Name
Abstract | ||
|---|---|---|
This paper describes an application of computer processing of 35-lead electrocardiographic (EKG) maps as a tool in cardiac research. This physiological signal analysis system has been implemented on an IBM 1800 process control computer at the Clinical Cardiology Computer Center at the University of Alabama in Birmingham. The precision obtained from computer processing of physiological signals provides clinical research scientists with accurate data analysis. |
Year | DOI | Venue |
|---|---|---|
1980 | 10.1145/503838.503890 | ACM Southeast Regional Conference 2005 |
Keywords | Field | DocType |
computer processing,35-lead ekg map,physiological signal analysis system,physiological signal,cardiac research,computer analysis,clinical cardiology computer center,process control computer,35-lead electrocardiographic,clinical research scientist,accurate data analysis,cooperation,adaptability,process control,data analysis,clinical research,cardiology,signal analysis | Signal processing,Data mining,IBM,Engineering drawing,Software engineering,Computer science,Computer analysis,Computer processing | Conference |
ISBN | Citations | PageRank |
0-89791-014-1 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew W. Ferretti | 1 | 0 | 0.34 |
| Dimitry Zissermann | 2 | 0 | 1.01 |
| Eugene M. Strand | 3 | 5 | 3.38 |
| William J. Rogers | 4 | 8 | 3.40 |