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Sensors and Sensing Technologies for Circadian Rhythms
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Sensors and Sensing Technologies for Circadian Rhythms

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 2234

Special Issue Editor

Dr. Jihwan Myung

E-Mail Website
Guest Editor
Graduate Institute of Mind Brain and Consciousness, Taipei Medical University, Taipei, Taiwan
Interests: circadian neuroscience; neural oscillations; computational neuroscience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are in a new era of widespread sensing technology use for circadian rhythms. This is realized through the everyday use of smartwatches that monitor not just activities but also physiological parameters to some degree, and also by integrated smartphone monitoring. The data collected have the potential to improve sleep quality, optimize performance and productivity, facilitate diagnoses for personalized medicine, and prevent diseases linked to circadian disruptions. We invite submissions that explore the possibility of integrating these novel datasets and designing sensors and sensing technologies. Potential topics include not only real-time monitoring but also the application of algorithms for data analysis and disruption prediction. Studies showcasing real-world applications, as well as contributions to research and clinical applications in circadian biology, are highly welcome

Dr. Jihwan Myung
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • circadian rhythms
  • biological clock
  • real-time monitoring
  • circadian biology

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Published Papers (2 papers)

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Research

14 pages, 476 KiB  
Article
Validation of a Neurophysiological-Based Wearable Device (Somfit) for the Assessment of Sleep in Athletes
by Gregory D. Roach, Dean J. Miller, Stephanie J. Shell, Kathleen H. Miles and Charli Sargent
Sensors 2025, 25(7), 2123; https://doi.org/10.3390/s25072123 - 27 Mar 2025
Viewed by 386
Abstract
The aim of the study was to examine the validity of a neurophysiological-based wearable device, i.e., Somfit (Compumedics Ltd.), for the assessment of sleep in athletes. Twenty-seven athletes (14 F, 13 M, aged 22.3 ± 5.1 years) spent a single night in a [...] Read more.
The aim of the study was to examine the validity of a neurophysiological-based wearable device, i.e., Somfit (Compumedics Ltd.), for the assessment of sleep in athletes. Twenty-seven athletes (14 F, 13 M, aged 22.3 ± 5.1 years) spent a single night in a sleep laboratory. The participants had 9 h in bed (23:00–08:00) while fitted simultaneously with Somfit and polysomnography (PSG), i.e., the gold standard for the assessment of sleep. Somfit and PSG were used to independently categorise each 30-s epoch of time in bed into one of five states, i.e., wake, stage 1 non-REM sleep (N1), stage 2 non-REM sleep (N2), stage 3 non-REM sleep (N3), or REM sleep. There were large differences between participants in terms of the amount of Somfit data that were successfully captured/scored, so three subsets were considered in the subsequent analyses: unfiltered subset (n = 26)—all participants, except one for whom no Somfit data were captured/scored; good-capture subset (n = 15)—participants for whom > 80% of Somfit data were captured/scored; excellent-capture subset (n = 7)—participants for whom > 99.9% of Somfit data were captured/scored. Agreement for the five-state categorisation of time in bed was calculated as the percentage of PSG epochs correctly scored by Somfit as N1, N2, N3, REM, or wake. Agreement (and Cohen’s kappa) was 63% (0.47) for the unfiltered subset, 66% (0.52) for the good-capture subset, and 79% (0.70) for the excellent-capture subset. These data indicate a moderate–substantial level of agreement between Somfit and PSG for the assessment of sleep in athletes. Wearable devices that can capture valid sleep data may also be used to derive important measures related to the circadian system, such as sleep consistency and social jet lag. Full article
(This article belongs to the Special Issue Sensors and Sensing Technologies for Circadian Rhythms)
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11 pages, 1908 KiB  
Article
Enhancing Bioluminescence Imaging of Cultured Tissue Explants Using Optical Telecompression
by Jihwan Myung
Sensors 2024, 24(18), 6041; https://doi.org/10.3390/s24186041 - 18 Sep 2024
Viewed by 1301
Abstract
Long-term observation of single-cell oscillations within tissue networks is now possible by combining bioluminescence reporters with stable tissue explant culture techniques. This method is particularly effective in revealing the network dynamics in systems with slow oscillations, such as circadian clocks. However, the low [...] Read more.
Long-term observation of single-cell oscillations within tissue networks is now possible by combining bioluminescence reporters with stable tissue explant culture techniques. This method is particularly effective in revealing the network dynamics in systems with slow oscillations, such as circadian clocks. However, the low intensity of luciferase-based bioluminescence requires signal amplification using specialized cameras (e.g., I-CCDs and EM-CCDs) and prolonged exposure times, increasing baseline noise and reducing temporal resolution. To address this limitation, we implemented a cost-effective optical enhancement technique called telecompression, first used in astrophotography and now commonly used in digital photography. By combining a high numerical aperture objective lens with a magnification-reducing relay lens, we significantly increased the collection efficiency of the bioluminescence signal without raising the baseline CCD noise. This method allows for shorter exposure times in time-lapse imaging, enhancing temporal resolution and enabling more precise period estimations. Our implementation demonstrates the feasibility of telecompression for enhancing bioluminescence imaging for the tissue-level network observation of circadian clocks. Full article
(This article belongs to the Special Issue Sensors and Sensing Technologies for Circadian Rhythms)
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