Enhanced System and Method for Detecting Asymmetrically Positioned Internal Objects in Bodies

Publication ID: 24-11857305_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced System and Method for Detecting Asymmetrically Positioned Internal Objects in Bodies,” Published Technical Disclosure No. 24-11857305_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857305_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. 11,857,305.

Summary of the Inventive Concept

An improved system and method for detecting asymmetrically positioned internal objects in bodies, leveraging advanced signal processing techniques and machine learning algorithms to enhance detection accuracy and efficiency.

Background and Problem Solved

The original patent disclosed a system and method for detecting internal objects in bodies using microwave signals. However, the existing approach has limitations in terms of detection accuracy, particularly when dealing with asymmetrically positioned internal objects. The new inventive concept addresses these limitations by introducing advanced signal processing techniques, such as machine learning algorithms, deep learning models, and fuzzy logic approaches, to improve the detection of internal objects.

Detailed Description of the Inventive Concept

The enhanced system comprises a microwave signal generator, a plurality of symmetrically positioned antennas, and a processing unit configured to analyze differences in received microwave signals using machine learning algorithms trained on a dataset of known dielectric properties. The system can also utilize asymmetrically oriented antennas or antennas positioned at different depths in the body to enhance detection capabilities. The method involves transmitting microwave signals through the body, receiving the signals at symmetric antenna pairs, analyzing the differences in the received signals using a deep learning model or fuzzy logic approach, and detecting the internal object based on the analysis.

Novelty and Inventive Step

The new claims introduce novel and non-obvious improvements over the original patent, including the use of machine learning algorithms, deep learning models, and fuzzy logic approaches to enhance detection accuracy. The combination of symmetrically positioned antennas with advanced signal processing techniques and the use of asymmetrically oriented antennas or antennas at different depths in the body provide a significant inventive step over the prior art.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other advanced signal processing techniques, such as wavelet analysis or spectral analysis, to further enhance detection capabilities. Additionally, the system could be adapted for use in different applications, such as medical imaging or non-destructive testing, to expand its commercial potential.

Potential Commercial Applications and Market

The enhanced system and method for detecting asymmetrically positioned internal objects in bodies have significant commercial potential in the medical imaging and diagnostic industries, where accurate detection of internal objects is critical. The technology could also be applied in non-destructive testing and quality control in various industries, such as aerospace, automotive, and construction.

Field of Art

Medical imaging and signal processing technologies, specifically microwave-based object detection systems, requiring expertise in electrical engineering, signal processing, antenna design, and machine learning techniques

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degree in electrical engineering or biomedical engineering, proficient in microwave signal analysis, antenna design, machine learning algorithms, and signal processing techniques with 3-5 years professional experience in medical diagnostic technologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and advanced signal processing approaches represent predictable extensions of the source patent's core microwave detection methodology. The fundamental principle of detecting asymmetrically positioned objects through differential signal analysis remains consistent, with the PTD merely introducing well-known computational techniques to enhance detection accuracy. These variations represent standard engineering optimization strategies that would be obvious to implement given the existing technological framework.

Obvious Combinations & Variations

Source Patent Element
Symmetrically positioned antennas detecting internal objects through microwave signal differences
PTD Variation
Implementing machine learning algorithms to analyze signal differences
Obviousness Reasoning
Machine learning represents a known technique for signal processing optimization, providing a predictable improvement in detection accuracy through computational pattern recognition
Source Patent Element
Threshold-based detection of internal objects with different dielectric properties
PTD Variation
Using deep learning models and fuzzy logic approaches for signal analysis
Obviousness Reasoning
Advanced computational techniques are well-established methods for enhancing signal interpretation, representing a straightforward engineering design choice
Source Patent Element
Microwave signal transmission through symmetric body regions
PTD Variation
Utilizing asymmetrically oriented antennas and multi-depth antenna positioning
Obviousness Reasoning
Antenna configuration modifications are routine engineering optimizations that would be obvious to a skilled practitioner seeking improved detection capabilities
Source Patent Element
Non-invasive internal object detection system
PTD Variation
Expanding application to medical imaging and non-destructive testing domains
Obviousness Reasoning
Cross-domain technology transfer represents a standard innovation strategy with predictable technological adaptation
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857305, the present publication demonstrates that the claimed variations in microwave-based internal object detection systems would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed improvements represent straightforward extensions of existing technological principles, utilizing known signal processing techniques and computational methods to enhance detection accuracy through predictable combinations of prior art elements.

Original Patent Information

Patent NumberUS 11,857,305
TitleSystem and method for detecting an assymetrically positioned internal object in a body
Assignee(s)MEDFIELD DIAGNOSTICS AB