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Jiang Z, Lee YS, Wang Y, John H, Fang L, Tang Y. Advancements in Flexible Sensors for Monitoring Body Movements during Sleep: A Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:5091. [PMID: 39204787 PMCID: PMC11359190 DOI: 10.3390/s24165091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/04/2024]
Abstract
Sleep plays a role in maintaining our physical well-being. However, sleep-related issues impact millions of people globally. Accurate monitoring of sleep is vital for identifying and addressing these problems. While traditional methods like polysomnography (PSG) are commonly used in settings, they may not fully capture natural sleep patterns at home. Moreover, PSG equipment can disrupt sleep quality. In recent years, there has been growing interest in the use of sensors for sleep monitoring. These lightweight sensors can be easily integrated into textiles or wearable devices using technology. The flexible sensors can be designed for skin contact to offer continuous monitoring without being obtrusive in a home environment. This review presents an overview of the advancements made in flexible sensors for tracking body movements during sleep, which focus on their principles, mechanisms, and strategies for improved flexibility, practical applications, and future trends.
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Affiliation(s)
- Zongyi Jiang
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Yee Sum Lee
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Yunzhong Wang
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Honey John
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
- Inter University Centre for Nanomaterials and Devices, Cochin University of Science and Technology, Kochi 682022, India
| | - Liming Fang
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
- National Engineering Research Centre for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou Higher Education Mega Centre, Panyu District, Guangzhou 510006, China
| | - Youhong Tang
- Institute for NanoScale Science and Technology, Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide 5042, Australia
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Gubin D, Danilenko K, Stefani O, Kolomeichuk S, Markov A, Petrov I, Voronin K, Mezhakova M, Borisenkov M, Shigabaeva A, Yuzhakova N, Lobkina S, Weinert D, Cornelissen G. Blue Light and Temperature Actigraphy Measures Predicting Metabolic Health Are Linked to Melatonin Receptor Polymorphism. BIOLOGY 2023; 13:22. [PMID: 38248453 PMCID: PMC10813279 DOI: 10.3390/biology13010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024]
Abstract
This study explores the relationship between the light features of the Arctic spring equinox and circadian rhythms, sleep and metabolic health. Residents (N = 62) provided week-long actigraphy measures, including light exposure, which were related to body mass index (BMI), leptin and cortisol. Lower wrist temperature (wT) and higher evening blue light exposure (BLE), expressed as a novel index, the nocturnal excess index (NEIbl), were the most sensitive actigraphy measures associated with BMI. A higher BMI was linked to nocturnal BLE within distinct time windows. These associations were present specifically in carriers of the MTNR1B rs10830963 G-allele. A larger wake-after-sleep onset (WASO), smaller 24 h amplitude and earlier phase of the activity rhythm were associated with higher leptin. Higher cortisol was associated with an earlier M10 onset of BLE and with our other novel index, the Daylight Deficit Index of blue light, DDIbl. We also found sex-, age- and population-dependent differences in the parametric and non-parametric indices of BLE, wT and physical activity, while there were no differences in any sleep characteristics. Overall, this study determined sensitive actigraphy markers of light exposure and wT predictive of metabolic health and showed that these markers are linked to melatonin receptor polymorphism.
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Affiliation(s)
- Denis Gubin
- Department of Biology, Tyumen Medical University, 625023 Tyumen, Russia
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Konstantin Danilenko
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
- Institute of Neurosciences and Medicine, 630117 Novosibirsk, Russia
| | - Oliver Stefani
- Department Engineering and Architecture, Institute of Building Technology and Energy, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland;
| | - Sergey Kolomeichuk
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
- Laboratory of Genetics, Institute of Biology of the Karelian Science Center, Russian Academy of Sciences, 185910 Petrozavodsk, Russia
| | - Alexander Markov
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Ivan Petrov
- Department of Biological & Medical Physics UNESCO, Medical University, 625023 Tyumen, Russia
| | - Kirill Voronin
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Marina Mezhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Mikhail Borisenkov
- Department of Molecular Immunology and Biotechnology, Institute of Physiology of the Federal Research Centre Komi Science Centre, Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, Russia;
| | - Aislu Shigabaeva
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Tyumen Medical University, 625023 Tyumen, Russia; (K.D.); (A.S.)
| | - Natalya Yuzhakova
- Laboratory for Genomics, Proteomics, and Metabolomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; (S.K.); (A.M.); (K.V.); (N.Y.)
| | - Svetlana Lobkina
- Healthcare Institution of Yamalo-Nenets Autonomous Okrug “Tarko-Sale Central District Hospital”, 629850 Urengoy, Russia;
| | - Dietmar Weinert
- Institute of Biology/Zoology, Martin Luther University, 06108 Halle-Wittenberg, Germany;
| | - Germaine Cornelissen
- Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, MN 55455, USA;
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Gubin D, Cornelissen G, Stefani O, Weinert D. Special Issue on “Research on Circadian Rhythms in Health and Disease”. APPLIED SCIENCES 2023; 13:10728. [DOI: 10.3390/app131910728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/07/2024]
Abstract
Despite rigorous investigation of circadian rhythms in humans and animal models in the past, basic chronobiologic principles have not yet entered clinical practice [...]
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Affiliation(s)
- Denis Gubin
- Department of Biology, Medical University, 625023 Tyumen, Russia
- Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Science, 634009 Tomsk, Russia
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia
| | - Germaine Cornelissen
- Halberg Chronobiology Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Oliver Stefani
- Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland
| | - Dietmar Weinert
- Institute of Biology/Zoology, Martin Luther University Halle-Wittenberg, 06108 Halle (Saale), Germany
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Bhanvadia SB, Meller L, Madjedi K, Weinreb RN, Baxter SL. Availability of Physical Activity Tracking Data from Wearable Devices for Glaucoma Patients. INFORMATION 2023; 14:493. [PMID: 37771713 PMCID: PMC10538478 DOI: 10.3390/info14090493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/30/2023] Open
Abstract
Physical activity has been found to potentially modulate glaucoma risk, but the evidence remains inconclusive. The increasing use of wearable physical activity trackers may provide longitudinal and granular data suitable to address this issue, but little is known regarding the characteristics and availability of these data sources. We performed a scoping review and query of data sources on the availability of wearable physical activity data for glaucoma patients. Literature databases (PubMed and MEDLINE) were reviewed with search terms consisting of those related to physical activity trackers and those related to glaucoma, and we evaluated results at the intersection of these two groups. Biomedical databases were also reviewed, for which we completed database queries. We identified eight data sources containing physical activity tracking data for glaucoma, with two being large national databases (UK BioBank and All of Us) and six from individual journal articles providing participant-level information. The number of glaucoma patients with physical activity tracking data available, types of glaucoma-related data, fitness devices utilized, and diversity of participants varied across all sources. Overall, there were limited analyses of these data, suggesting the need for additional research to further investigate how physical activity may alter glaucoma risk.
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Affiliation(s)
- Sonali B. Bhanvadia
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA 92093, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA 92093, USA
| | - Leo Meller
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA 92093, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA 92093, USA
| | - Kian Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 2PD, UK
- Department of Ophthalmology, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Robert N. Weinreb
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA 92093, USA
| | - Sally L. Baxter
- Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, CA 92093, USA
- Health Department of Biomedical Informatics, University of California San Diego, La Jolla, CA 92093, USA
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