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Arterial Distension Monitoring Scheme Using FPGA-Based Inference Machine in Ultrasound Scanner Circuit System.

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    This study introduces an FPGA-based system for precise ultrasound probe positioning, improving arterial distension monitoring. The novel scheme achieved 88% accuracy in probe positioning and a 0.838 Pearson coefficient for arterial distension estimation.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging Technology
    • Embedded Systems

    Background:

    • Precise ultrasound probe positioning is crucial for accurate arterial distension monitoring.
    • Existing methods may lack the required precision or computational efficiency for real-time applications.

    Purpose of the Study:

    • To develop and validate an FPGA-based inference machine for enhanced ultrasound probe positioning in arterial distension monitoring.
    • To reduce hardware resource utilization in Field-Programmable Gate Arrays (FPGAs) for embedded ultrasound systems.

    Main Methods:

    • Implementation of a finite state machine incorporating sequential Support Vector Machines (SVMs) for coarse and fine probe adjustments.
    • Utilizing sequential SVMs with convolution and average pooling to reduce feature numbers for FPGA inference.
    • Development of a customized ultrasound scanner system integrated with an FPGA (Artix7).

    Main Results:

    • The proposed arterial distension monitoring scheme achieved 88% accuracy in probe positioning inference.
    • A high Pearson correlation coefficient (r = 0.838) was obtained for arterial distension estimation.
    • The FPGA implementation demonstrated efficient resource utilization, at less than 9.3%.

    Conclusions:

    • The developed FPGA-based system offers a precise and resource-efficient solution for ultrasound probe positioning.
    • This scheme significantly enhances the feasibility of real-time arterial distension monitoring using embedded ultrasound systems.