Improved Qrs Detector Using Parallel based Hybrid Mamemi Filter

Автор: Ramandeep Kaur Bal, Anil Kumar

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 3 vol.9, 2017 года.

Бесплатный доступ

QRS detection is becoming more popular in detecting the heart beat rate. The improvement is done by using the new filter. The data and control parallelism is used in order to improve the execution time and speed of the parallel based hybrid MAMEMI filter technique This research work focus on providing better performance in heart beat detection algorithm by using parallel hybrid filter.An enhanced algorithm has been proposed to enhance the performance of QRS detection. Different parameters are used for the performance analysis. Accuracy,F_Measure, and Detection_Error_rate are the parameters which are used to evaluate the performance of heart beat algorithm. The results of proposed algorithm are compared with existing heart beat detection algorithm for performance comparison. On the other hand the performance of the proposed method is also improved using parallelism. Parallel proposed method shows better results than Sequential proposed method. The Mean improvement in execution time is 0.80.

Еще

Electrocardiogram, QRS detector, hybrid MaMeMi filter, Baseline wander, parallelism

Короткий адрес: https://sciup.org/15014173

IDR: 15014173

Список литературы Improved Qrs Detector Using Parallel based Hybrid Mamemi Filter

  • E.Arrais Junior, R. A. de Medeiros Valentim and G. Bezerra Brandao, "Real Time QRS Detection Based on Redundant Discrete Wavelet Transform," in IEEE Latin America Transactions, vol. 14, no. 4, pp. 1662-1668, April 2016.
  • B. T. Krishna, "QRS detection using digital differentiators," Electrical Engineering and Informatics (ICEEI), 2015 International Conference on, Denpasar, 2015, pp. 356-359.
  • G. Vega-Martínez, C. Alvarado-Serrano and L. Leija-Salas, "Wavelet packet based algorithm for QRS region detection and R/S wave identification," Electrical Engineering, Computing Science and Automatic Control (CCE), 2015 12th International Conference on, Mexico City, 2015, pp. 1-6.
  • Jian Liu, Xinxin Tan, Ci Huang and Xin Ji, "A dual-lead fusion detection algorithm of QRS," Third International Conference on Cyberspace Technology (CCT 2015), Beijing, 2015, pp. 1-6.
  • F. Abdelliche, A. Charef and S. Ladaci, "Complex fractional and complex Morlet wavelets for QRS complex detection," Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on, Catania, 2014, pp. 1-5.
  • Nagal and S. Sharma, "Simultaneous 12-lead QRS detection by K-means clustering algorithm," Recent Advances and Innovations in Engineering (ICRAIE), 2014, Jaipur, 2014, pp. 1-4.
  • Y. Nakai et al., "Noise tolerant QRS detection using template matching with short-term autocorrelation," 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 34-37.
  • D. Hernando, R. Bailón, R. Almeida and A. Hernández, "QRS detection optimization in stress test recordings evolutionary algorithms," Computing in Cardiology 2014, Cambridge, MA, 2014, pp. 737-740.
  • S. R. Yang, S. C. Hsu, S. W. Lu, L. W. Ko and C. T. Lin, "Development of adaptive QRS detection rules based on center differentiation method for clinical application," 2012 IEEE International Symposium on Circuits and Systems, Seoul, 2012, pp. 2071-2074.
  • I. L. b. Ahmad, M. b. Mohamed and N. A. b. Ab Ghani, "Development of a concept demonstrator for QRS complex detection using combined algorithms," Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on, Langkawi, 2012, pp. 689-693.
  • G. Zhengzhong, K. Fanxue and Z. Xu, "Accurate and Rapid QRS Detection for Intelligent ECG Monitor," 2011 Third International Conference on Measuring Technology and Mechatronics Automation, Shangshai, 2011, pp. 298-301.
  • M. K. Das, S. Ari and S. Priyadharsini, "On an algorithm for detection of QRS cis omplexes in noisy electrocardiogram signal," 2011 Annual IEEE India Conference, Hyderabad, 2011, pp. 1-5.
Еще
Статья научная