Research on Advanced Computer Methods for Biological Data Processing
Report Number: AMRL TR 66-24
Author(s): Streeter, D. N., Raviv, J.
Corporate Author(s): Thomas J. Watson Research Center, International Business Machines Corporation
Laboratory: Aerospace Medical Research Laboratories
Date of Publication: 1966-04
Pages: 58
Contract: AF 33(615)-2047
DoD Project: 7233 - Biological Information Handling Systems and Their Functional Analogs
DoD Task: 723305 - Theory of Information Handling
Identifier: AD0637452
Abstract:
The purpose of the research is the development of mathematical methods and computer programs for the extraction of meaningful information from biological, primarily neurophysiological, measurements. Emphasis was placed on statistical methods suitable for separating two or more random signals and which provide insight into the underlying mechanism by which the signals are generated. Loeve-Karhunen expansion and discriminant analysis methods are applied to the problem of time signal classification. Experiments are performed both on computer generated time signals and on electroencephalograms. Methods of coping with the singularity problem arising from a small sample size are investigated.
Provenance: RAF Centre of Aviation Medicine
Author(s): Streeter, D. N., Raviv, J.
Corporate Author(s): Thomas J. Watson Research Center, International Business Machines Corporation
Laboratory: Aerospace Medical Research Laboratories
Date of Publication: 1966-04
Pages: 58
Contract: AF 33(615)-2047
DoD Project: 7233 - Biological Information Handling Systems and Their Functional Analogs
DoD Task: 723305 - Theory of Information Handling
Identifier: AD0637452
Abstract:
The purpose of the research is the development of mathematical methods and computer programs for the extraction of meaningful information from biological, primarily neurophysiological, measurements. Emphasis was placed on statistical methods suitable for separating two or more random signals and which provide insight into the underlying mechanism by which the signals are generated. Loeve-Karhunen expansion and discriminant analysis methods are applied to the problem of time signal classification. Experiments are performed both on computer generated time signals and on electroencephalograms. Methods of coping with the singularity problem arising from a small sample size are investigated.
Provenance: RAF Centre of Aviation Medicine