Method and apparatus for monitoring eye tremor
An apparatus consistent with the present invention comprises a sensor for receiving a signal representing eye tremor and a processor for monitoring eye tremor while receiving the signal. A method consistent with the present invention includes receiving a signal representing eye tremor, comparing the received signal representing eye tremor to at least one reference value, and classifying a patient's brain stem function using the comparison of the received signal representing eye tremor to at least one reference value. An embodiment consistent with the present invention includes an ocular micro tremor (OMT) sensor and associated signal processing hardware and software for clinical analyses.
1. A method for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and
filtering microsaccades.
2. A method for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and
selecting an eye tremor signal window.
3. A method for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and
reducing signal interference from a power supply.
4. A method, executed by a processor, for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and filtering microsaccades.
5. A method, executed by a processor, for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and
selecting an eye tremor signal window.
6. A method, executed by a processor, for classifying a patient's brain stem function using eye tremor, comprising:
receiving a signal representing eye tremor;
comparing said received signal representing eye tremor to at least one reference value;
classifying the patient's brain stem function using said comparison of said received signal representing eye tremor to at least one reference value; and
reducing signal interference from a power supply.