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A pilot study to detect human circadian rhythms using a novel thoracic temperature sensor

  • Aly Chkeir
    ,
  • Farah Mourad-Chehade
    ,
  • David Hewson
    ,
  • Jacques Duchêne
    ,
  • Francis Levi
    ,
  • Jacques Beau
  • Université de technologie de Troyes
    ,
  • University of Warwick
    ,
  • Institut national de la santé et de la recherche médicale
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Perturbations of circadian rhythms have been related to cancer progression and worsening of metabolic diseases. This paper aims at optimizing the analytical methods suited for the detection of such perturbations using skin temperature signals as a circadian biomarker. Five control subjects were evaluated in this pilot study. Skin temperature was recorded every five minutes for four days. Using a novel thoracic infrared sensor. Four different interpolation methods were compared in order to replace missing values and help subsequently prolong sensor battery life. A Cosinor model was used to characterize circadian rhythms, and compute relevant parameters, with their confidence limits. A divergence study is then proposed to detect changes in these parameters. The results support the enlargement of the sample size and warrant further assessment in cancer patients.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 31/12/2016

Publication status

Published - 31/12/2016

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication IDs

  • handle.net: 10547/623485
  • Scopus: 85015701468

Host publication title

2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)

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