Machine Learning Classification of Sleep State

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United States of America Patent

APP PUB NO 20230263465A1
SERIAL NO

18106944

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Abstract

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A method of training a supervised machine-learning algorithm to determine a sleep state of a subject. The method uses training data and training labels in respect of a plurality of subjects derived from video images of the subjects. The training data comprises: at least one measure of subject movement; and at least one cardiorespiratory parameter of the subject. The method comprises training the supervised machine learning algorithm using the training data and the training labels.

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Patent Owner(s)

Patent OwnerAddress
OXEHEALTH LIMITEDTHE OXFORD SCIENCE PARK OXFORD OX4 4GA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
CARTER, Jonathan Frederick Oxford, GB 2 0
JONES, Simon Mark Chave Oxford, GB 9 30
JORGE, Joao Goncalo Malveiro Oxford, GB 2 0
TARASSENKO, Lionel Oxford, GB 35 4237

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