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
收藏
页码：2978 / 2981
页数：4
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