A new method for denoising ECG signal using sharp cut-off FIR filter

Author(s):  
Subhabrata Roy ◽  
Abhijit Chandra
Keyword(s):  
2013 ◽  
Vol 284-287 ◽  
pp. 1627-1632
Author(s):  
Hsieh Chang Huang ◽  
Ching Tang Hsieh ◽  
Guang Lin Hsieh

An ultra-low power, portable, and easily implemented Holter recorder is necessary for patients or researchers of electrocardiogram (ECG). Such a Holter recorder with off-the-shelf components is realized with mixed signal processor (MSP) in this paper. To decrease the complexity of analog circuits and the interference of 60 Hz noise from power line, we use the MSP to implement a finite impulse response (FIR) filter which is equiripple design. We also integrate the ring buffer for the input samples and the symmetrical characteristic of the FIR filter for efficiently computing convolution. The experimental results show that the ECG output signal with the PQRST feature is easy to be distinguished. This ECG signal is recorded for 24 hours using a SD card. Furthermore, the ECG signal is transmitted with a smartphone via Bluetooth to decrease the burden of the Holter recorder. As a result, this paper uses the Lomb method for the spectral analysis of Heart Rate Variability (HRV) better than Fast Fourier Transform (FFT).


The emerging technology in computer architecture has led to the development of various ISAs depending on the needs of the desired technology, architectures, and processor cores. Instruction Set Architectures (ISAs) for processors from Intel, AMD, Intel, RISC-V, etc. This has provided the path to implement various functions on an open core SoC Platform. Among the many DSP applications, the FIR filter has been implemented on an open core SoC platform that uses RISCV. Here specifically filtering of noise from ECG signal. The performance cycle count has been obtained for the same and compared with its counterpart ARM M7 on the Keil platform.


Author(s):  
Divya Savani ◽  
Ukshit Prajapati ◽  
Harsh Shingala ◽  
Prashant Tanti

Author(s):  
Adam Szczepański ◽  
Khalid Saeed ◽  
Alois Ferscha

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