Data and signal processing code underlying the BSc thesis: Breathing rate estimation using intraoral sensor data

DOI:10.4121/a38b4140-288f-4d45-b422-78c855ede2c0.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/a38b4140-288f-4d45-b422-78c855ede2c0

Datacite citation style

Stergiou, Konstantinos (2025): Data and signal processing code underlying the BSc thesis: Breathing rate estimation using intraoral sensor data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a38b4140-288f-4d45-b422-78c855ede2c0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The raw data and signal processing pipeline for the BSc thesis as part of CSE3000 Research Project. The research concerns intraoral sensor applications, specifically breathing rate estimation technologies. A literature review along with a signal processing pipeline were implemented. The data are accelerometer, barometer and light level sensor measurements, along with experiment metadata. It was collected by the intraoral sensing platform Densor.

History

  • 2025-06-24 first online, published, posted

Publisher

4TU.ResearchData

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science

DATA

Files (1)

  • 116,728,983 bytesMD5:ccbf78441438301456b3cab76d6f8098RP_KS.zip