Graduate Program in Health Technology (PPGTS), Pontifical Catholic University of Paraná, Curitiba 80215-901, Brazil.
Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil.
Sensors (Basel). 2022 Nov 27;22(23):9232. doi: 10.3390/s22239232.
The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combined traditional techniques to quantify information about the muscle condition that is correlated to neuromuscular electrical activation and the generation of muscle force and vibration has grown. The purpose of this review is to guide the reader to relevant works in different applications of ultrasound imaging in combination with other techniques for the characterization of biological signals. Several research groups have been using multi-sensing systems to carry out specific studies in the health area. We can divide these studies into two categories: human-machine interface (HMI), in which sensors are used to capture critical information to control computerized prostheses and/or robotic actuators, and physiological study, where sensors are used to investigate a hypothesis and/or a clinical diagnosis. In addition, the relevance, challenges, and expectations for future work are discussed.
肌-腱单元（MTU）产生的肌肉收缩研究在医学诊断、监测、康复和功能评估中起着至关重要的作用，包括用于假肢控制的运动预测建模的潜力。在过去的十年中，结合传统技术来量化与神经肌肉电激活和肌肉力量及振动产生相关的肌肉状况信息的方法已经得到了广泛应用。本综述的目的是引导读者了解超声成像与其他技术相结合在不同应用中的相关工作，以用于生物信号的特征描述。一些研究小组一直在使用多传感器系统来进行健康领域的特定研究。我们可以将这些研究分为两类：人机接口（HMI），其中传感器用于捕获关键信息以控制计算机化假肢和/或机器人执行器，以及生理研究，其中传感器用于研究假设和/或临床诊断。此外，还讨论了未来工作的相关性、挑战和期望。
