HUSM and GMicro: PPG Peak detection

Photoplethysmography (PPG) is a non-invasive technique that measures changes in blood flow volume through optical means. Accurate detection of peaks in the PPG waveform allows the extraction of the heart rate variability (HRV), a recognized indicator for the health of the cardiac and autonomic nervous systems. We make available a novel dataset comprising 66 minutes of PPG recordings from healthy individuals and patients with cardiopulmonary diseases, in three distinct phases of an acquisition protocol, with annotations for every systolic peak present. The dataset composition and organization are detailed in the paper that acompanies the dataset.

光电容积描记法（Photoplethysmography, PPG）是一种通过光学手段无创检测血流量变化的技术。精准识别PPG波形中的峰值，可提取心率变异性（heart rate variability, HRV）——这是公认的心脏与自主神经系统健康状态的评估指标。本研究公开发布了一套全新的数据集，包含来自健康个体与心肺疾病患者、按照一套采集方案的三个独立阶段采集的共计66分钟PPG信号记录，且对每一个收缩峰（systolic peak）均完成了标注。该数据集的构成与组织方式详见随该数据集附带的学术论文。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于光电容积脉搏波描记法（PPG）峰值检测的公开数据集，包含66分钟的PPG记录，数据来自健康个体和心肺疾病患者，并标注了每个收缩期峰值，旨在支持心率变异性（HRV）提取和相关算法研究。数据集由联邦大学和医院合作创建，附有论文和开源代码，适用于心脏健康监测和信号处理领域。