READ ME File For 'Dataset for Thesis: "Investigating and Developing Low-Cost Wearable Respiration Sensors"'

Dataset DOI: 10.5258/SOTON/D2669

ReadMe Author: Mahdi Mohamed Saleh Abdulla Ahmed Shaban, University of Southampton 0000-0002-7219-3708

This dataset supports the thesis entitled 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA
The data was collected/created through a series of software listed below:
	- MATLAB
	- Kicad
	- Vernier Grpahical Analysis
	- Python
	- Code Composer Studio
	- Sensor Controller Studio
	- Excel
	- Fusion 360

The data is structured into different files.
Chapter 3:
 - Files: Chapter3_supplement.zip
	- Study 1: Metronome_data
	- Study 2: Bike_data
 - Need MATLAB, Excel, Vernier Graphical Analysis, and python to View and test

Chapter 4:
 - Files: Chapter_4_5_supplement.zip
	- Capacitance vs Capaciflector
 - Need Kicad and MATLAB to View and test

Chapter 5:
 - Files: Chapter_4_5_supplement.zip
	- Design Files for the system, including PCB layout and 3D models.
 - Need Kicad, Fusion 360 and MATLAB to View and test
 
Chapter 6:
 - Files: Chapter_6_supplement.zip
	- Data -> Raw Data collected
	- Stable Ouptput Run -> Results
	- Rest of the files are the MATLAB scripts used
 - Need Kicad, MATLAB, Vernier Graphical Analysis, and python to View and test
 
CC2640 Code:
 - Is the complete code used for the microcontroller, and needs code composer studio and sensor controller studio to be able to compile and run the code.
 - The steps to setup the relevant libraries is found in the readme file in this folder.

This dataset contains:

Date of data collection: 01/10/2019 -> 01/08/2022

Information about geographic location of data collection: 
Data was collected/created in the United Kingdom in Southampton.

Licence:
CC BY

Related projects/Funders:
None

Related publication:
10.1007/s10877-021-00798-7

Date that the file was created: June, 2023