scholarly journals The Open Perimetry Initiative: a framework for cross-platform development for the new generation of portable perimeters

2021 ◽  
Author(s):  
Iván Marín-Franch ◽  
Andrew Turpin ◽  
Paul H Artes ◽  
Luke X Chong ◽  
Allison M McKendrick ◽  
...  
Keyword(s):  
Visual Field ◽  
Vision Research ◽  
Open Science ◽  
Public Institutions ◽  
Portable Devices ◽  
Automated Perimetry ◽  
Cross Platform ◽  
Platform Development ◽  
New Generation ◽  
Analytical Tools

The Open Perimetry Initiative is fully open source and consists of the Open Perimetry Interface (OPI) and an accompanying package (visualFields) with analytical tools. The OPI package contains an ever-growing number of drivers for commercially available perimeters, head-mounted devices, and virtual reality headsets. The visualFields package contains tools for the analysis and visualization of visual field data, including methods to compute deviation values and probability maps. The use of the OPI and visualFields is shown through a custom static automated perimetry test for the full visual field (up to 50° nasally and 80° temporally) developed with the OPI driver for the Octopus 900 and using visualFields for statistical analysis. Its potential for the development of cross-platform apps for driving and testing portable devices is demonstrated with an OPI driver for an Android-based headset. With more than 55 citations in clinical and translational science as listed in Scopus, this initiative has contributed significantly to expanding the knowledge base in perimetry and clinical vision research at large, and with clinical translation. The continued support of researchers, clinicians, industry, and public institutions are key in transforming perimetry research from closed to open science. The Open Perimetry Initiative provides framework to achieve this.

A model-driven approach to cross-platform development of accessible business apps

2020 ◽  
Author(s):  
Christoph Rieger ◽  
Daniel Lucrédio ◽  
Renata Pontin M. Fortes ◽  
Herbert Kuchen ◽  
Felipe Dias ◽  
...  
Keyword(s):  
Model Driven ◽  
Cross Platform ◽  
Platform Development ◽  
Model Driven Approach

scholarly journals Cerebral trauma-induced dyschromatopsia in the left hemifield: case presentation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yoko Mase ◽  
Yoshitsugu Matsui ◽  
Eriko Uchiyama ◽  
Hisashi Matsubara ◽  
Masahiko Sugimoto ◽  
...  
Keyword(s):  
Visual Field ◽  
Color Vision ◽  
Temporal Lobe ◽  
Fusiform Gyrus ◽  
Ganglion Cell Complex ◽  
Automated Perimetry ◽  
Subjective Symptoms ◽  
Anterior Temporal Lobe ◽  
Case Presentation ◽  
Cerebral Trauma

Abstract Background Acquired color anomalies caused by cerebral trauma are classified as either achromatopsias or dyschromatopsias (Zeki, Brain 113:1721–1777, 1990). The three main brain regions stimulated by color are V1, the lingual gyrus, which was designated as human V4 (hV4), and the fusiform gyrus, designated as V4α. (Zeki, Brain 113:1721–1777, 1990). An acquired cerebral color anomaly is often accompanied by visual field loss (hemi- and quadrantanopia), facial agnosia, prosopagnosia, visual agnosia, and anosognosia depending on the underlying pathology (Bartels and Zeki, Eur J Neurosci 12:172–193, 2000), (Meadows, Brain 97:615–632, 1974), (Pearman et al., Ann Neurol 5:253–261, 1979). The purpose of this study was to determine the characteristics of a patient who developed dyschromatopsia following a traumatic injury to her brain. Case presentation The patient was a 24-year-old woman who had a contusion to her right anterior temporal lobe. After the injury, she noticed color distortion and that blue objects appeared green in the left half of the visual field. Although conventional color vision tests did not detect any color vision abnormalities, short wavelength automated perimetry (SWAP) showed a decrease in sensitivity consistent with a left hemi-dyschromatopsia. Magnetic resonance imaging (MRI) detected abnormalities in the right fusiform gyrus, a part of the anterior temporal lobe. At follow-up 14 months later, subjective symptoms had disappeared, but the SWAP abnormalities persisted and a thinning of the sectorial ganglion cell complex (GCC) was detected. Conclusion The results indicate that although the subjective symptoms resolved early, a reduced sensitivity of SWAP remained and the optical coherence tomography (OCT) showed GCC thinning. We conclude that local abnormalities in the anterior section of fusiform gyrus can cause mild cerebral dyschromatopsia without other symptoms. These findings indicate that it is important to listen to the symptoms of the patient and perform appropriate tests including the SWAP and OCT at the early stage to objectively prove the presence of acquired cerebral color anomaly.

