Implementation of a real-time ECG signal processor

2014 ◽  
Author(s):  
Shih-Yu Chang Chien ◽  
Cheng-Han Hsieh ◽  
Mark Po-Hung Lin ◽  
Qiang Fang ◽  
Shuenn-Yuh Lee
Keyword(s):  
Real Time ◽  
Ecg Signal ◽  
Signal Processor

Real-time digital signal processor-based system for MHD mode identification in ISTTOK

2004 ◽  
Vol 75 (10) ◽  
pp. 4265-4267
Author(s):  
B. B. Carvalho ◽  
H. Fernandes ◽  
J. Sousa ◽  
C. A. F. Varandas
Keyword(s):  
Real Time ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Mode Identification ◽  
Signal Processor

A revised scheme for real time ECG Signal denoising based on recursive filtering

2016 ◽  
Vol 27 ◽  
pp. 134-144 ◽  
Author(s):  
S. Cuomo ◽  
G. De Pietro ◽  
R. Farina ◽  
A. Galletti ◽  
G. Sannino
Keyword(s):  
Real Time ◽  
Signal Denoising ◽  
Ecg Signal ◽  
Recursive Filtering

A single-chip 16-bit 25-ns real-time video/image signal processor

1989 ◽  
Vol 24 (6) ◽  
pp. 1662-1667 ◽  
Author(s):  
K. Kikuchi ◽  
Y. Nukada ◽  
Y. Aoki ◽  
T. Kanou ◽  
Y. Endo ◽  
...  
Keyword(s):  
Real Time ◽  
Video Image ◽  
Single Chip ◽  
Image Signal Processor ◽  
Signal Processor

A fetal ECG signal monitoring system using digital signal processor

2003 ◽  
Author(s):  
Y.C. Park ◽  
B.M. Cho ◽  
N.H. Kim ◽  
W.K. Kim ◽  
S.H. Park ◽  
...  
Keyword(s):  
Monitoring System ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Ecg Signal ◽  
Fetal Ecg ◽  
Signal Monitoring ◽  
Signal Processor

Efficient and Robust Approach for Heartbeat Detection of ECG Signal

2019 ◽  
Vol 29 (08) ◽  
pp. 2050133
Author(s):  
Anas Fouad Ahmed ◽  
Mohammed Abdulmunem Ahmed ◽  
Hussain Mustafa Bierk
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Suggested Method ◽  
The Other ◽  
Ecg Signal ◽  
Excellent Performance ◽  
Robust Approach ◽  
Different Types ◽  
Three Stages ◽  
Electrocardiogram Ecg

This paper introduces an efficient and robust method for heartbeat detection based on the calculated angles between the successive samples of electrocardiogram (ECG) signal. The proposed approach involves three stages: filtering, computing the angles of the signal and thresholding. The suggested method is applied to two different types of ECG databases (QTDB and MIT-BIH). The results were compared with the other algorithms suggested in previous works. The proposed approach outperformed the other algorithms, in spite of its simplicity and their fast calculations. These features make it applicable in real-time ECG diagnostics systems. The suggested method was implemented in real-time using a low cost ECG acquisition system and it shows excellent performance.

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