PineTime heart rate dataset

Dataset of heart rate measurements collected from the PineTime wristband, with a gold standard reference. Contents The repository contains both the raw and the "merged", clean data. The merged data is much easier to work with and should be used when building machine learning models. The raw data is provided for transparency, reproducibility, and to allow for studies that could use the other data collected from the Equivital device. schedule.md – schedule of the study, indicating the start and end times of each exercise and break. data_raw/ – raw data collected from the PineTime wristband and the Equivital device. Each subdirectory corresponds to one participant. The files are in the Feather format. data_merged/ – merged data series that can be used for building ML models. The files are in JSON format and follow a nested structure, where each heart rate measurement is associated with a series of acceleration measurements that preceded it. Each file corresponds to one continuous measurement session – there are sometimes multiple sessions per participant due to intermittent hardware failures. Citation If you use this data in research works, please cite the following paper: Sowiński, P., Rachwał, K., Danilenka, A., Bogacka, K., Kobus, M., Dąbrowska, A., Paszkiewicz, A., et al. (2023). Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites. Sensors, 23(14), 6464. MDPI AG. Retrieved from http://dx.doi.org/10.3390/s23146464 BibTeX: @article{sowinski2023frugal, title={Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites}, author={Sowi{\'n}ski, Piotr and Rachwa{\l}, Kajetan and Danilenka, Anastasiya and Bogacka, Karolina and Kobus, Monika and D{\k{a}}browska, Anna and Paszkiewicz, Andrzej and Bolanowski, Marek and Ganzha, Maria and Paprzycki, Marcin}, journal={Sensors}, volume={23}, number={14}, pages={6464}, year={2023}, publisher={MDPI}, url = {https://www.mdpi.com/1424-8220/23/14/6464}, doi = {10.3390/s23146464} } Authors Monika Kobus – data collection Anna Dąbrowska – data collection, methodological supervision Piotr Sowiński – data collection and processing Acknowledgements This work is part of the ASSIST-IoT project that has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No 957258. The Central Institute for Labour Protection – National Research Institute provided facilities and equipment for data collection. License The dataset is licensed under the Creative Commons Attribution 4.0 International License.本数据集为从PineTime腕带采集的心率测量数据集，附带金标准参考（gold standard reference）。 内容说明：本仓库包含原始数据与「合并后」的清洗后数据。合并后数据更易于处理，用于构建机器学习模型时推荐优先使用。原始数据则出于透明性、可复现性需求，以及支持使用Equivital设备采集的其他数据开展相关研究而提供。 - schedule.md：研究日程表，标注了每项锻炼与休息环节的起止时间。 - data_raw/：从PineTime腕带与Equivital设备采集的原始数据。每个子目录对应一名受试者，文件采用Feather格式存储。 - data_merged/：可用于构建机器学习模型的合并后时序数据。文件采用JSON格式，遵循嵌套结构，每条心率测量结果均关联其之前的一系列加速度测量数据。每个文件对应一段连续的测量会话——由于间歇性硬件故障，部分受试者可能对应多段会话。 引用说明：若您在研究工作中使用本数据集，请引用以下论文： Sowiński, P., Rachwał, K., Danilenka, A., Bogacka, K., Kobus, M., Dąbrowska, A., Paszkiewicz, A., et al. (2023). 面向建筑工地可扩展健康与安全监测的节俭型心率校正方法. Sensors, 23(14), 6464. MDPI AG. 检索自 http://dx.doi.org/10.3390/s23146464 BibTeX格式引用： @article{sowinski2023frugal, title={面向建筑工地可扩展健康与安全监测的节俭型心率校正方法}, author={Sowiński, Piotr and Rachwał, Kajetan and Danilenka, Anastasiya and Bogacka, Karolina and Kobus, Monika and Dąbrowska, Anna and Paszkiewicz, Andrzej and Bolanowski, Marek and Ganzha, Maria and Paprzycki, Marcin}, journal={Sensors}, volume={23}, number={14}, pages={6464}, year={2023}, publisher={MDPI}, url = {https://www.mdpi.com/1424-8220/23/14/6464}, doi = {10.3390/s23146464} } 作者贡献： Monika Kobus – 数据采集 Anna Dąbrowska – 数据采集、方法学指导 Piotr Sowiński – 数据采集与处理 致谢： 本研究属于ASSIST-IoT项目，该项目获欧盟地平线2020研究与创新计划资助（资助协议编号：957258）。中央劳动保护研究所–国家研究研究院为本研究提供了数据采集所需的设施与设备。 许可协议： 本数据集采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License）进行授权。