Intelligent system for detecting cardiac arrhythmia on FPGA

Zairi, Hadjer; Kedir-Talha, Malika; Benouar, Sara; Ait-Amer, Amine

doi:10.1109/iacs.2014.6841953

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…The authors of [15–23] discuss various approaches to detect the QRS complex and its implementation on hardware. Among them [15, 17, 20] adopt the PTA‐based QRS detection. A median‐based thresholding is further used in [15] for PTA.…”

Section: Resultsmentioning

confidence: 99%

Light‐weight configurable architecture for QRS detection

Jain

Mishra

2019

IET Computers & Digital Techniques

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In this study, the authors present a configurable architecture having gate count of ≃ 3.2k and on the fly reconfigurability for low-power biomedical applications such as QRS detection, ExG processing etc. The proposed architecture is a lightweight co-processor that supports on-node digital signal and image processing functions potentially eliminating the power consumed by radios in wireless sensor node and body sensor network. The architecture consists of a 3 × 3 array of register units along with adaptive memory with configurable data path. The architecture can be configured on-the-fly for seven functions with the current memory structure. However, more number of functions can be targeted with increased memory. They demonstrate the realisation of Pan-Tompkins algorithm commonly used for QRS detection on the proposed architecture using the reconfigurability. This work offers ≈ 4 × reduced area and 2.3 × increase in performance with respect to the existing contemporary literature.

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Section: Resultsmentioning

confidence: 99%

Light‐weight configurable architecture for QRS detection

Jain

Mishra

2019

IET Computers & Digital Techniques

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“…ECG-based heart rate calculation involves the step of detecting the R wave of the QRS complex. The most common method for detecting the R wave is the Pan-Tompkins algorithm [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Recording of ICG and ECG Using Z-RPI Device with Minimum Number of Electrodes

et al. 2018

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Impedance cardiography (ICG) is a noninvasive method for monitoring mechanical function of the heart with the use of electrical bioimpedance measurements. This paper presents the feasibility of recording an ICG signal simultaneously with electrocardiogram signal (ECG) using the same electrodes for both measurements, for a total of five electrodes rather than eight electrodes. The device used is the Z-RPI. The results present good performance and show waveforms presenting high similarity with the different signals reported using different electrodes for acquisition; the heart rate values were calculated and they present accurate evaluation between the ECG and ICG heart rates. The hemodynamics and cardiac parameter results present similitude with the physiological parameters for healthy people reported in the literature. The possibility of reducing number of electrodes used for ICG measurement is an encouraging step to enabling wearable and personal health monitoring solutions.

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