Versatile sensors with data fusion functionality

• US 9,734,304 B2
• Filed: 03/15/2013
• Issued: 08/15/2017
• Est. Priority Date: 12/02/2011
• Status: Active Grant

• Current Assignee: Luminradx UK Ltd.
• Original Assignee: Lumiradx UK Ltd
• Inventors: Blackadar, Thomas P., Monahan, David P.
• Primary Examiner(s): Winakur, Eric
• Assistant Examiner(s): Liu, Chu Chuan (JJ)
• Application Number:
  US13/840,098
• Publication Number:
  US 20130217979A1
• Time in Patent Office: 1,614 Days
• Field of Search: 600300, 600476, 600301, 600310, 600316, 600322, 600323, 600331, 600333, 600340, 600344, 600473, 356 41, 435 24
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject.

Claims

1. A system configured to be supported by a subject, the system comprising:

a processor;

a physiological monitor comprising at least one light source arranged to interrogate a region of the subject and at least one photodetector arranged to receive radiation from the at least one light source that has been transmitted through or reflected from the interrogated region, the physiological monitor being configured to operate in a plurality of different monitoring modes in each of which the at least one light source and at least one photodetector are controlled to cause the physiological monitor to monitor a different set of one or more physiological parameters of the subject, wherein at least a first one of the plurality of monitoring modes monitors at least blood oxygenation of the subject and at least a second one of the plurality of monitoring modes monitors at least a physiological parameter selected from the group consisting of;

blood glucose, plethysmography, and heart rate; and

an activity monitor comprising an accelerometer;

wherein the processor is configured to process data from the accelerometer to compute at least one metric for an activity being performed by the subject, and determine a monitoring mode, from among the plurality of monitoring modes, of the physiological monitor based upon the computed metric for the activity;

wherein the physiological monitor is configured to receive a control signal from the processor that identifies the determined monitoring mode in which the physiological monitor is to operate, and is further configured to operate in the determined monitoring mode in response to the received control signal; and

wherein each of the plurality of monitoring modes comprises a mode in which at least one physiological parameter of the subject is monitored based upon at least one measurement made by the physiological monitor while the physiological monitor is in the determined monitoring mode.

2. The system of claim 1, wherein the processor is further configured to present on at least one display an indication of blood glucose level responsive to a user tapping a housing containing the accelerometer.

3. The system of claim 1, wherein the processor is further configured to present on at least one display an indication of the subject'"'"'s progress toward an activity goal responsive to a user tapping a housing containing the accelerometer.

4. The system of claim 1, wherein the at least one light source comprises at least one laser source for interrogating the region of the subject.

5. The system of claim 1, wherein the second one of the plurality of monitoring modes monitors plethysmography of the subject.

6. The system of claim 5, wherein the processor is further configured to analyze plethysmography waveform data received from the at least one photodetector when the physiological monitor operates in the second one of the plurality of monitoring modes.

7. The system of claim 1, wherein the processor is further configured to compute a blood oxygenation level from the data received from the at least one photodetector when the physiological monitor operates in the first one of the plurality of monitoring modes.

8. The system of claim 7, wherein the processor is further configured to compute a fitness metric representative of a fitness level of the subject, wherein the fitness metric comprises a combination of a measured rate of caloric burn during an activity identified by the processor, a heart rate during the activity, and a blood oxygenation level during the activity.

9. The system of claim 1, wherein the second one of the plurality of monitoring modes monitors heart rate of the subject.

10. The system of claim 9, wherein the processor is further configured to activate the physiological monitor to sense and provide heart rate data to the processor for a selected duration of time.

11. The system of claim 9, wherein the processor is configured to determine inter-beat variability of the subject when the determined monitoring mode monitors heart rate of the subject.

12. The system of claim 1, wherein the processor is further configured to process data from the physiological monitor in combination with the data received from the accelerometer to determine the monitoring mode.

13. The system of claim 1, wherein the processor is further configured to process the data received from the accelerometer to identify, from among a plurality of different activities, an activity performed by the subject and to compute the at least one metric representative of the identified activity.

14. The system of claim 1, wherein the processor is packaged with the physiological monitor separately from the accelerometer.

15. The system of claim 1, wherein processor is further configured to switch the physiological monitor to a power conserving state.

16. The system of claim 1, wherein the second one of the plurality of monitoring modes monitors blood glucose of the subject.

