Raw Electrochemical Voltammetry Data for Cardiac Troponin Detection

This dataset supports the development of an interactive web-based diagnostic system for early detection of heart disease using electrochemical voltammetry techniques. The raw data was generated using cyclic voltammetry (CV) and differential pulse voltammetry (DPV) with a low-cost potentiostat and carbon-based electrodes to detect cardiac troponin levels. The dataset includes voltage–current pairs in CSV format, which were processed using custom algorithms for baseline correction and peak detection. These processed signals enable the calculation of current response values used to predict the presence or absence of cardiac biomarkers. This work integrates electrochemical sensor data, biomedical signal processing, and data visualization to improve accessibility and accuracy in heart disease diagnostics.

本数据集可为基于交互式网页的心脏病早期检测诊断系统的开发提供支撑，该系统采用电化学伏安法技术开展检测。原始数据通过循环伏安法（Cyclic Voltammetry, CV）与差分脉冲伏安法（Differential Pulse Voltammetry, DPV）生成，实验使用低成本恒电位仪与碳基电极，以检测心肌肌钙蛋白水平。本数据集包含CSV格式的电压-电流对数据，经定制化算法完成基线校正与峰检测处理。这些经处理的信号可用于计算电流响应值，进而预测心脏生物标志物的存在与否。本研究整合电化学传感器数据、生物医学信号处理与数据可视化技术，以提升心脏病诊断的可及性与准确性。