Latest AI and machine learning research in neurology for healthcare professionals.
Robotic devices can train strength, coordination, or a combination of both. If a robotic device focuses on coordination, what happens to strength recovery, and vice versa? Understanding this interaction could help optimize robotic training. We developed a computational neurorehabilitation model to gain insight into the interaction between strength and coordination recovery after stroke. In the mod...
Gait asymmetry as a consequence of hemiparesis is known as a serious long-term disability, where typical compensatory gait movements are used by stroke subjects in order to cope with their daily activities. This study presents a gait symmetry training approach consisting of the adaptive robot assistance with the combination of the visual feedback integrated in Balance Assessment Robot for treadmil...
Admittance control is considered as a promising paradigm in rehabilitation that provides us with means to establish well controlled and adjustable int...
Since manual rehabilitation therapy can be taxing for both the patient and the physiotherapist, a gait rehabilitation robot has been built to reduce t...
The goal of this study was to determine how individuals post-stroke response to the lateral assistance force applied to the pelvis during treadmill wa...
To restore locomotor function following spinal cord injury the disrupted descending supraspinal drive needs to be re-connected to regions caudal to th...
In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provided by an ankle rehabilitation robot according to pa...
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive rehabilitation training in restoring moto...
Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is...
The main goal of this study is to analyse the effects of combined transcranial direct current stimulation (tDCS) and wrist robot-assisted therapy in s...
We have developed a rehabilitation training system called the Useful and Ultimate Rehabilitation System PARKO (UR System PARKO) to promote the recover...
To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hosp...
This paper presents a real time hybrid 2D position and orientation tracking system developed for an upper limb rehabilitation robot. Designed to work ...
Our area of interest is robotic-based rehabilitation after stroke, and our goal is to help patients achieve optimal motor learning during high-intensi...
The number of people with physical disabilities and impaired motion control is increasing. Consequently, there is a growing demand for intelligent ass...
People with a high level of disability experience great difficulties to perform activities of daily living and resort to their residual motor function...
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impai...
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is...
Eye-movements are the only directly observable behavioural signals that are highly correlated with actions at the task level, and proactive of body mo...
Peripheral neural interface (PNI) is becoming an essential technology in the field of robotic prosthesis due to its potential for providing bidirectio...