Determination of pulse rate recovery

• US 9,968,270 B1
• Filed: 01/06/2016
• Issued: 05/15/2018
• Est. Priority Date: 01/06/2016
• Status: Active Grant

• Current Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Original Assignee: Verily Life Sciences LLC (Alphabet Inc.)
• Inventors: Murphy, Mark, Stephens, Philip John
• Primary Examiner(s): Heller, Tammie K
• Application Number:
  US14/989,564
• Time in Patent Office: 860 Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• 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 5/02427 Details of sensor
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: G16H 40/63 for local operation

Abstract

Example embodiments assess cardiovascular health by receiving, from at least one monitoring device, pulse rate data from a subject. The pulse rate data includes pulse rate measurements and corresponding measurement timestamps. The embodiments select, with at least one processor, a plurality of recovery periods in the pulse rate data. Each recovery period corresponds to a respective decrease in pulse rate from a respective upper pulse rate to a respective lower pulse rate. The respective upper pulse rate is less than a peak pulse rate of the subject or the respective lower pulse rate is greater than a resting pulse rate of the subject. The embodiments determine, with the at least one processor, an exponential decay from the plurality of selected recovery periods. The exponential decay characterizes a pulse rate recovery for the subject. The embodiments provide, via a user interface, the pulse rate recovery based on the exponential decay.

Claims

1. A system for assessing cardiovascular health, comprising:

one or more monitoring devices configured to collect pulse rate data from a subject, the pulse rate data including pulse rate measurements and corresponding measurement timestamps, each of the one or more monitoring devices including a first communication interface; and

a controller including;

one or more second communication interfaces, each second communication interface configured to be communicatively coupled to at least one of the one or more monitoring devices via the corresponding first communication interfaces and to receive the corresponding pulse rate data from the at least one of the one or more monitoring devices;

at least one data storage device configured to store the pulse rate data on the at least one data storage device; and

at least one processor configured to;

(a) select a plurality of recovery periods in the pulse rate data, each recovery period corresponding to a respective decrease in pulse rate from a respective upper pulse rate to a respective lower pulse rate, wherein the respective upper pulse rate is less than a peak pulse rate of the subject or the respective lower pulse rate is greater than a resting pulse rate of the subject;

(b) determine an exponential decay from the plurality of selected recovery periods, the exponential decay characterizing a pulse rate recovery for the subject; and

(c) provide, via a user interface, the pulse rate recovery for the subject based on the exponential decay.

2. The system of claim 1, wherein the at least one processor is further configured to determine if the respective upper pulse rate of a given recovery period is greater than a pulse rate threshold, the pulse rate threshold indicating a minimum level of physical exertion by the subject, and

in response to the respective upper pulse rate of the given recovery period being greater than the pulse rate threshold, the at least one processor selects the given recovery period to determine the exponential decay.

3. The system of claim 1, wherein the at least one processor is further configured to determine if the respective decrease in pulse rate for a given recovery period is greater than a difference threshold, the difference threshold indicating a minimum level of recovery by the subject after physical exertion, and

in response to the respective decrease in pulse rate of the given recovery period being greater than the difference threshold, the at least one processor selects the given recovery period to determine the exponential decay.

4. The system of claim 1, wherein the at least one processor is further configured to at least one of resample the pulse rate data to account for variations in sampling rate, or apply a smoothing function or a filter to the pulse rate data.

5. The system of claim 1, wherein each selected recovery period RP_i is characterized by the respective upper pulse rate the respective lower pulse and the respective decrease in pulse rate δ

_i, and

the at least one processor determines the exponential decay by solving for the exponential time constant τ

in (μ

−

l)*τ

=−

δ

_i with (m_i, n_i, δ

_i) for each selected recovery period RP_i, where μ

=log((m_i−

N′

)/(M′

−

N′

)), and l=log((n_i−

N′

)/(M′

−

N′

)), M′

being a maximum of the upper pulse rates m_i, and N′

being a minimum of the lower pulse rates n_i.

