View source for Apple inc. (20240122540). Systems and Methods of Spatial Filtering for Measuring Electrical Signals simplified abstract

=Systems and Methods of Spatial Filtering for Measuring Electrical Signals=


==Organization Name==

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


[[Category:apple inc.]]

==Inventor(s)==

[[:Category:Johannes Anne Bruinsma of Drachten (NL)|Johannes Anne Bruinsma of Drachten (NL)]][[Category:Johannes Anne Bruinsma of Drachten (NL)]]

[[:Category:Emo H. Klaassen of Los Altos CA (US)|Emo H. Klaassen of Los Altos CA (US)]][[Category:Emo H. Klaassen of Los Altos CA (US)]]

[[:Category:Paras Samsukha of San Jose CA (US)|Paras Samsukha of San Jose CA (US)]][[Category:Paras Samsukha of San Jose CA (US)]]

[[:Category:Xiaoyu Guo of Santa Clara CA (US)|Xiaoyu Guo of Santa Clara CA (US)]][[Category:Xiaoyu Guo of Santa Clara CA (US)]]

==Systems and Methods of Spatial Filtering for Measuring Electrical Signals - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240122540 titled 'Systems and Methods of Spatial Filtering for Measuring Electrical Signals

==Simplified Explanation==

The patent application describes devices and methods for acquiring and spatially filtering ECG signals using a mobile or wearable device with an electrode array.

* The device includes an array of electrodes, reference electrodes, and a controller.
* One variation has reference electrodes on a wrist-worn device and the electrode array on an accessory device.
* Spatial filtering methods involve excluding noisy electrodes or including only low-noise electrodes in further analyses.

== Potential Applications ==
This technology could be used in healthcare for monitoring heart health, in fitness tracking devices, and in stress management tools.

== Problems Solved ==
This technology helps improve the accuracy of ECG signal measurements by filtering out noise, leading to more reliable data for analysis and diagnosis.

== Benefits ==
The benefits of this technology include more accurate ECG signal measurements, improved data quality for healthcare professionals, and enhanced user experience in wearable devices.

== Potential Commercial Applications ==
This technology could be applied in medical devices, fitness trackers, smartwatches, and other wearable technologies for health monitoring and diagnostics.

== Possible Prior Art ==
One possible prior art could be the use of ECG electrodes in medical devices for monitoring heart activity. Another could be the use of noise filtering techniques in signal processing applications.

=== Unanswered Questions ===

== How does this technology compare to traditional ECG monitoring methods? ==
This article does not provide a direct comparison between this technology and traditional ECG monitoring methods. It would be interesting to know the differences in accuracy, ease of use, and cost between the two approaches.

== What are the potential limitations of using a mobile or wearable device for ECG signal acquisition? ==
The article does not address any potential limitations of using a mobile or wearable device for ECG signal acquisition. It would be important to understand factors such as signal quality, battery life, and user comfort in long-term use.


==Original Abstract Submitted==

disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ecg signals from an electrode array. one variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. in one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. one variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ecg signals from those electrodes from further analyses. in another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ecg signals from those electrodes in further analyses.



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