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Pattern recognition in data as a diagnosis tool
Medical data often appear in the form of numerical matrices or sequences. We develop mathematical tools for automatic screening of such data in two...
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SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks
BackgroundThe high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the...
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Recent Developments on the Realization of Fractance Device
A detailed analysis of the recent developments on the realization of fractance device is presented. A fractance device which is used to exhibit...
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Pattern Recognition for Supporting the Replacement of Medical Equipment at Mexican Institute of Pediatrics
The objective of this work was to develop an evaluation tool based on multi-criteria decision analysis (MCDA), for the replacement of older medical...
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Exploring DTI Benchmark Databases Through Visual Analytics
Diffusion MRI studies include tests on standardised phantoms and measurements on the output images to assess and benchmark the imaging system. These...
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Modeling Biomechanics in the Healthy and Diseased Heart
The hierarchical construction of the myocardium plays a pivotal role in the biomechanics of the heart muscle and the resulting flow of blood. In...
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A Time-Series Approach to Assess Physiological and Biomechanical Regulatory Mechanisms
In various areas of Medicine there is interest to incorporate information on homeostasis and regulation to increase the predictive power of...
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Independent Component Analysis
Blind source separation is a basic topic in signal and image processing. Independent component analysis is a basic solution to blind source...
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Scalable Gromov–Wasserstein Based Comparison of Biological Time Series
A time series is an extremely abundant data type arising in many areas of scientific research, including the biological sciences. Any method that...
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Adaptive Rational Transformations in Biomedical Signal Processing
In this paper we provide a summary on our recent research activity in the field of biomedical signal processing by means of adaptive transformation...
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Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis
Obstructive sleep apnea (OSA) is a wide-spread condition that results in debilitating consequences including death. Diagnosis is a lengthy and...
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Fractals
Fractals are not just a matter of geometry but have a number of applications for the well-being of life. Fractal properties are useful in medical...
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Applications in Signal Processing
Signal processing has become an essential part of contemporary scientific and technological activity. Signal processing is used in telecommunications...
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Time-War** Invariants of Multidimensional Time Series
In data science, one is often confronted with a time series representing measurements of some quantity of interest. Usually, in a first step,...
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Risk and complexity in scenario optimization
Scenario optimization is a broad methodology to perform optimization based on empirical knowledge. One collects previous cases, called “scenarios”,...
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Twisty Takens: a geometric characterization of good observations on dense trajectories
In nonlinear time series analysis and dynamical systems theory, Takens’ embedding theorem states that the sliding window embedding of a generic...
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Fourier Methods with Applications
Fourier method or Fourier analysis is a branch of mathematics that was developed formally some 150 years after Newton’s and Leibniz’ calculus and...
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A Correction Method of Electrocardiographic Interval Subject to Heart Rate
This paper considers the calculation problem of the heart rate-normalized electrocardiographic interval—an important indicator of cardiac...