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Juan Manuel Mayor Torres's Projects

abatech_ai_test icon abatech_ai_test

This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.

embed-pdf icon embed-pdf

Adds pseudo oembed support for PDF documents to WordPress using Google Document Viewer

gpt_superapi_quiz icon gpt_superapi_quiz

Repository releasing a Quiz app powered by SuperAPI and ChatGPT application requests. The application has adaptable difficulty and multiple users can access it and save their results depending on the questions given by the application. I called it GPT_superAPI_Quiz

heal-t-an-efficient-ppg-based-heart-rate-and-ibi-estimation-method-during-physical-exercise icon heal-t-an-efficient-ppg-based-heart-rate-and-ibi-estimation-method-during-physical-exercise

This repository contains a functional code composed by Matlab and bash codes for Interbeat-interval (IBI), Heart-rate (HR) calculation, and HRV metrics from an artifactual Blood Volume Pulse (BVP) signal, and a corresponding accelerometer. Please refer to our paper from EUSIPCO 2016 Torres, J. M. M., Ghosh, A., Stepanov, E. A., & Riccardi, G. (2016, August). Heal-t: An efficient ppg-based heart-rate and ibi estimation method during physical exercise. In 2016 24th European Signal Processing Conference (EUSIPCO) (pp. 1438-1442). IEEE.

mypy icon mypy

Optional static typing for Python 3 and 2 (PEP 484)

sincnet-for-autism-eeg-based-emotion-recognition icon sincnet-for-autism-eeg-based-emotion-recognition

This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres ([email protected]) and Mirco Ravanelli (Mila)

sleep_eeg_data_denoising_dreem icon sleep_eeg_data_denoising_dreem

This repository contains the .m files used for denoising and removing artifacts in sleep EEG data collected from the Dreem ambulatory device under very noisy conditions. This repository is available for people from Filbey's Lab in University of Texas at Dallas (UTD) https://labs.utdallas.edu/filbeylab/

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