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Assessing Virtual Rehabilitation Design with Biophysiological Metrics

机译:评估生物生理学指标的虚拟康复设计

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Efficacy of virtual rehabilitation applications is typically demonstrated by pre and post comparisons of observable behavioral metrics. These behaviors can be monitored via devices such as trackers or video capture and more traditional error rate metrics. However, monitoring the patient驴s emotional and cognitive changes during virtual rehabilitation may better guide the rehab process as well as the design of the rehab scenario. We explored the use of biophysiological metrics (EEG, GSR, and Respiration) in the design of a virtual restaurant for the purpose of engaging persons who stutter in verbal interactions during an everyday experience. The EEG results showed that participants experienced higher engagement in the virtual restaurant. Although respiration and GSR metrics differed for each participant, they correlated well with stressors presented in the scenario. The work supports the use of biophysiological measures as an objective means of assessing virtual rehabilitation protocols.
机译:虚拟康复应用的功效通常通过可观察的行为指标的预先和后的比较来证明。可以通过诸如跟踪器或视频捕获以及更传统的错误率指标等设备来监视这些行为。然而,在虚拟康复期间监测患者的情绪和认知变化可能会更好地指导康复过程以及康复情景的设计。我们探讨了在虚拟餐厅的设计中使用生物生理学指标(EEG,GSR和呼吸),以便在日常经历期间使用口头互动中口吃的人。 EEG结果表明,参与者在虚拟餐厅举办了更高的参与。虽然每个参与者的呼吸和GSR指标不同,但它们与情景中呈现的压力源相吻合。该工作支持使用生物生理措施作为评估虚拟康复协议的客观手段。

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