Rehabilitation robots are able to quantitatively assess biomechanical performance but they typically do not provide any information on the users’ subjective experience during the execution of motor tasks. In the framework of gait rehabilitation aided by treadmill-based exoskeletons, we developed a method for the assessment of the users’ psychophysiological state. By using a Fuzzy logic approach, four indicators can be estimated based on the recording of physiological signals. The method was tested on a group of four healthy participants walking with the Lokomat robotic gait trainer and the correlation among different pairs of indicators was evaluated. https://youtu.be/LiEwGdF5b28
Assessment of the psychophysiological state during walking with a treadmill-based exoskeleton
Tamantini, Christian;
2020
Abstract
Rehabilitation robots are able to quantitatively assess biomechanical performance but they typically do not provide any information on the users’ subjective experience during the execution of motor tasks. In the framework of gait rehabilitation aided by treadmill-based exoskeletons, we developed a method for the assessment of the users’ psychophysiological state. By using a Fuzzy logic approach, four indicators can be estimated based on the recording of physiological signals. The method was tested on a group of four healthy participants walking with the Lokomat robotic gait trainer and the correlation among different pairs of indicators was evaluated. https://youtu.be/LiEwGdF5b28I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
