A data process and wavelet analysis method used for monitoring daily physiological attributes

Yoshitsugu Yasui, Tian Qian, Noriyoshi Yamauchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An analytical technique to evaluate human physiological states is developed for real-life implementation, achieving stable acquisition of data during normal human activity, even with the presence of several constraints and interruptions. Accurately measuring physiological characteristics for extended durations with minimal physical intrusiveness is desirable, something that can be accomplished by using the ubiquitous cellular phone already being used in daily life. Wavelet analysis and its data processing techniques for physiological data are proposed and examined. The data recovery and denoising methodologies are presented to make sense of human body attributes from incomplete data sets extracted when measuring normal daily life. Using the proposed techniques, the continuous measuring of both heart rate and body temperature can clearly expose changes in daily physiological patterns. The aim of developing this method is to identify subtle changes in human body response with limited instrumentation and calculation, by monitoring for long durations even when subjected to severe noise and data set interruptions.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages1447-1450
Number of pages4
Publication statusPublished - 2008 Dec 1
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 2008 Aug 202008 Aug 25

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period08/8/2008/8/25

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Fingerprint Dive into the research topics of 'A data process and wavelet analysis method used for monitoring daily physiological attributes'. Together they form a unique fingerprint.

  • Cite this

    Yasui, Y., Qian, T., & Yamauchi, N. (2008). A data process and wavelet analysis method used for monitoring daily physiological attributes. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 1447-1450). [4649439] (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").