如何配置MIT-BIH心电图数据及其寻峰算法的设计与实现

How to Configure MIT-BIH Electrocardiogram Data and the Design and Implementation of Its Peak-Finding Algorithm

摘要: 针对心电图数据解析复杂与特征提取精度不足的问题，本文设计了一套从底层数据处理到特征定位的完整方案。首先基于MIT-BIH数据库，详细阐述了WFDB格式解析机制，完成原始信号到物理电压的转换，并构建了数据可视化验证平台。其次，结合差分、平方与滑动窗口积分等技术改进了寻峰算法，有效抑制基线漂移与噪声干扰，实现了高精度的R波检测。实验表明，该方案在复杂环境下鲁棒性强，为心血管疾病的智能辅助诊断提供了可靠的数据与算法支撑。

Abstract: Aiming at the problems of complex analysis of electrocardiogram data and insufficient accuracy in feature extraction, this paper designs a complete solution from low-level data processing to feature location. Firstly, based on the MIT-BIH database, the WFDB format parsing mechanism was elaborated in detail to complete the conversion from the original signal to the physical voltage, and a data visualization verification platform was constructed. Secondly, the peak-finding algorithm was improved by integrating techniques such as difference, square, and sliding window integration, effectively suppressing baseline drift and noise interference, and achieving high-precision R-wave detection. Experiments show that this scheme has strong robustness in complex environments and provides reliable data and algorithm support for the intelligent auxiliary diagnosis of cardiovascular diseases.