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Luis Parrilla

Researcher at University of Granada

Publications -  80
Citations -  750

Luis Parrilla is an academic researcher from University of Granada. The author has contributed to research in topics: Digital signature & Computer science. The author has an hindex of 12, co-authored 67 publications receiving 632 citations. Previous affiliations of Luis Parrilla include University of Seville.

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Journal ArticleDOI

IPP@HDL: Efficient Intellectual Property Protection Scheme for IP Cores

TL;DR: A procedure for intellectual property protection of digital circuits called IPP@HDL is presented, which relies on hosting the bits of the digital signature within memory structures or combinational logic that are part of the system at the high level description of the design.
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Efficient wavelet-based ECG processing for single-lead FHR extraction

TL;DR: This novel method is divided in two stages: the first step consists on a one-step wavelet-based preprocessing for simultaneous baseline and high-frequency noise suppression, while the second stage efficiently detects fetal QRS complexes allowing FHR monitoring.
Proceedings ArticleDOI

Ring oscillators as thermal sensors in FPGAs: Experiments in low voltage

TL;DR: In this article, a non-linear effect in the frequency-temperature response has been detected, and the sensibility of frequency with respect to voltage variations is greater than the measured in previous works.
Journal ArticleDOI

Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques

TL;DR: This paper illustrates the application of the discrete wavelet transform (DWT) for wandering and noise suppression in electrocardiographic (ECG) signals with a novel one-step implementation, which allows improving the overall denoising process.
Journal ArticleDOI

An application of reconfigurable technologies for non-invasive fetal heart rate extraction.

TL;DR: The use of a reconfigurable system for fetal electrocardiogram (FECG) estimation from mother's abdomen ECG measurements is illustrated, which suffice for the processing of real FECG signals from biomedical databases, as the presented results illustrate.