Illuminating the future of wearable light metrology: Overview of the MeLiDos Project

Measurement, Journal Year: 2024, Volume and Issue: 235, P. 114909 - 114909

Published: May 14, 2024

Exposure to light profoundly influences human health, regulating circadian rhythms and impacting wakefulness sleepiness. Estimating the effects of under everyday conditions requires personal, wearable logging dosimetry approaches. This article introduces MeLiDos Project (2023–), supported by European Association National Metrology Institutes (EURAMET). Its first branch defines quality indices calibration standards for loggers, adapting their smaller size distinct purpose in field rather than laboratory. The second develops a software ecosystem, including R-based LightLogR, manage increasing volume data, ensuring accessibility interoperability. third explores potential spatially resolved dosimetry, examining feasibility capturing exposure from various angles spectral bands. project anticipates advancements metrology, paving way optimizing health well-being through technologies. Background: importance health.

Language: Английский

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Biometry-based verification system with symmetric key generation method for internet of things environments

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 14, 2025

Language: Английский

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Human-Centric Lighting Research and Policy in the Melanopsin Age

Policy Insights from the Behavioral and Brain Sciences, Journal Year: 2023, Volume and Issue: 10(2), P. 237 - 246

Published: Oct. 1, 2023

Beyond visual function, specialized light-sensitive retinal circuits involving the photopigment melanopsin drive critical aspects of human physiology and behavior, including sleep–wake rhythms, hormone production, mood, cognition. Fundamental discoveries neurobiology dating back to 1990s have given rise strong interest from lighting industry in optimizing benefit health. Consequently, evidence-based recommendations, regulations, policies need translate current knowledge into practice. Here, reviewing recent advances understanding NIF humans leads proposed strategies optimize electric lighting. Highlighted gaps must be addressed urgently, as well challenge developing personalized, adaptive interventions accounting for complex individual differences physiology, environment. Finally, equity issues appear context marginalized groups, who traditionally been underserved research on both fundamental processes applied Biologically optimal light is a environmental right.

Language: Английский

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An Invisible Dermal Nanotattoo-Based Smart Wearable Sensor for eDiagnostics of Jaundice

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Despite substantial progress in the diagnosis of jaundice/hyperbilirubinemia as most common disease and cause hospitalization newborns, on eve Industry/Healthcare 5.0, development accurate reliable wearable diagnostic sensors for noninvasive smart monitoring bilirubin (BIL) is still high demand. Aiming to fabricate a sensor early neonatal jaundice its therapeutic monitoring, we here report fluorescent dermal nanotattoo that further coupled with an IoT-integrated optoelectronic reader minimally invasive, continuous, real-time BIL interstitial fluid. Selective recovery quenched fluorescence tattoo sensor, composed biocompatible dissolving/hydrogel microneedles loaded carbon quantum dots, upon blue light exposure used phototherapy was utilized highly selective sensing. The fascinating features our developed successful results correlation blood make it promising easy, reliable, eDiagnostics continuous eMonitoring other BIL-induced diseases at point care. We envision sensing bioplatform will inspire future various scenarios.

Language: Английский

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Beyond Lux: Methods for Species and Photoreceptor-Specific Quantification of Ambient Light for Mammals

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 27, 2023

Abstract Background Light is a key environmental regulator of physiology and behaviour. Mistimed or insufficient light disrupts circadian rhythms associated with impaired health well-being across mammals. Appropriate lighting therefore crucial for indoor housed The most commonly used measurement lux. However, this employs spectral weighting function based on human perceived brightness not suitable ‘non-visual’ effects use species. In humans, photoreceptor-specific (α-opic) metrology system has been proposed as more appropriate way measuring light. Results Here we establish technology to allow α-opic approach be readily extended any mammalian species, accounting differences in photoreceptor types, photopigment sensitivities, eye anatomy. Since sensitivity can hard derive novel animals photoreceptors, developed high-throughput, easy-to-use, method sensitivities recombinantly expressed melanopsins it the melanopsin from 12 non-human We further address need simple strategies species-specific measures by developing an accessible online toolbox calculating these units validating open hardware, low-cost, multichannel sensor ‘point click’ measurement. finally demonstrate that measurements are superior photopic lux predictors physiological responses mice ecologically relevant comparisons photosensitivity between Conclusion Our study demonstrates accurately using existing unit holds promise improvements welfare animals, scientific research reproducibility, agricultural productivity, energy usage.

