dc.contributor.author |
Manis, G |
en |
dc.contributor.author |
Alexandridi, A |
en |
dc.contributor.author |
Nikolopoulos, S |
en |
dc.date.accessioned |
2014-03-01T02:49:19Z |
|
dc.date.available |
2014-03-01T02:49:19Z |
|
dc.date.issued |
2003 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34499 |
|
dc.subject |
Approximation Method |
en |
dc.subject |
Healthy Subjects |
en |
dc.subject |
Least Squares Approximation |
en |
dc.subject |
Linear Predictive |
en |
dc.subject |
Signal Analysis |
en |
dc.subject |
Heart Rate |
en |
dc.title |
Diagnosis of cardiac pathology through prediction and approximation methods |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ISSPA.2003.1224813 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ISSPA.2003.1224813 |
en |
heal.publicationDate |
2003 |
en |
heal.abstract |
The heart rate signal contains valuable information and its analysis has proven very useful in distinguishing healthy subject cardiograms from those of subjects with a variety of cardiac pathologies. The approach proposed here introduces a new use of prediction and approximation methods for the differentiation between healthy and unhealthy subjects. Local linear prediction and least squares approximation, though common in |
en |
heal.journalName |
International Symposium on Signal Processing and Its Applications |
en |
dc.identifier.doi |
10.1109/ISSPA.2003.1224813 |
en |