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Fig. 7 | Journal of NeuroEngineering and Rehabilitation

Fig. 7

From: Traumatic brain injury neuroelectrochemical monitoring: behind-the-ear micro-instrument and cloud application

Fig. 7

The cloud application architecture. The architecture is based on Django framework, whereby devices requests are translated by the WGSI and routed by URL.py to the Views.py which communicates with and controls Models.py and template.py. Models.py is responsible for interactions with the database where the ECoG, amperometric and potentiomteric recordings are stored. While template.py generates and returns the application visuals to the user’s device. The web application can run on different device sizes and platforms

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