US 10,420,486 B1Granted

Promoting positive activity patterns

AssigneeCerner Innovation, Inc.

InventorDouglas S. McNair

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Abstract

Methods, computer systems, and computer readable media are provided for promoting positive activity patterns for users and facilitate long-term adherence to the activity patterns, such as by providing alerts or electronic reminders to ambulate in a fashion that is responsive to an individual's actual activity patterns and behaviors and compatible with routine activities in the workplace and home. In particular, embodiments of the present invention are directed to (1) measuring physical activity patterns during the waking hours of a human, and in some embodiments continuously measuring these activity patterns; (2) automatically ascertaining whether the patterns exhibit sufficient frequency and variability of activity such as confers certain health benefits; and (3) if the patterns do not manifest such features, to adaptively provide sensible reminders at irregular within-day intervals such as are likely to establish healthy patterns of ambulation and other light activity.

Claims19

Dependent claims

Non-transitory computer-readable media having computer-executable instructions embodied thereon, that, when executed by one or more processors, implement a method of generating and providing adaptive activity reminders to a user, via a user device, for promoting positive activity patterns for the user, the method comprising:

receiving on a computing device a first set of user-motion information over a first time interval, the first set of user-motion information determined from one or more sensors positioned at one or more locations on the user, wherein the first set of user-motion information includes user-motion measurements obtained over the first time interval which correspond to a first ambulation for the user during the first time interval;
calculating a first entropy for an amount of variation in the first ambulation based on the user-motion measurements, wherein the first entropy is a quantitative measure of the amount of variation for the first ambulation for the user during the first time interval;
specifying a target entropy threshold amount of ambulation variation;
comparing, in a first comparison, the target entropy threshold to the first entropy of the first ambulation during the first time interval;
based on the first comparison, determining whether the first entropy of the first ambulation is less than the target entropy threshold;
when the first entropy of the first ambulation is less than the target entropy threshold, then generating a pseudorandom value;
based on the generated pseudorandom value, determining a pseudorandom interval;
and
at the pseudorandom interval, generating an activity reminder and presenting the activity reminder by way of a user interface on the user device, wherein the presented activity reminder prompts the user to perform a physical activity that increases an entropy level of user activity.

6 more elements

A monitoring device that provides adaptive activity reminders for promoting positive activity patterns for a user, comprising:

a user interface;
one or more computing devices that:
(1) receive a first set of user-motion information over a first time interval, the first set of user-motion information determined from one or more sensor circuits, wherein the first set of user-motion information includes user-motion measurements obtained over the first time interval which correspond to a first ambulation for the user during the first time interval;
(2) calculate a first entropy for a first activity pattern based on the user-motion measurements, wherein the first entropy is a quantitative measure of the amount of variation in a level of activity for the first activity pattern for the user during the first time interval;
(3) specify a target entropy threshold amount of variation;
(4) compare, in a first comparison, the target entropy threshold to the first entropy of the first activity pattern during the first time interval;
(5) based on the first comparison, determine whether the first entropy of the first activity pattern is less than the target entropy threshold;
(6) when the first entropy of the first activity pattern is less than the target entropy threshold, then generate a pseudorandom value;
(7) based on the generated pseudorandom value, determine a pseudorandom interval;
and
(8) at the pseudorandom interval, generate an activity reminder and present the activity reminder by way of the user interface, wherein the presented activity reminder prompts the user to perform a physical activity associated with a positive activity pattern.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 13/751,961Filed 28 Jan 2013 · us provisional application
Priority: 27 Jan 2012
Granted: 24 Sep 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification22 codes

A61B 5/1118
Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb: determining activity level
A61B 5/746
Details of notification to user or communication with user or patient; User input means: alarms related to a physiological condition, e.g. details…
A61B 5/002
Characterised by features of the telemetry system: monitoring the patient using a local or closed circuit, e.g. in a room or building
A61B 5/1113
Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb: local tracking of patients, e.g. in a…