Adaptive Artifact Cancelation Based on Bacteria Foraging Optimization for ECG Signal

被引：0
作者：
Agya Ram Verma
Yashvir Singh
机构：
[1] Govind Ballabh Pant Engineering College,
来源：
Augmented Human Research | 2019年 / 4卷 / 1期
关键词：
AAC filter; ABC; BFO; ECG; MPSO; PSO;
D O I：
10.1007/s41133-019-0014-5
中图分类号：
学科分类号：
摘要：
In this paper, the design of adaptive artifact canceler (AAC) filter using bacteria foraging optimization (BFO) algorithm is presented. The performance of proposed AAC filter is tested on a corrupted ECG signal. Based on simulation results, it is observed that the AAC filter designed with BFO technique achieves significant improvement in fidelity parameters such as SNR, NRMSE, and NRME when compared with other reported algorithms in the literature. AAC filter based on BFO technique provides 6 dB improvement in output SNR, 85% reduction in NRMSE, and 90% lower NRME as compared to recently reported AAC filter based on ABC-SF algorithm. Further, AAC filter using BFO technique enhances the coherence between pure and reconstructed ECG signals.
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