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Author Whipple, Gerald H. ♦ Okajima, Mitsuharu ♦ Stark, Lawrence
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract The use of programmed digital computers as general pattern classification and recognition devices is one phase of the current lively interest in artificial intelligence. It is important to choose a class of signals which is, at present, undergoing a good deal of visual inspection by trained people for the purpose of pattern recognition. In this way comparisons between machine and human performance may be obtained. A practical result also serves as additional motivation. Clinical electrocardiograms make up such a class of signals.The approach to the problem presented here centers upon the use of multiple adaptive matched filters that classify normalized signals. The present report gives some of the background for the application of this method.
Description Affiliation: Boston Univ., Boston, MA (Whipple, Gerald H.) || Massachusetts Institute of Technology, Cambridge (Stark, Lawrence) || Univ. of Nagoya, Japan (Okajima, Mitsuharu)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 5
Issue Number 10
Page Count 5
Starting Page 527
Ending Page 531

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Source: ACM Digital Library