Synergistic Electrochemical Impedance Spectroscopy System

Publication ID: 24-11857318_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Electrochemical Impedance Spectroscopy System,” Published Technical Disclosure No. 24-11857318_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857318_0008_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. 11,857,318.

Summary of the Inventive Concept

A novel system integrating electrochemical impedance spectroscopy (EIS) with artificial intelligence (AI), blockchain, IoT, and nanomaterials to predict plaque rupture, identify metabolically active atherosclerotic lesions, and enable personalized treatment of atherosclerosis.

Background and Problem Solved

The original patent disclosed an electrochemical impedance spectroscopy device for characterizing regions of tissue. However, it had limitations in terms of data analysis, security, and real-time feedback. The new inventive concept addresses these limitations by synergistically combining EIS with AI, blockchain, IoT, and nanomaterials to create a more powerful system for predicting plaque rupture and identifying metabolically active atherosclerotic lesions.

Detailed Description of the Inventive Concept

The new system comprises a tissue sensing device with EIS sensors, an AI module for analyzing EIS data and identifying patterns indicative of plaque rupture, a cloud-based storage system for storing and processing EIS data and AI analysis results, an IoT-enabled communication module for transmitting EIS data to a remote server, a server-side analytics platform for analyzing EIS data and providing real-time feedback to a healthcare provider, a nanomaterial-based sensor for detecting biomarkers of plaque rupture, and a microcontroller for integrating EIS data and biomarker detection results. The system can be used to predict plaque rupture, identify metabolically active atherosclerotic lesions, and enable personalized treatment of atherosclerosis.

Novelty and Inventive Step

The new claims introduce a synergistic combination of EIS with AI, blockchain, IoT, and nanomaterials, which is novel and non-obvious compared to the original patent. The integration of these distinct technologies enables a more powerful system for predicting plaque rupture and identifying metabolically active atherosclerotic lesions.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of sensors, such as optical or acoustic sensors, or integrating the system with other medical imaging modalities, such as MRI or CT scans. Variations of the system could also include using different AI algorithms or blockchain networks.

Potential Commercial Applications and Market

The synergistic electrochemical impedance spectroscopy system has significant commercial potential in the medical device industry, particularly in the areas of cardiovascular disease diagnosis and treatment. The system could be marketed to hospitals, clinics, and research institutions, and could potentially disrupt the current market for cardiovascular disease diagnosis and treatment.

Field of Art

Biomedical engineering, medical device design, and diagnostic systems with a focus on cardiovascular tissue sensing and analysis technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with expertise in catheter-based sensing technologies, electrochemical impedance spectroscopy, and advanced data analysis techniques, holding advanced degrees in bioengineering or medical technology

Obviousness Rationale

A person of ordinary skill would recognize that integrating AI, IoT, and advanced data processing with existing tissue sensing technologies represents a predictable extension of the source patent's core methodology. The fundamental tissue sensing approach remains consistent, with the PTD merely adding contemporary computational and communication technologies to enhance diagnostic capabilities. These technological additions represent well-known approaches to improving medical diagnostic systems through data integration and intelligent analysis.

Obvious Combinations & Variations

Source Patent Element
Tissue sensing device with catheter-based ultrasound transducer for tissue characterization
PTD Variation
Replacing ultrasound transducer with electrochemical impedance spectroscopy (EIS) sensors for tissue analysis
Obviousness Reasoning
Substituting one tissue sensing modality for another is a standard design choice for a PHOSITA seeking alternative diagnostic approaches, with predictable results in tissue characterization
Source Patent Element
Catheter with lumen for fluid-based sensing
PTD Variation
Adding AI module and cloud-based storage for processing and analyzing sensor data
Obviousness Reasoning
Integrating computational analysis with sensing technologies is a routine enhancement in medical device design, representing a known technique for improving diagnostic precision
Source Patent Element
Tissue sensing device with closed distal end
PTD Variation
Incorporating nanomaterial-based sensors and IoT communication for enhanced biomarker detection
Obviousness Reasoning
Augmenting medical sensing devices with advanced materials and communication technologies is an obvious approach for improving diagnostic capabilities and data transmission
Source Patent Element
Medical device for tissue characterization
PTD Variation
Adding blockchain network for secure data storage and personalized treatment planning
Obviousness Reasoning
Implementing secure data management and personalization techniques represents a predictable evolution of medical diagnostic technologies
Source Patent Element
Catheter-based tissue sensing approach
PTD Variation
Integrating machine learning algorithms for pattern recognition in tissue data
Obviousness Reasoning
Applying machine learning to medical diagnostic data is a well-established technique for extracting advanced insights from sensor measurements
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857318 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The systematic integration of EIS, AI, IoT, and blockchain technologies represents a predictable combination of known techniques in medical diagnostic system design, thereby rendering the claimed innovations unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,318
TitleElectrochemical impedance spectroscopy
Assignee(s)The Regents of the University of California