Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820009 |
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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
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Awarding Body: | Loughborough University | ||||||
Current Institution: | Loughborough University | ||||||
Date of Award: | 2020 | ||||||
Availability of Full Text: |
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Abstract: | |||||||
No abstract available
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Supervisor: | Not available | Sponsor: | Not available | ||||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||||
EThOS ID: | uk.bl.ethos.820009 | DOI: | |||||
Keywords: | Machine Learning ; deep learning ; photoplethysmography ; Opto-electronic patch sensor (OEPS) ; diabetes risk-detection ; Energy expenditure | ||||||
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