Blustein Daniel H, Sensinger Jonathon W
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:1183-1188. doi: 10.1109/ICORR.2017.8009410.
Current motor assessment tools can provide numerical indicators of performance but do not provide actionable information to target further improvement in rehabilitation interventions. Psychophysics-based outcome measures show promise to provide more useful information in the laboratory environment but have been limited in clinical implementation. Here we present a constrained-time task to assess paced and non-rhythmic movements. The task's output metrics include trial-by-trial adaptation rate and the just noticeable difference of a perturbation. We show that the task's metrics are reliable (i.e. high test-retest reliability) and are responsive to changes in feedback type and experience. We also discuss the task's versatility to be used for other types of movements including grasping. The consistent, sensitive and flexible time-constrained movement task we present provides a foundation from which to develop advanced outcome measures for prosthesis users and for other rehabilitation contexts.
当前的运动评估工具可以提供表现的数值指标，但无法提供可用于指导康复干预进一步改善的可操作信息。基于心理物理学的结果测量方法在实验室环境中有望提供更有用的信息，但在临床应用中受到限制。在此，我们提出一项限时任务，用于评估有节奏和无节律的运动。该任务的输出指标包括逐次试验的适应率和扰动的最小可觉差。我们表明，该任务的指标是可靠的（即重测信度高），并且对反馈类型和经验的变化有反应。我们还讨论了该任务在用于包括抓握在内的其他类型运动方面的通用性。我们提出的这种一致、灵敏且灵活的限时运动任务为开发针对假肢使用者和其他康复环境的高级结果测量方法奠定了基础。
