Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820009
Title: Assessing patho-physiological responses to physical activity from body-worn sensors : an application of machine learning
Author: Adema, Samuel
ISNI:       0000 0004 9353 7746
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2020
Availability of Full Text:
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Full text unavailable from EThOS. Thesis embargoed until 08 Dec 2025
Access from Institution:
https://doi.org/10.26174/thesis.lboro.13341008.v1
Abstract:
No abstract available
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.820009  DOI:
10.26174/thesis.lboro.13341008.v1
Keywords: Machine Learning ; deep learning ; photoplethysmography ; Opto-electronic patch sensor (OEPS) ; diabetes risk-detection ; Energy expenditure
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