Next-Generation Biological Sound Measurement and Analysis System

Publication ID: 24-11857360_0005_PTD

Published: October 28, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Biological Sound Measurement and Analysis System,” Published Technical Disclosure No. 24-11857360_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857360_0005_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. 11,857,360.

Summary of the Inventive Concept

A cutting-edge biological sound measurement and analysis system that leverages AI, machine learning, and blockchain technologies to revolutionize respiratory health monitoring and disease detection.

Background and Problem Solved

The original biological sound measurement device has limitations in terms of adaptability, customization, and data security. The new inventive concept addresses these limitations by incorporating advanced technologies to provide a more accurate, personalized, and secure biological sound analysis system.

Detailed Description of the Inventive Concept

The next-generation biological sound measurement and analysis system consists of a wearable device with a neural network-based sound analysis module that learns to identify patterns in biological sounds and provides real-time feedback to users. The system also includes a cloud-based data analytics platform for remote monitoring and analysis, enabling secure sharing and collaboration between healthcare professionals and patients. The device features a modular design, allowing users to swap out interchangeable sound sensors and analysis modules for customization and upgrading. Additionally, the system utilizes blockchain technology to securely store and manage biological sound data.

Novelty and Inventive Step

The new inventive concept's use of AI, machine learning, and blockchain technologies in a biological sound measurement and analysis system is novel and non-obvious compared to the original patent. The incorporation of these advanced technologies enables a more accurate, personalized, and secure system that addresses the limitations of the original device.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include a handheld device with a built-in AI-powered sound analysis module, a mobile app that integrates with the wearable device for remote monitoring, or a cloud-based platform that enables real-time collaboration between healthcare professionals and patients. Variations could include the use of different AI algorithms, machine learning models, or blockchain protocols to achieve the same goals.

Potential Commercial Applications and Market

The next-generation biological sound measurement and analysis system has significant commercial potential in the healthcare industry, particularly in respiratory health monitoring and disease detection. The system could be marketed to healthcare professionals, patients, and medical research institutions, with potential applications in telemedicine, remote patient monitoring, and personalized medicine.

CPC Classifications

Section	Class	Group
A	A61	A61B7/04
A	A61	A61B5/7445
H	H04	H04R1/46
A	A61	A61B2560/0425

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical device technology focused on biological sound measurement and analysis, specifically respiratory health monitoring systems, requiring expertise in biomedical engineering, signal processing, and medical instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced knowledge of acoustic sensing technologies, signal processing algorithms, and medical diagnostic instrumentation, typically holding a master's or doctoral degree in biomedical engineering or related field

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's proposed variations represent predictable technological extensions of the source patent's biological sound measurement framework. The core functionality of capturing and analyzing biological sounds remains consistent, with the PTD introducing well-known technological enhancements like machine learning, cloud integration, and modular design. These modifications represent standard engineering approaches to improving medical diagnostic technologies by incorporating contemporary computational and networking capabilities.

Obvious Combinations & Variations

Source Patent Element

Biological sound measurement device with contact surface for capturing physiological sounds

PTD Variation

Neural network-based sound analysis module that learns to identify patterns in biological sounds

Obviousness Reasoning

Machine learning techniques for signal pattern recognition are well-established in medical diagnostics, representing a predictable application of known computational techniques to improve biological sound analysis

Source Patent Element

Sound measurement unit configured to capture respiratory sounds

PTD Variation

Modular design allowing interchangeable sound sensors and analysis modules

Obviousness Reasoning

Modular medical device architectures are a common design approach enabling device customization and technological upgrades, representing an obvious engineering solution for improving device flexibility

Source Patent Element

Device for measuring and displaying biological sound data

PTD Variation

Cloud-based data analytics platform for remote monitoring and secure data sharing

Obviousness Reasoning

Integration of cloud technologies for medical data management is a standard technological progression, representing an obvious extension of existing medical device communication capabilities

Source Patent Element

Biological sound measurement device with display capabilities

PTD Variation

Blockchain technology for secure biological sound data management

Obviousness Reasoning

Implementing blockchain for secure data storage is a predictable solution for addressing medical data privacy concerns, representing a known technique for enhancing data security in digital health technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857360 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed biological sound measurement system variations obvious and lacking inventive step. The combination of known medical device design principles, machine learning techniques, and contemporary data management technologies renders the claimed innovations predictable and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,360
Title	Biological sound measurement device
Assignee(s)	Omron Healthcare Co., Ltd.