-time Acquisition and Analysis of ECG Signal." In-ternational Journal of Online and Biomedical Engineering (iJOE) 7, no. 3 (2011): 19-23.
[19] Nayak, Seema, M. K. Soni, and Dipali Bansal. "Filtering tech-niques for ECG signal processing." International Journal of Research in Engineering & Applied Sciences 2, no. 2 (2012): 671-679.
[20] Kaur, Harjeet, and Rajni Rajni. "Electrocardiogram signal analysis for R-peak detection and denoising with hybrid lin-earization and principal component analysis." Turkish Journal of Electrical Engineering & Computer Sciences 25, no. 3 (2017): 2163-2175.
[21] Mohamed, Muhidin A., and Mohamed A. Deriche. "An ap-proach for ECG feature extraction using daubechies 4 (DB4) wavelet." International Journal of Computer Applications 96, no. 12 (2014).
[22] Saritha, C., V. Sukanya, and Y. Narasimha Murthy. "ECG sig-nal analysis using wavelet transforms." Bulg. J. Phys 35, no. 1 (2008): 68-77.
[23] Khelil, Besma, Abdennaceur Kachouri, Mohamed Ben Mes-saoud, and Hamadi Ghariani. "P wave analysis in ECG signals using correlation for arrhythmias detection." In 4th Interna-tional multi-conference on systems, signals & devices, vol. 3. 2007.
[24] van Alste, Jan A., W. Van Eck, and O. E. Herrmann. "ECG baseline wander reduction using linear phase filters." Com-puters and Biomedical Research 19, no. 5 (1986): 417-427.
[25] Lascu, Mihaela, and Dan Lascu. "LabVIEW electrocardiogram event and beat detection." WSEAS Trans (2008).
[26] Joshi, Anand Kumar, Arun Tomar, and Mangesh Tomar. "A review paper on analysis of electrocardiograph (ECG) signal for the detection of arrhythmia abnormalities." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 3, no. 10 (2014): 12466-12475
[27] “The ECG Leads, Polarity and Einthoven‟s Triangle – The Student Physiologist.” [Online]. Available: https://thephysiologist.org/study-materials/the-ecg-leads-polarity-and-einthovens-triangle/. [Accessed: 16-Feb-2019]
[28] Crawford, Jacqui, and Linda Doherty. "Recording a standard 12-lead ECG: filling in gaps in knowledge." Journal of Para-medic Practice 1, no. 7 (2009): 271-278.
[29] Kumar, Amit, Lillie Dewan, Mukhtiar Singh, and H. A. R. Y. A. N. A. Kurukshetra. "Real time monitoring system for ECG signal using virtual instrumentation." WSEAS Transactions on biology and biomedicine 3, no. 11 (2006): 638-643
[30] Agham, N., and V. Thool. "Labview based physiological pa-rameters monitoring system for patient health-care." Int. J. Eng. Res. Technol 3 (2014).
[31] C. Bhyri, V. Kalpana, S. Hamde, and L. Waghmare, “Estima-tion of ECG features using LabVIEW,” Int. J. Comput. …, vol. 2, no. 1, pp. 320–324, 2009.
[32] Bhyri, Channappa, V. Kalpana, S. T. Hamde, and L. M. Waghmare. "Estimation of ECG features using LabVIEW." In-ternational Journal of Computing Science and Communication Technologies 2, no. 1 (2009): 320-324.
[33] Lascu, Mihaela, and Dan Lascu. "LabVIEW electrocardiogram event and beat detection." WSEAS Trans (2008).
[34] Sörnmo, Leif, and Pablo Laguna. "Electrocardiogram (ECG) signal processing." Wiley encyclopedia of biomedical engi-neering (2006).
[35] van Alste, Jan A., W. Van Eck, and O. E. Herrmann. "ECG baseline wander reduction using linear phase filters." Com-puters and Biomedical Research 19, no. 5 (1986): 417-427.
[36] Bhyri, Channappa, Satish T. Hamde, and Laxman M. Wagh-mare. "ECG Acquisition and Analysis System for Diagnosis of Heart Diseases." Sensors & Transducers 133, no. 10 (2011): 18.
[37] Chowdhury, E., and L. C. Ludeman. "Discrimination of car-diac arrhythmias using a fuzzy rule-based method." In Com-puters in Cardiology 1994, pp. 549-552. IEEE, 1994.
[38] Bailey, James J., Alan S. Berson, Arthur Garson Jr, Leo G. Horan, Peter W. Macfarlane, David W. Mortara, and Christoph Zywietz. "Recommendations for standardization and specifica-tions in automated electrocardiography: bandwidth and digital signal processing. A report for health professionals by an ad hoc writing group of the Committee on Electrocardiography and Cardiac Electrophysiology of the Council on Clinical Car-diology, American Heart Association." Circulation 81, no. 2 (1990): 730-739.
[39] Ara, Iffat, Md Najmul Hossain, and Md Abdur Rahim. "ECG signal analysis using wavelet transform." Int J Sci Eng Res 5 (2014).
[40] Wolthuis, Roger A., Victor F. Froelicher, Andrew Hopkirk, Joseph R. Fischer, and Neal Keiser. "Normal electrocardio-graphic waveform characteristics during treadmill exercise testing." Circulation 60, no. 5 (1979): 1028-1035.

Keywords
Electrocardiogram, discrete wavelet transform, heart arrhythmia, LabVIEW.