infinite-dataset-hub/HealthVitalSigns

HealthVitalSigns数据集包含来自可穿戴设备的生物特征数据，如心率、血压、呼吸率和体温。每条记录代表来自多个传感器的带时间戳的条目，并包括用于异常检测的标记实例。标签表明特定的一组读数是否表明可能需要医疗关注的异常。这个数据集非常适合用于从生物特征数据中预测潜在健康问题的机器学习模型训练。

The HealthVitalSigns dataset comprises biometric data collected from wearable devices, including heart rate, blood pressure, respiration rate, and body temperature. Each record represents a timestamped entry from multiple sensors and includes labeled instances for anomaly detection. The labels indicate whether a particular set of readings suggests an anomaly that may require medical attention. This dataset is ideal for training machine learning models to predict potential health issues from biometric data.