Advanced Spatial Filtering for Enhanced Electrical Signal Measurement

Publication ID: 24-11857341_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Spatial Filtering for Enhanced Electrical Signal Measurement,” Published Technical Disclosure No. 24-11857341_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857341_0001_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,341.

Summary of the Inventive Concept

An innovative system and method for measuring electrical signals, such as ECG waveforms, using a wearable device with dynamically adjusted measurement electrodes and advanced noise reduction techniques to improve signal quality and accuracy.

Background and Problem Solved

The original patent, 'Systems and methods of spatial filtering for measuring electrical signals,' introduced a method for measuring electrical signals using a wearable device with multiple measurement electrodes. However, the original patent had limitations in terms of noise interference and signal quality. The new inventive concept addresses these limitations by introducing dynamic electrode connectivity adjustment, machine learning-based noise pattern correction, and noise-weighted averaging algorithms to significantly enhance signal quality and accuracy.

Detailed Description of the Inventive Concept

The new inventive concept comprises a wearable device with a plurality of measurement electrodes and a controller. The controller dynamically adjusts the connectivity of the measurement electrodes based on real-time noise level analysis to optimize signal quality. Additionally, the wearable device applies machine learning algorithms to identify and correct noise patterns in the obtained signals. A noise reduction module selectively applies signal processing techniques to measurement electrodes based on their noise levels. Furthermore, the controller adjusts the sampling rate of the measurement electrodes based on their noise levels to optimize signal quality. The new inventive concept also introduces a noise-weighted averaging algorithm to generate an electrocardiogram (ECG) waveform from the obtained signals.

Novelty and Inventive Step

The new claims introduce a novel approach to spatial filtering by dynamically adjusting electrode connectivity and applying advanced noise reduction techniques, which are not present in the original patent. The inventive step lies in the combination of these techniques to achieve significantly improved signal quality and accuracy.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of wearable devices, such as smartwatches or fitness trackers, or incorporating additional sensors to further enhance signal quality. Variations could also include using different machine learning algorithms or signal processing techniques to correct noise patterns.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the healthcare and fitness industries, where accurate and reliable electrical signal measurement is crucial. The advanced spatial filtering technology could be integrated into various wearable devices, enabling users to monitor their health and wellness more effectively.

CPC Classifications

SectionClassGroup
A A61 A61B5/681
A A61 A61B5/0006
A A61 A61B5/282
A A61 A61B5/304
A A61 A61B5/316
A A61 A61B5/332
A A61 A61B5/7214
A A61 A61B2560/0468
A A61 A61B2562/0209

Field of Art

Biomedical signal processing and wearable medical device technologies, specifically focused on electrical signal measurement techniques for physiological monitoring, with expertise in electrode configuration, noise reduction, and signal acquisition methods

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or electrical engineer with advanced degree, specialized knowledge in signal processing algorithms, sensor design, machine learning applications in medical device technologies, and expertise in developing wearable physiological monitoring systems

Obviousness Rationale

A person having ordinary skill would recognize that the PTD's disclosed variations represent predictable extensions of the source patent's core teachings about electrical signal measurement using wearable electrode configurations. The proposed machine learning noise reduction and dynamic electrode connectivity techniques are logical algorithmic improvements that would be apparent to a skilled practitioner seeking to optimize signal quality in wearable medical monitoring devices. The variations represent standard engineering problem-solving approaches to improving sensor performance through adaptive signal processing techniques.

Obvious Combinations & Variations

Source Patent Element
Measurement electrodes configured on a wearable device surface for obtaining electrical signals
PTD Variation
Dynamic adjustment of electrode connectivity based on real-time noise level analysis
Obviousness Reasoning
A PHOSITA would find it obvious to implement adaptive electrode selection as a known technique for improving signal quality, representing a predictable variation of existing sensor configuration methods
Source Patent Element
Multiple measurement electrodes for obtaining electrical signals
PTD Variation
Machine learning algorithms to identify and correct noise patterns in obtained signals
Obviousness Reasoning
Applying machine learning to signal processing is a standard engineering approach for noise reduction, representing an obvious optimization technique for improving signal acquisition
Source Patent Element
Electrical signal measurement method using multiple electrodes
PTD Variation
Noise-weighted averaging algorithm for generating ECG waveforms
Obviousness Reasoning
Weighted signal averaging is a known technique in signal processing, and applying it specifically to ECG waveform generation would be an obvious design choice for a skilled practitioner
Source Patent Element
Wearable device with measurement electrodes
PTD Variation
Dynamically adjusting sampling rates based on individual electrode noise levels
Obviousness Reasoning
Adaptive sampling techniques are standard signal processing methods, and applying them to improve electrode performance represents a predictable engineering solution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857341 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The proposed methods represent straightforward extensions of existing electrical signal measurement techniques, utilizing standard signal processing approaches that would be readily conceived by a skilled practitioner seeking to optimize wearable medical monitoring technologies.

Original Patent Information

Patent NumberUS 11,857,341
TitleSystems and methods of spatial filtering for measuring electrical signals
Assignee(s)Apple Inc.