AUTOMATED SYSTEMS AND METHODS FOR SKIN ASSESSMENT AND EARLY DETECTION OF A LATENT PATHOGENIC BIO-SIGNAL ANOMALY

• US 20160100790A1
• Filed: 10/07/2015
• Published: 04/14/2016
• Est. Priority Date: 10/08/2014
• Status: Active Grant

• Current Assignee: Revealix Inc.
• Original Assignee: Revealix Inc.
• Inventors: Cantu, Adrianna, Johnson, Gary
• Granted Patent: US 10,117,617 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0064 Body surface scanning
• CPC Class Codes: A61B 5/015 By temperature mapping of body part
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/1075 for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer A61B8/0858 takes precedence
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/445 Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424

Abstract

The present invention relates to systems and methods for early detection, assessment, monitoring and prevention of pathophysiological conditions originating and/or emanating from skin or localized tissues, including but not limited to acute or chronic episodes of soft tissue pathology, wound, injury, dermatological or rheumatoid condition where bio-signal patterns, biomarkers or other identifiable elements or references would deviate from baseline. Specifically, the present invention relates to methods and systems specially designed and adapted for early detection of a latent pathogenic bio-signal anomaly using multiple aggregated sensors before the anomaly would otherwise be detectable.

Claims

1. A scanner for early detection of a latent pathogenic bio-signal anomaly in a patient comprising:

an infrared sensor;

an optical sensor;

an input module to receive one or more key factor input for the patient;

a metrics module electrically connected to the infrared sensor, the optical sensor, and the input module, comprising a combinational and adaptive processor and memory, to

receive the one or more key factor input for the patient from the input module,

acquire and store infrared sensor data from the infrared sensor and optical sensor data from the optical sensor,

determine a combination of the infrared sensor data and the optical sensor data to use to calculate a key indicator based on the one or more key factor,

generate the key indicator to represent skin health that is a weighted function of the infrared sensor data and the optical sensor data, and

compare the key indicator to a baseline of key indicators to determine if the latent pathogenic bio-signal anomaly is present.

2. The system of claim 1 wherein the combinational and adaptive processor is programmed to perform simultaneous localization and mapping of a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

3. The system of claim 1 wherein the combinational and adaptive processor is programmed to generate temperature profiles for a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

4. The system of claim 1 wherein the combinational and adaptive processor is programmed to perform sizing and location analysis for a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

5. The system of claim 1 wherein the combinational and adaptive processor is programmed to perform the functions selected from the group consisting of skin matching, skin texture analysis, intelligent skin location identification, reflection analysis, color analysis, environmental temperature detection, and range determination from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

6. A monitoring system for early detection of a latent pathogenic bio-signal anomaly in a patient comprising:

an array of multiple real-time sensors capable of sensing bio-signals of the patient;

an input module to receive one or more key factor input for the patient;

a metrics module electrically connected to the array of multiple real-time sensors and the input module, comprising a combinational and adaptive processor and memory, to

receive the one or more key factor input for the patient from the input module,

acquire and store sensor data from the multiple real-time sensors,

determine a combination of the sensor data from a subset of the multiple real-time sensors to use to calculate a key indicator based on the one or more key factor and the sensor data from the multiple real-time sensors,

generate the key indicator to represent skin health that is a weighted function of the combination of the sensor data from the subset of the multiple real-time sensors and the one or more key factor, and

compare the key indicator to a baseline of key indicators to determine if the latent pathogenic bio-signal anomaly is present.

7. The system of claim 6 wherein the combinational and adaptive processor is programmed to perform simultaneous localization and mapping of a portion of the patient'"'"'s body while it acquires the data from the multiple real-time sensors.

8. The system of claim 6 wherein the combinational and adaptive processor is programmed to generate temperature profiles for a portion of the patient'"'"'s body while it acquires the data from the multiple real-time sensors.

9. The system of claim 6 wherein the combinational and adaptive processor is programmed to perform sizing and location analysis for a portion of the patient'"'"'s body while it acquires the data from the multiple real-time sensors.

10. The system of claim 6 wherein the combinational and adaptive processor is programmed to perform the functions selected from the group consisting of skin matching, skin texture analysis, intelligent skin location identification, reflection analysis, color analysis, environmental temperature detection, and range determination.

11. The system of claim 6 wherein the multiple real-time sensors include an infrared sensor and an optical sensor.

12. The system of claim 6 wherein the multiple real-time sensors include sensors selected from the group consisting of mono visible cameras, stereo visible cameras, mono infrared cameras, stereo infrared cameras, infrared pile sensors, spot measuring sensors, ambient temperature sensors, ambient light sensors, gas sensors, ultrasound sensors, near-infrared light sensors, gyroscopes, accelerometers, GPS sensors, Wi-Fi sensors, other location aware sensors, depth sensing sensors, bar ID scanners, patient ID scanners, terahertz sub-dermal scanners, ultrasound scanners, impedance spectroscopy sensors, and moisture sensors.

13. The system of claim 6 wherein the key indicator is selected from the group consisting of bio-signals, temperature profile, temperature differences, temperature comparisons, color indicators, color gradient indications, reflectivity indexes, texture indexes, area, areas interest, volume, contour heights, key performance markers, and key indicating factors.