6. The system of claim 1, wherein the one or more monitoring devices includes an electrocardiography (ECG) sensor or a photoplethysmography (PPG) sensor.

7. A method for assessing cardiovascular health, comprising:

receiving, from one or more monitoring devices, pulse rate data from a subject, the pulse rate data including pulse rate measurements and corresponding measurement timestamps;

storing the pulse rate data on at least one data storage device;

selecting, with at least one processor, a plurality of recovery periods in the pulse rate data, each recovery period corresponding to a respective decrease in pulse rate from a respective upper pulse rate to a respective lower pulse rate, wherein the respective upper pulse rate is less than a peak pulse rate of the subject or the respective lower pulse rate is greater than a resting pulse rate of the subject;

determining, with the at least one processor, an exponential decay from the plurality of selected recovery periods, the exponential decay characterizing a pulse rate recovery for the subject; and

providing, via a user interface, the pulse rate recovery for the subject based on the exponential decay.

8. The method of claim 7, further comprising determining, with the at least one processor, if the respective upper pulse rate of a given recovery period is greater than a pulse rate threshold, the pulse rate threshold indicating a minimum level of physical exertion by the subject,

wherein the at least one processor selects the given recovery period to determine the exponential decay in response to the respective upper pulse rate of the given recovery period being greater than the pulse rate threshold.

9. The method of claim 7, further comprising determining, with the at least one processor, if the respective decrease in pulse rate for a given recovery period is greater than a difference threshold, the difference threshold indicating a minimum level of recovery by the subject after physical exertion,

wherein the at least one processor selects the given recovery period to determine the exponential decay in response to the respective decrease in pulse rate of the given recovery period being greater than the difference threshold.

10. The method of claim 7, wherein determining the exponential decay from the plurality of selected recovery periods includes weighting each selected recovery period according to at least one of the respective upper pulse rate, the respective lower pulse rate, and the respective decrease in pulse rate.

11. The method of claim 7, further comprising at least one of:

resampling, with the at least one processor, the pulse rate data to account for variations in sampling rate, or

applying a smoothing function or a filter to the pulse rate data.

12. The method of claim 7, wherein each selected recovery period RP_i is characterized by the respective upper pulse rate m_i, the respective lower pulse rate n_i, and the respective decrease in pulse rate δ

_i, and

the at least one processor determines the exponential decay by solving for the exponential time constant τ

in (μ

−

l)*τ

=−

δ

_i with (m_i, n_i, δ

_i) for each selected recovery period RP_i, where μ

=log((m_i−

N′

)/(M′

−

N′

)), and l=log((n_i−

N′

)/(M′

−

N′

)), M′

being a maximum of the upper pulse rates m_i, and N′

being a minimum of the lower pulse rates n_i.

13. A method for assessing cardiovascular health, comprising:

receiving, from at least one monitoring device, more than one set of pulse rate data from a subject, each set of pulse rate data collected during a respective data collection period and including pulse rate measurements and corresponding measurement timestamps;

selecting, with at least one processor, a set of recovery periods from each set of pulse rate data, each recovery period corresponding to a respective decrease in pulse rate from a respective upper pulse rate to a respective lower pulse rate, wherein the respective upper pulse rate is less than a peak pulse rate of the subject or the respective lower pulse rate is greater than a resting pulse rate of the subject;

determining, with the at least one processor, an exponential decay from each set of selected recovery periods, each exponential decay characterizing a pulse rate recovery for the subject for the respective data collection period; and

providing, via a user interface, a comparison of the pulse rate recoveries from the data collection periods based on the exponential decays.