scholarly journals Association between visual field damage and corneal structural parameters

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandru Lavric ◽  
Valentin Popa ◽  
Hidenori Takahashi ◽  
Rossen M. Hazarbassanov ◽  
Siamak Yousefi
Keyword(s):  
Machine Learning ◽  
Visual Field ◽  
Structural Parameters ◽  
Corneal Thickness ◽  
Anterior Segment ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Visual Field Damage ◽  
Corneal Shape

AbstractThe main goal of this study is to identify the association between corneal shape, elevation, and thickness parameters and visual field damage using machine learning. A total of 676 eyes from 568 patients from the Jichi Medical University in Japan were included in this study. Corneal topography, pachymetry, and elevation images were obtained using anterior segment optical coherence tomography (OCT) and visual field tests were collected using standard automated perimetry with 24-2 Swedish Interactive Threshold Algorithm. The association between corneal structural parameters and visual field damage was investigated using machine learning and evaluated through tenfold cross-validation of the area under the receiver operating characteristic curves (AUC). The average mean deviation was − 8.0 dB and the average central corneal thickness (CCT) was 513.1 µm. Using ensemble machine learning bagged trees classifiers, we detected visual field abnormality from corneal parameters with an AUC of 0.83. Using a tree-based machine learning classifier, we detected four visual field severity levels from corneal parameters with an AUC of 0.74. Although CCT and corneal hysteresis have long been accepted as predictors of glaucoma development and future visual field loss, corneal shape and elevation parameters may also predict glaucoma-induced visual functional loss.

scholarly journals XShields: Cross-platform Application for the Design of Shields against Ionizing Radiation

2019 ◽  
Vol 60 (1) ◽  
pp. 75-84
Author(s):  
Wojciech Chlewicki ◽  
Katarzyna Cichoń ◽  
Magda Zolubak ◽  
Stepan Ozana ◽  
Aleksandra Kawala-Sterniuk
Keyword(s):  
Ionizing Radiation ◽  
Medical Diagnosis ◽  
Medical Staff ◽  
Critical Parameters ◽  
Proper Design ◽  
Cross Platform ◽  
Platform Development

Abstract In many cases medical diagnosis is based on information obtained through a process involving the emission of different forms of ionizing radiation. The safety of the medical staff and patients exposed to ionizing radiation is highly dependent on the proper design of the shielding used in the laboratory. Therefore, the authors propose a multi-platform application supporting such a design through the computation of the critical parameters of shielding. The specific requirements for shielding are defined by government authorities so the algorithm must comply with all the written standards. The application was implemented using Xamarin. Forms for cross-platform development. The results obtained with the use of the developed tool were compared with those calculated manually for the design of stationary shields developed, deployed, and validated by local inspection.

How Cross-Platform Technology Can Facilitate Easier Creation of Business Apps

2017 ◽  
pp. 104-140
Author(s):  
Tim A. Majchrzak ◽  
Jan C. Dageförde ◽  
Jan Ernsting ◽  
Christoph Rieger ◽  
Tobias Reischmann
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
Web Technology ◽  
App Development ◽  
Long Run ◽  
Platform Technology ◽  
Cross Platform ◽  
Platform Development ◽  
User Friendly ◽  
Business Orientation

Applications for mobile devices – apps – have seen unprecedented growth in importance. Ever better apps keep propelling the proliferation of mobile computing. App development is rather easy, particularly if it is based on Web technology. However, implementing apps that are user friendly and useful in the long-run is cumbersome. Thereby, it typically is expensive for corporate developers. Nonetheless, business apps are embraced by enterprises. To overcome the overhead of developing separately for multiple platforms and to mitigate the problems of device fragmentation, cross-platform development approaches are employed. While many such approaches exist, few have found widespread usage. In this chapter, we argue what the path towards future solutions could look like. We thereby take a rather technological look, but always keep business-orientation in mind. Our findings suggest that much effort is needed to enable the next generations of business apps. However, such apps will provide many merits and possibilities. Moreover, they provide the chance to master several of today's challenges.

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