A Power Efficient ECG Front-End with Input-Adaptive Gain Reaching 67.6-dB Dynamic Range

Liu, Liheng; Zhang, Yanlong; Li, Dong; Xin, Youze; Gao, Shengwei; Geng, Li

doi:10.1109/a-sscc48613.2020.9336108

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…While the signal acquisition processes the digital signal processing is applied. Inappropriately the ECG waveform is developed still dirty the PLI (Liheng et al, 2020). If the PLI’s amplitude is greater than 1% of the ECG’s amplitude, it affects the diagnosis of the medical specialists (Chiang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

PLI cancellation in ECG signal using intrinsic time scale decomposition with adaptive gain control

Bharadwaj

Chennupati

2021

JEDT

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Purpose The purpose of this manuscript is to detect heart fault using Electrocardiogram. Mutually low and high frequency noises such as electromyography (EMG) and power line interference (PLI) degrades the performance of ECG signals. Design/methodology/approach The ECG record depicts the procedural electrical movement of the heart, which is non-invasive foot age obtained by placing surface electrodes on designated locations of the patient’s skin. The main concept of this manuscript is to present a novel filtering method to cancel the unwanted noises in ECG signal. Here, intrinsic time scale decomposition (ITD) is introduced to suppress the effect of PLI from ECG signals. Findings In the existing ITD, the gain control parameter is a constant value; however, in this paper it is an adaptive feature that varies according to certain constraints. Simulation outcomes show that the proposed method effectively reduces the effect of PLI and quantitatively express the effectiveness with different evaluation metrics. Originality/value The results found by the proposed method are compared with Fourier decomposition technique and eigen value decomposition methods (EDM) to validate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%