1Grupo de Investigación en Bioingeneŕıa, Electrónica y Telemedicina, Departamento de Ingeneŕıa Electrónica, Escuela Politécnica Superior de Gandı́a, Universidad Politécnica de Valencia (UPV), Ctra. Nazaret-Oliva, 46730 Gandı́a, Spain 2Communications Technology Group, Aragón Institute of Engineering Research, University of Zaragoza, 50018 Zaragoza, Spain 3 Signal Processing Group, Department of El...

Theory of wavelet transform is a young branch of applied mathematics extensively developing from early 1980's. Recently, the wavelet transform is studied increasingly with applications to digital signal processing and analysis including data compression. This paper briefly introduces theory of wavelet transform and shows several promising applications in cardiology. Also, examples of the use of...

Traditional ECG acquisition system lacks for flexibility. To improve the flexibility of ECG acquisition system and the signal-to-noise ratio of ECG, a new ECG acquisition system was designed based on DAQ card and Labview and oversampling was implemented in Labview. And analog signal conditioning circuit was improved on. The result indicated that the system could detect ECG signal accurately wit...

Research in computerized electrocardiography is heading towards stagnation but very little efforts have been made for popularizing it and ensuring its availability to the masses. Although the quantitative ECG is superior to its conventional counterpart but the former is yet to be accepted in clinical practice in India. An attempt has been made o develop quantitative ECG acquisition and classifi...

The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability, requiring the acquisition of ECG at the chest. In this paper, we propose a finger-based ECG biometric system, that uses signals collected at the fingers, through ...

Electrocardiogram (ECG) is an important biomedical signal for analyzing heart activity. Analysis of ECG becomes difficult if noise is augmented with the signal during acquisition. During recent years, several denoising techniques were analyzed within the field of signal processing. In this paper, non local means (NLM) filtering technique is explored for denoising the ECG signal. The noisy ECG s...

This paper presents the spectrogram effect of biomedical signal, especially for ECG. Simulation module developed for the spectrogram implementation. Spectrogram based on ECG signal and power spectral density together with off-line evaluation has been observed. ECG contains very important clinical information about the cardiac activities of heart. The features of small variations in ECG signal w...