School of Life Sciences, Northwestern Polytechnical University, Xi'an, 710072, China.
Engineering Research Center of Chinese Ministry of Education for Biological Diagnosis, Treatment and Protection Technology and Equipment, Northwestern Polytechnical University, Xi'an, 710072, China.
Sci Data. 2024 Feb 27;11(1):248. doi: 10.1038/s41597-024-03065-x.
This report presents the Harespod dataset, an open dataset for high altitude hypoxia research, which includes respiration and SpO2 data. The dataset was collected from 15 college students aged 23-31 in a hypobaric oxygen chamber, during simulated altitude changes and induced hypoxia. Real-time physiological data, such as oxygen saturation waveforms, oxygen saturation, respiratory waveforms, heart rate, and pulse rate, were obtained at 100 Hz. Approximately 12 hours of valid data were collected from all participants. Researchers can easily identify the altitude corresponding to physiological signals based on their inherent patterns. Time markers were also recorded during altitude changes to facilitate realistic annotation of physiological signals and analysis of time-difference-of-arrival between various physiological signals for the same altitude change event. In high altitude scenarios, this dataset can be used to enhance the detection of human hypoxia states, predict respiratory waveforms, and develop related hardware devices. It will serve as a valuable and standardized resource for researchers in the field of high altitude hypoxia research, enabling comprehensive analysis and comparison.
本报告介绍了 Harespod 数据集，这是一个用于高空低氧研究的开放数据集，其中包含呼吸和 SpO2 数据。该数据集是在低压氧舱中从 15 名年龄在 23-31 岁的大学生身上收集的，模拟了海拔变化和诱导性低氧。实时生理数据，如氧饱和度波形、氧饱和度、呼吸波形、心率和脉搏率，以 100 Hz 的频率获取。所有参与者大约收集了 12 小时的有效数据。研究人员可以根据生理信号的固有模式轻松识别出对应的海拔高度。在海拔变化期间也记录了时间标记，以方便对生理信号进行真实注释，并分析同一海拔变化事件中各种生理信号之间的到达时间差。在高海拔场景中，该数据集可用于增强对人体低氧状态的检测、预测呼吸波形以及开发相关硬件设备。它将成为高空低氧研究领域研究人员的宝贵和标准化资源，实现全面的分析和比较。
