Advanced Biological Sound Measurement Device with Enhanced Accuracy and User Experience

Publication ID: 24-11857360_0006_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Biological Sound Measurement Device with Enhanced Accuracy and User Experience,” Published Technical Disclosure No. 24-11857360_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857360_0006_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

An improved biological sound measurement device that integrates noise-cancellation, tactile feedback, machine learning-based anomaly detection, and wireless connectivity to provide enhanced accuracy, user experience, and remote analysis capabilities.

Background and Problem Solved

The original biological sound measurement device had limitations in measuring accurate biological sounds in noisy environments, lacked intuitive user feedback, and had limited analysis capabilities. The new inventive concept addresses these limitations by incorporating advanced features to improve measurement accuracy, user experience, and analysis capabilities.

Detailed Description of the Inventive Concept

The advanced biological sound measurement device comprises a contact surface for measuring biological sounds, a noise-cancellation module to filter out environmental noise, a display unit with a tactile feedback mechanism to convey analysis results to the measurer, and a machine learning-based algorithm to detect anomalies in biological sounds. The device also features wireless connectivity to transmit analysis results to a remote server or mobile device for further analysis or recommendations. The noise-cancellation module utilizes advanced signal processing techniques to identify and eliminate noise, ensuring accurate measurement of biological sounds. The tactile feedback mechanism provides a more intuitive and engaging user experience, while the machine learning-based algorithm enables early detection of anomalies and potential health risks.

Novelty and Inventive Step

The new inventive concept's integration of noise-cancellation, tactile feedback, machine learning-based anomaly detection, and wireless connectivity features provides a novel and non-obvious solution that significantly improves the accuracy, user experience, and analysis capabilities of biological sound measurement devices. The inventive step lies in the combination of these advanced features, which overcome the limitations of the original patent and provide a more effective and efficient solution.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include varying the type of noise-cancellation module, using different tactile feedback mechanisms, or incorporating additional machine learning-based algorithms for more advanced analysis. The device could also be adapted for use in different medical specialties or for measuring biological sounds in non-human subjects.

Potential Commercial Applications and Market

The advanced biological sound measurement device has significant commercial potential in the medical device industry, particularly in the fields of cardiology, pulmonology, and pediatrics. The device's enhanced accuracy, user experience, and analysis capabilities make it an attractive solution for healthcare professionals and researchers. The market for biological sound measurement devices is growing, driven by increasing demand for non-invasive diagnostic tools and the need for more accurate and efficient analysis of biological sounds.

CPC Classifications

SectionClassGroup
A A61 A61B7/04
A A61 A61B5/7445
H H04 H04R1/46
A A61 A61B2560/0425

Field of Art

Medical diagnostic devices, specifically biological sound measurement technologies involving respiratory and physiological sound analysis, with expertise in acoustic sensing, signal processing, and medical instrumentation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced training in acoustic signal processing, machine learning, and medical sensor technologies, possessing knowledge of signal filtering techniques, user interface design, and diagnostic instrumentation

Obviousness Rationale

A person having ordinary skill would recognize that enhancing the source patent's biological sound measurement device with noise-cancellation, machine learning analysis, and wireless connectivity represents predictable technological improvements within the domain of medical diagnostic instrumentation. The proposed variations solve known limitations in biological sound measurement by applying standard engineering techniques and contemporary signal processing approaches. These modifications would be considered routine optimization for a skilled practitioner seeking to improve diagnostic accuracy and user experience.

Obvious Combinations & Variations

Source Patent Element
Sound measurement unit with contact surface for biological sound detection
PTD Variation
Integrating noise-cancellation module to improve signal quality
Obviousness Reasoning
Signal filtering techniques are well-established in acoustic engineering, and applying advanced noise reduction to medical diagnostic devices would be an obvious design improvement for a PHOSITA seeking enhanced measurement accuracy
Source Patent Element
Display unit for presenting measurement results
PTD Variation
Adding tactile feedback mechanism to convey analysis information
Obviousness Reasoning
User interface design principles commonly suggest multi-modal feedback, and incorporating tactile signals alongside visual indicators represents a predictable enhancement for medical device usability
Source Patent Element
Biological sound measurement device with basic analysis capabilities
PTD Variation
Implementing machine learning-based anomaly detection algorithm
Obviousness Reasoning
Machine learning techniques for medical signal analysis are increasingly standard, and applying computational pattern recognition to biological sound data would be an obvious technological progression for a skilled practitioner
Source Patent Element
Standalone biological sound measurement device
PTD Variation
Adding wireless connectivity for remote data transmission and analysis
Obviousness Reasoning
Network-enabled medical devices are increasingly common, and extending diagnostic capabilities through wireless data sharing represents a straightforward technological evolution within medical instrumentation
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857360 and the disclosed technical variations, a person having ordinary skill in medical device design would find the proposed biological sound measurement device improvements to be obvious extensions of existing technological capabilities. The combination of noise-cancellation, machine learning analysis, tactile feedback, and wireless connectivity represents predictable technological advancements that would be readily conceived by a skilled practitioner seeking to optimize diagnostic instrumentation performance and user experience.

Original Patent Information

Patent NumberUS 11,857,360
TitleBiological sound measurement device
Assignee(s)Omron Healthcare Co., Ltd.