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As a methodology for automatic detection of Parkinson's disease (PD), it is proposed the estimation of the different glottal flow features considering nonlinear behavior of the vocal folds. This paper evaluates the discrimination capability of set with eight different Nonlinear Dynamic (NLD) features. The experiment presented considering the five Spanish vowels uttered by 50 People with PD (PPD) and...
The electronic and computational development has helped to create many new applications where the principal idea is obtaining better results in case of an emergency. Over time, we have investigated about new processes and strategies to analyze data, and how to use by audiovisual media to teach people to respond to emergency response, or any natural disaster as a seism.
The development of a technique for high spatial and temporal resolution film thickness measurement in oil-water flow is presented. A capacitance measurement system is used to measure thin water films near to the wall pipe. The system consists of seven parts: a signal generator, analog multiplexers, a planar sensor, auto-balancing bridges, logarithmic amplifiers, an analog-digital converter and a control...
Dimensionality reduction (DR) methods represent a suitable alternative to visualizing data. Nonetheless, most of them still lack the properties of interactivity and controllability. In this work, we propose a data visualization interface that allows for user interaction within an interactive framework. Specifically, our interface is based on a mathematic geometric model, which combines DR methods...
Binaural hearing aids have been recognized as the most optimal strategy to improve hearing in people with hearing impairment in both ears. In this sense, to improve hearing in noisy environments, binaural methods outperform monaural methods with respect to noise reduction, speech intelligibility and sound quality. Among binaural noise-reduction methods, multichannel Wiener filters (MWF) have shown...
The automatic detection of objects of interest from video sequences is a task of great importance for computer vision applications. Mostly, the detection of these objects is performed using supervised classification techniques, requiring a set of labeled training samples, known as ground truth data. These training samples are commonly labeled by a manual process using rectangular regions (bounding...
Blood analysis is very important to establish the health state of a patient in order to diagnose diseases like Leukemia, one of the top causes of children mortality in Latin America, for this reason the complete blood count (CBC) is the entry examination performed by specialists. Regarding Leukemias, Leukocytes are the most studied blood components compared to Red Blood Cells and Platelets, their...
Superpixel segmentation has been developed in many ways, like an optimized recognition system's research, making faster and sturdy ways to calculate superpixels and segmenting information from the real world, by now the result has lead to implement SLIC Superpixels method, which is a low hardware requirement code, inside an embedded system, making it as fast as possible, to accomplish the need of...
The coded aperture snapshot spectral imaging (CASSI) system is an optical architecture designed to capture spectral images using the compressive sensing (CS) concepts. CASSI senses the spectral information of a three dimensional scene by using two-dimensional coded focal plane array (FPA) projections. The CASSI system improves the sensing speed and reduce the large amount of collected data given by...
Computer vision systems allow identifying physical characteristics and product defects in a non-invasive and reliable form. Due to these advantages, computer vision systems have been widely accepted in the agricultural and food industries, since these industries require a high demand for objectivity, consistency and efficiency in the quality control of the product, requirements that can be met by...
Current technologies and methods for cutting pieces of a raw material, have a big limitation, and without despising its efficacy and precision, its scope and area of work limit the materials that are possible to manufacture in only process stage; This is a task of an area of research how to solve this disadvantage without losing the efficiency of the past technologies.
In this paper we present an image rectification method for a multi-view image set captured by a mobile and articulated camera arrangement. The cameras are located in individual modules, each module consist in a camera, a single actuator and a proprioceptive angle sensor (servomotor encoder). Each module is connected to other modules in a linear chain configuration, with the restriction that the optical...
This paper introduces a new methodology for design of R-wave detection algorithm implemented using NI LabVIEW. This algorithm adopts the integration of a band pass filter and threshold estimate adaptive based on histograms of ECG signals. The R wave is the largest positive value of the electrocardiographic signal (ECG), which is used as reference for the proposed algorithm. The detection process of...
The electroencephalography is a technique used in brain mapping with applications in research and clinical practice. The current work aims to assess the reliability of quantitative electroencephalography and coherence measurements. Two electroencephalography sessions, obtained 4 to 6 weeks apart during resting state and memory condition, were recorded in 15 young healthy subject. For each subject...
This article describes the development of a human motion analysis system, designed to study the gait cycle, and to catch up the information in a continuous and uninterrupted manner, in real time. So that, this system can be used by health professionals related to the diagnosis of walking problems. This device is comprised of a hardware and a software to capture, store, process and visualize the body...
The diagnosis of patients with Disorders Of Consciousness represents a challenge in the clinical routine. Recently, Brain Computer Interfaces based in Electroencephalography (EEG-BCI) have been used to detect signs of consciousness in these patients. This approach allows to discover brain responses to command following. Nevertheless, a reliable BCI strategy must to be able to determine the commands...
Multicarrier optical systems are expected to allow data transmission above 100 Gbps in the next generation long-haul optical networks with a minimum spectral separation between carriers to increase spectral efficiency. Nevertheless, closely separation between optical carriers cause Interchannel interference (ICI) due to the inherent non-linear effects associated to optical fiber such as self-phase...
In this document an algorithm is proposed to identify the state (available/occupied) of the parking spaces in outdoor areas. The algorithm was developed based on two features: the average local entropy, and the standard deviation of the average entropies of subregions of each parking space. The algorithm delivers a binary map, which contains the number of each parking space with its attributes such...
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