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Control and Evaluation of a Powered Transfemoral Prosthesis for Stair Ascent.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper assesses the metabolic effort exerted by three transfemoral amputees, when using a powered knee and ankle prosthesis for stair ascent, relative to ascending stairs with passive knee and ankle prostheses. The paper describes a controller th...

Effect of Positive End-Expiratory Pressure on the Sonographic Optic Nerve Sheath Diameter as a Surrogate for Intracranial Pressure during Robot-Assisted Laparoscopic Prostatectomy: A Randomized Controlled Trial.

PloS one
BACKGROUND: Positive end-expiratory pressure (PEEP) can increase intracranial pressure. Pneumoperitoneum and the Trendelenburg position are associated with an increased intracranial pressure. We investigated whether PEEP ventilation could additionall...

Comparison of the effects on dynamic balance and aerobic capacity between objective and subjective methods of high-intensity robot-assisted gait training in chronic stroke patients: a randomized controlled trial.

Topics in stroke rehabilitation
BACKGROUND: Robot-assisted gait training (RAGT) is effective for improving dynamic balance and aerobic capacity, but previous RAGT method does not set suitable training intensity. Recently, high-intensity treadmill gait training at 70% of heart rate ...

Robot-assisted laparoscopic pyeloplasty in infants using 5-mm instruments.

Journal of pediatric urology
BACKGROUND: Utilization of the robotic approach to pyeloplasty continues to grow in the field of pediatric urology. Adoption in the infant population has perhaps been the slowest because of the limited operative domain and relatively large instrument...

Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.

BioMed research international
Safety is one of the crucial issues for robot-aided neurorehabilitation exercise. When it comes to the passive rehabilitation training for stroke patients, the existing control strategies are usually just based on position control to carry out the tr...

Reliability of Robotic Telemedicine for Assessing Critically Ill Patients with the Full Outline of UnResponsiveness Score and Glasgow Coma Scale.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, including those with decreased level of consciousness (LOC) or coma. Improving access to providers with neurologic expertise affords earlier triage and direc...

Premature atherosclerosis after treatment for acute lymphoblastic leukemia in childhood.

Annals of agricultural and environmental medicine : AAEM
INTRODUCTION: Late cardiovascular complications are the leading causes of morbidity and mortality in patients treated for common malignancies of childhood. Late cardiotoxicity include increased development of atherosclerosis and atherosclerosis - rel...

WAKE-Up Exoskeleton to Assist Children With Cerebral Palsy: Design and Preliminary Evaluation in Level Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents the modular design and control of a novel compliant lower limbmulti-joint exoskeleton for the rehabilitation of ankle kneemobility and locomotion of pediatric patients with neurological diseases, such as Cerebral Palsy (CP). The d...

Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

Journal of neural engineering
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, ...

Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis.

IEEE journal of biomedical and health informatics
Effective sleep analysis is hampered by the lack of automated tools catering to disordered sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning on a set of 57 EEG features extracted from a maximum of two EEG channe...