14. The system of claim 6 wherein the one or more key factors are selected from the group consisting of data from the patient'"'"'s HER, the patient'"'"'s profile, key ratios for the combinational and adaptive processor, trigger points for the combinational and adaptive processor, priming functions for the combinational and adaptive processor, and override parameters.

15. The system of claim 6 wherein the baseline of key indicators is a population key indicator baseline.

16. The system of claim 6 wherein the baseline of key indicators is an individual key indicator baseline.

17. The system of claim 6 wherein the weighting of each of the subset of the multiple real-time sensors is selected based on specific combinations of sensor input.

18. The system of claim 6 wherein the weighting of each of the subset of the multiple real-time sensors and the one or more key factor are selected based on specific combinations of sensor input.

19. The system of claim 6 wherein the combinational and adaptive processor is programmed to compare the key indicator to the baseline of key indicators over time to track a progression of the pathogenic bio-signal anomaly.

20. (canceled)

21. A method for early detection of a latent pathogenic bio-signal anomaly in a patient comprising:

providing an infrared sensor;

providing an optical sensor;

providing an input module to receive one or more key factor input for the patient;

providing a metrics module electrically connected to the infrared sensor, the optical sensor, and the input module, comprising a combinational and adaptive processor and memory, and

receiving with the metrics module the one or more key factor input for the patient from the input module,

acquiring and storing with the metrics module infrared sensor data from the infrared sensor and optical sensor data from the optical sensor,

determining with the metrics module a combination of the infrared sensor data and the optical sensor data to use to calculate a key indicator based on the one or more key factor,

generating with the metrics module the key indicator to represent skin health that is a weighted function of the infrared sensor data and the optical sensor data, and

comparing with the metrics module the key indicator to a baseline of key indicators to determine if the latent pathogenic bio-signal anomaly is present.

22. The method of claim 21 comprising the combinational and adaptive processor performing simultaneous localization and mapping of a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

23. The method of claim 21 comprising the combinational and adaptive processor generating temperature profiles for a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

24. The method of claim 21 comprising the combinational and adaptive processor performing sizing and location analysis for a portion of the patient'"'"'s body from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

25. The method of claim 21 comprising the combinational and adaptive processor performing the functions selected from the group consisting of skin matching, skin texture analysis, intelligent skin location identification, reflection analysis, color analysis, environmental temperature detection, and range determination from the infrared sensor data and the optical sensor data while the combinational and adaptive processor acquires the data from the multiple real-time sensors.

26. A method for early detection of a latent pathogenic bio-signal anomaly in a patient comprising:

providing an array of multiple real-time sensors capable of sensing bio-signals of the patient;

providing an input module to receive one or more key factor input for the patient;

providing a metrics module electrically connected to the array of multiple real-time sensors and the input module, comprising a combinational and adaptive processor and memory, and

receiving with the metrics module the one or more key factor input for the patient from the input module,

acquiring and storing with the metrics module sensor data from the multiple real-time sensors,

determining with the metrics module a combination of the sensor data from a subset of the multiple real-time sensors to use to calculate a key indicator based on the one or more key factor and the sensor data from the multiple real-time sensors,

generating with the metrics module the key indicator to represent skin health that is a weighted function of the combination of the sensor data from the subset of the multiple real-time sensors and the one or more key factor, and

comparing with the metrics module the key indicator to a baseline of key indicators to determine if the latent pathogenic bio-signal anomaly is present.

27. The method of claim 26 comprising the metrics module performing skin matching, skin texture analysis, temperature profiles, simultaneous localization and mapping, intelligent skin location identification, reflection analysis, color analysis, sizing and location, environmental temperature detection, and range determination.

28. The method of claim 26 wherein the multiple real-time sensors include sensors selected from the group consisting of mono visible cameras, stereo visible cameras, mono infrared cameras, stereo infrared cameras, infrared pile sensors, spot measuring sensors, ambient temperature sensors, ambient light sensors, gas sensors, ultrasound sensors, near-infrared light sensors, gyroscopes, accelerometers, GPS sensors, Wi-Fi sensors, other location aware sensors, depth sensing sensors, bar ID scanners, patient ID scanners, terahertz sub-dermal scanners, ultrasound scanners, impedance spectroscopy sensors, and moisture sensors.

29. The method of claim 26 wherein the key indicator is selected from the group consisting of bio-signals, temperature profile, temperature differences, temperature comparisons, color indicators, color gradient indications, reflectivity indexes, texture indexes, area, areas interest, volume, contour heights, key performance markers, and key indicating factors.

30. The method of claim 26 wherein the one or more key factors are selected from the group consisting of data from the patient'"'"'s EHR, the patient'"'"'s profile, key ratios for the combinational and adaptive processor, trigger points for the combinational and adaptive processor, priming functions for the combinational and adaptive processor, and override parameters.

31. The method of claim 26 wherein the baseline of key indicators is a population key indicator baseline.

32. (canceled)

33. (canceled)

34. (canceled)

35. (canceled)

36. (canceled)