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; Monique Maurice; Sandra Komarzynski

doi:10.1109/BIOSMART.2016.7835464

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
, Monique Maurice
, Sandra Komarzynski

Institute of Health Research (IHR)

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

1 Citation (Scopus)

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.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
DOIs	https://doi.org/10.1109/BIOSMART.2016.7835464
Publication status	Published - 31 Dec 2016
Event	2016 International Conference on Bio-engineering for Smart Technologies (BioSMART) - Dubai Duration: 4 Dec 2016 → 7 Dec 2016

Conference

Conference	2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)
City	Dubai
Period	4/12/16 → 7/12/16
Other	2016 International Conference on Bio-engineering for Smart Technologies (BioSMART) (04/12/2016-07/12/2016, Dubai)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

circadian rhythm
cosinor
divergence
interpolation
temperature

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10.1109/BIOSMART.2016.7835464

https://ieeexplore.ieee.org/abstract/document/7835464

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Cite this

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title = "A pilot study to detect human circadian rhythms using a novel thoracic temperature sensor",

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.",

keywords = "circadian rhythm, cosinor, divergence, interpolation, temperature",

author = "Aly Chkeir and Farah Mourad-Chehade and David Hewson and Jacques Duch{\^e}ne and Francis Levi and Jacques Beau and Monique Maurice and Sandra Komarzynski",

year = "2016",

month = dec,

day = "31",

doi = "10.1109/BIOSMART.2016.7835464",

language = "English",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 International Conference on Bio-engineering for Smart Technologies (BioSMART) ; Conference date: 04-12-2016 Through 07-12-2016",

}

Chkeir, A, Mourad-Chehade, F, Hewson, D, Duchêne, J, Levi, F, Beau, J, Maurice, M & Komarzynski, S 2016, A pilot study to detect human circadian rhythms using a novel thoracic temperature sensor. in nan. Institute of Electrical and Electronics Engineers Inc., 2016 International Conference on Bio-engineering for Smart Technologies (BioSMART), Dubai, 4/12/16. https://doi.org/10.1109/BIOSMART.2016.7835464

TY - GEN

T1 - A pilot study to detect human circadian rhythms using a novel thoracic temperature sensor

AU - Chkeir, Aly

AU - Mourad-Chehade, Farah

AU - Hewson, David

AU - Duchêne, Jacques

AU - Levi, Francis

AU - Beau, Jacques

AU - Maurice, Monique

AU - Komarzynski, Sandra

PY - 2016/12/31

Y1 - 2016/12/31

N2 - 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.

AB - 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.

KW - circadian rhythm

KW - cosinor

KW - divergence

KW - interpolation

KW - temperature

U2 - 10.1109/BIOSMART.2016.7835464

DO - 10.1109/BIOSMART.2016.7835464

M3 - Conference contribution

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)

Y2 - 4 December 2016 through 7 December 2016

ER -

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

Abstract

Conference

UN SDGs

Keywords

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