Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Source code for multiple parameter modelling of synthetic electromyography data.

Toolkit for analyzing physiologic data collected via Biopac AcqKnowledge software.

nanoDNA-nanoROBOT-simulation: Open-source Python project for modeling and simulating DNA-based nanorobot behavior. 🧬🤖

Open-source Python package for a wide range of tasks in modeling cardiac electrophysiology using finite-difference methods.

This Python script is designed to provide detailed information on interactions between drugs and genes using the Sydney module for natural language processing and the Drug Gene Interaction Database (DGIdb) API. Users can input the names of three drugs separated by commas and receive information on the interactions with the corresponding genes.

Walking abnormality detector is a gait analyzer which can be used to monitor pressure distribution of the foot.

Biomedical Image Analysis with TensorFlow and DLTK

This repository contains the scripts for the ML-Trauma project of the McDevitt Lab at NYU.

Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes

Draw periodogram of real EEG data

This is a joint stress calculator for a lateral shoulder raise. It calculates specific stress values for both the deltoidal muscle group, as well as the glenohumeral joint.

EEG spectrum mean of 84 records

This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.

Modified MobileNet-ShuffleNet-GhostNet Network for Lightweight Retinal Vessel Segmentation

Package for obtaining the referential signal from a set of unipolar iEEG data

Repository for bachelor thesis on Automatic Multi-Modal Detection of Autonomic Arousals in Sleep. The thesis itself and all related data is confidential and thus not publicly available, but access to the thesis can be granted by sending a request to hello@nicklashansen.com.

This repo is focused on movement analysis workshops, mainly using computational vision and AI, repo is still a work in progress.