The study of muscular contraction along the skeletal muscle system is critical for medical applications. In this context, the integration of ultrasound imaging with other muscle-related signals presents a promising avenue for comprehensive assessment and understanding of musculoskeletal conditions. Muscle ultrasound has emerged as a valuable tool in clinical and research settings, offering reliability and detailed visualization of muscle structures. When extracted from real-time ultrasound images, it shows potential for applications in powered prostheses control and dynamic assessment of musculoskeletal functions. These applications point out to a gap in muscle assessment via ultrasound in combination with other myosignals. This paper presents a synchronous signal acquisition model through Verasonics and BITalino platforms to help with applications in Human-Machine Interface (HMI) devices, prosthetic control, healthcare field and physiological studies.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Synchronous Acquisition for Ultrasound and Devices Related to Musculoskeletal System

  • J. de Oliveira,
  • T. C. Boumer,
  • M. A. de Souza,
  • A. A. Assef,
  • J. M. Maia

摘要

The study of muscular contraction along the skeletal muscle system is critical for medical applications. In this context, the integration of ultrasound imaging with other muscle-related signals presents a promising avenue for comprehensive assessment and understanding of musculoskeletal conditions. Muscle ultrasound has emerged as a valuable tool in clinical and research settings, offering reliability and detailed visualization of muscle structures. When extracted from real-time ultrasound images, it shows potential for applications in powered prostheses control and dynamic assessment of musculoskeletal functions. These applications point out to a gap in muscle assessment via ultrasound in combination with other myosignals. This paper presents a synchronous signal acquisition model through Verasonics and BITalino platforms to help with applications in Human-Machine Interface (HMI) devices, prosthetic control, healthcare field and physiological studies.