Master's thesis - Assessment of cognitive load in extreme environment
-
Updated
Feb 2, 2024 - Jupyter Notebook
{{ message }}
Master's thesis - Assessment of cognitive load in extreme environment
Analysis of bioelectrical signals recorded in the Laboratory of Bioelectrical Signals.
Biosignal Processing in Python
EDA and Correlation between Sleep Parameters and Stress Level.
Collection of deep learning-based sleep stage classification models
Documentation and transparencies used during the defense of my Bachelor's Thesis (in spanish)
A platform to record and analyze biosignals such as ECG developed with DJANGO.
Official repository for "Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram".
A signal quality assessment pipeline and dashboard for wearable physiological data
Music made with data from bio-sensing
MATLAB code for processing and analysing sEMG signals to study neuromuscular asymmetry in forearms. Developed for a BSc in Electrical and Computer Engineering at the Polytechnic Institute of Bragança (IPB). The code uses a mix of Portuguese and English.
Physiological Data Acquisition Tool for Low Cost Computer Systems
Semi-automatic, single threaded application to support data mining operations on the "Driving Dataset" from hcilab
Go socket client capturing bio-signals sent from MaP1058
Tools and algorithms for biosignal processing.
Various methods for processing biosignals and images using MATLAB.
Reports, code and other learning materials of BM2102 Modelling and Analysis of Physiological Systems
Classification of biosignals, including EEG and MEG, through feature extraction in the time and frequency domains using machine learning methods.
A curated collection of hands-on projects from my Medical Equipment course, exploring the design and simulation of real-world biomedical systems. From smart incubators with sensor integration to hemodialysis flow modeling, each project blends clinical insight with embedded systems, electronics, and control theory.
Add a description, image, and links to the biosignals topic page so that developers can more easily learn about it.
To associate your repository with the biosignals topic, visit your repo's landing page and select "manage topics."