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Keywords = phoropter

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13 pages, 1269 KiB  
Article
Innovative Binocular Vision Testing for Phoria and Vergence Ranges Using Automatic Dual Rotational Risley Prisms
by Hui-Rong Su, Yu-Jung Chen, Yun-Shao Hu, Chi-Hung Lee, Shang-Min Yeh and Shuan-Yu Huang
Sensors 2025, 25(5), 1604; https://doi.org/10.3390/s25051604 - 5 Mar 2025
Abstract
This study evaluated binocular visual function using automatic dual rotational Risley prisms (ADRRPs) to measure phoria and vergence ranges. Thirty-nine (mean age: 21.82 ± 1.10 years; age range: 20–24 years) healthy adults with normal binocular vision participated. Each underwent baseline refraction exams followed [...] Read more.
This study evaluated binocular visual function using automatic dual rotational Risley prisms (ADRRPs) to measure phoria and vergence ranges. Thirty-nine (mean age: 21.82 ± 1.10 years; age range: 20–24 years) healthy adults with normal binocular vision participated. Each underwent baseline refraction exams followed by phoria and vergence tests conducted using both a phoropter with Maddox rods and the ADRRPs. The results revealed a strong positive correlation between the two instruments for distance phoria (r = 0.959, p < 0.001) and near-phoria measurements (r = 0.968, p < 0.001). For vergence testing, positive fusional vergence (PFV) at distance showed a moderate-to-strong correlation for break points (r = 0.758, p < 0.001) and a moderate correlation for recovery points (r = 0.452, p < 0.001). Negative fusional vergence (NFV) at distance demonstrated a strong correlation for break points (r = 0.863, p < 0.001) and a moderate correlation for recovery points (r = 0.458, p < 0.01). Near-vergence testing showed moderate-to-strong correlations for break points (r = 0.777, p < 0.001) and recovery points (r = 0.623, p < 0.001). The inclusion of Bland–Altman analysis provides a more comprehensive evaluation of agreement between ADRRPs and the phoropter. While strong correlations were observed, systematic bias and LoA indicate that these methods are not perfectly interchangeable. The ADRRPs demonstrated potential for binocular vision assessment but require further validation for clinical application. Full article
(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems: 2nd Edition)
11 pages, 1093 KiB  
Article
The Refraction Assessment and the Electronic Trial Frame Measurement during Standing or Sitting Position Can Affect Postural Stability
by Massimo Rossato, Alessandra Nart, Giuseppe Messina, Francesco Favro, Valentina Rossato, Enxhi Rrutja and Vincenzo Biancalana
Int. J. Environ. Res. Public Health 2022, 19(3), 1558; https://doi.org/10.3390/ijerph19031558 - 29 Jan 2022
Cited by 2 | Viewed by 2917
Abstract
Vision has been shown to influence body posture. The purpose of this study is to investigate the correlations between visual acuity and body postural control both in a standing and seated position. This cohort study included 37 patients examined using Adaptica’s (Italy) Kaleidos [...] Read more.
