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The “SensoMatrix” project addresses the need for developing a data format and a unifying framework to facilitate archiving and sharing data gathered from various wearable sensors. Developers: Niroigen Suntharam, Andre Al-Khoury

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sensomatrix/sensocore

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SensoMatrix

SensoMatrix, is a software platform which will take the data from different portable biosensors as input, automate the pre-processing, plot the data, display basic metrics and give the user the ability to run the signal processing operations commonly used in the analysis of electrophysiological signals. A combination of digital signal processing (DSP) techniques and statistical methods will be used to implement features such as signal classification, correlation between different signals and outlier detection. Methods pertaining to specific types of electro-physiological signals such as electroencephalography (EEG) and electrocardiogram (ECG) will also be implemented to facilitate their analysis.

Documentation

More information about documentation can be found in the links below

Prerequisites

Python 3.5.4

Windows

Please install the version Python 3.5.4

Mac OS X

Please install the version Python 3.5.4

Linux

Please follow these instructions to install pyenv

Once pyenv has been downloaded, install Python 3.5.4 using the following commands

pyenv install 3.5.4

ECG Classification Model

Please this link

Once downloaded, make sure that the path of this file is in sensobox folder

Installation

Once you have installed Python follow the instructions below making sure that you are at the root folder

# Install the python packages
pip install pipenv

pipenv install --python 3.5.4
pipenv shell

Running

To run the application simply type the following in command line

# Activating virtual environment if not already have
pipenv shell

python main.py

Developers

Niroigen Suntharam Andre Al-Khoury

Contact Us

niroigen@gmail.com naj.mahani@gmail.com

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The “SensoMatrix” project addresses the need for developing a data format and a unifying framework to facilitate archiving and sharing data gathered from various wearable sensors. Developers: Niroigen Suntharam, Andre Al-Khoury

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