Latest AI and machine learning research in sports medicine for healthcare professionals.
In this issue of Archives of Physical Medicine and Rehabilitation, Jessica McCabe and colleagues report findings from their methodologically sound, dose-matched clinical trial in 39 patients beyond 6 months poststroke. In this phase II trial, the effects of 60 treatment sessions, each involving 3.5 hours of intensive practice plus either 1.5 hours of functional electrical stimulation (FES) or a sh...
Robots are a promising tool for rehabilitation, and research suggests combining assistance with subject participation to maintain motivation and engagement. In this study, we compare two different types of robotic assistance for hand rehabilitation: Tone, a novel method designed to directly compensate for the user's hypertonia, and Spring, a commonly used method simulating a spring-like force attr...
Cerebrovascular accident (CVA) or stroke is one of the leading causes of disability and loss of motor function. Millions of people around the world ar...
BACKGROUND: Augmented physical training with assistance from robot and neuromuscular electrical stimulation (NMES) may introduce intensive motor impro...
This paper presents the design, implementation and experimental validation of a novel robotic haptic exoskeleton device to measure the user's hand mot...
PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with combined meniscal tear, meniscal suture and partia...
The development of an innovative functional assessment procedure based on the combination of electroencephalography (EEG) and robot-assisted upper lim...
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "New Methodologies for Patients Rehabilitation".
INTRODUCTION: We investigated the feasibility of using computer-assisted arm rehabilitation (CAAR) computer games in schools. Outcomes were children's...
A better understanding of cortical modifications related to movement preparation and execution after robot-assisted training could aid in refining reh...
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and wa...
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducin...
PURPOSE: Robotics-assisted tilt-table (RTT) technology allows neurological rehabilitation therapy to be started early thus alleviating some secondary ...
PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering walking ability in non-ambulatory subacute stroke s...
BACKGROUND: Robotics and related technologies are realizing their promise to improve the delivery of rehabilitation therapy but the mechanism by which...
Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation treatment by assisting therapists and patients in n...
Background: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD). However, most proteomic studies of DKD rely on bulk ki...
Background: Pediatric traumatic brain injury (TBI) is associated with increased psychopathology, but the neural alterations underlying this vulnerabil...
The 3D center of mass (CoM) is a primary quantity in the biomechanical analysis of sport, rehabilitation, and clinical movement, yet existing 3D pose ...
Genetic variation among microbial strains of the same species can profoundly influence their phenotypes, ecological functions, and impacts on human he...