Systole: A python package for cardiac signal synchrony and analysis
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Updated
Apr 30, 2024 - Python
Systole: A python package for cardiac signal synchrony and analysis
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Digital filtering of a ECG signal
Signal processing toolbox for cardiac potential recordings.
Electrocardiogram Viewer for Holter Monitors
The model and the code of The China Physiological Signal Challenge 2018 champion
Android application with a simple GUI that can be able to connect to a Bluetooth Low Energy device. The goal is to receive data from an ECG sensor, apply a filter and visualize the Electrocardiogram.
Familiarization with Higher Order Statistics (Spectra) and ARMA (Autoregressive Moving Average) models. Time Frequency Analysis techniques (Short Time Fourier, Hilbert-Huang and Wavelet Transform) are implemented in ECG signals.
This is my ECG Signal Processing Program for my class's mandatory work.
A Method to Improve Any ECG Denoising Technique In limb leads
Cardioception Toolbox - Measuring cardiac interoceptive performance with Psychopy
Neural Network Lecture Projects.
My graduate qualification work
Analysis of bioelectrical signals recorded in the Laboratory of Bioelectrical Signals.
Matlab GUI to load, plot, analyze and filter real ECG signal and model your own ECG.
PerHealth'21 - PulSync: The Heart Rate Variability as a Unique Fingerprint for the Alignment of Sensor Data Across Multiple Wearable Devices
ECG Data-Set and Sample Code
Master's thesis - Assessment of cognitive load in extreme environment
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