Vision has been shown to influence body posture. The purpose of this study is to investigate the correlations between visual acuity and body postural control both in a standing and seated position. This cohort study included 37 patients examined using Adaptica’s (Italy) Kaleidos and VisionFit. Objective refraction was measured with Kaleidos both in a standing and seated position by the same operator and in the same environmental conditions. The parameters obtained with the device were binocular refraction, monocular refraction, pupil distance, pupil size, head tilt, gaze, phorias, and tropias. The results obtained were then subjectively tested using VisionFit: an electronic trial frame with phoropter functionalities. The study’s outcome revealed that the differences in the visual acuity parameters obtained in standing and seated positions were statistically significant; the Student’s t-test showed a p-value < 0.001 in all parameter averages. Automated refraction is widely being performed and postural control can affect the visual acuity parameters; therefore, it is relevant to consider the possibility of measuring in orthostatism. It might be appropriate to take into account the possibility of measuring in orthostatism and wearing trial frames in orthostatic conditions as well as walking freely around the room, looking outside of a window, sitting, and reading. Full article
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Figure 1
<p>The different measurement conditions using Kaleidos in standing and seated position. The last 2 photos show measurement using VisionFit SC, an electronic wearable adaptive refractor.</p>
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<p>Dispersions statistics in the standing Position (blue) and the sitting position (orange). Sph OD = right eye sphere; Cyl OD = right eye cylinder; Sph OS = left eye sphere; Cyl OS = left eye cylinder.</p>
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<p>Patients’ subjective preference of the trial lenses.</p>
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8 pages, 1269 KiB  
Article
Evaluation of the Performance of Algorithm-Based Methods for Subjective Refraction
by Abinaya Priya Venkataraman, Delila Sirak, Rune Brautaset and Alberto Dominguez-Vicent
J. Clin. Med. 2020, 9(10), 3144; https://doi.org/10.3390/jcm9103144 - 29 Sep 2020
Cited by 7 | Viewed by 3234
Abstract
Objective: To evaluate the performance of two subjective refraction measurement algorithms by comparing the refraction values, visual acuity, and the time taken by the algorithms with the standard subjective refraction (SSR). Methods: The SSR and two semi-automated algorithm-based subjective refraction (SR1 and SR2) [...] Read more.
Objective: To evaluate the performance of two subjective refraction measurement algorithms by comparing the refraction values, visual acuity, and the time taken by the algorithms with the standard subjective refraction (SSR). Methods: The SSR and two semi-automated algorithm-based subjective refraction (SR1 and SR2) in-built in the Vision-R 800 phoropter were performed in 68 subjects. In SR1 and SR2, the subject’s responses were recorded in the algorithm which continuously modified the spherical and cylindrical component accordingly. The main difference between SR1 and SR2 is the use of an initial fogging step in SR1. Results: The average difference and agreement limits intervals in the spherical equivalent between each refraction method were smaller than 0.25 D, and 2.00 D, respectively. For the cylindrical components, the average difference was almost zero and the agreement limits interval was less than 0.50 D. The visual acuities were not significantly different among the methods. The times taken for SR1 and SR2 were significantly shorter, and SR2 was on average was three times faster than SSR. Conclusions: The refraction values and the visual acuity obtained with the standard subjective refraction and algorithm-based methods were similar on average. The algorithm-based methods were significantly faster than the standard method. Full article
(This article belongs to the Section Ophthalmology)
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Figure 1
<p>Bland-Altmann comparison for spherical equivalent among different refraction procedures. The middle line represents the average difference, the dashed lines represent 95% limits of agreement. OR: Objective refraction, SSR: Standard subjective refraction, SR1 and SR2: the two algorithm-based subjective refraction procedures.</p>
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<p>Bland-Altmann comparison for cylindrical component, <span class="html-italic">J</span>0 among different refraction procedures. The middle line represents the average difference, the dashed lines represent 95% limits of agreement. OR: Objective refraction, SSR: Standard subjective refraction, SR1 and SR2: the two algorithm-based subjective refraction procedures.</p>
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<p>Bland-Altmann comparison for cylindrical component, <span class="html-italic">J</span>45 among different refraction procedures. The middle line represents the average difference, the dashed lines represent 95% limits of agreement. OR: Objective refraction, SSR: Standard subjective refraction, SR1 and SR2: the two algorithm-based subjective refraction procedures.</p>
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13 pages, 3334 KiB  
Article
A High-Efficiency Low-Power Chip-Based CMOS Liquid Crystal Driver for Tunable Electro-Optic Eyewear
by Hai Deng and Guoqiang Li
Electronics 2019, 8(1), 14; https://doi.org/10.3390/electronics8010014 - 22 Dec 2018
Cited by 1 | Viewed by 3434
Abstract
A high-efficiency low-power chip-based liquid crystal (LC) driver has been successfully designed and implemented for adaptive electro-optic eyewear including tunable vision correction devices (eyeglass, contact lens, intraocular lens, occluder, and prism), phoropter, iris, head-mounted display, and 3D imaging. The driver can generate a [...] Read more.
