Device and methods for monitoring a visual field progression of a user
This disclosure provides a method for determining the likelihood of being at or beyond a certain rate and/or risk of visual field progression (VFP) of a user, that may include measuring ocular biomechanical properties (OBP) through a continuous-wear sensor placed on or implanted in the eye; recording the user's ocular biomechanical properties in the form of at least one OBP time series plot in a recorder, a processing step wherein at least one of a plurality of OBP parameters are extracted from the recorded OBP time series plot; a calculation step wherein the at least one of a plurality of OBP parameters are associated to VFP, and a determining step wherein one determines whether the visual field progression is at or beyond a certain VFP threshold and/or the probability that the said visual field progression is comprised within a specific range.
1. Method for determining the likelihood of a user being at or beyond a certain rate and/or risk of visual field progression (VFP), comprising the following steps:
a measuring step (S 101 ) comprising measuring ocular biomechanical properties (OBP) through a continuous-wear sensor placed on or implanted in the eye, with said measurement comprising repeated data capture at regular time intervals;
a recording step (S 102 ) comprising recording the user's ocular biomechanical properties in the form of at least one OBP time series plot in a recorder;
a processing step (S 103 ) wherein at least one of a plurality of OBP parameters are extracted from the recorded OBP time series plot;
a calculation step (S 104 ) wherein the at least one of a plurality of OBP parameters are associated to VFP, and
a determining step (S 105 ) wherein one determines whether the visual field progression is at or beyond a certain VFP threshold and/or the probability that the said visual field progression is comprised within a specific range; wherein the extracted OBP parameters are at least one taken from the group comprising amplitude, minimum, maximum, standard-deviation, number of peaks, slopes, fitted cosinor curve of a 24-hour OBP profile, number of large peaks, mean peak ratio, amplitude of the cosine curve, wake-to-sleep slope, variability from the mean and area under the curve, or a combination thereof.
2. The method according to claim 1 , wherein in the determining step (S 105 ), the visual field progression threshold is 0 dB/year or less.
3. The method according to claim 1 , wherein the processing step (S 103 ) extracts a first number of first order parameters which are then combined to provide a second number, lower than the first number, of second order parameters.
4. The method according to claim 1 , wherein the extracted OBP parameters are at least one taken from the group comprising amplitude, minimum, maximum, standard-deviation, number of peaks, slopes, fitted cosinor curve of a 24-hour OBP profile, mean peak ratio, amplitude of the cosine curve, wake-to-sleep slope, variability from the mean and area under the curve, or a combination thereof.
5. The method according to claim 1 , wherein in the calculation (S 104 ) step, the extracted OBP parameters are combined with additional user metadata.
6. The method according to claim 5 , wherein the extracted OBP parameters and additional user metadata are combined through a logistic model.
7. The method according to claim 5 , wherein the additional user metadata are taken from the group comprising latest TOP data, age, a number of medications taken during past 5 years, latest visual field mean defect.
8. The method according to claim 1 , wherein the continuous-wear sensor is a wireless Contact Lens Sensor.
9. The method according to claim 8 , wherein the continuous-wear sensor is implanted in the eye.
10. The method according to claim 1 , further comprising an OBP data downloading step (S 106 ) comprising transferring the OBP data from the recorder to a computer.
11. The method according to claim 10 , wherein the downloading step consists in a wireless data transfer.
12. The method according to claim 1 , further comprising a cleaning step (S 107 ) prior to the processing step (S 103 ) and adapted to clean the OBP time data by deleting the bad quality measured data.
13. The method according to claim 1 , further comprising a result communicating step (S 108 ) after the determining step (S 105 ), adapted to send a signal to a receiver, said signal indicating the likelihood of being at or beyond a certain rate and/or risk of visual field progression.
14. The method according to claim 1 , characterized in that it is a computer-implemented method.
15. The method according to claim 1 , wherein the determining step (S 105 ) determines the likelihood of being at or beyond a certain rate and/or risk of BNFL progression.
16. A system for predicting visual field progression in a user by carrying out the method of claim 1 the system comprising:
a continuous-wear sensor placed on or implanted in the eye adapted to measure ocular biomechanical properties with repeated data capture at regular time intervals;
a recorder adapted to record the user's ocular biomechanical properties in the form of at least one OBP time series plot,
a processing unit for extracting at least one of a plurality of OBP parameters from the recorded OBP time series plot;
a calculation unit for associating the at least one of a plurality of OBP parameters to VFP, and
a determining unit for determining whether the visual field progression is at or beyond a certain VFP threshold and/or the probability that the said visual field progression is comprised within a specific range.