Title :
Noise Cancellation on ECG and Heart Rate Signals Using the Undecimated Wavelet Transform
Author :
Hernandez, Oscar ; Olvera, Edgar
Author_Institution :
Div. de Ing. y Arquitectura, Inst. Tecnol. y de Estudios Superiores de Monterrey, Queretaro
Abstract :
This article describes the research carried out to eliminate the noise found in ECG signals and cardiac rhythm. The purpose to obtain clarity and reliability in the acquiring signals which can later be interpreted by a specialist. The work is based on the use of the undecimated wavelet transform (UWT). In order to get a better identification of the acquired signal the wavelet filter D6 (Daubechies) was chosen, primarily because its scaling function is closely related to the shape of the ECG, fitting very well with the applications constraints. The processed signals were acquired using an amplifying board of bioelectrical signals (front-end board) and a NI PCI-6221 data acquisition board with a sampling frequency of 200 Hz. The ECG signals are obtained through the implant of electrodes connected to a channel of the front-end board. The cardiac rhythm is then obtained using an optic dactilar sensor connected to an independent channel of the ECG signal. The amplifying board was designed and developed for researching purposes on the telemedicine and signal processing area. The application to denoise the ECG signal was developed by LabViewreg and is capable of graphically showing the data before and after itpsilas processed.
Keywords :
data acquisition; electrocardiography; filtering theory; medical signal processing; signal denoising; wavelet transforms; ECG signal denoising; Lab View; NI PCI-6221 data acquisition board; bioelectrical signals; cardiac rhythm; electrodes; frequency 200 Hz; heart rate signals; noise cancellation; optic dactilar sensor; scaling function; signal processing; telemedicine; undecimated wavelet transform; wavelet filter D6; Electrocardiography; Filters; Heart rate; Noise cancellation; Optical sensors; Optical signal processing; Rhythm; Shape; Signal processing; Wavelet transforms; ECG; noise cancelation; wavelet transform;
Conference_Titel :
eHealth, Telemedicine, and Social Medicine, 2009. eTELEMED '09. International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3360-5
Electronic_ISBN :
978-0-7695-3532-6
DOI :
10.1109/eTELEMED.2009.49