Health bracelet equipment for health management and abnormal data detection method thereof

The invention discloses health bracelet equipment for health management and an abnormal data detection method thereof. The abnormal data detection method comprises the following steps: acquiring preset index data of a wearer; inputting the preset index data into a pre-trained abnormal data detection model, wherein the abnormal data detection model outputs an abnormal data acquisition result; wherein, the abnormal data detection model is used for carrying out abnormal data detection on the basis of a meta-learning abnormal data detection algorithm and a sample reweighting abnormal data detection algorithm. According to the invention, the basic vital sign index data of the wearer can be obtained, abnormal data detection and identification can be completed based on the obtained basic vital sign index data, and the identification is relatively accurate. 本发明公开了一种用于健康管理的健康手环设备及其异常数据检测方法，所述异常数据检测方法包括以下步骤：获取佩戴者的预设指标数据；将所述预设指标数据输入预训练好的异常数据检测模型中，所述异常数据检测模型输出异常数据获取结果；其中，所述异常数据检测模型基于meta-learning和sample reweighting异常数据检测