论文标题
Amark：卧床ECG数据的自动标记和处理技术
Amark: Automated Marking and Processing Techniques for Ambulatory ECG Data
论文作者
论文摘要
我们描述了MATLAB软件的技术和规格，以处理心理心电图（ECG）数据。通过基于模板的Beat识别和简单的模式识别模型，在常规心跳之间的间隔中，我们过滤了波形和异位节拍的嘈杂部分。我们的端到端过程可用于分析心电图和心率可变性指标后的计算，在调整，去除和插值后。对人类通知的MIT-BIH雅典和噪声应力测试数据库进行了分类和噪声检测。
We describe techniques and specifications of MATLAB software to process ambulatory electrocardiogram (ECG) data. Through template-based beat identification and simple pattern recognition models on the intervals between regular heart beats, we filter noisy sections of waveform and ectopic beats. Our end-to-end process can be used towards analysis of ECG and calculation of heart rate variability metrics after beat adjustments, removals and interpolation. Classification and noise detection is assessed on the human-annotated MIT-BIH Arrythmia and Noise Stress Test Databases.
