STROKE DETECTION USING OCULAR PULSE ESTIMATION
A system and method for detecting a stroke includes a non-contact ocular pulse measurement device configured to output a first and a second ocular pulse measurement signals for each of a patient's eyes, respectively. A computing system has a processor and a memory, and the memory stores instructions that when executed cause the processor to analyze the first and second ocular pulse measurements. An index of difference between the first and second ocular pulse measurements is determined, and a user interface is generated that includes a stroke advisory to the patient based on the index of difference.
1 . A system for detecting a stroke, comprising:
a non-contact ocular pulse measurement device configured to output a first and a second ocular pulse measurement signals for each of a patient's eyes, respectively;
a processor and a memory, the memory storing instructions that when executed cause the processor to
analyze the first and second ocular pulse measurements;
determine an index of difference between the first and second ocular pulse measurements; and
generate a user interface including a stroke advisory to the patient based on the index of difference.
2 . The system of claim 1 , wherein the ocular pulse measurement includes an ocular pulse measurement.
3 . The system of claim 1 , wherein the instructions cause the processor to:
compare the measured ocular pulse in a time domain.
4 . The system of claim 1 , wherein the instructions cause the processor to:
compare the measured ocular pulse in at least one of an amplitude domain and a frequency domain.
5 . The system of claim 1 , wherein the instructions cause the processor to:
compare the measured ocular pulse to a baseline ocular pulse measurement.
6 . The system of claim 1 , wherein:
the a non-contact ocular pulse measurement device includes an eyeglass mounted measurement device. The system of claim 1 , wherein the instructions cause the processor to:
make digital images of the patient's eyes.
8 . The system of claim 1 , wherein the instructions cause the processor to:
make infrared (IR) distance measurements to corneas of the patient's eyes.
9 . The system of claim 1 , wherein:
the non-contact ocular pulse measurement device includes a directed light generator; and
wherein the instructions cause the processor to make ultrasonic time of flight measurements to the corneas and the arcs of the patient's eyes using the directed light.
10 . The system of claim 1 , further comprising:
an output device;
wherein the generated user interface is displayed on the output device.
11 . A method for detecting a stroke, comprising:
measuring an ocular pulse for two eyes of a patient using a non-contact measurement;
comparing the measured ocular pulse between the two eyes;
generating a user interface including a stroke advisory to the patient based on the comparison.
12 . The method of claim 11 , wherein:
measuring the ocular pulse includes measuring an ocular pulse amplitude.
13 . The method of claim 11 , wherein:
comparing the measured ocular pulse includes comparing the measured ocular pulse in a time domain.
14 . The method of claim 11 , wherein:
comparing the measured ocular pulse includes comparing the measured ocular pulse in at least one of an amplitude domain and a frequency domain.
15 . The method of claim 11 , wherein:
comparing the measured ocular pulse includes comparing the measured ocular pulse to a baseline ocular pulse measurement.
16 . The method of claim 11 , wherein:
measuring the ocular pulse includes using an eyeglass mounted measurement device.
17 . The method of claim 11 , wherein:
measuring the ocular pulse includes making digital images of the patient's eyes.
18 . The method of claim 11 , wherein:
measuring the ocular pulse includes making infrared (IR) distance measurements to corneas of the patient's eyes.
19 . The method of claim 11 , wherein:
measuring the ocular pulse includes making ultrasonic time of flight measurements to the corneas and the arcs of the patient's eyes using a directed light.