Juan J. Galiana-Merino

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The P seismic phase first arrival identification is a fundamental problem in seismology. The accurate identification of the P-wave first arrival is not a trivial process, especially when the seismograms present a very low signal-to noise ratio (SNR) or are contaminated with artificial transients that could produce false alarms. In this paper, a new approach(More)
Power line interference is one of the main problems in surface electromyogram signals (EMG) analysis. In this work, a new method based on the stationary wavelet packet transform is proposed to estimate and remove this kind of noise from EMG data records. The performance has been quantitatively evaluated with synthetic noisy signals, obtaining good results(More)
The wavelet packet transform gives information in both the time and frequency domains, and it is very useful for describing nonstationary signals like seismograms. Moreover, this structure is dependent on the signal under study; hence we can choose the time–frequency decomposition more appropriate for every signal. In this article, we propose a new method(More)
Breast cancer is the most common cancer in women. Many clinical decision support systems aimed to help in the diagnosis of breast cancer have been developed because an early diagnosis is fundamental to improve the results of the treatment. Most of the developments are aimed to detect microcalcifications using the same system and parameters for all the(More)
This paper shows an iOS application to guide visual disabled people in the campus of the University of Alicante by voice indications. The user interface is adapted to visual disabled people, using a bigger visual typography and a bigger area for the tactile buttons. Moreover, the application provides voice indications when users touch any of the elements in(More)
This paper presents a proposal for filtering electrooculogram signals using the Discrete Wavelet and the Discrete Wavelet Packet Transforms. We compare our proposal with other digital filters commonly used for this type of biological signals, evaluating the results in terms of signal-to-noise ratio improvement, energy, correlation coefficient and mean(More)