Purpose: We developed a clip-on light tracker (MyLyt) for estimating light exposure in real time. This study aimed at validating and investigating the feasibility of using MyLyt in children and adults.
Method: The study was conducted in two phases. Phase 1 involved validation against a factory-calibrated digital lux meter in three separate conditions: controlled environmental set-up, outdoors and indoors where intra-test (two measurements by the same tracker), inter-test (measurements among trackers) and inter-device (MyLyt tracker and lux meter) validations were conducted. Phase 2 involved a feasibility study where MyLyt was used in a real-world setting by 21 adults and 8 children. Participants were asked to log their real-time movements in an 'activity diary', which were correlated with the lux levels measured by the tracker.
Results: A strong positive correlation and non-significant difference in the recorded mean illuminance levels were observed during intra-test (inter-class correlation: 1.00, p = 0.99), inter-test (0.91-1.00, p > 0.15) and inter-device (0.91-1.00, p > 0.56) validation in all three testing conditions (p > 0.49), except the indoor location. While the lux level measured by MyLyt was significantly higher than that of the lux meter (p < 0.01) in the indoor locations, differences were minimal and clinically insignificant. A Bland-Altman plot showed a minimal mean difference (95% limits of agreement) between the MyLyt tracker and lux meter in all three conditions (controlled environmental set-up: 641 [-949, 2230], outdoor: 74 [-2772, 2920] and indoor: -35 [-151, 80] lux). Phase 2 validation showed an expected illuminance level against the corresponding location with high sensitivity (97.8%) and specificity (99%) to accurately differentiate between outdoor and indoor locations.
Conclusion: The MyLyt tracker showed good repeatability, strong correlation and comparable values with the lux meter in the three tested conditions, making it suitable for tracking light exposure patterns for both research and clinical purposes.
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http://dx.doi.org/10.1111/opo.13061 | DOI Listing |
Heliyon
December 2024
Department of Industrial Safety, Faculty of Mining, St. Petersburg Mining University, St. Petersburg, Russia.
Incorporating an illumination optimization plan into the worker safety management process in industrials is essential since the quality of workplace illumination has a significant impact on workers' well-being. The purpose of this study was to optimize illumination conditions in industrial workspaces using light-emitting diode (LED) technology with a color temperature of 6500 K and a CRI of 85 %. To accomplish this, the DIALux illumination simulation tool was utilized.
View Article and Find Full Text PDFSci Rep
December 2024
Faculty of Environmental Engineering and Energy, Cracow University of Technology, Kraków, Poland.
In urban areas, one of the main forms of light pollution is the intrusion of light through windows into residential buildings. This phenomenon can harm human health, so standards have been introduced to define limits for vertical illuminance. This study aims to assess the levels of outdoor lighting on the windows of residential buildings in Poland in terms of compliance with standards for protection against intrusive light, as well as to compare the results obtained using various commercially available photometers.
View Article and Find Full Text PDFJ Bodyw Mov Ther
October 2024
Mechanical Engineering Department, National Institute of Technology, Srinagar, 19006, India.
Background: Handmade carpet weaving involves intense mental focus as well as extended periods of sitting in an awkward posture. Prolonged sitting in the same squat position causes musculoskeletal disorders in various motor parts of the body. Weavers are at high risk of developing Work-related Musculoskeletal disorders (WMSDs) such as carpal tunnel syndrome (CTS) and low back pain (LB) due to the long working durations.
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Prosthodontic Department, Faculty of Dentistry, Tanta University, Tanta, Egypt.
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In recent years, the visible light positioning field has experienced remarkable advancements. However, smartphones find it difficult to identify light-emitting diode (LED) and extract each LED's light signal intensity due to the low-frequency and uneven sampling of built-in ambient light sensors (ALS, which is a photodiode that measures ambient light in lux units). Thus, traditional visible light positioning systems cannot be directly applied to smartphones.
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