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Assessing patho-physiological responses to physical activity from body-worn sensors: an application of machine learning

thesis
posted on 2020-12-10, 08:51 authored by Samuel Adema
Assessing patho-physiological responses to physical activity from body-worn sensors: an application of machine learning

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Publisher

Loughborough University

Rights holder

© Samuel Terungwa Adema

Publication date

2020

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy of Loughborough University.

Language

  • en

Supervisor(s)

Roy S. Kalawsky ; Sijung Hu

Qualification name

  • PhD

Qualification level

  • Doctoral

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    Mechanical, Electrical and Manufacturing Engineering Theses

    Categories

    Keywords

    Machine Learningdeep learningphotoplethysmographyOpto-electronic patch sensor (OEPS)diabetes risk-detectionEnergy expenditureMechanical Engineering not elsewhere classified

    Licence

    CC BY-NC-ND 4.0

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