Non-Invasive, Bioelectric Lifestyle Management Device

• US 20160256086A1
• Filed: 03/03/2016
• Published: 09/08/2016
• Est. Priority Date: 03/03/2015
• Status: Abandoned Application

• Current Assignee: Co-Optical
• Original Assignee: Co-Optical
• Inventors: Byrd, Samuel Steven, Duke, Zane Alexander, Graviet, Amber DeAnn, Naim, AlQassem Omar Shaaban
• Application Number:
  US15/059,671
• Publication Number:
  US 20160256086A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• 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 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/4845 Toxicology, e.g. by detection of alcohol, drug or toxic products A61B5/4848 takes precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence

Abstract

The techniques discussed herein ascertain a biological condition via bioelectric signals. In at least one example, the techniques capture bioelectric signals of an organism, isolate from the bioelectric signals of the organism the bioelectric signals emitted from an eye of an organism, and correlate properties of the bioelectric signal emitted from the eye with biological conditions of the organism such as, for example, blood glucose level, a heart rate, a blood ketone level, a blood alcohol content, a hydration level, a blood albumin level, and/or a blood electrolyte level

Claims

1. A system for monitoring blood glucose levels, the system comprising:

one or more processors;

memory accessible by the one or more processors;

headwear comprising;

one or more electrodes positioned to contact a portion of skin and collect from the portion of skin electrical signals propagated from at least one eye and corresponding to an electrooculogram or electroretinogram;

one or more grounding electrodes positioned on a nosebridge of the eyeglasses; and

one or more modules maintained in the memory, which when executed by the one or more processors;

receive the electrical signals collected by the one or more electrodes;

amplify the electrical signals to remove noise from the electrical signals;

filter the electrical signals to remove electrical signals with a frequency above or below a predetermined threshold;

correlate the electrical signals to a blood glucose level; and

output a current blood glucose level based at least in part on the compared electrical signal to a baseline blood glucose level.

2. A wearable device for monitoring bioelectric signals, the device comprising:

one or more processors;

one or more electrodes;

memory accessible by the one or more processors having modules stored thereon, the modules, when executed by the one or more processors, configure the one or more processors to;

collect at least one signal from the one or more electrodes;

isolate a bioelectric signal from the collected signal; and

transmit the bioelectric signal.

3. The device as recited in claim 2, wherein the at least one bioelectric signal comprises at least one of a signal corresponding to an electrocardiogram, an electroencephalogram, an electromyogram, an electooculogram, or an electroretinogram.

4. The device as recited in claim 2, further comprising a camera.

5. The device as recited in claim 4, wherein the modules stored on the memory that, when executed by the one or more processors, further configure the processors to receive a second signal from the camera indicating a visible light state or infrared state.

6. The device as recited in claim 5, wherein isolating the bioelectric signal at least in part includes using the second signal.

7. The device as recited in claim 5, wherein the at least one signal from the one or more electrodes is collected from one or more eyes of a user and the second signal indicates a gaze direction of the user.

8. The device as recited in claim 2, wherein isolating the bioelectric signal includes removing signal frequencies above a first threshold and below a second threshold from the received bioelectric signal and removing noise from the bioelectric signal.

9. The device as recited in claim 2, wherein the wearable device is configured to continuously receive the at least one signal from the one or more electrodes and continuously identify at least one bioelectric signal from the one or more electrodes while the wearable device is placed on a user.

10. The device as recited in claim 2, wherein the modules stored on the memory that, when executed by the one or more processors, further configure the processors to transmit the bioelectric signal to an external location, the external location comprising an electronic device communicatively coupled to the device and the electronic device is configured to display the information corresponding to the bioelectric signal.

11. The device as recited in claim 2 further comprising a display and wherein the wearable device transmits the bioelectric signal to the display.

12. The device as recited in claim 11, further comprising at least one viewing lens and wherein the modules stored on the memory that, when executed by the one or more processors, further configure the processors to display information associated with the bioelectric signal on the at least one viewing lens.

13. The device as recited in claim 2, wherein the modules stored on the memory that, when executed by the one or more processors, further configure the processors to calculate a health metric based at least in part on the bioelectric signal.

14. The device as recited in claim 2, further comprising a light source.

15. The device as recited in claim 12, wherein the modules stored on the memory that, when executed by the one or more processors, further configure the processors to activate the light source to stimulate a user'"'"'s eye and wherein the device isolates the bioelectric signal from the signal based at least in part on activation of the light source.

16. A method comprising:

collecting a bioelectric signal using electrodes disposed on or near one or more;

skin near an eye, skin of a nasal bridge, skin of a temple, skin around or behind an ear, lateral canthus of an eye, medial canthus of an eye, or a surface of the eye;

isolating a frequency spectrum from the collected bioelectric signal;

correlating the isolated bioelectric signal to a biological condition state by, at least in part, comparing the isolated bioelectric signal to a baseline bioelectric signal of the biological condition to produce biological condition data; and

outputting the biological condition data.

17. The method as recited in claim 16, wherein the electrodes are integrated with wearable eyeglasses and the bioelectric signal comprises at least one of a signal propagated through an organism corresponding to an electrocardiogram, an electroencephalogram, an electromyogram, an electooculogram, or an electroretinogram collected from the skin near the eye.

18. The method as recited in claim 16, wherein the collected bioelectric signal is an analog signal and the acts further comprising converting the isolated bioelectric signal to a digital signal.

19. The method as recited in claim 16, further comprising storing the current level of the biological condition based at least in part on the compared bioelectric signal to a baseline of the biological condition.

20. The method as recited in claim 16, wherein the biological condition comprises at least one of a blood glucose level, a heart rate, a blood ketone level, a blood alcohol content, a hydration level, a blood albumin level, or a blood electrolyte level.