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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable-based Sleep Assessment Technology

2022-12-13

Abstract excerpt

<title>Abstract</title> <p>Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. The levels of accuracy with accelerometry-based sleep outcomes, however, have not improved much for the last 40 years. In this study, we applied deep-learning convolutional neural network (CNN) models to this task and demonstra...

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Literature Corpus work
e550493c-9950-5046-b0e9-38275772b50a
DOI
10.21203/rs.3.rs-2354368/v1
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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable-based Sleep Assessment TechnologyDOI 10.21203/rs.3.rs-2354368/v1
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