A high-efficiency low-power chip-based liquid crystal (LC) driver has been successfully designed and implemented for adaptive electro-optic eyewear including tunable vision correction devices (eyeglass, contact lens, intraocular lens, occluder, and prism), phoropter, iris, head-mounted display, and 3D imaging. The driver can generate a 1 kHz bipolar square wave with magnitude tunable from 0 V to 15 V to change the lens focus adaptively. The LC driver output magnitude is controlled by a reference DC voltage that is manually tunable between 0 and 3 V. A multi-mode 1×/2×/3×/4×/5× charge pump is developed for DC-DC conversion to expand the output range with a fast-sink function implemented to regulate the charge pump output. In addition, a new four-phase H-bridge driving scheme is employed to improve the DC/AC inverter efficiency. The LC driver has been successfully implemented and tested as an IC chip (8.6 mm × 8.6 mm) using AMS 0.18 μm High-Voltage CMOS technology. Full article
(This article belongs to the Section Microelectronics)
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Figure 1
<p>(<b>a</b>) System architecture of the LC driver; (<b>b</b>) Structure of the proposed multi-mode charge pump; (<b>c</b>) Switching scheme with a new low-power H-Bridge inverter.</p>
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<p>(<b>a</b>) System architecture of the LC driver; (<b>b</b>) Structure of the proposed multi-mode charge pump; (<b>c</b>) Switching scheme with a new low-power H-Bridge inverter.</p>
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<p>(<b>a</b>) The simulation results of the LC driver output (bottom curves) and the charge pump outputs (The top curve in blue in the FF corner and the top one in purple in the SS corner) at high temperature (125 °C); (<b>b</b>) The simulation results of the LC driver output (bottom curves) and the charge pump outputs (The top curve in blue in the FF corner and the top one in purple in the SS corner) at low temperature (−40 °C); (<b>c</b>) The driver output voltage generated in response to staircase control voltage (above) at low temperature (−40 °C).</p>
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<p>(<b>a</b>–<b>d</b>) LC Driver Chip Design Results; (<b>e</b>) the circuit boards for testing LC driver chip (The left: the chip testing circuit PCB viewed from top. The right: the circuit board testing the designed LC driver chip); (<b>f</b>–<b>g</b>) Chip testing results: the driving waveforms out of the H-bridge for various input reference voltages V<sub>REF</sub> (The top curves: two differential outputs of half H-bridges; the bottom curve: the full H-bridge output).</p>
Full article ">Figure 3 Cont.
<p>(<b>a</b>–<b>d</b>) LC Driver Chip Design Results; (<b>e</b>) the circuit boards for testing LC driver chip (The left: the chip testing circuit PCB viewed from top. The right: the circuit board testing the designed LC driver chip); (<b>f</b>–<b>g</b>) Chip testing results: the driving waveforms out of the H-bridge for various input reference voltages V<sub>REF</sub> (The top curves: two differential outputs of half H-bridges; the bottom curve: the full H-bridge output).</p>
Full article ">Figure 4
<p>(<b>a</b>) Setup for testing the electro-optic response of the liquid crystal cell; (<b>b</b>–<b>e</b>), Some of the 1 kHz waveforms (in oscilloscope screenshot) generated by the LC driver used for driving the LC cell in (<b>a</b>) with (<b>b</b>)V<sub>RMS</sub> = 2.5 V; (<b>c</b>) V<sub>RMS</sub> = 5 V; (<b>d</b>) V<sub>RMS</sub> = 10 V; and (<b>e</b>) V<sub>RMS</sub> = 12.5 V; (<b>f</b>) Intensity modulation as a function of the applied voltage; (<b>g</b>) Relative phase retardation generated by the liquid crystal cell as a function of the applied voltage.</p>
Full article ">Figure 4 Cont.
