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Abstract：
Sensor-based assessments in medical practice and rehabilitation include the measurement of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of movement kinematics and interaction forces. Such measurements are commonly employed in clinics with the aim of assessing patients\' pathologies, but so far some of them have found full exploitation mainly for research purposes. In fact, even though the data they allow to gather may shed light on physiopathology and mechanisms underlying motor recovery in rehabilitation, their practical use in the clinical environment is mainly devoted to research studies, with a very reduced impact on clinical practice. This is especially the case for muscle synergies, a well-known method for the evaluation of motor control in neuroscience based on multichannel EMG recordings. In this paper, considering neuromotor rehabilitation as one of the most important scenarios for exploiting novel methods to assess motor control, the main challenges and future perspectives for the standard clinical adoption of muscle synergy analysis are reported and critically discussed.
摘要：
医疗实践和康复中基于传感器的评估包括对诸如EEG等生理信号的测量，EMG,心电图,心率,和NIRS,以及运动运动学和相互作用力的记录。这种测量通常用于临床，目的是评估患者的病理，但到目前为止，其中一些已经发现了主要用于研究目的的充分开发。事实上,尽管他们允许收集的数据可能会揭示康复中运动恢复的病理生理学和机制，它们在临床环境中的实际应用主要用于研究，对临床实践的影响非常小。肌肉协同作用尤其如此，一种基于多通道EMG记录的神经科学运动控制评估方法。在本文中,将神经运动康复视为利用新方法评估运动控制的最重要方案之一，报告并批判性地讨论了标准临床采用肌肉协同分析的主要挑战和未来前景.
