.png){kind=icon}
Return
Efficient QRS complex detection algorithm based on Fast Fourier Transform
.png){kind=icon}
OA
AI
DOI：10.1007/s13534-018-0087-y.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
An ECG signal, generally filled with noise, when de-noised, enables a physician to effectively determine and predict the condition and health of the heart. This paper aims to address the issue of denoising a noisy ECG signal using the Fast Fourier Transform based bandpass filter. Multi-stage adaptive peak detection is then applied to identify the R-peak in the QRS complex of the ECG signal. The result of test simulations using the MIT/BIH Arrhythmia database shows high sensitivity and positive predictivity (P-P) of 99.98 and 99.96% respectively, confirming the accuracy and reliability of proposed algorithm for detecting R-peaks in the ECG signal.
Keywords:
Electrocardiogram (ECG)
Cardiovascular diseases (CVD)
Fast Fourier Transform (FFT)
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.8
Papers:
526
Citations:
1.5K
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveA comparison of the psychological test performance of patients with focal and nonfocal epilepsy
PREAI
ShareSaveA Dynamic Compression Scheme for Energy-Efficient Real-Time Wireless Electrocardiogram Biosensors
PREAI
ShareSaveShareSave
View more