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dropredict

An open source software to predict droplet size for flat-fan sprays

ebcs-fs

Extended Binary Cuckoo Search for Feature Selection

ecg_simulator

Arduino Menta ECG Simulator project

echo-generation

GAN-enhanced Conditional Echocardiogram Generation

echomods

Open source ultrasound processing modules and building blocks

eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

eeg-based-emotion-recognition-on-deap

eeg-head-phantom

Information about head phantoms created for evaluating EEG equipment

eeg-processing-toolbox

Matlab code for proccesing EEG signals.

eeg-real-time-acquisition-and-power-spectrum-and-coherence-analysis

These files contemplate my scientific initiation project in digital signal processing. In this project I developed a BCI in Python using Ultracortex "Mark IV" EEG system from OpenBCI and I proposed a non-parametric analysis of data during stress tasks (Montreal and Stroop) through Welch's power spectrum and coherence estimator.

eeg-stressmeter

eeg_classification_deeplearning

EEG Signal Classification using LSTM on various datasets

eeg_classifier

A general matlab framework for EEG data classification

eeg_machine-learning-based

THis code were used to classiffied the brain Activity during medium-stress and high-stress level

eeg_stress_detection

Automatically detect and classify “interictal-ictal continuum” (IIC) patterns from EEG data. Current progress :Publishing a journal paper on the topic ‘Stress detection and reduction methods using machine learning algorithms

eeg_t-stress

The T-Stress is a piece of clothing that is easy to wear for office employees. It signals when someone’s stress level is high by measuring the person’s EEG and translating it into the clothing color.

eegcompress

Research about data compression for EEG wav file

eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

eeglab_scripts

Collection of scripts to run EEG data processing using EEGLAB in MATLAB

emotion-recognition-from-brain-eeg-signals-

Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.

end2end-all-conv

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

ender3bioedition

Low cost modifications to convert an Ender 3 FDM 3D printer into a multimaterial Bioprinter

ensemble-segmentation

Monai-pytorch based segmentantion with ensemble training for 3D medical images

euler-solver

Euler Solver for numerical approximation of ordinary differential equations (ODEs)

evaluating-blood-cholesterol-and-blood-pressure

Program Reads Patient data and Evaluates Cholesterol level

evaluation-of-handwritten-equations-using-cnn

Evaluation of hand written mathematical expressions using CNN

exceed-leftlegofexodia-software

extensions

.NET APIs for commonly used programming patterns and utilities, such as dependency injection, logging, and configuration.

extraction-of-brain-tumor-from-mri-images

The idea behind the project is to implement a strategy to detect brain tumor from the scans obtained via Magnetic resonance imaging using basic Image processing algorithms in Matlab. The algorithm has two stageS- preprocessing followed by segmentation and morphological operations.

extrusiongen

A Dildo Generator