Background: To define age-related changes in the visual field by comparing 'standard' central and unique peripheral visual field measurements in healthy volunteers.
Methods: In a single center, retrospective, Cross-sectional, observational study, 20 volunteers with no retinal diseases or risk factors, ranging in age between 30 and 94 years (four age groups: 30's, 50's, 70's, 90's) were measured in one eye (preferentially the right one) using a Humphrey visual field 24-2 and 60-4.
Results: While the central visual field remained relatively well preserved during aging showing only a mild reduction in sensitivity, a profound loss of the peripheral visual field was observed beginning in the fifth decade of life and decreasing continuously up to the 90ies.
Conclusions: The peripheral visual field declined substantially from the 4th decade onward while the central visual field remained quite stable.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514484 | PMC |
| http://dx.doi.org/10.1186/s12886-017-0522-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Scene Knowledge Integrating Network for Transmission Line Multi-Fitting Detection.
Sensors (Basel)
December 2024
Automation Department, North China Electric Power University, Baoding 071003, China.
Aiming at the severe occlusion problem and the tiny-scale object problem in the multi-fitting detection task, the Scene Knowledge Integrating Network (SKIN), including the scene filter module (SFM) and scene structure information module (SSIM) is proposed. Firstly, the particularity of the scene in the multi-fitting detection task is analyzed. Hence, the aggregation of the fittings is defined as the scene according to the professional knowledge of the power field and the habit of the operators in identifying the fittings.
View Article and Find Full Text PDFEnhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation.
Sensors (Basel)
December 2024
Division of Computer Science & Artificial Intelligence, Dongguk University, Seoul 04620, Republic of Korea.
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high computational and memory costs. In particular, it is often composed of real-time collected data that tends to be noisy, making preprocessing an essential step.
View Article and Find Full Text PDFResearch on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin.
Sensors (Basel)
December 2024
School of Mechanical Engineering and Automation, Foshan University, Foshan 528225, China.
Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.
View Article and Find Full Text PDFAdvancements in Smart Wearable Mobility Aids for Visual Impairments: A Bibliometric Narrative Review.
Sensors (Basel)
December 2024
Department of Industrial Design, Guangdong University of Technology, Guangzhou 510006, China.
Research into new solutions for wearable assistive devices for the visually impaired is an important area of assistive technology (AT). This plays a crucial role in improving the functionality and independence of the visually impaired, helping them to participate fully in their daily lives and in various community activities. This study presents a bibliometric analysis of the literature published over the last decade on wearable assistive devices for the visually impaired, retrieved from the Web of Science Core Collection (WoSCC) using CiteSpace, to provide an overview of the current state of research, trends, and hotspots in the field.
View Article and Find Full Text PDFDesign and Evaluation of Augmented Reality-Enhanced Robotic System for Epidural Interventions.
Sensors (Basel)
December 2024
Surgical Performance Enhancement and Robotics (SuPER) Centre, Department of Surgery, McGill University, Montreal, QC H3A 0G4, Canada.
The epidural injection is a medical intervention to inject therapeutics directly into the vicinity of the spinal cord for pain management. Because of its proximity to the spinal cord, imprecise insertion of the needle may result in irreversible damage to the nerves or spinal cord. This study explores enhancing procedural accuracy by integrating a telerobotic system and augmented reality (AR) assistance.
View Article and Find Full Text PDFWant 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!