生物电信号诸如心电信号与人体健康状况息息相关。本课题以心电信号为研究对象，设计并实现了心电信号在线检测和分析系统。首先，采用了AD8232模块，实现心电信号的实时检测、滤波和放大；其次，分别采用差分阈值法和K-means算法对心电信号进行分析，计算得到心率变化；最后，设计了面向用户的人机交互界面，将检测到的信号和分析计算结果，实时反馈给使用者。 The neurophysiological signals such as ECG (Electrocardiogram) are closely related to human health. In this study, a real-time detection and analysis system for ECG is designed and implemented, with ECG as research object. Firstly, the AD8232 module is adopted to realize the real-time detection, filtering and amplification of ECG signals. Secondly, the difference threshold method and the K-means algorithm are used to analyze the ECG signals, and the heart rate variance is calculated. Finally, a user-oriented interface is designed to illustrate the detected signals and the analysis and calculation results for users.
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机译：生物电信号诸如心电信号与人体健康状况息息相关。本课题以心电信号为研究对象，设计并实现了心电信号在线检测和分析系统。首先，采用了AD8232模块，实现心电信号的实时检测、滤波和放大;其次，分别采用差分阈值法和K-means算法对心电信号进行分析，计算得到心率变化;最后，设计了面向用户的人机交互界面，将检测到的信号和分析计算结果，实时反馈给使用者。 The neurophysiological signals such as ECG (Electrocardiogram) are closely related to human health. In this study, a real-time detection and analysis system for ECG is designed and implemented, with ECG as research object. Firstly, the AD8232 module is adopted to realize the real-time detection, filtering and amplification of ECG signals. Secondly, the difference threshold method and the K-means algorithm are used to analyze the ECG signals, and the heart rate variance is calculated. Finally, a user-oriented interface is designed to illustrate the detected signals and the analysis and calculation results for users.
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