<p>(<b>a</b>) Setup for testing the electro-optic response of the liquid crystal cell; (<b>b</b>–<b>e</b>), Some of the 1 kHz waveforms (in oscilloscope screenshot) generated by the LC driver used for driving the LC cell in (<b>a</b>) with (<b>b</b>)V<sub>RMS</sub> = 2.5 V; (<b>c</b>) V<sub>RMS</sub> = 5 V; (<b>d</b>) V<sub>RMS</sub> = 10 V; and (<b>e</b>) V<sub>RMS</sub> = 12.5 V; (<b>f</b>) Intensity modulation as a function of the applied voltage; (<b>g</b>) Relative phase retardation generated by the liquid crystal cell as a function of the applied voltage.</p>
Full article ">
1109 KiB  
Article
Steps towards Smarter Solutions in Optometry and Ophthalmology—Inter-Device Agreement of Subjective Methods to Assess the Refractive Errors of the Eye
by Arne Ohlendorf, Alexander Leube and Siegfried Wahl
Healthcare 2016, 4(3), 41; https://doi.org/10.3390/healthcare4030041 - 13 Jul 2016
Cited by 14 | Viewed by 6362
Abstract
Purpose: To investigate the inter-device agreement and mean differences between a newly developed digital phoropter and the two standard methods (trial frame and manual phoropter). Methods: Refractive errors of two groups of participants were measured by two examiners (examiner 1 (E1): 36 subjects; [...] Read more.
Purpose: To investigate the inter-device agreement and mean differences between a newly developed digital phoropter and the two standard methods (trial frame and manual phoropter). Methods: Refractive errors of two groups of participants were measured by two examiners (examiner 1 (E1): 36 subjects; examiner 2 (E2): 38 subjects). Refractive errors were assessed using a trial frame, a manual phoropter and a digital phoropter. Inter-device agreement regarding the measurement of refractive errors was analyzed for differences in terms of the power vector components (spherical equivalent (SE) and the cylindrical power vector components J0 and J45) between the used methods. Intraclass correlation coefficients (ICC’s) were calculated to evaluate correlations between the used methods. Results: Analyzing the variances between the three methods for SE, J0 and J45 using a two-way ANOVA showed no significant differences between the methods (SE: p = 0.13, J0: p = 0.58 and J45: p = 0.96) for examiner 1 and for examiner 2 (SE: p = 0.88, J0: p = 0.95 and J45: p = 1). Mean differences and ±95% Limits of Agreement for each pair of inter-device agreement regarding the SE for both examiners were as follows: Trial frame vs. digital phoropter: +0.10 D ± 0.56 D (E1) and +0.19 D ± 0.60 D (E2), manual phoropter vs. trial frame: ?0.04 D ± 0.59 D (E1) and ?0.12 D ± 0.49 D (E2) and for manual vs. digital phoropter: +0.06 D ± 0.65 D (E1) and +0.08 D ± 0.45 D (E2). ICCs revealed high correlations between all methods for both examiner (p < 0.001). The time to assess the subjective refraction was significantly smaller with the digital phoropter (examiner 1: p < 0.001; examiner 2: p < 0.001). Conclusion: “All used subjective methods show a good agreement between each other terms of ICC (>0.9). Assessing refractive errors using different subjective methods, results in similar mean differences and 95% limits of agreement, when compared to those reported in studies comparing subjective refraction non-cylcoplegic retinoscopy or autorefraction”. Full article
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Figure 1
<p>(<b>a</b>–<b>f</b>) Difference versus mean plot to compare the three subjective methods to determine the spherical equivalent refractive error (SE) of the left eye measured by examiner 1 (<span class="html-italic">n</span> = 36, <a href="#healthcare-04-00041-f001" class="html-fig">Figure 1</a>a–c) and 2 (<span class="html-italic">n</span> = 38, <a href="#healthcare-04-00041-f001" class="html-fig">Figure 1</a>d–f). (<b>a</b>) and (<b>d</b>) trial frame vs. digital phoropter; (<b>b</b>) and (<b>e</b>) manual phoropter vs. digital phoropter and (<b>c</b>) and (<b>f</b>) manual phoropter vs. trial frame. Solid line indicates the mean difference, while dashed lines represent the upper and lower limit (±95% limit of agreement). MD = mean difference and s = standard deviation. Shaded areas present 95% confidence interval limits for the mean difference and 95% limits of agreement.</p>
Full article ">Figure 2
<p>Individual and average data (±1 standard deviation) for the time of the assessment of the subjective refraction for each method, separated for examiner 1 (<b>a</b>) and examiner 2 (<b>b</b>). * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01; *** = <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">
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