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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 2021-04-13, 13:22 authored 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)

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  • There is no personal data or any that requires ethical approval

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

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  • The data can be shared openly

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  • The file formats are open or commonly used

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

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    Department of Automatic Control and Systems Engineering

    Categories

    Keywords

    Sleep apnoea detectionDirichlet process mixture modelvariational inferenceArtificial Intelligence and Image Processing

    Licence

    GPL 3.0+

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