ALPHA

该数据集汇总了在模拟低气压条件下从12名受试者收集的生理数据，旨在利用大型语言模型（LLMs）评估健康状况。此外，该数据集还包含了异常健康状况的实例，这对于评估大型语言模型至关重要。任务是对原始生物医学传感器信号进行评估，以确定健康状态并计算平均生命体征。

This dataset aggregates physiological data collected from 12 subjects under simulated low atmospheric pressure conditions, aiming to evaluate health status using Large Language Models (LLMs). Additionally, the dataset includes instances of abnormal health conditions, which are critical for assessing Large Language Models. The task is to evaluate raw biomedical sensor signals to determine health status and calculate average vital signs.