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A syntactic algorithm for peak detection in waveforms with applications to cardiography
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Communications of the ACM archive
Volume 18 ,  Issue 5  (May 1975) table of contents
Pages: 281 - 285  
Year of Publication: 1975
ISSN:0001-0782
Author
Steven L. Horowitz  Univ. of California, Berkeley
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 68,   Citation Count: 5
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ABSTRACT

Peaks in a digitized waveform are detected by an algorithm incorporating piecewise linear approximation and tabular parsing techniques. Several parameters serve to identify the waveform context enabling accurate measurement of peak amplitude, duration, and shape. The algorithm is of sufficient speed to allow on-line real-time processing. An example of its application is demonstrated on an electrocardiogram.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Wartak, J., Milliken, J.A., and Kalchmar, J. A computer program for pattern recognition of electrocardiograms. Computers and Biomedical Research 3, 4 (Aug. 1970), 344-374.
 
2
Bonner, R.E., et al., A new computer program for analysis of scalar electrocardiograms. Computers bl Biomedical Research, 5, 6 (Dec. 1972), 629-653.
 
3
Stockman, G.C., Kanal, L.N., and Kyle, M.C. Design of a waveform parsing system. Proc. First Internat. Joint Conf. on Pattern Recognition, 1973, pp. 236-243.
 
4
Pavlidis, T. Linguistic analysis of waveforms. In Software Engineerbtg, Vol. 4, J. T. Tou, (Ed.), Academic Press, New York, 1971, pp. 203-225.
 
5
Pavlidis, T. Waveform segmentation through functional approximation. IEEE Trans. Comput. C-22, 7 (July 1973), 689-697.
 
6
Pavlidis, T., and Horowitz, S.L. Segmentation of plane curves IEEE Trans. Comput. C-23, 8 (Aug. 1974), 860-870.
 
7