Wearable and digital devices to monitor and treat metabolic diseases

Keshet, Ayya; Reicher, Lee; Bar, Noam; Segal, Eran

doi:10.1038/s42255-023-00778-y

Cited by 10 publications

(7 citation statements)

References 90 publications

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“…Motivated by gaps in prior work [22,26] and a lack of overview in the field, this scoping review aims to systematically scope current research regarding (1) which modifiable risk factors are most often studied (vs. understudied) in wearable and smartphone-based metabolic health research, and ( 2) to what extent are measures of modifiable risk factors consistent across studies in terms of measurement methods and units.…”

Section: Stage 1: Identifying the Research Questionmentioning

confidence: 99%

Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol

Brügger,

Kowatsch,

Jovanova

2024

Preprint

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Background: Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality and disability. Wearable devices and smartphones increasingly track physiological and lifestyle risk factors and can improve the management of metabolic diseases. However, the absence of clear guidelines for deriving meaningful signals from these devices often hampers cross-study comparisons. Objective: Thus, this scoping review protocol aims to systematically overview the current empirical literature on how wearables and smartphones are used to measure modifiable risk factors associated with metabolic diseases. Methods: We will conduct a scoping review to overview how wearables and smartphones measure modifiable risk factors related to metabolic diseases. We will search six databases (Scopus, Web of Science, ScienceDirect, PubMed, ACM Digital Library, and IEEE Xplore) from 2019 to 2024, with search terms related to wearables, smartphones, and modifiable risk factors associated with metabolic diseases. We will apply the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) and Arksey and O'Malley's scoping review methodology. Eligible studies will use smartphones and/or wearables (worn on the wrist, finger, arm, hip, and chest) to track physiological and/or lifestyle factors related to metabolic diseases. Two reviewers will independently screen articles for inclusion. Data will be extracted using a standardized form, and the findings will be synthesized and reported qualitatively and quantitatively. Results: The study is expected to identify potential gaps in measuring modifiable risk factors in current digital metabolic health research. Results are expected to inform more standardized guidelines on wearable and smartphone-based measurements to aid cross-study comparison. The final report is planned for submission to an indexed journal. Conclusions: This review is among the first to systematically overview the current landscape on how wearables and smartphones are used to measure modifiable risk factors associated with metabolic diseases.

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Section: Stage 1: Identifying the Research Questionmentioning

confidence: 99%

Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol

Brügger,

Kowatsch,

Jovanova

2024

Preprint

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“…Wearable electronic devices with realtime monitoring of physiological signals have seen a steady increase in various applications, such as personal health testing, [1][2][3] motion monitoring, [4,5] disease detection, [6,7] and assisted diagnosis. [8,9] These applications require highly flexible materials with superior optoelectronic performance.…”

Section: Introductionmentioning

confidence: 99%

Interface‐Confined Assembly of Layered Molecular Crystal Arrays Toward Wearable UV‐Radiation Monitor

Qiu,

Gao,

Cao

et al. 2024

Adv Funct Materials

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Organic semiconductors have significant potential for wearable optoelectronics due to their designable molecular structures, tunable photoelectronic properties, and flexibility. For their integration into optoelectronic devices, organic semiconductors need to be assembled into single‐crystalline arrays with both precise alignment of micro‐/nanostructures and long‐range order of molecules. In this study, an interface‐confined lithography technique is developed for fabricating organic single‐crystalline microwire arrays with layered molecular stacking and ordered crystallographic orientation toward wearable UV radiation monitor. This interface‐confined strategy introduces parallel gas–liquid–solid three‐phase contact line (TPCL) arrays to suppress the lateral growth of single crystals. Meanwhile, TPCLs with controlled dewetting direction promote longitudinal growth, thus universally yielding 1D arrays based on various organic semiconducting small molecules. These 1D single‐crystalline arrays exhibit high average mobility of 12.5 cm2 V−1 s−1 with uniform electronic properties of 9.3% variation, and good mechanical stability after 1000 bending times. Based on organic 1D arrays, wearable devices with robust photoresponsivity of 8.26 × 103 A W−1 and high mechanical flexibility achieve real‐time monitoring of UV radiation to prevent skin disease. This confined‐assembly strategy opens a new avenue to construct wearable optoelectronic devices for health monitoring.

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“…Smart wearable devices can monitor human physiological parameters (biological indicators) in real−time and manage health better [1,2]. A sensor serves as the forefront of smart wearable devices, directly collecting the user's biological information and then sending it to the data processing section for processing [3].…”

Section: Introductionmentioning

confidence: 99%

Development of Visible Multi−Bandpass Filter Based on F−P Structure

Jiang,

Fan,

et al. 2023

Coatings

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In order to reduce the noise interference of smart wearable devices, spectral filtering technology is used to suppress noise. This technology prevents interference signals from entering the detector from the source, thereby achieving high−precision noise reduction processing. According to the system requirements, a multi−bandpass filter with a wavelength range of 400~1000 nm was designed and prepared on a BK7 substrate. Ta2O5 and SiO2 were selected as the high− and low−refractive−index materials, respectively. By analyzing the −Fabry–Perot narrowband theory, the bandwidth matching coefficient was computed, and the interference order was calculated using the interval of the transmission peak wavelengths. Multiple F−P coating systems were connected through the matching layer to adjust the position of the transmission peak and broaden the bandwidth range. The design was optimized using Macloed film system design software, resulting in the design of a wide half−wave and cutoff multi−bandpass filter. The appropriate preparation process was chosen based on changes in refractive index, surface roughness, and the temperature gradient of the materials. The filter was then produced using Leybold SYRUSpro1110. Sensitivity, filter roughness, and the weak absorption of the film system were tested, and the results met the system requirements.

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Wearable and digital devices to monitor and treat metabolic diseases

Cited by 10 publications

References 90 publications

Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol

Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol

Interface‐Confined Assembly of Layered Molecular Crystal Arrays Toward Wearable UV‐Radiation Monitor

Development of Visible Multi−Bandpass Filter Based on F−P Structure

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