Abstract
Purpose :
When planning cataract surgery, a variety of factors are considered to determine the power of the intraocular lens, and the patient's primary viewing distance is one of the most important factors to consider. However, patients are often unaware of the distance they are primarily looking at. Therefore, we sought to develop smart glasses that continuously measure the patient's attention distance span 24 hours a day.
Methods :
In order to use wearable smart glasses suitable for pre-surgery examinations of cataract patients, we used an Arduino sensor to easily determine the patient's attention distance to determine the power of intraocular lenses before cataract surgery. The infrared distance sensor integrates a position sensing detector (PSD), an infrared light emitting diode (IRED), and a signal processing circuit.
The extensive range measurement data captured by the infrared distance sensors stored within the code structure is setting up to measure the distance to an object at a frequency of 4 times per second. The memory card slot and the infrared distance sensor could be connected to the main board.
Results :
The smart glasses using the infrared distance sensors can be seen in Fig. 1. File sizes range from 1 to 5 MB, and by changing the code in later steps to create multiple files, it is possible to better manage the intended data set. Confirmation of the tool's operation is attained through the illumination of a red lamp upon connection of a 9V battery to the Arduino mini board. The program function requires the smart glasses to be connected to the PC and the serial monitor to be running, and it saves the data of the distance measured from the object to a text file. To view the stored data, simply remove the memory card from the SD card module and connect it to the PC. In the archived data, one can observe the range of distances between 20.00 and 80.00 cm, contingent upon the year, month, day, hour, minute, and second, as depicted in Fig. 2.
Conclusions :
We have implemented smart glasses that measure the patient's viewing distance. Based on these results, our future goal is to study infrared rangefinder tools and methods by measuring data wirelessly.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.