METHODS AND SYSTEM FOR MONITORING PHYSICAL ACTIVITIES

• US 20160192890A1
• Filed: 12/30/2015
• Published: 07/07/2016
• Est. Priority Date: 01/02/2015
• Status: Active Application

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Averina, Viktoria A., Thakur, Pramodsingh Hirasingh, An, Qi, Maskara, Barun
• Application Number:
  US14/984,990
• Publication Number:
  US 20160192890A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes 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 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/087 Measuring breath flow
• 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 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61N 1/36542 controlled by body motion, e.g. acceleration

Abstract

Systems and methods for monitoring physical activities or exercise are disclosed. A system can comprise an information receiver circuit capable of receiving information indicative of physical activities, and a physical activity analyzer circuit coupled to the information receiver circuit. The physical activity analyzer circuit can detect one or more activity parameters from the physical activity information, and classify the physical activity into one of a plurality of activity levels including a vigorous exercise, a moderate exercise, or a mild exercise or activities of daily living. The one or more activity parameters can include an activity intensity parameter, an activity duration parameter, or an activity transition pattern including a change or a rate of change from a first activity level to a different second activity level. The system can optionally include a heart failure detector that detects a HF event indicative of worsening HF using the activity levels.

Claims

1. A system, comprising:

a physical activity information receiver circuit, configured to receive information indicative of physical activity;

a physical activity analyzer circuit, coupled to the physical activity information receiver circuit, configured to detect one or more activity parameters using the physical activity information, and to classify the physical activity into one of a plurality of activity levels using the one or more activity parameters, the plurality of activity levels including two or more categorical activity levels;

wherein the one or more activity parameters includes an activity intensity parameter, an activity duration parameter, or an activity transition pattern including a change or a rate of change from a first activity level to a different second activity level.

2. The system of claim 1, wherein the plurality of activity levels includes two or more of a vigorous exercise, a moderate exercise, or a mild exercise or activities of daily living, and the physical activity analyzer circuit is configured to:

classify the physical activity as the vigorous exercise when the detected activity intensity parameter is within a first intensity zone and the activity duration parameter is within a first duration range;

or

classify the physical activity as the moderate exercise when the detected activity intensity parameter is within a second intensity zone and the activity duration parameter is within a second duration range;

wherein the first intensity zone includes activity intensity higher than that included in the second intensity zone, or the first duration range includes activity duration longer than that included in the second duration range.

3. The system of claim 1, wherein the plurality of activity levels includes two or more of a vigorous exercise, a moderate exercise, or a mild exercise or activities of daily living, and the physical activity analyzer circuit is configured to:

classify the physical activity as the vigorous exercise when the detected activity intensity parameter is within a first intensity zone, the activity duration parameter is within a first duration range, and the activity transition pattern includes a first rate of change of activity intensity;

or

classify the physical activity as the moderate exercise when the detected activity intensity parameter is within a second intensity zone, the activity duration parameter is within a second duration range, and the activity transition pattern includes a second rate of change of activity intensity;

wherein the first intensity zone includes activity intensity higher than that included in the second intensity zone, or the first duration range includes activity duration longer than that included in the second duration range, or the first rate of change is greater than the second rate of change.

4. The system of claim 1, comprising an activity categorizer circuit configured to categorize the detected one or more activity parameters into one of a plurality of activity bins;

wherein the physical activity analyzer circuit is configured to classify the physical activity using the categorization of the activity parameter and a bin-activity level association that corresponds the plurality of activity bins to one or more of the plurality of activity levels;

wherein an individual bin is characterized by a respective activity intensity zone and a respective activity duration range, a higher activity bin having higher activity intensity or longer activity duration than a lower activity bin.

5. The system of claim 4, wherein the physical activity information includes multiple activity episodes obtained during a specified period of time, and the activity categorizer circuit is further configured to:

generate an activity bin distribution using categorization of the multiple activity episodes, an individual bin including a bin count indicating number of activity episodes categorized into the respective bin; and

determine at least one characteristic feature from the activity bin distribution; and

wherein the physical activity analyzer circuit is configured to classify the physical activity using the at least one characteristic feature of the activity bin distribution.

6. The system of claim 5, wherein the activity categorizer circuit is configured to determine the at least one characteristic feature including a highest activity bin and a bin distribution pattern, the highest activity bin including an activity episode of highest activity intensity among the multiple activity episodes, the bin distribution pattern indicating a comparison of bin counts of the plurality of activity bins;

and

wherein the plurality of activity levels includes two or more of a vigorous exercise, a moderate exercise, or a mild exercise or activities of daily living, and the physical activity analyzer circuit is configured to;

classify the physical activity as the vigorous exercise when the highest activity bin exceeds a first bin threshold;

or

classify the physical activity as the moderate exercise when (1) the highest activity bin is between the first bin threshold and a second bin threshold lower than the first bin threshold, and (2) the bin distribution pattern indicates the highest activity bin preceded by a specified number of lower activity bins with respective bin count below a specified bin count threshold value.

