Enhanced Method and System for Determining Patient Volume Responsiveness

An improved method and system for determining a parameter representative for a patient's volume responsiveness, enhancing accuracy and efficiency through advanced signal processing techniques and machine learning algorithms.

The original patent disclosed a method and system for determining volume responsiveness, but limitations existed in terms of signal noise and processing complexity. The new inventive concept addresses these limitations by introducing advanced signal processing techniques, such as low-pass filtering, wavelet transforms, and Gaussian filtering, to improve the accuracy and efficiency of volume responsiveness determination.

The enhanced method and system comprise a pulse signal measurement unit, a processing unit, and a logic unit. The processing unit applies advanced signal processing techniques to the measured pulse signals, including low-pass filtering, wavelet transforms, and Gaussian filtering, to determine an envelope signal curve. The logic unit then determines a volume responsiveness indicator based on the envelope signal curve. Additionally, machine learning algorithms can be employed to improve the accuracy of the volume responsiveness determination. The system can be integrated with various pulse signal measurement methods, including oscillometric non-invasive blood pressure measurement and photoplethysmography (PPG) sensors.

The new claims introduce novel signal processing techniques and machine learning algorithms that significantly improve the accuracy and efficiency of volume responsiveness determination compared to the original patent. The inventive step lies in the application of these advanced techniques to the specific problem of volume responsiveness determination, providing a non-obvious solution that enhances the original patent's functionality.

Alternative embodiments of the inventive concept could include the use of different signal processing techniques, such as Fourier transforms or machine learning algorithms, to determine the envelope signal curve. Additionally, the system could be integrated with various medical devices, such as patient monitors or ventilators, to provide a more comprehensive solution for volume responsiveness determination.

The enhanced method and system for determining patient volume responsiveness have significant commercial potential in the medical device industry, particularly in the fields of critical care, anesthesia, and cardiology. The inventive concept could be integrated into various medical devices, providing a competitive advantage in terms of accuracy and efficiency. The target market includes hospitals, clinics, and medical research institutions.