Eye Biometric Measurement Using Stable Vision Phase Selection
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Solution Overview
Problem
Existing biometric measurement methods for the eye, particularly in preparation for cataract surgery, are prone to errors due to the dynamic nature of the eye's optical-physiological state, which is not adequately considered, leading to non-optimal calculations for intraocular lenses (IOLs).
Innovation Solution
A method that records biometric measurement data continuously over time at a high repetition rate, analyzing the eye's dynamic behavior based on tear film, eyelid opening, fixation, accommodation, and adaptation, and selects only data from stable vision phases for accurate calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If measurement data are acquired arbitrarily within a second to minimize patient burden, then patient comfort is improved, but measurement reliability deteriorates due to unknown optical-physiological state
Solution Approach 1:
The system performs continuous monitoring of eye dynamics parameters (blinking, tear film, fixation, accommodation) throughout the measurement period, ensuring that measurement data are only acquired when all parameters indicate a stable, optimal optical-physiological state. This continuous monitoring approach maintains measurement reliability while allowing flexible timing that minimizes patient burden.
Solution Approach 2:
The system uses real-time feedback from multiple sensors monitoring eye dynamics to dynamically determine the optimal timing for measurement data acquisition. When the monitored parameters indicate a stable state suitable for measurement, the system triggers data acquisition; otherwise, it waits. This feedback mechanism ensures reliable measurements are taken at appropriate moments without unnecessarily prolonging the examination.
2Reliability
If multiple measurements are performed with subsequent averaging, then measurement reliability is improved, but measurement time and patient burden increase
Solution Approach 1:
The system performs preliminary continuous monitoring of eye dynamics parameters before actual measurement data acquisition to identify the optimal timing window. By pre-assessing the optical-physiological state through continuous monitoring of blinking, tear film, fixation, and accommodation, the system ensures that subsequent measurements are taken at the most favorable moment, reducing the need for multiple repeated measurements and averaging.
Solution Approach 2:
The system maintains continuous monitoring of eye dynamics throughout the measurement process, allowing for real-time assessment of optical-physiological stability. This continuous observation enables the system to capture reliable measurement data during brief optimal windows without requiring multiple separate measurement sessions or prolonged examination time.
3Measurement precision
If dynamic behavior of the eye is continuously recorded at high repetition rate, then measurement precision is improved, but use of energy and device complexity increase
Solution Approach 1:
The system implements continuous recording of eye dynamics parameters (blinking, tear film, fixation, accommodation) at high repetition rates throughout the measurement period. This continuous high-speed monitoring captures the dynamic behavior of the eye in detail, enabling precise identification of optimal measurement timing windows while managing energy consumption through efficient data processing and selective data acquisition only during stable states.
Solution Approach 2:
The system dynamically adjusts measurement timing based on real-time detection of eye state transitions. By continuously monitoring at high repetition rates and identifying transient stable states within the dynamic eye behavior, the system achieves high measurement precision by capturing data at the most favorable moments without requiring sustained high-energy operation throughout the entire examination period.
Data Source
AI summary
A method for collecting biometric measurement data of an eye on the basis of different measurement modalities, allowing for physiologically correct, representative, and robust biometric measurement data. In the method, the measurement data for individual measurement variables and the dynamic behavior of the eye are recorded continuously at the highest possible repetition rate over the measurement time. The individual phases of the dynamics of the eye which define the limits of the phase for stable vision are analyzed on the basis of the measurement values, and only the measurement data for the individual measurement variables are output which have been detected during the phase for stable vision. Although the proposed method is provided for collecting biometric measurement data in preparation for a cataract operation, the method can also be applied to other areas of ophthalmology to generate error-free measurement data or recordings of the eye.