Asthenopia symptoms were investigated in visually-normal subjects without computer-related vision symptoms after prolonged reading from: smartphone versus hardcopy under photopic conditions, and smartphone in conditions of ambient versus dark room illumination. After reading from the smartphone, total symptom scores and nine out of ten questionnaire symptoms were significantly worse than for the hardcopy ("blurred vision while viewing the text, "blurred distance vision after the task", "difficulty in refocusing from one distance to another", "irritated or burning eyes", "dry eyes", "eyestrain", "tired eyes", "sensitivity to bright lights" and "eye discomfort"). Mean total symptom scores and scores for "irritated or burning eyes" and "dry eyes" were significantly higher for the dark versus photopic conditions. In conclusion, prolonged smartphone reading could cause worse asthenopic symptoms than reading from a hardcopy under similar conditions. Symptoms could be even worse when reading from a smartphone in the dark.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.apergo.2017.10.014 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Transforming Households with Refraction and Innovative Financial Technology (THRIFT): study protocol for a randomised controlled trial of vision interventions and online banking among the elderly in Kurigram.
BMJ Open
December 2024
School of Medicine, Dentistry and Biomedical Sciences, Centre for Public Health, Queen's University Belfast MDBS, Belfast, UK
Introduction: Presbyopia, difficulty in seeing close-ups, affects a billion people globally. Mobile financial services (MFS) have been mandated since January 2021 for Bangladesh government social safety net payments, including old age allowance (OAA) and widow allowance (WA). We report the protocol for the Transforming Households with Refraction and Innovative Financial Technology randomised trial assessing the impact on the use of online banking of providing presbyopic safety net beneficiaries with reading glasses, and brief smartphone and mobile banking app training.
View Article and Find Full Text PDFCopper-based fluorescent nanozyme used to construct a ratiometric sensor for visual detection of thiophanate methyl.
Talanta
December 2024
Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu City, 273165, Shandong, China. Electronic address:
Although nanozyme has shown great potential in designing fluorescent assays for pesticide residue, most of them are based on single emission, thus affecting the detection accuracy. Herein, a copper-based fluorescent nanozyme (Cu-BH) synthesized with dual-ligand, integrating fluorescence and oxidase-mimic into one spherical nanomaterial, was used firstly to establish a ratiometric approach for visual detection of thiophanate methyl (TM). Cu-BH possesses excellent oxidase-like activities, triggering the oxidation of colorless o-phenylenediamine (OPD) into yellow luminescent products (oxOPD, λem = 564 nm).
View Article and Find Full Text PDFClinical Applications, Legal Considerations and Implementation Challenges of Smartphone-Based Thermography: A Scoping Review.
J Clin Med
November 2024
Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy.
Medical thermography is a non-invasive technique that allows the measurement of the temperature of the human body surface, exploiting the heat emitted by the body through the skin in the form of infrared electromagnetic radiation. Recently, smartphone-based thermography (ST) has drawn considerable attention. This scoping review (SR) aims to describe its current applications and reliability based on currently available research findings, also taking into account the medico-legal implications linked to its use.
View Article and Find Full Text PDFArtificial Intelligence in Diagnostics: Enhancing Urine Test Accuracy Using a Mobile Phone-Based Reading System.
Ann Lab Med
December 2024
Department of Laboratory Medicine, Chungnam National University School of Medicine, Daejeon, Korea.
Background: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the effectiveness and accuracy of an AI-based program in automatically interpreting urine test strips using mobile phone cameras, an approach that may revolutionize point-of-care testing.
View Article and Find Full Text PDFComparison of 6-lead smartphone ECG and 12-lead ECG in athletes and a genetic heart disease population.
Expert Rev Med Devices
December 2024
Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Background: Smartphone electrocardiograms (iECGs) are an innovative method of capturing transient arrhythmias that are occasionally experienced by athletes. This study aimed to assess the accuracy of a 6-lead iECG compared with 12-lead ECG in athletes and those with known genetic heart disease (positive controls).
Research Design And Methods: Each participant had a resting 12-lead ECG (supine) and a 30 s 6-lead iECG (seated) taken within 2 h.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!