Bernd Porr's repositories
py-ecg-detectors
Popular ECG QRS detectors written in python
pyFirmata2
Turn your Arduino into a realtime data acquisition card under Python
realtime_cpp_coding
Realtime Embedded Coding in C++ under Linux
qwt-example
A simple example program using QT5/Qwt widgets demonstrating realtime plotting of data under Linux.
comedirecord
An oscilloscope program for COMEDI
rpi_AD7705_daq
Test/demo program for using the AD7705 with the Raspberry Pi and demo how to display data on a website with FastCGI.
deepNeuronalFilter
Deep Neuronal Filter (DNF): A closed-loop filter to remove noise from signals with the help of a noise reference signal.
JF-ECG-Benchmark
A newly developed benchmark for ECG heartbeat detectors. Independent of application and inclusive of all error types (extra beats, missed beats, temporal jitter).
OculusSpatialAnchor
Oculus Quest 2 demo XrSpatialAnchor with cmake instead of Android.mk.
fastcgi_json_cpp_api
Header-only JSON event driven communication between jQuery and C++ via nginx
libcamera2opencv
Interfaces libcamera, openCV and QT with minimal fuss!
limbic-system-map
A curated map of the limbic system (emotional system of the brain)
ICO-learning
Porr, B. and Wörgötter, F. (2006) Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only
MicrofluidicsZigZagVideoAI
Code of the paper by Baskaran R K R, Link A, Porr B, Franke T (2024) Classification of chemically modified red blood cells in microflow using machine learning video analysis. Soft Matter.
RBCZigZagAI
Python code used in: Link A, Luna Pardo I, Porr B, Franke T (2023) AI based image analysis of red blood cells in oscillating microchannels. RSC Advances 41.
bci_wall_analysis
Noise wall scripts
cmake_hello_world
cmake Hello World
deep-learning-analytics
The core deep learning math
fastdds_demo
FAST DDS demo based on the tutorial
FreeDcpPlayer
Free Dcp Player Nvidia GPU based for independent filmmakers
mspdebug
Debugging tool for MSP430 MCUs
opencv-camera-callback
demo app which shows how to do a callback based on open-cv's blocking I/O