![]() ![]() Therefore, it is critical that the sampling frequency is consistent at the same frequency of the ECG signal for accurate diagnosis. This study will compare characterization of ECG signals performed at different sampling frequencies before and after applying infinite impulse response (IIR) and symmetric finite impulse response (FIR) filters. We analyzed the symmetrical correlation between the sampling frequency of the signal and the parameters of the signal such as signal to noise ratio (SNR) and signal amplitude. ![]() ![]() ![]() However, the noises in the signal will be more obvious and it will be difficult to remove these noises with filters. ECG signals with high sampling frequency are more accurate. A clear ECG signal makes it easy to diagnose cardiovascular problems. Removing these noises is important for improving the quality of the ECG signal. There are mainly two types of noises that affect the ECG signals: low frequencies from muscle activity and 50/60 Hz from the electrical grid. However, ECG signals are often affected by noises from the environment. ECG devices are widely used for many applications, especially for the elderly. ECG signals are typically characterized by the PR, QRS, QT interval, ST-segment, and heart rate (HR) parameters. Electrocardiogram (ECG) signals have been used to monitor and diagnose signs of cardiovascular disease and abnormal signals about the human body. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |