Overview项目概述
Acquired body-surface electrocardiogram (ECG) signals through an instrumentation front-end and analyzed them in both the time and frequency domains using MATLAB. The work pairs raw and gain-scaled time-domain waveforms with FFT-based frequency spectra to characterize the dominant cardiac frequency content and identify noise components such as 60 Hz line interference.通过仪表前端采集体表心电（ECG）信号，并使用 MATLAB 在时域和频域两方面进行分析。该工作将原始与增益缩放后的时域波形同基于 FFT 的频谱相结合，以刻画主要的心脏频率成分并识别诸如 60 Hz 工频干扰等噪声分量。
Gallery图库
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Time-domain ECG waveforms showing a single beat (top) and a multi-beat trace with clear QRS complexes (bottom).时域 ECG 波形：上图为单个心搏，下图为带有清晰 QRS 波群的多心搏记录。
FFT frequency spectra of two ECG recordings, with low-frequency cardiac energy and a visible 60 Hz interference peak.两段 ECG 记录的 FFT 频谱，可见低频心脏能量和明显的 60 Hz 干扰峰。
Raw A/D recorded voltage and the gain-corrected body-surface ECG signal reconstructed from the acquisition front-end.由采集前端重建的原始 A/D 记录电压与增益校正后的体表 ECG 信号。