Bsingstad

Bland-Altman-analysis

BlandAltman plot related to: "Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress"

DMBA2024

ECG-age

Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"

ECG-classification-using-open-data

ECG classification using public data and state-of-the-art 1D CNN models. This work is based on George Moody Challenge 2020

ECG-featurizer

A python package for extracting features from ECGs

EEG-predict-cardiac-arrest-recovery

Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"

Heart-murmur-detection-2022-Simulab

Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"

PhysioNet-CinC-Challenge2020-TeamUIO

Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs

PhysioNetChallenge2021-CNN

Public repository associated with: "Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain"

Strodthoff-2021

[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,

Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIO

Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs

Bsingstad/PhysioNetChallenge2021-CNN

Public repository associated with: "Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain"

Bsingstad/Heart-murmur-detection-2022-Simulab

Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"

Bsingstad/ECG-classification-using-open-data

ECG classification using public data and state-of-the-art 1D CNN models. This work is based on George Moody Challenge 2020

Bsingstad/ECG-featurizer

A python package for extracting features from ECGs

Bsingstad/ECG-age

Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"

Bsingstad/Strodthoff-2021

[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,

Bsingstad/Bland-Altman-analysis

BlandAltman plot related to: "Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress"

Bsingstad/ecg_plot

Plot standard multi lead ECG/EKG chart with Python

Bsingstad/EEG-predict-cardiac-arrest-recovery

Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"

Bsingstad/Pulse2Pulse

DeepFake ECG generator based on 1D Convoloutional Neural Networks

Bsingstad/VHDL-lab-using-Quartus

A data lab at UiO (FYS4220, Lab 1, 2019) in VHDL design using Quartus

Bsingstad/DMBA-ML

This repository contains code and course material for Data Mining and Business Analytics at USN

Bsingstad/DMBA2024

Bsingstad/Bsingstad

A special repository presenting my GitHub profile.

Bsingstad/bsingstad.github.io

A webpage containing information about me and my research projects

Bsingstad/coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Bsingstad/ECG-Age-Bayesian

This work is the preliminary experiments leading to the publication: Towards Invariant Soft Biometrics from Electrocardiograms

Bsingstad/ECG-classification-using-classifier-chain

This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain

Bsingstad/ECG-Federated-Learning

This project implements 6 different privacy-preserving collaborative learning methods for training multi-institutional ECG classification models.

Bsingstad/ECG-interpretation-flask-application

A Flask application allowing the user to upload a ECG to a webserver and get a prediction back

Bsingstad/fastai

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

Bsingstad/hiPSC-CMs-ionic-current-block-detecion

Identifying ionic channel block in a virtual cardiomyocyte population using machine learning classifiers

Bsingstad/IdrettsEKG

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?"

Bsingstad/ML-images

Bsingstad/PhysioNet-Challenge-2024-example-code

Python example code for the PhysioNet Challenge 2024

Bsingstad/Post-George-Moody-challenge-2020-2021

Public repository associated with: Assessing The Effect of Various Sampling Frequency and Double Soft F1-loss in Multi-Label Classification of 12-Lead ECGs

Bsingstad/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)