Title :
A reconfigurable overlapping FFT/IFFT filter for ECG signal de-noising
Author :
Nannan Zhang ; Zedong Nie ; Yu Luo ; Leilei Du ; Xiaohui Wang ; Lei Wang
Author_Institution :
Shenzhen Key Lab. for Low-cost Healthcare, Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
Dynamic Electrocardiograph (ECG) monitoring (known as Holter) plays an important role in the earlier detection and diagnosis of various cardiovascular diseases. ECG signals obtained from Holter systems normally contain a lot of noises and artifacts. These noises degrade signal quality, which may be critical for routine monitoring and diagnosis. To solve the problem, a reconfigurable overlapping fast Fourier transform/ inverse fast Fourier transform (FFT/IFFT) filter for suppressing the power-line interference and the high-frequency noise is presented in this paper. The filter is based on a 12-lead Holter system with a high-performance analogue front-end and a field-programmable gate array (FPGA) for enhanced digital processing. This paper analyzes the performance of the reconfigurable overlapping FFT/IFFT filter in ECG de-noising applications and validate it by real-world emulations. Furthermore, the de-noising performance of the reconfigurable overlapping FFT filter was evaluated.
Keywords :
band-pass filters; electroencephalography; fast Fourier transforms; field programmable gate arrays; inverse transforms; medical signal processing; signal denoising; ECG signal denoising; cardiovascular disease detection; cardiovascular disease diagnosis; dynamic electrocardiograph monitoring; field-programmable gate array; high-frequency noise; high-performance analogue front-end; inverse fast Fourier transform filter; power-line interference suppression; reconfigurable overlapping FFT-IFFT filter; twelve-lead Holter system; Band-pass filters; Electrocardiography; Field programmable gate arrays; Interference; Medical services; Monitoring; Noise; ECG de-noising; FPGA; Filter; Overlapping FFT; Reconfigurable;
Conference_Titel :
Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
Conference_Location :
Chung Li
Print_ISBN :
978-1-4799-2769-2
DOI :
10.1109/ISBB.2014.6820925