View source for Apple inc. (20240130688). Detecting Conditions Using Heart Rate Sensors simplified abstract

=Detecting Conditions Using Heart Rate Sensors=


==Organization Name==

[[:Category:apple inc.|apple inc.]]


[[Category:apple inc.]]

==Inventor(s)==

[[:Category:Stephen J. Waydo of Saratoga CA (US)|Stephen J. Waydo of Saratoga CA (US)]][[Category:Stephen J. Waydo of Saratoga CA (US)]]

[[:Category:Christopher J. Brouse of Saratoga CA (US)|Christopher J. Brouse of Saratoga CA (US)]][[Category:Christopher J. Brouse of Saratoga CA (US)]]

[[:Category:Ian R. Shapiro of San Francisco CA (US)|Ian R. Shapiro of San Francisco CA (US)]][[Category:Ian R. Shapiro of San Francisco CA (US)]]

[[:Category:Joseph C. Mcbride of San Jose CA (US)|Joseph C. Mcbride of San Jose CA (US)]][[Category:Joseph C. Mcbride of San Jose CA (US)]]

[[:Category:Michael O'reilly of San Jose CA (US)|Michael O'reilly of San Jose CA (US)]][[Category:Michael O'reilly of San Jose CA (US)]]

[[:Category:Myra Mary Haggerty of San Mateo CA (US)|Myra Mary Haggerty of San Mateo CA (US)]][[Category:Myra Mary Haggerty of San Mateo CA (US)]]

==Detecting Conditions Using Heart Rate Sensors - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240130688 titled 'Detecting Conditions Using Heart Rate Sensors

==Simplified Explanation==

The patent application relates to methods for measuring irregularities in a signal using a PPG sensor unit and motion sensors. The device can detect occurrences of events in the signal and adjust measurements based on motion levels to enhance accuracy.

* PPG sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval.
* Motion sensors to detect whether the device is in a low-motion state and delay measurements accordingly.
* Resetting the sample procedure based on factors like the number of non-qualifying measurements.
* Performing both primary and secondary measurements using different operating conditions.

== Potential Applications ==
This technology could be used in various fields such as healthcare for monitoring vital signs, sports performance analysis, and industrial applications for quality control.

== Problems Solved ==
This technology addresses the issue of inaccurate measurements caused by motion interference, ensuring more precise and reliable data collection.

== Benefits ==
The benefits of this technology include improved measurement accuracy, enhanced data quality, and increased efficiency in data collection processes.

== Potential Commercial Applications ==
Potential commercial applications of this technology include wearable health monitoring devices, sports performance trackers, and quality control systems in manufacturing.

== Possible Prior Art ==
One possible prior art could be the use of motion sensors in wearable devices to track physical activity levels and adjust measurements accordingly.

=== Unanswered Questions ===

=== How does this technology compare to existing methods for signal measurement accuracy in terms of cost-effectiveness? ===
This article does not provide information on the cost-effectiveness of implementing this technology compared to other methods.

=== What are the potential limitations or drawbacks of using motion sensors in signal measurement devices? ===
The article does not address any potential limitations or drawbacks of incorporating motion sensors into signal measurement devices.


==Original Abstract Submitted==

this relates to methods for measuring irregularities in a signal and corresponding devices. the devices can include a ppg sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval. in some instances, the device can register the occurrences of the events. in some examples, the device can include one or more motion sensors configured to detect whether the device is in a low-motion state. the device may delay initiating measurements when the device is not in a low-motion state to enhance measurement accuracy. examples of the disclosure further include resetting the sample procedure based on one or more factors such as the number of non-qualifying measurements. in some examples, the device can be configured to perform both primary and secondary measurements, where the primary measurements can include readings using a set of operating conditions different from the secondary measurements.



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