Data provided in accordance with open data policy for publication (currently under review), 'Reconstructing Blood Biomarker Profile from Sweat, Tears and Other Non-Invasive Media: a Neural Network Approach', Submitted to MDPI Biosensors Oct 18th 2018. This data constitutes simulated concentration vs time data represented in the associated article in graph format. Data is in text format, directly readable in GNU Octave version 4.2.1, or in any text reader (e.g. notepad).
Donora, Matthew. (2018). Simulated continuous blood biomarker profiles with associated non-invasive measurement profiles and result of neural network reconstruction, [dataset]. University of Edinburgh. School of Engineering. Institute for Micro and Nano Systems. https://doi.org/10.7488/ds/2464.
|Date made available||2 Nov 2018|
Code to generate simulated blood biomarker profiles, generate corresponding non-invasive measurements, build and train neural network and reconstruct data with trained network
Donora, M. (Creator), Edinburgh DataShare, 31 Oct 2018