MULTIMODE SENSOR DEVICES
First Claim
1. A method of tracking a user'"'"'s physiological activity using a worn biometric monitoring device having one or more sensors providing sensor output data indicative of the user'"'"'s physiological activity, the method comprising:
- analyzing sensor output data provided by the worn biometric monitoring device to determine that the sensor output data has a relatively low signal-to-noise ratio (SNR) while the user is active;
collecting sensor output data for a duration sufficient to identify a periodic component of the collected sensor output data;
applying a frequency domain analysis to the collected sensor output data to process and/or identify the periodic component; and
determining a physiological metric of the user from the periodic component of the collected sensor output data.
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Accused Products
Abstract
The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type. The device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process or the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.
173 Citations
30 Claims
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1. A method of tracking a user'"'"'s physiological activity using a worn biometric monitoring device having one or more sensors providing sensor output data indicative of the user'"'"'s physiological activity, the method comprising:
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analyzing sensor output data provided by the worn biometric monitoring device to determine that the sensor output data has a relatively low signal-to-noise ratio (SNR) while the user is active; collecting sensor output data for a duration sufficient to identify a periodic component of the collected sensor output data; applying a frequency domain analysis to the collected sensor output data to process and/or identify the periodic component; and determining a physiological metric of the user from the periodic component of the collected sensor output data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method of tracking a user'"'"'s physiological activity using a worn biometric monitoring device having one or more sensors providing sensor output data indicative of the user'"'"'s physiological activity, the method comprising:
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(a) determining that the user is engaged in a first type of activity by detecting a first signature signal in a sensor output data, the first signature signal being selectively associated with the first type of activity; (b) quantifying a first physiological metric for the first type of activity from a first set of sensor output data; (c) determining that the user is engaged in a second type of activity by detecting a second signature signal in a subsequent sensor output data, the second signature signal being selectively associated with the second type of activity and different from the first signature signal; and (d) quantifying a second physiological metric for the second type of activity from a second set of sensor output data, wherein the first type of activity differs from the second type of activity. - View Dependent Claims (21, 22)
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23. A biometric monitoring device comprising:
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one or more sensors providing sensor output data comprising information about a user'"'"'s activity level when the biometric monitoring device is worn by the user; control logic configured to; analyze sensor output data provided by the biometric monitoring device to determine that the sensor output data has a relatively low signal-to-noise ratio (SNR) while the user is active; collect sensor output data for a duration sufficient to identify a periodic component of the collected sensor output data; apply a frequency domain analysis to the collected sensor output data to process and/or identify the periodic component; determine a physiological metric of the user from the periodic component of the collected sensor output data, and present the metric of the user'"'"'s physiological activity. - View Dependent Claims (24, 25, 26)
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27. A biometric monitoring device comprising:
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one or more sensors providing sensor output data comprising information about a user'"'"'s activity level when the biometric monitoring device is worn by the user; control logic configured to; (a) determine that the user is engaged in a first type of activity by detecting a first signature signal in a sensor output data, the first signature signal being selectively associated with the first type of activity; (b) quantify a first physiological metric for the first type of activity from a first set of sensor output data; (c) determine that the user is engaged in a second type of activity by detecting a second signature signal in a subsequent sensor output data, the second signature signal being selectively associated with the second type of activity and different from the first signature signal; and (d) quantify a second physiological metric for the second type of activity from a second set of sensor output data, wherein the first type of activity differs from the second type of activity. - View Dependent Claims (28, 29, 30)
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Specification