SpO2_Apnea_Det_ORDA.zip (514.33 kB)

A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data

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posted on 13.04.2021, 13:22 by Zhenglin Li, Mihaylova, Lyudmila S
The codes are for the conference paper 'A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data'.

Funding

Research England’s Connecting Capability Fund award CCF18-7157- Promoting the Internet of Things via Collaboration between HEIs and Industry (Pitch-In)

History

Ethics

There is no personal data or any that requires ethical approval

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a readme.txt file describing the methodology, headings and units

Licence

Exports