Advanced Biological Sound Measurement Device with Enhanced Accuracy and User Experience
Legal Citation
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
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B7/04 |
| A | A61 | A61B5/7445 |
| H | H04 | H04R1/46 |
| A | A61 | A61B2560/0425 |
Section 103 Obviousness Analysis (PHOSITA)
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
Original Patent Information
| Patent Number | US 11,857,360 |
|---|---|
| Title | Biological sound measurement device |
| Assignee(s) | Omron Healthcare Co., Ltd. |