Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning
Non-contact vital sign monitoring enables the estimation of vital signs, such as heart rate, respiratory rate and oxygen saturation (SpO2), by measuring subtle color changes on the skin surface using a video camera. For patients in a hospital ward, the main challenges in the development of continuou...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IOP Publishing
2019
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