Implementation of ECG signal processing and analysis techniques in digital signal processor based system

Author(s):  
D. Balasubramaniam ◽  
D. Nedumaran
Author(s):  
Y.C. Park ◽  
B.M. Cho ◽  
N.H. Kim ◽  
W.K. Kim ◽  
S.H. Park ◽  
...  

2013 ◽  
Vol 391 ◽  
pp. 555-559
Author(s):  
Yu Chen ◽  
Qiong Qiong Xu ◽  
Jian Wei Leng

This paper presents a kind of design scheme about radar echo wave signal processing system based on digital signal processor (TMS320C6416) and FPGA (EP2C8Q). This scheme is used to timely monitor radar echo data and then calculates it. Distance of target items can be obtained by this method. Take advantage of flexibility and easy-processing complicated data of FPGA and DSP, we promote property of this system to a large extent


1987 ◽  
Vol 75 (9) ◽  
pp. 1246-1259 ◽  
Author(s):  
W.S. Gass ◽  
R.T. Tarrant ◽  
B.I. Pawate ◽  
M. Gammel ◽  
P.K. Rajasekaran ◽  
...  

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Jie Lian

In today's world, the development of economy has led to the continuous development and evolution of science and technology. Computer technology and large-scale integration technology have been well developed and applied, followed by the technology of digital signal processing DSP production and application. In the field of logging, the application function of this technology plays a key role. It not only allows the imaging logging technology to be further developed, but also enables fast and accurate processing of downhole signals. Therefore, among many logging tools today, digital signal processing DSPs have been widely used, and their functions have been fully utilized. This paper analyzes the application of signal processor DSP in logging instruments. It is hoped that it can play a reference role in the good application and development of logging instruments.


2020 ◽  
Vol 20 (12) ◽  
pp. 6492-6503 ◽  
Author(s):  
Ngoc Thang Bui ◽  
Duc Tri Phan ◽  
Thanh Phuoc Nguyen ◽  
Giang Hoang ◽  
Jaeyeop Choi ◽  
...  

2019 ◽  
Vol 4 (3) ◽  
pp. 163-165
Author(s):  
Ledisi Giok Kabari ◽  
Ugochukwu C. Onwuka

Electrocardiogram is the record of electrical activity of heart. ECG is a test to detect and study normal rhythmic activity of the heart. Signal processing are very often used methods in a biomedical engineering research. This paper presents Bradycardia detection by utilization of digital signal filtering on electrocardiogram (ECG) using MATLAB. MATLAB was used to analyze and process ECG dataset gotten from Physionet online database with focus on R-R peaks to calculate the heartbeat, by applying high pass filtering and squaring the signal. The results obtained using MATLAB for ECG analysis and detection of arrhythmia is very fast and useful.


1984 ◽  
Vol 21 (1) ◽  
pp. 47-61 ◽  
Author(s):  
Trevor J. Terrell ◽  
Robert J. Simpson

The concepts of single-chip digital signal processing are presented via a student-oriented tutorial/laboratory case study. This involves the design of a highpass digital filter using the first-difference design method and its implementation using the NEC μPD7720 Signal Processor.


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