17. A method for operating a system that is configured to be supported by a subject, the method comprising:

processing, by a processor, first data received from an accelerometer of the system;

computing, by the processor, at least one metric for an activity being performed by the subject from the first data;

processing, by the processor, second data received from a physiological monitor comprising at least one light source arranged to interrogate a region of the subject and at least one photodetector arranged to receive radiation from the at least one light source that has been transmitted through or reflected from the interrogated region, wherein the physiological monitor is configured to operate in a plurality of different monitoring modes in each of which the at least one light source and at least one photodetector are controlled to cause the physiological monitor to monitor a different set of one or more physiological parameters of the subject, wherein at least a first one of the plurality of monitoring modes monitors at least blood oxygenation of the subject and at least a second one of the plurality of monitoring modes monitors at least a physiological parameter selected from the group consisting of;

blood glucose, plethysmography, and heart rate;

determining, by the processor, a monitoring mode, from among the plurality of monitoring modes, of the physiological monitor based upon the at least one metric, wherein each of the plurality of monitoring modes comprises a mode in which at least one physiological parameter of the subject is determined based upon at least one measurement made by the physiological monitor while the physiological monitor is in the determined monitoring mode;

receiving, at the physiological monitor, a control signal from the processor that identifies the determined monitoring mode in which the physiological monitor is to operate; and

operating the physiological monitor in the determined monitoring mode determined by the processor.

18. The method of claim 17, wherein the second one of the plurality of monitoring modes monitors blood glucose of the subject.

19. The method of claim 18, wherein the determined monitoring mode monitors blood glucose and further comprising:

detecting, by the processor, a rate of change of a blood glucose level that exceeds a predetermined threshold; and

issuing, by the processor, a control signal to the accelerometer to collect acceleration data at an increased frequency.

20. The method of claim 18, wherein the determined monitoring mode monitors blood glucose and further comprising:

detecting, by the processor, a blood glucose level that exceeds a predetermined threshold;

presenting, via at least one display, a first signal to the subject to induce the subject to increase an activity level;

measuring, by the processor, an amount of activity performed by the subject subsequent the presenting of the first signal; and

presenting, via the at least one display, a second signal to the subject indicating that the subject has performed a predetermined recommended amount of activity.

21. The method of claim 18, wherein the determined monitoring mode monitors blood glucose and further comprising:

detecting, by the processor, a rate of change in a blood glucose level that exceeds a predetermined threshold;

detecting, by the processor, a period of inactivity of the subject that encompasses the detected rate of change;

presenting, via at least one display, a signal to the subject to induce the subject to perform an invasive blood glucose measurement using a disposable strip.

22. The method of claim 18, wherein the determined monitoring mode monitors blood glucose and further comprising:

detecting, by the processor, data representative of a tapping motion of the accelerometer; and

presenting, via at least one display, an indication of blood glucose level responsive to the detected tapping.

23. The method of claim 17, further comprising:

detecting, by the processor, data representative of a tapping motion of the accelerometer; and

presenting, via at least one display, an indication of the subject'"'"'s progress toward an activity goal responsive to the detected tapping.

24. The method of claim 17, wherein the operating further comprises:

interrogating, by the at least one light source, the region of the subject; and

receiving, by the at least one photodetector, radiation from the at least one light source that has been transmitted through or reflected from the interrogated region of the subject.

25. The method of claim 24, wherein the determined monitoring mode monitors plethysmography and further comprising analyzing, by the processor, a plethysmography waveform from data received from the at least one photodetector.

26. The method of claim 24, wherein the determined monitoring mode monitors blood oxygenation and further comprising computing, by the processor, a blood oxygenation level from the data received from the at least one photodetector.

27. The method of claim 26, further comprising:

identifying, by the processor, an activity performed by the subject; and

computing, by the processor, a fitness metric representative of a fitness level of the subject, wherein the fitness metric comprises a combination of a measured rate of caloric burn during the activity, a heart rate during the activity, and a blood oxygenation level during the activity.

28. The method of claim 24, wherein the determined monitoring mode monitors heart rate and the operating further comprises:

detecting, with the at least one light source and the at least one photodetector, a heart rate of the subject for a duration of time determined by the processor; and

providing, by the physiological monitor, heart rate data representative of the measured heart rate to the processor.

29. The method of claim 28, further comprising:

computing, by the processor, a fitness index value for the subject based at least upon the received heart rate data.

30. The method of claim 17, further comprising processing the second data from the physiological monitor in combination with the first data to determine the monitoring mode.

31. The method of claim 17, further comprising:

processing, by the processor, the first data to identify, from among a plurality of different activities, an activity performed by the subject; and

computing, by the processor, the at least one metric representative of the identified activity.

32. The method of claim 17, wherein the second one of the plurality of monitoring modes monitors plethysmography of the subject.

33. The method of claim 17, wherein the second one of the plurality of monitoring modes monitors heart rate of the subject.