Topological data analysis of pediatric heart rate variability

This is the first public release (v1.0.0) of the TDA-HRV-Development repository. It includes a fully structured dataset and analysis workflow for the study: >Domínguez-Monterroza A., Mateos-Caballero A., Jiménez-Martín A. "Age-dependent patterns of cardiac complexity unveiled by topological data analysis of pediatric heart rate variability". PLOS ONE, 20(11): e0337620. https://doi.org/10.1371/journal.pone.0337620 Funding: This paper was supported by the grants PID2021-122209OB-C31, RED2022-134540-T and PID2024-155179NB-C22 funded by MICIU/AEI/10.13039/501100011033. Included in this release: Metadata: patient-info.csv (derived from original PhysioNet headers) Processed features: tda_dim1_features.csv Raw data pointer to PhysioNet (not redistributed) Full analysis notebooks: Notebook_00_Parameters_Embedding Notebook_01_Preprocessing_of_HRV_Time_Series Notebook_02_Topological_Feature_Extraction Notebook_03_HRV_Conventional_Analysis Statistical analysis script (stats_analysis.py) Documentation and folder-level READMEs Final repository structure aligned with FAIR principles This paper was supported by the grants PID2021-122209OB-C31, RED2022-134540-T and PID2024-155179NB-C22 funded by MICIU/AEI/10.13039/501100011033. Data Sources 1. PhysioNet – RR Interval Time Series from Healthy Subjects Dataset: RR Interval Time Series from Healthy Subjects URL: https://physionet.org/content/rr-interval-healthy-subjects/1.0.0/ Subjects: 147 healthy individuals (ages 1 month to 55 years) Notes: Signals include artifact filtering (original study)本内容为TDA-HRV-Development仓库的首次公开发布（v1.0.0版本），其包含对应研究的完整结构化数据集与分析流程： > 多明格斯-蒙特罗萨（Domínguez-Monterroza A.）、马特奥斯-卡瓦列罗（Mateos-Caballero A.）、希门尼斯-马丁（Jiménez-Martín A.）：《通过拓扑数据分析（Topological Data Analysis, TDA）揭示儿童心率变异性（Heart Rate Variability, HRV）的心脏复杂性年龄依赖模式》，PLOS ONE，20(11): e0337620。https://doi.org/10.1371/journal.pone.0337620 资助说明：本论文受MICIU/AEI/10.13039/501100011033资助的项目PID2021-122209OB-C31、RED2022-134540-T及PID2024-155179NB-C22支持。 本次发布包含以下内容： - 元数据：patient-info.csv（源自原始PhysioNet文件头） - 处理后特征数据集：tda_dim1_features.csv - 指向PhysioNet的原始数据链接（未进行二次分发） - 完整分析Notebooks： - Notebook_00_Parameters_Embedding - Notebook_01_Preprocessing_of_HRV_Time_Series（HRV时间序列预处理） - Notebook_02_Topological_Feature_Extraction（拓扑特征提取） - Notebook_03_HRV_Conventional_Analysis（HRV常规分析） - 统计分析脚本：stats_analysis.py - 项目文档及各文件夹下的README文件 - 符合FAIR原则的标准化仓库结构 资助说明：本论文受MICIU/AEI/10.13039/501100011033资助的项目PID2021-122209OB-C31、RED2022-134540-T及PID2024-155179NB-C22支持。 数据来源 1. PhysioNet——健康受试者RR间期时间序列 - 数据集名称：健康受试者RR间期时间序列 - 访问链接：https://physionet.org/content/rr-interval-healthy-subjects/1.0.0/ - 受试者信息：共147名健康个体，年龄跨度为1个月至55岁 - 备注：原始研究已对信号完成伪影过滤处理