physiological-networks-tds-appliance

Dockerfile for the physiological network tds appliance description

Application

Physiological network TDS is an implementation of the Time Delay Stability algorithm, introduced by Bashan et al. (doi:10.1038/ncomms1705). It can be used in sleep research to determine the topology of the physiological networks by analysis of a polysomnographic recording. The physiological network tds software is developed at CBMI (HTW Berlin - University of Applied Sciences), and is available as matlab code on github [physiological-networks-tds]https://github.com/somnonetz/physiological-networks-tds).

Appliance

This repo contains the Dockerfile to build the appliance. The application is packaged as Curious Containers compatible Docker image. Furthermore, the repo contains the recipe to build the appliance with a meaningful name and to push it into the official DockerHub registry. Credentials are required.

Getting Started

Prerequisites

To build the image, you need a Docker installation on your system. As you require the full 1.4 GB Matlab mcr within the Docker image, a fast internet connection is highly recommended. If you want to run the appliance, you need cc-faice and an experiment description containing this Docker image. Examples can be found in the repective repository: physiological-networks-tds-experiments

Build the appliance

1. Clone the repo:

   git clone https://github.com/somnonetz/physiological-networks-tds-appliance

2. Move into the directory physiological-networks-tds-appliance

   cd physiological-networks-tds-appliance

3. Build the Docker image

   docker build .