Implementation of adaptive filters for ECG Data Processing

2008 ◽  
Author(s):  
Olga Shultseva ◽  
Johann Hauer
Keyword(s):  
Data Processing ◽  
Adaptive Filters ◽  
Ecg Data

ECG Data Processing with the Hanover Program

2015 ◽  
pp. 127-131
Author(s):  
H. Abel ◽  
C. Zywietz ◽  
W. Schiemann ◽  
W. Alraun
Keyword(s):  
Data Processing ◽  
Ecg Data

Adaptive Filters for Water Level Data Processing

2007 ◽  
Author(s):  
Dragoljub Pokrajac ◽  
Natasa Reljin ◽  
Michael Reiter ◽  
Stephanie Stotts ◽  
Robert Scarborough ◽  
...  
Keyword(s):  
Data Processing ◽  
Water Level ◽  
Adaptive Filters ◽  
Level Data ◽  
Water Level Data

Application of the recursive‐approaching signal filter (RASF) to VSP data processing

Geophysics ◽  
1997 ◽  
Vol 62 (4) ◽  
pp. 1059-1068 ◽  
Author(s):  
Chuanwen Sun ◽  
Philip D. Rabinowitz ◽  
Norman C. Griswold
Keyword(s):  
Data Processing ◽  
Gaussian Noise ◽  
Adaptive Filters ◽  
Median Filtering ◽  
Step Functions ◽  
Vsp Data ◽  
Filtering Technique ◽  
Modeling Data ◽  
Computational Simplicity ◽  
Signal Filter

The recursive‐approaching signal filter (RASF) is a newly developed filtering technique that combines many advantages of linear, nonlinear, and adaptive filters. It passes step functions without altering them and removes many types of noise, such as Gaussian and Laplacian distributed noise. When applied to VSP data processing, the RASF emphasizes those abrupt discontinuities that originate or terminate at discrete depth points and effectively accomplishes the separation of upgoing and downgoing wave modes. The RASF may be transformed into a desired filter by simply changing a parameter to achieve the maximum usefulness of VSP field data. In the tests with the synthetic VSP modeling data corrupted by white Gaussian noise and real VSP data, the RASF compares favorably to f-k velocity and median filtering methods in removing noise, preserving step functions, and computational simplicity.

scholarly journals USAGE OF WAVELET TRANSFORM FOR ECG DATA PROCESSING AND ANALYSIS IN INSTRUMENTAL CARDIOLOGY

2018 ◽  
Vol 22 (6) ◽  
pp. 116-122
Author(s):  
O.M. Poleshchuk ◽  
◽  
N.G. Poyarkov ◽  
N.A. Yashin ◽  
◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Data Processing ◽  
Ecg Data

Serial Communication Based on LabVIEW for the Development of an ECG Monitor

2013 ◽  
Vol 734-737 ◽  
pp. 3003-3006
Author(s):  
Bing Yang ◽  
Yu Guo ◽  
Zhi Dong Wang ◽  
Yan Gao
Keyword(s):  
Data Processing ◽  
Program Development ◽  
Virtual Instrument ◽  
Serial Communication ◽  
High Efficient ◽  
Processing And Storage ◽  
Opening And Closing ◽  
Electrocardiogram Ecg ◽  
And Storage ◽  
Ecg Data

The techniques of serial communication utilized in a developed electrocardiogram (ECG) monitor programmed by the LabVIEW are introduced in the paper. By utilized the VISA serial communication functions included in the LabVIEW, some functions of serial ports such as opening and closing, commands sending and responses receiving, etc. can be easily called. Then, the communication between the ECG sensor and the ECG virtual instrument is established. By this way, the opening and the closing controls of the ECG sensor, the ECG data acquisition, the data processing and storage, the real-time drawing of the ECG waveform and so on can performed simply. As a result, serial communication by the LabVIEW make the program development of the ECG monitor becoming much quicker, more convenient and high efficient.

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