Language: Английский

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Beyond Lux: methods for species and photoreceptor-specific quantification of ambient light for mammals

BMC Biology, Journal Year: 2024, Volume and Issue: 22(1)

Published: Nov. 14, 2024

Abstract Background Light is a key environmental regulator of physiology and behaviour. Mistimed or insufficient light disrupts circadian rhythms associated with impaired health well-being across mammals. Appropriate lighting therefore crucial for indoor housed commonly measured in lux. However, this employs spectral weighting function human luminance not suitable ‘non-visual’ effects use species. In humans, photoreceptor-specific (α-opic) metrology system has been proposed as more appropriate way measuring light. Results Here we establish technology to allow α-opic measurement approach be readily extended mammalian species, accounting differences photoreceptor types, photopigment sensitivities, eye anatomy. We develop high-throughput method derive sensitivities recombinantly expressed opsins it the sensitivity melanopsin from 13 non-human further address need simple strategies species-specific measures by developing an accessible online toolbox calculating these units validating open hardware multichannel sensor ‘point click’ measurement. finally demonstrate that measurements are superior photopic lux predictors physiological responses mice ecologically relevant comparisons photosensitivity between Conclusions Our study presents methods existing unit holds promise improvements welfare animals, scientific research reproducibility, agricultural productivity, energy usage.

Language: Английский

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Accurate Light Spectrum Reconstruction from Low-Resolution Spectral Sensors Using Neural Networks

Published: Jan. 1, 2024

In circadian-based research, wearable light sensors are often deployed to measure daily exposure patterns of users under ecological settings. the past, miniature in such studies measured photopic lux only, which is now inadequate with discovery intrinsically photosensitive ganglion cells (ipRGCs) and melanopsin. While quantifies according average photosensitivity cones human retina, melanopsin has a significantly different photosensitivity. This motivates need develop new technology algorithms that can capture full spectral power density (SPD) light, allowing measurement α-opic illuminances evaluation effects on circadian system. this paper, we propose machine learning-based neural reconstruction algorithm reconstructs SPD source visible 380 nm – 780 range from 18 readings obtained sensor. utilizes 2 multilayer perceptron (MLP) networks: one predict normalized spectrum source, another classify source. A simple linear factor selected source's classification, predicted scaled using factor. We present algorithm's accuracies illuminance values, valuable for evaluating whether device or suitable circadian-related research. demonstrate achieve minimal inter-device variability reconstructions measurements, eliminating necessity device-specific calibrations.

Language: Английский

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Hot Watch: IOT based Wearable Health Monitoring System

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(20), P. 33252 - 33259

Published: July 30, 2024

Internet of Things (IoT) and wearables involve small embedded devices with sensors collecting data from their surroundings. Nowadays, People have added complexity as well busyness to lives they don't give health much thought due hectic routines. Current monitoring systems are often cumbersome inconvenient for patients, leading poor adherence delayed detection issues. To address this problem, Heart Rate Oxygen Temperature Watch (HOT Watch) an IoT-based wearable device has been proposed track the user's condition notify person details. The HOT employs like MLX90614 temperature sensor, AD8232 ECG (Electrocardiogram) Sensor, MAX30100 oximeter sensor gather metrics users. Arduino technology Bluetooth connectivity transmit a mobile application Pan-Tompkins algorithm precisely determines heart rate. method displays essential information alerts users about status, including location obtained GPS in watch. By continuously tracking vital signs such temperature, oxygen saturation, rate, individuals can gain valuable insights into overall status. This real-time allows monitor well-being proactively make informed decisions lifestyle activities. accuracy watch is 1.40%, 0.70%, 2.47% higher than existing Sensor Patch, WS-IoT, Neo Wear respectively.

Language: Английский

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