IEEE Rev Biomed Eng. 2016;9:15-31. doi: 10.1109/RBME.2016.2543683. Epub 2016 Mar 17.
The movement of the human body offers neurologists important clues for the diagnosis and follow-up of many neurological diseases. The typical diagnosis approach is accomplished through simple observation of movements of interest (MOI) associated with a specific neurological disease. This approach is highly subjective because it is mainly based on qualitative evaluation of MOIs. Quantitative movement techniques are then obvious diagnosis-aid systems to approach these cases. Nevertheless, the use of motion quantification techniques in these pathologies is still relatively rare. In this paper, we intend to review this area and provide a clear picture of the current state of the art, both in the methods used and their applications to the main movement-related neurological diseases. We approach some historic aspects and the current state of the motion capture techniques and present the results of a survey to the literature that includes 82 papers, since 2006, covering the usage of these techniques in neurological diseases. Furthermore, we discuss the pros and cons of using quantitative approaches in these clinical scenarios. Finally, we present some conclusions and discuss the trends we foresee for the future.
人体运动为神经科医生提供了许多重要线索，有助于诊断和随访许多神经疾病。典型的诊断方法是通过简单观察与特定神经疾病相关的感兴趣运动（MOI）来完成。这种方法具有高度主观性，因为它主要基于对 MOI 的定性评估。因此，定量运动技术是一种明显的诊断辅助系统，可以用于这些病例。然而，在这些疾病中使用运动量化技术仍然相对较少。在本文中，我们旨在回顾这一领域，并提供当前技术的清晰图片，包括所使用的方法及其在主要与运动相关的神经疾病中的应用。我们探讨了一些历史方面和运动捕捉技术的现状，并对自 2006 年以来涵盖这些技术在神经疾病中应用的 82 篇文献进行了调查，介绍了调查结果。此外，我们还讨论了在这些临床情况下使用定量方法的优缺点。最后，我们提出了一些结论，并讨论了我们对未来的预期趋势。
