Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review

Long-term recording of a person’s activity (actimetry or actigraphy) using devices typically worn on the wrist is increasingly applied in sleep/wake, chronobiological, and clinical research to estimate parameters of sleep and sleep-wake cycles. With the recognition of the importance of light in infl...

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Main Authors: Konstantin V. Danilenko, Oliver Stefani, Kirill A. Voronin, Marina S. Mezhakova, Ivan M. Petrov, Mikhail F. Borisenkov, Aleksandr A. Markov, Denis G. Gubin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/22/11794
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author Konstantin V. Danilenko
Oliver Stefani
Kirill A. Voronin
Marina S. Mezhakova
Ivan M. Petrov
Mikhail F. Borisenkov
Aleksandr A. Markov
Denis G. Gubin
author_facet Konstantin V. Danilenko
Oliver Stefani
Kirill A. Voronin
Marina S. Mezhakova
Ivan M. Petrov
Mikhail F. Borisenkov
Aleksandr A. Markov
Denis G. Gubin
author_sort Konstantin V. Danilenko
collection DOAJ
description Long-term recording of a person’s activity (actimetry or actigraphy) using devices typically worn on the wrist is increasingly applied in sleep/wake, chronobiological, and clinical research to estimate parameters of sleep and sleep-wake cycles. With the recognition of the importance of light in influencing these parameters and with the development of technological capabilities, light sensors have been introduced into devices to correlate physiological and environmental changes. Over the past two decades, many such new devices have appeared from different manufacturers. One of the aims of this review is to help researchers and clinicians choose the data logger that best fits their research goals. Seventeen currently available light-and-motion recorders entered the analysis. They were reviewed for appearance, dimensions, weight, mounting, battery, sensors, features, communication interface, and software. We found that all devices differed from each other in several features. In particular, six devices are equipped with a light sensor that can measure blue light. It is noteworthy that blue light most profoundly influences the physiology and behavior of mammals. As the wearables market is growing rapidly, this review helps guide future developments and needs to be updated every few years.
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spelling doaj.art-33907c5c2cdc4ac89f2976e903e50cdd2023-11-24T07:41:01ZengMDPI AGApplied Sciences2076-34172022-11-0112221179410.3390/app122211794Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A ReviewKonstantin V. Danilenko0Oliver Stefani1Kirill A. Voronin2Marina S. Mezhakova3Ivan M. Petrov4Mikhail F. Borisenkov5Aleksandr A. Markov6Denis G. Gubin7Institute of Neurosciences and Medicine, 630117 Novosibirsk, RussiaCentre for Chronobiology, Psychiatric Hospital of the University of Basel, 4002 Basel, SwitzerlandLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, RussiaLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, RussiaDepartment of Biological & Medical Physics UNSECO, Medical University, 625023 Tyumen, RussiaInstitute of Physiology of Komi Science Center of the Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, RussiaLaboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, RussiaDepartment of Biology, Medical University, 625023 Tyumen, RussiaLong-term recording of a person’s activity (actimetry or actigraphy) using devices typically worn on the wrist is increasingly applied in sleep/wake, chronobiological, and clinical research to estimate parameters of sleep and sleep-wake cycles. With the recognition of the importance of light in influencing these parameters and with the development of technological capabilities, light sensors have been introduced into devices to correlate physiological and environmental changes. Over the past two decades, many such new devices have appeared from different manufacturers. One of the aims of this review is to help researchers and clinicians choose the data logger that best fits their research goals. Seventeen currently available light-and-motion recorders entered the analysis. They were reviewed for appearance, dimensions, weight, mounting, battery, sensors, features, communication interface, and software. We found that all devices differed from each other in several features. In particular, six devices are equipped with a light sensor that can measure blue light. It is noteworthy that blue light most profoundly influences the physiology and behavior of mammals. As the wearables market is growing rapidly, this review helps guide future developments and needs to be updated every few years.https://www.mdpi.com/2076-3417/12/22/11794humanactimetrymotionambient light
spellingShingle Konstantin V. Danilenko
Oliver Stefani
Kirill A. Voronin
Marina S. Mezhakova
Ivan M. Petrov
Mikhail F. Borisenkov
Aleksandr A. Markov
Denis G. Gubin
Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
Applied Sciences
human
actimetry
motion
ambient light
title Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
title_full Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
title_fullStr Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
title_full_unstemmed Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
title_short Wearable Light-and-Motion Dataloggers for Sleep/Wake Research: A Review
title_sort wearable light and motion dataloggers for sleep wake research a review
topic human
actimetry
motion
ambient light
url https://www.mdpi.com/2076-3417/12/22/11794
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