Latest AI and machine learning research in strokes for healthcare professionals.
Motor impairments after stroke are often persistent and disabling, and women are less likely to recover and show poorer functional outcomes. To regain motor function after stroke, rehabilitation robots are increasingly integrated into clinics. The devices fall into two main classes: robots developed to train lost motor function after stroke (therapy devices) and robots designed to compensate for l...
Perioperative stroke is cerebral infarction occurring in the perioperative period. The incidence of perioperative stroke in non-cardiac, and non-neurologic surgery is about 0.7%, but the mortality can be as high as 26% to 40%. The outcome of the patients with perioperative stroke can be disastrous. Here we report a case of perioperative ischemic stroke that occurred after surgery of lumbar decompr...
BACKGROUND: The prevalence of chronic kidney disease (CKD) is increasing worldwide due to an increase in the risk factors such as hypertension. The gr...
Stroke-induced hemiparetic gait is characteristically slow and metabolically expensive. Passive assistive devices such as ankle-foot orthoses are ofte...
The optimal conditions inducing proper brain activation during performance of rehabilitation robots should be examined to enhance the efficiency of ro...
There is a demand for a new neurorehabilitation modality with a brain-computer interface for stroke patients with insufficient or no remaining hand mo...
Robotic devices can train strength, coordination, or a combination of both. If a robotic device focuses on coordination, what happens to strength reco...
Gait asymmetry as a consequence of hemiparesis is known as a serious long-term disability, where typical compensatory gait movements are used by strok...
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...
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive rehabilitation training in restoring moto...
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...
To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hosp...
Our area of interest is robotic-based rehabilitation after stroke, and our goal is to help patients achieve optimal motor learning during high-intensi...
Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impai...
OBJECTIVE: To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabilitation, including the use of brain-machine inter...
This systematic review with a meta-analysis of studies was carried out to evaluate the effectiveness of robotic training (RT) and conventional trainin...
There is much interest in form-fitting, low-modulus, implantable devices or soft robots that can mimic or assist in complex biological functions such ...
The Gene Ontology (GO) is a formidable resource, but there are several considerations about it that are essential to understand the data and interpret...
The objective of this review is to synthesize the best available evidence on the effectiveness of robotic assistive devices in the rehabilitation of a...
Although anticoagulation remains the mainstay of therapy for patients with venous thromboembolism, guidelines recommend the use of inferior vena cava ...