Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Individual differences of P300 potentials lead to that a large amount of training data must be colle...
The steady state motion visual evoked potential (SSMVEP)-based brain computer interface (BCI), which...
We developed the isokinetic exercise robot for single joint muscle training. The purpose of this stu...
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improv...
Socially Assistive Robotics (SAR) has shown to be an important tool to assist patients in physical r...
Since 2012, we have been developing a remote-controlled robotic system (Zerobot®) for needle inserti...
A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, ...
BACKGROUND: P300-spellers are brain-computer interface (BCI)-based character input systems. Support ...
BACKGROUND: Massage robot is considered as an effective physiological treatment to relieve fatigue, ...
In this work we propose a novel method based on sEMG signals, easy and fast to perform, administered...
The ability to monitor eye closures and blink patterns has long been known to enable accurate assess...
Objective The intelligent arm-support system, iArmS, which follows the surgeon's arm and automatical...
A previously healthy 24 yo male presented with a two-month history of epigastric pain, nausea, vomit...
Glass-free three-dimensional (3D) endoscopic provide excellent depth perception without decreasing l...
Brain-computer interfaces have been extensively studied and used in order to aid patients suffering ...
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-me...
OBJECTIVE: The use of machine-learning algorithms to classify alerts as real or artifacts in online ...
This thesis contains four studies all focusing on women with endometrial cancer undergoing robotic-a...
A 60-year-old man underwent total gastrectomy with Japanese D2 lymph node dissection for advanced ga...
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices,...
The occurrence of +Gz-induced loss of consciousness (G-LOC) is well recognized in high-performance a...