DDMP-FV

Citation Author(s):
Tong
Si
桂林电子科技大学
Submitted by:
si tong
Last updated:
Tue, 05/28/2024 - 11:28
DOI:
10.21227/00tq-3495
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Abstract 

Health is a growing concern in modern society, and monitoring physiological indicators is an important part of maintaining health. Traditional health monitoring methods often require the use of contact sensors to monitor the human body, which is less convenient and comfortable, and often only measures relatively single physiological indicators, such as heart rate and blood oxygen. Traditional monitoring methods require complex instrumentation and sampling processes that require manual intervention, which is impractical for routine testing.

Facial video-based physiological indicator monitoring systems, on the other hand, can achieve the monitoring of various complex physiological indicators of the human body, such as respiratory rate, heart rate, oxygen saturation, blood pressure, etc., by sensing the external signals of the human body, and at the same time, they can also provide more comprehensive and fine monitoring solutions. Based on these more comprehensive and fine physiological indicator data, health analysis and diagnosis can be better carried out.

 

The dataset extracts heart rate and blood pressure through an electronic sphygmomanometer, heart rate and blood oxygen through a finger-clip oximeter, and manually records respiratory rate. This dataset provides an evaluation dataset for non-contact monitoring, and meets the needs of an evaluated, non-contact physiological indicator monitoring system.

 

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