This document is intended to provide useful guidelines in a nutshell for Fibion Research users.
To learn how to use Fibion, please refer to the Get started guide. You will learn how to 1) install a software tool for controlling Fibion Devices, 2) start a measurement, 3) perform a measurement, and 4) create a Fibion Report.
Fibion Reports provide result data that is automatically calculated with scientific accuracy. Furthermore, the easy-to-understand visualized reports can be given to research participants. Fibion Reports are available as stable and beta versions. For research purposes, please use the beta version (click "OPEN (BETA)" button in "Your Fibion Report is Ready" email) to benefit from the newest features.
To learn how to obtain the result data of Fibion Reports as structured data, please refer to the Access result data guide. Result data is the data that is visualized in Fibion Reports. When using a manual approach, an Internet browser can be used to type in the parameterized url of a Fibion Report and download the result data file. When using an automated approach, an API client can be used to retrieve the data programmatically. The obtained report data file can be imported e.g. in Excel by using the CSV format. The result data for total and average results can be similarly obtained from Fibion Group Reports. To learn about other methods of accessing Fibion Reports, please refer to the Fibion Report API specification.
To prepare Fibion data for a custom data analysis, please use Fibion Research Upload to convert a data file collected from a Fibion Device into the scientifically validated Fibion Data format. The overal process is similar to creating Fibion Reports. Fibion Data can be exported from the Fibion Data service e.g. as an Excel file by clicking the download button on the bottom right corner of the window and selecting the Excel icon from the menu. The Excel file provides minute-by-minute result data as rows that are categorized by energy expenditure and activity classification columns. In the data, the columns from B to I represent energy expenditure for total activity and the supported activity types. The values are reported in energy units per unit time. The columns from J to S represent the distribution of the measured activity types within the 1min blocks in percentages.