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Asthma Detection Research Based on Voice Signal Processing and Machine Learning

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Related Experiment Video

Updated: Jan 19, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging.

Meng Dai¹, Shuying Li¹, Yuanyuan Wang^1,2

¹Department of Electronic Engineering, Fudan University, Shanghai, 200433, China.

Biomedical Engineering Online

|September 13, 2019

Summary

This summary is machine-generated.

This study introduces a novel deep learning post-processing method to enhance ultrasound contrast agent imaging (UCAI) quality. The new technique significantly improves contrast-to-noise ratios for clearer UCAI visualization.

Failed At:

2026-06-19T13:47:40.330307+00:00

Keywords:

Eigenspace Microbubble Radio frequency (RF) signal U-net Ultrasound contrast agent Ultrasound contrast agent plane wave imaging

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