Continuous Eye Dynamics Monitoring for Physiologically Correct Biometry
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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 lens implantation.
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 to select only data from stable vision phases for accurate calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If measurement data are acquired quickly within a second, then patient burden is reduced and attention is maintained, but the optical-physiological state of the eye is unknown leading to measurement errors
Solution Approach 1:
The system performs preliminary classification of measurement data based on dynamic eye parameters (blinking, accommodation, fixation stability) before final evaluation. This preliminary action identifies and flags potentially erroneous measurements taken during unstable ocular states, allowing the system to either discard these measurements or mark them for review, thereby improving measurement reliability without significantly extending the measurement time.
2Reliability
If multiple measurements are taken with averaging, then measurement reliability is improved, but measurement time increases and patient attention may be lost
Solution Approach 1:
The system performs preliminary classification of each individual measurement based on dynamic eye parameters (blinking, accommodation, fixation stability) before final evaluation. This preliminary action identifies and flags potentially erroneous measurements taken during unstable ocular states, allowing the system to either discard these measurements or mark them for review, thereby improving measurement reliability without significantly extending the measurement time.
Solution Approach 2:
The system changes the parameter of measurement selection from arbitrary time-based selection to physiology-based selection. By monitoring dynamic parameters such as blinking frequency, accommodation state, and fixation stability, the system identifies optimal measurement windows when the eye is in a stable, physiologically appropriate state for accurate biometric data acquisition.
3Measurement precision
If dynamic behavior of the eye is monitored continuously, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional existing ocular imaging components to serve dual purposes: primary biometric measurement and secondary dynamic state monitoring. The same cameras and optical paths used for capturing eye structure images are also utilized to detect blinking, fixation stability, and accommodation changes, eliminating the need for separate dedicated sensors and reducing overall system complexity.
Solution Approach 2:
The measurement system uses its own existing imaging resources to monitor the dynamic state of the eye. The cameras and processing units already present in the biometric measurement device are leveraged to detect ocular dynamics, making the system self-sufficient and avoiding additional hardware requirements.
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.