Introduction: Since the onset of the COVID-19 pandemic, 775 million cases have been reported globally. While many individuals recover fully, a significant proportion develop persistent symptoms. Numerous studies have investigated the long-term symptoms of COVID-19; however, the full extent and impact of these symptoms remain inadequately understood.
View Article and Find Full Text PDFBackground: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.
Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.
Background And Objectives: The most effective antiseizure medications (ASMs) for poststroke seizures (PSSs) remain unclear. We aimed to determine outcomes associated with ASMs in people with PSS.
Methods: We systematically searched electronic databases for studies on patients with PSS on ASMs.
Objective: To evaluate the usefulness of electromyography at a polio clinic in identifying unperceived muscle denervation. Second, to compare people who perceived themselves as weak in 1 or both legs with those who did not.
Design: Cross-sectional study.
Objective: To identify factors, present at 3 months after COVID-19 that are associated with the level of functioning 1 year after hospitalization.
Design: Multicenter prospective observational study.
Setting: Region Västra Götaland Sweden.