7. The system of claim 1, comprising a physiologic signal receiver circuit configured to receive at least one physiologic signal obtained during the physical activity, the at least one physiologic signal including a respiratory signal or a cardiac hemodynamic signal,

wherein the physical activity analyzer circuit is configured to classify the physical activity using the one or more activity parameters and the at least one physiologic signal.

8. The system of claim 1, comprising an adjudication input circuit configured to receive adjudication or confirmation of the classified activity level, wherein the physical activity analyzer circuit is configured to classify the physical activity at least using the received adjudication.

9. The system of claim 1, comprising a heart failure (HF) detector circuit configured to determine an activity trend indicative of temporal variation of the classified activity level, and to detect a HF event indicative of worsening HF at least using the activity trend.

10. The system of claim 9, wherein the HF detector circuit is configured to operate in a first mode to detect the HF event in response to the physical activity being classified as a first activity level, but to operate in a different second mode to detect the HF event in response to the physical activity being classified as a second activity level more vigorous than the first activity level, wherein the HF detector, when operated in the first mode, has a higher sensitivity in detecting historical HF events than when operated in the second mode.

11. The system of claim 9, comprising a physiologic sensor circuit configured to sense at least one physiologic signal obtained during the physical activity, wherein the HF detector circuit is configured to detect the HF event using both the activity trend and the sensed physiologic signal.

12. The system of claim 1, comprising a heart failure (HF) stratifier circuit configured to determine an exercise frequency of the detected categorical activity level during a specified time, and to determine a likelihood indication of a future event of worsening HF, the likelihood indication inversely proportional to the exercise frequency.

13. The system of claim 1, comprising an output circuit configured to generate a human-perceptible presentation of information including the classified activity level and the detected one or more activity parameters.

14. A method for analyzing physical activity experienced by a patient using a medical apparatus, comprising:

receiving information of physical activity;

detecting one or more activity parameters using the physical activity information, the one or more activity parameters including an activity intensity parameter, an activity duration parameter, or an activity transition pattern including a change or a rate of change from a first activity level to a different second activity level; and

classifying the physical activity into one of a plurality of activity levels using the one or more activity parameters, the plurality of activity levels including two or more categorical activity levels.

15. The method of claim 14, wherein the plurality of activity levels includes two or more of a vigorous exercise, a moderate exercise, or a mild exercise or activities of daily living, and wherein classifying the physical activity includes:

classifying the physical activity as the vigorous exercise when the detected activity intensity parameter is within a first intensity zone, the activity duration parameter is within a first duration range, and the activity transition pattern includes a first rate of change of activity intensity meeting a specified criterion;

or

classifying the physical activity as the moderate exercise when the detected activity intensity parameter is within a second intensity zone, and the activity duration parameter is within a second duration range;

wherein the first intensity zone has higher intensity than the second intensity zone, and the first duration range has longer duration than the second duration range.

16. The method of claim 14, comprising:

categorizing the detected one or more activity parameters into one of a plurality of activity bins; and

providing an activity bin-activity level association that corresponds the plurality of activity bins to one or more of the plurality of activity levels;

wherein classifying the physical activity includes classifying the physical activity using the categorization of the activity parameter and the bin-activity level association; and

wherein an individual bin is characterized by a respective activity intensity zone and a respective activity duration range, a higher activity bin having higher activity intensity or longer activity duration than a lower activity bin.

17. The method of claim 16, comprising:

generating an activity bin distribution using categorization of multiple activity episodes obtained during a specified period of time, an individual bin including a bin count indicating number of activity episodes categorized into the respective bin; and

determining at least one characteristic feature from the activity bin distribution;

wherein classifying the physical activity includes classifying the physical activity using the at least one characteristic feature of the activity bin distribution.

18. The method of claim 14, comprising receiving at least one physiologic signal obtained during the physical activity, the at least one physiologic signal including a respiratory signal or a cardiac hemodynamic signal,

wherein classifying the physical activity includes classifying the physical activity using the one or more activity parameters and the at least one physiologic signal.

19. The method of claim 14, comprising determining an activity trend indicative of temporal variation of the classified activity level, and detecting a heart failure (HF) event indicative of worsening HF at least using the activity trend.

20. The method of claim 19, comprising receiving at least one physiologic signal obtained during the physical activity, wherein detecting the HF event includes detecting the HF event when the detected activity trend and the at least one physiologic signal meet respective criteria.