HMM-based Estimation of Menstrual Cycle from Skin Temperature during Sleep

被引：3
|
作者：
Chen, Wenxi [1 ]
Kitazawa, Masumi [2 ]
Togawa, Tatsuo [3 ]
机构：
[1] Univ Aizu, Fukushima 9658580, Japan
[2] QQL Co Ltd, Tokyo 2060011, Japan
[3] Waseda Univ, Saitama 3591192, Japan
来源：
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年
基金：
日本科学技术振兴机构;
关键词：
D O I：
10.1109/IEMBS.2008.4649487
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
An HMM-based method is proposed to estimate biphasic property in female menstrual cycle. A tiny device is developed to measure skin temperature change during sleep. Data are collected from 30 female participants for 6 months. Raw data are preprocessed to remove obvious outliers and clamped between 34 and 42 degree Celsius. A two hidden states H:MM-based algorithm was applied to estimate the biphasic property in menstrual cycle. The results showed that the number of correctly detected menstrual cycle is 159 among 173 in 30 participants during 6 months. Overall sensitivity reaches 92.0%.
引用
收藏
页码：1635 / +
页数：2
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