HMM-based estimation of menstrual cycle from skin temperature during sleep

Author

Chen, Wenxi ; Kitazawa, Masumi ; Togawa, Tatsuo

Author_Institution

University of Aizu, Fukushima 965-8580 Japan

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

1635

Lastpage

1638

Abstract

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 HMM-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%.

Keywords

Bars; Biochemistry; Hidden Markov models; Phase estimation; Plasma temperature; Skin; Sleep; Surges; Temperature measurement; Temperature sensors; Adolescent; Adult; Algorithms; Biomedical Engineering; Cellular Phone; Female; Humans; Markov Chains; Menstrual Cycle; Middle Aged; Models, Biological; Skin Temperature; Sleep; Thermometers; Young Adult;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649487

Filename

4649487