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Liu et al., 2022 - Google Patents

Human biometric signals monitoring based on wifi channel state information using deep learning

Liu et al., 2022

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Document ID
5017639064068040317
Author
Liu M
Lin Z
Xiao P
Xiang W
Publication year
Publication venue
arXiv preprint arXiv:2203.03980

External Links

Snippet

In this paper, we first present a single-input, multiple-output convolutional neural network that can estimate both heart rate and respiration rate simultaneously by exploiting the underlying link between heart rate and respiration rate. The inputs to the neural network are …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • A61B5/48—Other medical applications
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    • A61B5/4818—Sleep apnoea
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
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    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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