Ultrasound Signal

Ultrasound signal processing focuses on extracting meaningful information from the received acoustic waves for various applications, primarily in medical imaging and human-computer interfaces. Current research emphasizes the use of deep learning, particularly convolutional neural networks (CNNs) and U-Net architectures, to improve the accuracy and speed of tasks such as bone tracking in orthopedic surgery, muscle activity detection for prosthetic control, and image reconstruction from raw ultrasound data. These advancements enable more precise diagnoses, improved surgical techniques, and the development of novel human-machine interfaces, ultimately impacting healthcare and assistive technologies.