BLOOD-CHEMISTRY IMBALANCE DETERMINATION BY MEANS OF REFLEX REACTION TIME MEASUREMENTS

• US 20130307686A1
• Filed: 05/15/2013
• Published: 11/21/2013
• Est. Priority Date: 05/18/2012
• Status: Abandoned Application

• Current Assignee: James C. Frauenthal, Ramalho, Michael
• Original Assignee: James C. Frauenthal, Ramalho, Michael
• Inventors: FRAUENTHAL, James C., RAMALHO, Michael
• Application Number:
  US13/894,583
• Publication Number:
  US 20130307686A1
• Time in Patent Office: Days
• US Class Current: 340/539.12
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/12 Audiometering
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/4058 for evaluating the central nervous system A61B5/4806, A61B5/4821 take precedence
• CPC Class Codes: A61B 5/441 Skin evaluation, e.g. for skin disorder diagnosis
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system and method are provided whereby periodic measurements of autonomic reflex times of individuals are used as an early-warning indication that an undesirable physical condition, such as an undesirable blood-chemistry condition, may exist. This method correlates measurements of the reaction times of specific autonomic reflexes to more-definitive measurements for the medical condition being monitored for this early-warning assessment.

Claims

1. A method for a processor-controlled computing device to automatically determining an adverse physiological change in a person, comprising the steps of:

identifying an autonomic reflex parameter for measurement,

determining a baseline range for said parameter,

measuring said parameter at a predefined interval and capturing the plurality of measured data,

analyzing said measured data by determining if individual measurements or the trend of said measurements is at or near the edges of said baseline range.

2. The method of claim 1, where said parameter is one in which there is a statistical relationship with changes in blood sugar.

3. The method of claim 1, wherein said parameter is one in which there is a statistical relationship with changes in blood alcohol.

4. The method of claim 1, where said measurement is at least one of pulse, skin coloration, eye movement, ear movement, or vestibulo-ocular reflex (VOR).

5. The method of claim 1, where said range is determined at least in part, on medical history of the individual.

6. The method of claim 1 further comprising the step of delivering a notification of an adverse condition upon identifying individual measurements or the trend of said measurements is at or near the edges of said baseline range.

7. The method of claim 1 further comprising the step of, upon determining that individual measurements or the trend of said measurements is at or near the edges of said baseline range, taking one or more tests, wherein said tests are directed to determination of one or more additional parameters.

8. The method of claim 7, where said tests are intrusive.

9. A system for providing an alert based on a possible medical condition, including:

a measurement element, for measuring an autonomic reflex at regular intervals, a reporting element for reporting results of each measurement;

an analysis element for analyzing each of said measurements relative to a pre-determined baseline; and

a notification system for notifying a remote device when said analysis results in one or more measures exceeding or approaching said baseline.

10. The system of claim 9, where said parameter is one in which there is a statistical relationship with changes in blood sugar.

11. The system of claim 9, wherein said parameter is one in which there is a statistical relationship with changes in blood alcohol.

12. The system of claim 9, where said measurement is at least one of pulse, skin coloration, eye movement, ear movement, or VOR.

13. The system of claim 9, where said range is determined at least in part, on medical history of the individual.

14. The system of claim 9 further comprising the step of delivering a notification of an adverse condition upon identifying individual measurements or the trend of said measurements is at or near the edges of said baseline range.

15. A method for a processor to provide remote notification of a possible medical condition in an individual comprising the steps of:

measuring an autonomic reflex parameter in an individual,

analyzing said measurement against a pre-determined acceptable range for said measurement,

upon determining that said measurement is outside said range, transmitting a message to a pre-determined destination indicating said measurement is outside said range,

wherein said transmitting is delivered using the internet.

16. The method of claim 15, where said measurement is at least one of pulse, skin coloration, eye movement, ear movement, or VOR.

17. The method of claim 15, where said range is determined at least in part, on medical history of the individual.

18. The method of claim 15, where said message includes instruction to a remote device to preclude start-up of a vehicle.

19. The method of claim 15, where said message includes notification of a particular condition.

20. The method of claim 15, where said message is comprised of a text message.

21. The method of claim 15, where said analysis is based on a trend of measurements.