Development of a concept demonstrator for QRS complex detection using combined algorithms

Ahmad, Ida Laila; Mohamed, Masnani; Ghani, Norul Ain binti Ab

doi:10.1109/iecbes.2012.6498034

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…(2012) [10] has proposed combined algorithms for detection of QRS complex. For the preprocessing stage the proposed method makes use of Hillbert transform and Wavelet base.…”

Section: Related Workmentioning

confidence: 99%

Improved Qrs Detector Using Parallel based Hybrid Mamemi Filter

Bal¹,

Kumar²

2017

IJIGSP

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Abstract-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.

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“…(2012) [10] has proposed combined algorithms for detection of QRS complex. For the preprocessing stage the proposed method makes use of Hillbert transform and Wavelet base.…”

Section: Related Workmentioning

confidence: 99%