Patient illness classification using time-frequency features derived from the photoplethysmogram

被引：0

作者：

Watson, JN ^{[1
]}

Addison, PS ^{[1
]}

Leonard, P ^{[1
]}

Beattie, TF ^{[1
]}

机构：

[1] Elvingston Sci Ctr, Cardiodigital Ltd, Gladsmuir, East Lothian, Scotland

来源：

PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷

关键词：

photoplethysmogram; wavelet transform; illness identification; illness severity;

D O I：

10.1109/IEMBS.2003.1280544

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

We report on preliminary results from a study in which statistical features derived from the time-frequency decomposition of the plethysmographic waveform were used as input to a classifier of patient illness severity. It is shown how features derived from a wavelet decomposition can be used to identify 'ill' patients from a mixed 'ill' / 'healthy' data set. Further, an attempt to stratify according to patient illness severity is described.

引用

页码：2978 / 2981

页数：4

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