DDMP-FV

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.

健康已成为现代社会日益受到关注的议题，而生理指标监测正是维持健康的重要环节。传统健康监测方法通常需借助接触式传感器（contact sensor）对人体进行监测，不仅便捷性与舒适度欠佳，且往往仅能检测较为单一的生理指标，例如心率与血氧。此类传统监测方法需依赖复杂的仪器设备与采样流程，且需人工介入操作，难以满足日常检测的实际需求。基于面部视频的生理指标监测系统，则可通过感知人体外部信号，实现对人体多种复杂生理指标的监测，涵盖呼吸频率、心率、血氧饱和度、血压等，同时还能提供更为全面且精细化的监测方案。依托此类更为全面精细的生理指标数据，可更好地开展健康分析与诊断工作。
本数据集通过电子血压计（electronic sphygmomanometer）采集心率与血压数据，通过指夹式血氧仪（finger-clip oximeter）采集心率与血氧数据，并人工记录呼吸频率。本数据集可为非接触式监测（non-contact monitoring）提供评估基准，能够满足经评估的非接触式生理指标监测系统的测试需求。