Bjørn-Jostein Singstad's Projects
BlandAltman plot related to: "Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress"
A special repository presenting my GitHub profile.
A webpage containing information about me and my research projects
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
This repository contains code and course material for Data Mining and Business Analytics at USN
Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"
This work is the preliminary experiments leading to the publication: Towards Invariant Soft Biometrics from Electrocardiograms
This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain
ECG classification using public data and state-of-the-art 1D CNN models. This work is based on George Moody Challenge 2020
A python package for extracting features from ECGs
A Flask application allowing the user to upload a ECG to a webserver and get a prediction back
Plot standard multi lead ECG/EKG chart with Python
Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"
A forked repository - necessary for replication of model presented in: "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL" and cloud hosted notebooks
Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"
Identifying ionic channel block in a virtual cardiomyocyte population using machine learning classifiers
A repository related to a master thesis in electronics, informatics and technology. Title: "Comparing Cardiological and Algorithm-Based ECG Interpretation in Athletes: Can Artificial Intelligence Improve the Algorithms?"
Python example code for the PhysioNet Challenge 2024
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
Public repository associated with: "Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain"
Public repository associated with: Assessing The Effect of Various Sampling Frequency and Double Soft F1-loss in Multi-Label Classification of 12-Lead ECGs
DeepFake ECG generator based on 1D Convoloutional Neural Networks
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,
A data lab at UiO (FYS4220, Lab 1, 2019) in VHDL design using Quartus