Pinned Repositories
AnalyticalReconBigPatient
Analytical Reconstruction The Big Patient Data. It is a project mix MATLAB scripts and C++/CUDA codes
arrhythmia-detection
Supervised learning of heart arrhythmias from ECG, for detection and type classification.
astra-toolbox
ASTRA Tomography Toolbox
athabasca_recon
Athabasca Recon is a program for CT reconstruction using filtered back-projection
cmiv-ctmod
Scatter projections in computed tomography.
code
ECG Classification based on torch-RNN
commodity12-artefact_identification
A series of (primitive) electrocardiogram (ECG) artefact identification algorithms for the Zephyr BioHarness 3.
Computer-aided-of-electrocardiogram-signals
Computer-Vision-Lung-Cancer-Detection
REU research detecting lung cancer from CT scans
FreeCT_Reader
courins's Repositories
courins/ECGAnalysis
EP Limited: Open Source ECG Analysis Software Beat Detection and Classification Source Code
courins/sms
Simultaneous multislice fMRI
courins/arrhythmia-detection
Supervised learning of heart arrhythmias from ECG, for detection and type classification.
courins/CTBangBang
Fast, lightweight, GPU-based, CT Image Reconstruction
courins/TomoTools
A Matlab based GUI for processing of x-ray tomography data
courins/AnalyticalReconBigPatient
Analytical Reconstruction The Big Patient Data. It is a project mix MATLAB scripts and C++/CUDA codes
courins/ecg_signal_analysis_for_mi
Myocardial Infarction is one of the fatal heart diseases. It is essential that a patient is monitored for the early detection of MI. Owing to the newer technology such as wearable sensors which are capable of transmitting wirelessly, this can be done easily. However, there is a need for real-time applications that are able to accurately detect MI non-invasively. This project studies a prospective method by which we can detect MI. Our approach analyses the ECG (electrocardiogram) of a patient in real-time and extracts the ST elevation from each cycle. The ST elevation plays an important part in MI detection. We then use the sequential change point detection algorithm; CUmulative SUM (CUSUM), to detect any deviation in the ST elevation spectrum and to raise an alarm if we find any.
courins/sart_tv
CUDA implementation of sart (simultaneous algebraic reconstruction method) enhanced with compressive sensing for CT image reconstruction
courins/trex
TREX: A Framework for Extraction of CT Radiomics Features
courins/RNN-Forecasting
Using LSTM RNN to forecast time series; includes sine wave, electrocardiogram and ad impression forecasting
courins/ECGDiagnose
[Study Project] Machine Learning algorithm diagnosing diseases from ECG signal
courins/Computer-aided-of-electrocardiogram-signals
courins/Lung-Nodule-Detection
courins/pyECG_graph
This is a python utility which helps in generating ECG (Electrocardiogram) graph.
courins/HRV-of-ECG
Heart Rate Variability of Electrocardiogram
courins/spect-recon
Code to reconstruct SPECT images acquired with nanoSPECT scanner
courins/CTSim-1
courins/FreeCT_Reader
courins/athabasca_recon
Athabasca Recon is a program for CT reconstruction using filtered back-projection
courins/ECG_Viewer
Matlab GUI for reviewing, processing, and annotating electrocardiogram (ECG) data files
courins/cmiv-ctmod
Scatter projections in computed tomography.
courins/Lung-cancer-detection
This is a lung cancer detection system powered by image processing technology
courins/ctsimulator
[C++/QT] X-Ray simulation and reconstruction toolkit
courins/pymango
Python API for 3D image processing and micro-CT tomographic reconstruction.
courins/ecgClassification
ECG Classification MATLAB Code
courins/commodity12-artefact_identification
A series of (primitive) electrocardiogram (ECG) artefact identification algorithms for the Zephyr BioHarness 3.
courins/ECGHolterMonitor
borland C++ project files from my PhD research into a replacement of 24 Hour Holter Monitoring with a a real-time analysis technique. Comparing n-tuple learning and band pass filter methods
courins/CTSim
CTSim
courins/Computer-Vision-Lung-Cancer-Detection
REU research detecting lung cancer from CT scans
courins/pulse
Statistical Learning Experiment: Classify ECG data