Rodriguez Guerrero C, Fraile Marinero J, Perez Turiel J, Rivera Farina P
Fundacion Cartif, Biomedical Engineering Division, Centro Tecnologico de Boecillo, 205, 47151 Valladolid. España, Spain.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4472-5. doi: 10.1109/IEMBS.2010.5626052.
Biocooperative augmented robots, can enhance rehabilitation therapies by giving the correct assistance at the correct time. Since different patients may benefit from different amounts of assistance or resistance at a given time, predicting when a person enters in an undesired psychophysiological state can provide an intelligent system with important information about when to initiate interaction. This paper presents a subject centered approach method that includes the human into the loop by using physiological feedback techniques. This allows the robot to adapt to several different patients and maintain the therapy as intensive as possible without compromising patients health or letting the individual get stressed which would result in a decay of the overall performance.
生物协作增强型机器人可以通过在正确的时间提供正确的辅助来增强康复治疗效果。由于不同的患者在给定时间可能受益于不同程度的辅助或阻力，预测一个人何时进入不期望的心理生理状态可以为智能系统提供何时开始交互的重要信息。本文提出了一种以受试者为中心的方法，通过使用生理反馈技术将人纳入循环。这使得机器人能够适应多个不同的患者，并在不损害患者健康或不让个体感到压力（这会导致整体性能下降）的情况下尽可能保持高强度治疗。
