guevaracodina
Edgar Guevara, CONAHCYT research fellow at UASLP-CIACYT, focuses on non-invasive medical diagnosis using fNIRS optical imaging and biomedical signal processing.
CONAHCYT-UASLPSan Luis Potosi, Mexico
Pinned Repositories
asana
Illuminating the Neurological Impacts of Yoga Asana: A mobile fNIRS study
CNN_epileptic_seizure_prediction
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals
fNIRS_Parkinson
Code to process the fNIRS data of Parkinson's Disease Patients and matched controls available in Guevara, E., et al. Zenodo. https://doi.org/10.5281/zenodo.7966830
MexicanBaseball
Analysis of the physical construction of the new baseball and its association with an increase in offensive statistics
oct12
SPM8-Compatible Optical Coherence Tomography Toolbox
raman-diabetes
The dataset of our work where the application of portable Raman spectroscopy coupled with several supervised machine-learning techniques, is used to discern between diabetic patients (DM2) and healthy controls (Ctrl), with a high degree of accuracy. This script pre-processes the spectra to reproduce Fig. 1 of our paper: Use of Raman Spectroscopy to Screen Diabetes Mellitus with Machine Learning Tools Edgar Guevara, Juan Carlos Torres-Galván, Miguel G. Ramírez-Elías, Claudia Luevano-Contreras and Francisco Javier González Biomedical Optics Express (2018) _______________________________________________________________________________ Copyright (C) 2018 Edgar Guevara, PhD CONACYT-Universidad Autónoma de San Luis Potosí Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología _______________________________________________________________________________
RamanCOVID19
Identification of COVID-19 virus (SARS-CoV-2) in human sera by Raman Spectroscopy and Multi-class Support Vector Machines
sf2_countdown_bulbs
The im2sf2bulbcountdown function converts a binary image into an RGB image by replacing each pixel with predefined 16x16 pixel images based on specific surrounding pixel patterns (from the Street Fighter countdown bulbs), then saves and displays the resulting image.
ssoct
Swept Source Optical Coherence Tomography
vancouver
Implementation of the Vancouver Raman Algorithm. Reference: Zhao, J., Lui, H., McLean, D. I., & Zeng, H. (2007). Automated Autofluorescence Background Subtraction Algorithm for Biomedical Raman Spectroscopy. Applied Spectroscopy, 61(11), 1225–1232.
guevaracodina's Repositories
guevaracodina/raman-diabetes
The dataset of our work where the application of portable Raman spectroscopy coupled with several supervised machine-learning techniques, is used to discern between diabetic patients (DM2) and healthy controls (Ctrl), with a high degree of accuracy. This script pre-processes the spectra to reproduce Fig. 1 of our paper: Use of Raman Spectroscopy to Screen Diabetes Mellitus with Machine Learning Tools Edgar Guevara, Juan Carlos Torres-Galván, Miguel G. Ramírez-Elías, Claudia Luevano-Contreras and Francisco Javier González Biomedical Optics Express (2018) _______________________________________________________________________________ Copyright (C) 2018 Edgar Guevara, PhD CONACYT-Universidad Autónoma de San Luis Potosí Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología _______________________________________________________________________________
guevaracodina/ssoct
Swept Source Optical Coherence Tomography
guevaracodina/oct12
SPM8-Compatible Optical Coherence Tomography Toolbox
guevaracodina/RamanCOVID19
Identification of COVID-19 virus (SARS-CoV-2) in human sera by Raman Spectroscopy and Multi-class Support Vector Machines
guevaracodina/CNN_epileptic_seizure_prediction
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals
guevaracodina/vancouver
Implementation of the Vancouver Raman Algorithm. Reference: Zhao, J., Lui, H., McLean, D. I., & Zeng, H. (2007). Automated Autofluorescence Background Subtraction Algorithm for Biomedical Raman Spectroscopy. Applied Spectroscopy, 61(11), 1225–1232.
guevaracodina/sers
Estimates surface-enhanced Raman spectroscopy (SERS) enhancement factor.
guevaracodina/asana
Illuminating the Neurological Impacts of Yoga Asana: A mobile fNIRS study
guevaracodina/barrier_grid_animation
Barrier-grid animation (a.k.a. picket-fence animation or kinegram) is an animation effect created by moving a striped transparent overlay across an interlaced image.
guevaracodina/collatz
checks for the Collatz conjecture for a given number
guevaracodina/erathostenes
The Sieve of Eratosthenes
guevaracodina/fNIRS_Parkinson
Code to process the fNIRS data of Parkinson's Disease Patients and matched controls available in Guevara, E., et al. Zenodo. https://doi.org/10.5281/zenodo.7966830
guevaracodina/ioi11
SPM8-Compatible Intrinsic Optical Imaging Toolbox
guevaracodina/MATwordle
MATLAB adaptation of Wordle https://www.powerlanguage.co.uk/wordle/
guevaracodina/MexicanBaseball
Analysis of the physical construction of the new baseball and its association with an increase in offensive statistics
guevaracodina/modularArithmetic
Modular arithmetic or modulo multiplication circle
guevaracodina/niceOrbits
Simulations of dynamical systems to generate visually appealing orbit patterns.
guevaracodina/nirs10
SPM8-Compatible Near-InfraRed Spectroscopy Toolbox
guevaracodina/pat12
SPM8-Compatible PhotoAcoustic Tomography Toolbox
guevaracodina/styles
Official repository for Citation Style Language (CSL) citation styles.
guevaracodina/sf2_countdown_bulbs
The im2sf2bulbcountdown function converts a binary image into an RGB image by replacing each pixel with predefined 16x16 pixel images based on specific surrounding pixel patterns (from the Street Fighter countdown bulbs), then saves and displays the resulting image.
guevaracodina/PFC_fNIRS
Prefrontal cortex activation and functional connectivity during human male orgasm measured with fNIRS