Activity monitoring device with assessment of exercise intensity

• US 10,182,722 B2
• Filed: 05/27/2016
• Issued: 01/22/2019
• Est. Priority Date: 04/15/2015
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Kirby, Brett S., Wilkins, Bradley W., Clark, David, Bradley, Eric, Besemer, Elizabeth
• Primary Examiner(s): Dougherty, Sean
• Assistant Examiner(s): Kolderman, Nicholas E
• Application Number:
  US15/166,889
• Publication Number:
  US 20160346615A1
• Time in Patent Office: 970 Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/0008 Temperature signals
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• 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 5/103 Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes A61B5/08 takes precedence; measuring aids for tailors A41H1/00; measuring instruments specially adapted for dentistry A61C19/04
• 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 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/224 Measuring muscular strength
• CPC Class Codes: A61B 5/443 Evaluating skin constituents, e.g. elastin, melanin, water
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A63B 2024/0065 : Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2024/0068 : Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2220/20 : Distances or displacements
• CPC Class Codes: A63B 2220/30 : Speed
• CPC Class Codes: A63B 2220/40 : Acceleration
• CPC Class Codes: A63B 2220/836 : Sensors arranged on the body of the user
• CPC Class Codes: A63B 2230/01 : User's weight
• CPC Class Codes: A63B 24/0062 : Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G09B 7/00 : Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: G16H 10/20 : for electronic clinical trials or questionnaires
• 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

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Claims

1. An apparatus configured to be worn on an appendage of a user, comprising:

a processor;

a sensor;

an interface; and

a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least;

receiving, from the sensor, a data point associated with the user indicative of an athletic performance distance, d, and athletic performance time, t;

calculating a critical velocity fraction, CV_fraction, based on the athletic performance time and activity type;

calculating an average velocity for the user as the athletic performance distance divided by the time;

calculating a critical velocity for the user equal to the average velocity divided by the critical velocity fraction; and

outputting the calculated critical velocity to the interface,

wherein the CV_fraction=1.8677*t<sup>−

0.082</sup> for the activity type corresponding to running.

2. The apparatus of claim 1, wherein the computer-executable instructions, when executed by the processor, further cause the apparatus to:

calculate a distance traveled below the critical velocity as the average velocity multiplied by the athletic performance time; and

calculate an anaerobic work capacity equal to the athletic performance distance minus the distance traveled below the critical velocity.

3. An apparatus configured to be worn on an appendage of a user, comprising:

a processor;

a sensor;

an interface; and

a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least;

receiving, from the sensor, a data point associated with the user indicative of an athletic performance distance, d, and athletic performance time, t;

calculating a critical velocity fraction, CV_fraction, based on the athletic performance distance and activity type;

calculating an average velocity for the user as the athletic performance distance divided by the time;

calculating a critical velocity for the user equal to the average velocity divided by the critical velocity fraction; and

outputting the calculated critical velocity to the interface,

wherein the CV_fraction=2.2398*d<sup>−

0.09</sup> for the activity type corresponding to running.

4. An apparatus configured to be worn on an appendage of a user, comprising:

a processor;

a sensor;

an interface; and

a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least;

receiving, from the sensor, a data point associated with the user indicative of an athletic performance power, p, and athletic performance time, t;

calculating a critical power fraction, CP_fraction, fraction, based on the athletic performance time and activity type;

calculating an average power for the user as the athletic performance power divided by the time;

calculating a critical power for the user equal to the average power divided by the critical power fraction; and

outputting the calculated critical power to the interface,

wherein the CP_fraction=1.9199*t<sup>−

0.088</sup> for the activity type corresponding to cycling.

5. An apparatus configured to be worn on an appendage of a user, comprising:

a processor;

a sensor;

an interface; and

a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to perform at least;

receiving, from the sensor, a data point from a user indicative of an athletic performance power, p, and athletic performance time, t;

calculating a critical power fraction, CP_fraction, fraction, based on the athletic performance power and activity type;

calculating an average power for the user as the athletic performance power divided by the time;

calculating a critical power for the user equal to the average power divided by the critical power fraction; and

outputting the calculated critical power to the interface,

wherein the CP_fraction=3.0889*p<sup>−

0.086</sup> for the activity type corresponding to cycling.