14. The method of claim 13, further comprising determining, with the at least one processor, if the respective upper pulse rate of a given recovery period is greater than a first pulse rate threshold, the first pulse rate threshold indicating a first minimum level of physical exertion by the subject,

wherein the at least one processor selects the given recovery period to determine the exponential decay for the respective data collection period, in response to the respective upper pulse rate of the given recovery period being greater than the pulse rate threshold.

15. The method of claim 14, further comprising:

in response to the comparison of the pulse rate recoveries, determining, with the at least one processor, a second pulse rate threshold, the second pulse rate threshold indicating a second minimum level of physical exertion by the subject;

receiving, from the at least one monitoring device, an additional set of pulse rate data from the subject collected during an additional data collection period, the additional set of pulse rate data including additional pulse rate measurements and corresponding measurement timestamps;

selecting, with the at least one processor, an additional set of recovery periods from the additional set of pulse rate data, wherein the at least one processor;

(a) determines if the respective upper pulse rate of a given recovery period in the additional set of pulse rate data is greater than a second pulse rate threshold, and

(b) selects the given recovery period from the additional set of pulse rate data in response to the respective upper pulse rate being greater than the second pulse rate threshold;

determining, with the at least one processor, an additional exponential decay from the additional set of selected recovery periods; and

providing, via a user interface, an additional pulse rate recovery for the subject based on the additional exponential decay.

16. The method of claim 13, further comprising determining, with the at least one processor, if the respective decrease in pulse rate of a given recovery period is greater than a first difference threshold, the first difference threshold indicating a first minimum level of recovery by the subject after physical exertion,

wherein the at least one processor selects the given recovery period to determine the exponential decay for the respective data collection period, in response to the respective decrease in pulse rate of the given recovery period being greater than the first difference threshold.

17. The method of claim 16, further comprising:

in response to the comparison of the pulse rate recoveries, determining, with the at least one processor, an additional data collection period;

receiving, from the at least one monitoring device, an additional set of pulse rate data from the subject collected during the additional data collection period, the additional set of pulse rate data including additional pulse rate measurements and corresponding measurement timestamps;

selecting, with the at least one processor, an additional set of recovery periods from the additional set of pulse rate data, wherein the at least one processor;

(a) determines if the respective decrease in pulse rate of a given recovery period in the additional set of pulse rate data is greater than a second difference threshold, and

(b) selects the given recovery period from the additional set of pulse rate data in response to the respective decrease in pulse rate being greater than the second difference threshold;

determining, with the at least one processor, an additional exponential decay from the additional set of selected recovery periods; and

providing, via a user interface, an additional pulse rate recovery for the subject based on the additional exponential decay.

18. The method of claim 13, wherein the respective data collection periods extend over a substantially similar first length of time.

19. The method of claim 18, further comprising:

in response to the comparison of the pulse rate recoveries, determining, with the at least one processor, an additional data collection period extending over a second length of time that is different from the first length of time;

receiving, from the at least one monitoring device, an additional set of pulse rate data from the subject collected during the additional data collection period, the additional set of pulse rate data including additional pulse rate measurements and corresponding measurement timestamps;

selecting, with the at least one processor, an additional set of recovery periods from the additional set of pulse rate data;

determining, with the at least one processor, an additional exponential decay from the additional set of selected recovery periods; and

providing, via a user interface, an additional pulse rate recovery for the subject based on the additional exponential decay.

20. The method of claim 13, wherein each selected recovery period RP_i is characterized by the respective upper pulse rate m_i, the respective lower pulse n_i, and the respective decrease in pulse rate δ

_i, and

the at least one processor determines the exponential decay for each data collection period by solving for the exponential time constant τ

in (μ

−

l)*τ

=−

δ

_i with (m_i, n_i, δ

_i) for each selected recovery period RP_i in the corresponding data collection period, where μ

=log((m_i−

N′

)/(M′

−

N′

)), and l=log((n_i−

N′

)/(M′

−

N′

)), M′

being a maximum of the upper pulse rates m_i, and N′

being a minimum of the lower pulse rates n_i.