Pulmonary Health Dataset

该数据集包含了从60名志愿者那里收集的信息，旨在评估肺部健康状况。数据集包括RGB和热成像视频，同时伴有心率、心电图、血压以及峰流速和哮喘计的数据。此外，数据集还包含了详细的元数据，如年龄、身高、吸烟时长、运动员状态和与健康相关的信息。该数据集支持对肺活量最大呼气流量（PEF）的回归估计，以及用于检测肺功能障碍的分类任务。规模上，数据集包含了来自60名参与者的2,424个分割视频，这些视频代表了完整的呼吸周期。该任务旨在进行肺部健康评估的回归和分类研究。

This dataset comprises information collected from 60 volunteers for pulmonary health assessment. It includes RGB and thermal imaging videos, paired with data on heart rate, electrocardiogram (ECG), blood pressure, peak expiratory flow, and asthma meter readings. Additionally, the dataset provides detailed metadata such as age, height, smoking duration, athletic status, and other health-related information. This dataset supports regression estimation of peak expiratory flow (PEF) as well as classification tasks for detecting pulmonary dysfunction. In terms of scale, the dataset contains 2,424 segmented videos from 60 participants, each representing a complete respiratory cycle. It is designed for regression and classification studies focused on pulmonary health assessment.