Wearable monitoring device

US2018116607A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018116607-A1
Application numberUS-201715728140-A
CountryUS
Kind codeA1
Filing dateOct 9, 2017
Priority dateOct 28, 2016
Publication dateMay 3, 2018
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system, method, and device for monitoring a physiological characteristic and/or response of a user includes a wearable monitoring device for displaying a status level of a physiological characteristic and/or response. When attached to or against the user's body, the wearable monitoring device includes an optical signal assembly configured to generate an optical signal based on a reflection or transmission of light from a detected travel of blood and/or pulse wave of the user and received by one or more sensors disposed along the user's extremity. A processor calculates the physiological characteristic and/or response, for example, heart-rate, heart-rate variability, blood pressure, stress intensity level, or energy level of the user, based on the generated signal from the sensor and user data.

First claim

Opening claim text (preview).

What is claimed: 1 . A wearable monitoring device capable of being attached to a user and determining a stress intensity level of the user, the device comprising: a display; a photoplethysmograph (PPG) signal assembly coupled to a memory and configured to generate a PPG signal based on a reflection or transmission of light received from the user's body; a memory configured to store the PPG signal for a first period of time; a processor coupled to the display and the memory, the processor configured to: determine a first time interval between a first heart-beat and a second heart-beat of the stored PPG signal for the first period of time; determine a second time interval between the second heart-beat and a third heart-beat of the stored PPG signal for the first period of time; determine a heart-rate variability value associated with the first period of time based on the determined first and second time intervals; calculate a stress intensity level based on the determined heart-rate variability value; and control the display to present the calculated stress intensity level. 2 . The wearable monitoring device of claim 1 , wherein the PPG signal assembly comprises a light-emitting diode (LED) and a photodiode positioned proximate the LED, wherein the LED is configured to output light into the user's body, and wherein the photodiode is configured to generate the PPG signal based on a reflection or transmission of the outputted light from the user's body. 3 . The wearable monitoring device of claim 1 , wherein the processor further configured to determine a heart rate of the user based on the stored PPG signal and calculate the stress intensity level of the user based on the determined heart rate of the user. 4 . The wearable monitoring device of claim 1 , wherein the display of the calculated stress intensity level includes a textual indicator, a numerical indicator, and/or a graphical indicator. 5 . The wearable monitoring device of claim 1 , wherein the processor further configured to calculate a trend of the calculated stress intensity level. 6 . The wearable monitoring device of claim 5 , wherein the display includes a trend indicator associated with the calculated trend of the calculated stress intensity level. 7 . The wearable monitoring device of claim 1 , wherein the memory is further configured to store a plurality of stress level zones, and wherein processor is further configured to: determine whether the calculated stress intensity level is transitioning from a first stress level zone to a second stress level zone, and control the display to present an alert. 8 . The wearable monitoring device of claim 1 , wherein the memory is further configured to store a plurality of calculated stress intensity levels, and wherein processor is further configured to: determine an average value and a standard deviation for the stored stress intensity levels, determine the triggering threshold based on the average value and the standard deviation, determine whether a calculated stress intensity level exceeds the triggering level, and control the display to present an alert. 9 . The wearable monitoring device of claim 1 , further comprising: a housing at least partially containing the PPG signal assembly, the processor, the display, and the memory; and a movement sensor at least partially contained by the housing and coupled to the PPG signal assembly, the movement sensor configured to detect movement of the housing, wherein the processor is further configured to control the display to cease presentation of the calculated stress intensity level once the detected movement exceeds a threshold level stored in the memory. 10 . The wearable monitoring device of claim 1 , further comprising a vibrating element, wherein the processor is further configured to control the vibrating element to output an alert based on the calculated stress intensity level. 11 . The wearable monitoring device of claim 1 , wherein the memory is further configured to store a data structure correlating the stress intensity level and the determined heart-rate variability of the user. 12 . The wearable monitoring device of claim 1 , wherein the memory is further configured to store the PPG signal for a second period of time, and wherein the processor is further configured to: determine a first time interval between a first heart beat and a second heartbeat of the stored PPG signal for the second period of time; determine a second time interval between the second beat and a third heartbeat of the stored PPG signal for the second period of time; determine heart-rate variability value associated with the second period of time based on the determined first and second time intervals for the second period of time; calculate a stress level intensity based on the determined heart-rate variability value associated with the second period of time. 13 . The wearable monitoring device of claim 12 , wherein the processor is further configured to: calculate a trend of stress intensity level of the user based on a comparison of the calculated stress intensity level associated with the first period of time and the calculated stress intensity level associated with the second period of time; and control the display to present the calculated trend of stress intensity level. 14 . The wearable monitoring device of claim 12 , wherein the processor is further configured to: calculate an energy level of the user based on a comparison of the calculated stress intensity level associated with the first period of time and the calculated stress intensity level associated with the second period of time, and movement of the user during the first and second time periods; and control the display to present the calculated energy level of the user. 15 . A wearable monitoring device capable of being attached to a user and determining a stress intensity level of the user, the device comprising: a display; a photoplethysmograph (PPG) signal assembly coupled to a memory and the display, the PPG signal assembly configured to generate a PPG signal based on a reflection or transmission of light received from the user's body, the PPG signal assembly including: a photodiode and a light-emitting diode (LED), wherein the LED configured to output light into the user's extremity, wherein the photodiode positioned proximate the LED and configured to detect a pulse wave of the user based on the reflection or transmission of the light from the user's body and generate the PPG signal; a memory configured to store the PPG signal for a first period of time; a processor coupled to the display and the memory, the processor configured to: determine a first time interval between a first heart-beat and a second heart-beat of the stored PPG signal for the first period of time; determine a second time interval between the second heart-beat and a third heart-beat of the stored PPG signal for the first period of time; determine a heart-rate variability value associated with the first period of time based on the determined first and second time intervals; calculate a stress intensity level based on the determined heart-rate variability value; and control the display to present the calculated stress intensity level. 16 . The wearable monitoring device of claim 15 , wherein the processor further configured to determine a heart rate of the user based on the stored PPG signal and calculate the stress intensity level of the user based on the determined heart rate of the user. 17 . The wearable monitoring de

Assignees

Inventors

Classifications

  • Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms · CPC title

  • using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

  • Details of sensor · CPC title

  • A61B5/681Primary

    Wristwatch-type devices · CPC title

  • A61B5/7278Primary

    Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title

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What does patent US2018116607A1 cover?
A system, method, and device for monitoring a physiological characteristic and/or response of a user includes a wearable monitoring device for displaying a status level of a physiological characteristic and/or response. When attached to or against the user's body, the wearable monitoring device includes an optical signal assembly configured to generate an optical signal based on a reflection or…
Who is the assignee on this patent?
Garmin Switzerland Gmbh
What technology area does this patent fall under?
Primary CPC classification A61B5/681. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu May 03 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).