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 output data indicative of the user'"'"'s physiological activity, the method comprising:
- (a) analyzing a sensor output data provided by the worn biometric monitoring device to determine that the user is engaged in a first activity that produces a relatively high signal-to-noise ratio (SNR) in the sensor output data;
(b) quantifying a physiological metric by analyzing a first set of sensor output data in a time domain;
(c) analyzing a subsequent sensor output data provided by the worn biometric monitoring device to determine that the user is engaged in a second activity that produces a relatively low SNR in the subsequent sensor output data; and
(d) quantifying the physiological metric from a periodic component of a second set of sensor output data by processing the second set of sensor output data using a frequency domain analysis,wherein the quantifying in (d) requires more computation per unit of the physiological metric than the quantifying in (b).
1 Assignment
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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 and 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.
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Citations
23 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 output data indicative of the user'"'"'s physiological activity, the method comprising:
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(a) analyzing a sensor output data provided by the worn biometric monitoring device to determine that the user is engaged in a first activity that produces a relatively high signal-to-noise ratio (SNR) in the sensor output data; (b) quantifying a physiological metric by analyzing a first set of sensor output data in a time domain; (c) analyzing a subsequent sensor output data provided by the worn biometric monitoring device to determine that the user is engaged in a second activity that produces a relatively low SNR in the subsequent sensor output data; and (d) quantifying the physiological metric from a periodic component of a second set of sensor output data by processing the second set of sensor output data using a frequency domain analysis, wherein the quantifying in (d) requires more computation per unit of the physiological metric than the quantifying in (b). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A method of tracking a user'"'"'s physiological activity using a worn biometric monitoring device having one or more sensors providing output data indicative of the user'"'"'s physiological activity, the method comprising:
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(a) analyzing a sensor output data to characterize the sensor output data as indicative of a first activity associated with a relatively high signal level or indicative of a second activity associated with a relatively low signal level; (b) processing the sensor output data indicative of the first activity to produce a first value of a physiological metric; and (c) processing the sensor output data indicative of the second activity to produce a second value of the physiological metric, wherein the processing in (b) requires more computation per unit of the physiological metric than the processing in (c).
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20. A biometric monitoring device comprising:
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one or more sensors providing output data comprising information about a user'"'"'s activity level when the biometric monitoring device is worn by the user; a control logic configured for; (a) analyzing a sensor output data provided by the biometric monitoring device to determine that the user is engaged in a first activity that produces a relatively high SNR in the sensor output data; (b) quantifying a physiological metric by analyzing a first set of sensor output data in a time domain; (c) analyzing a subsequent sensor output data provided by the biometric monitoring device to determine that the user is engaged in a second activity that produces a relatively low SNR in the subsequent sensor output data; and (d) quantifying the physiological metric from a periodic component of a second set of sensor output data by processing the second set of sensor output data using a frequency domain analysis, wherein the quantifying in (d) requires more computation per unit of the physiological metric than the quantifying in (b). - View Dependent Claims (21, 22)
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23. A biometric monitoring device comprising:
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one or more sensors providing output data comprising information about a user'"'"'s activity level when the biometric monitoring device is worn by the user; a control logic configured to; (a) analyze a sensor output data to characterize the sensor output data as indicative of a first activity associated with a relatively high signal level or indicative of a second activity associated with a relatively low signal level; (b) process the sensor output data indicative of the first activity to produce a first value of a physiological metric; and (c) process the sensor output data indicative of the second activity to produce a second value of the physiological metric. wherein the processing in (b) requires more computation per unit of the physiological metric than the processing in (c).
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Specification