Search Results for "ecg analysis"
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Showing 9 open source projects for "ecg analysis"
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ECG Logger
ECG Logger is a complete Holter system incl. device and firmware.
NEW V3 version with RTC and buzzer (require V3+ ECG Logger Viewer application) The ECG Logger project is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. This project provides a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with boards for SD card mass-storage, instrumentation differential amplifier and RTC. ... -
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ECG Logger Viewer
ECG Logger Viewer is the application software for ECG Logger device.
NEW VERSION 3.2.1.5 - MARS 2022 ECG Logger is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. The ECG Logger project is aimed for providing a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with two companion boards for the SD card mass-storage and the instrumentation differential amplifier. ... -
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ECG is a distributed system to record and analyse developer activites for programming behaviour. It supports the research of actual processes and micro-processes.
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The software performs automated analysis of ECG signals allowing early detection of cardiac disorders.
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DSProcessing is a group of Csharp libraries destiny to evolution (on-line and off-line) DSP .NET sowtware on PC. Applications (for instance): ECG, EEG processing, speech processing and other.
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Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
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A software to perform a full analysis of heart rate variability (time domain, frequency domain and nonlinear dynamic) for research purpouse and, I hope, for improve diagnostic power of Holter ECG recording.
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