Method conducted in a computer for classification of a time series having a prescribable number of samples

US6117074A · kind A · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Bernd Schurmann · Haimhausen, DE
• Gustavo Deco · Hersbruck, DE

Key dates

• Filing date: Sep 3, 1998
• Grant date: Sep 12, 2000
• Expiry date: Sep 3, 2018

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

In a computerized method for classification of a time series containing a prescribable number of samples, such as an electrical signal, a parameterized, dynamic set is determined in the computer from the samples in the time series, the set identifying non-linear correlations between the samples of the time series. A classification of the time series is implemented in the computer on the basis of the parameterized, dynamic multiplicity.