Enhanced System for Respiratory Monitoring of a Subject
Legal Citation
Summary of the Inventive Concept
The present inventive concept relates to an improved system and method for respiratory monitoring of a subject, enhancing the accuracy and efficiency of respiratory effort and airflow estimation through the integration of machine learning algorithms, signal processing techniques, and pattern recognition.
Background and Problem Solved
The original patent, 'System and method for respiratory monitoring of a subject', has limitations in accurately estimating respiratory effort and airflow. The new inventive concept addresses these limitations by introducing advanced algorithms and techniques to improve the estimation process.
Detailed Description of the Inventive Concept
The enhanced system comprises a bioimpedance measurement sensor and a processing unit. The bioimpedance measurement sensor acquires a bioimpedance signal, which is then processed by the processing unit using a machine learning algorithm to determine an estimation of the effort signal component. Alternatively, the processing unit can use a signal processing technique to determine an estimation of the flow signal component. Additionally, a neural network can be employed to estimate the respiratory effort of the subject. The system can also utilize a filter to remove noise from the measured bioimpedance signal, enabling a more accurate estimation of the respiratory airflow. Furthermore, a pattern recognition algorithm can be used to determine the respiratory rate of the subject.
Novelty and Inventive Step
The new claims introduce novel machine learning algorithms, signal processing techniques, and pattern recognition methods that significantly improve the accuracy and efficiency of respiratory effort and airflow estimation, distinguishing the inventive concept from the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, signal processing techniques, or pattern recognition methods. Additionally, the system could be integrated with other sensors or devices to provide a more comprehensive respiratory monitoring system.
Potential Commercial Applications and Market
The enhanced system and method for respiratory monitoring have significant commercial potential in the healthcare industry, particularly in applications such as remote patient monitoring, critical care, and respiratory therapy.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biomedical signal processing and respiratory monitoring technologies, with expertise in bioimpedance signal analysis, machine learning, and physiological measurement techniques
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced engineering or biomedical background, proficient in signal processing algorithms, neural networks, and medical sensor technologies, with knowledge of respiratory monitoring techniques
Obviousness Rationale
A person of ordinary skill would recognize that the PTD's machine learning, signal processing, and pattern recognition techniques represent predictable extensions of the source patent's fundamental bioimpedance respiratory monitoring approach. The disclosed variations apply standard computational techniques to enhance the existing bioimpedance monitoring methodology. These modifications represent routine optimization strategies well within the capabilities of a skilled practitioner in biomedical signal processing.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,308 |
|---|---|
| Title | System and method for respiratory monitoring of a subject |
| Assignee(s) | Stichting IMEC Nederland |