Title :
A fast adaptive filter for electrocardiography
Author :
Acharya, Soumyadipta ; Mugler, Dale H. ; Taylor, Bruce C.
Author_Institution :
Dept. of Biomed. Eng., Akron Univ., OH, USA
Abstract :
A new adaptive filter structure is proposed to reduce power line interference from ECGs. It is based on the principle of continuously tracking the frequency, amplitude and phase of the noise, using a modified form of the short time Fourier transform. This information is used to reconstruct the noise signal, which is then subtracted from the noisy ECG. The method was tested using ECGs from the MIT-BIH database with superimposed noise of varying amplitude and frequency (60 Hz +/- 5 Hz). It was found to be efficient even at low sampling rates. The process is computationally simple enough for real time implementation. It also obviates the need for a reference input. This technique can be applied to many other bipotential signals, and can be adapted for hardware implementation.
Keywords :
Fourier transforms; adaptive filters; electrocardiography; interference (signal); medical signal processing; noise; 55 to 65 Hz; MIT-BIH database; bipotential signals; electrocardiography; fast adaptive filter; noise amplitude; noise frequency; noise phase; noise signal reconstruction; reduce power line interference; short time Fourier transform; Adaptive filters; Databases; Electrocardiography; Fourier transforms; Frequency; Interference; Noise level; Phase noise; Signal sampling; Testing;
Conference_Titel :
Bioengineering Conference, 2004. Proceedings of the IEEE 30th Annual Northeast
Print_ISBN :
0-7803-8285-4
DOI :
10.1109/NEBC.2004.1300015