Results 81 to 90 of about 1,737,485 (397)

Using MediaPipe to track upper-limb reaching movements after stroke: a proof-of-principle study

open access: yesJournal of NeuroEngineering and Rehabilitation
Emerging work supports the use of artificial intelligence-based markerless motion capture systems to complement standardized clinical measures when assessing post-stroke motor recovery. MediaPipe Pose Landmarker is an open-sourced, machine learning tool,
Vaidehi Wagh   +6 more
doaj   +1 more source

Acquisition and consolidation processes following motor imagery practice

open access: yesScientific Reports, 2021
It well-known that mental training improves skill performance. Here, we evaluated skill acquisition and consolidation after physical or motor imagery practice, by means of an arm pointing task requiring speed-accuracy trade-off.
Célia Ruffino   +6 more
semanticscholar   +1 more source

The effect of somatosensory input on motor imagery depends upon motor imagery capability [PDF]

open access: yesFrontiers in Psychology, 2015
We investigated that the relationship between motor imagery ability and the effect of tactile input associated with holding a tennis racket on motor imagery of the forehand and backhand swings. The effect was assessed by the time utilized for motor imagery (mental chronometry).
Mizuguchi, Nobuaki   +3 more
openaire   +3 more sources

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

Leveraging the effector independent nature of motor imagery when it is paired with physical practice

open access: yesScientific Reports, 2020
While considered analogous to physical practice, the nature of imagery-based skill acquisition—specifically whether or not both effector independent and dependent encoding occurs through motor imagery—is not well understood.
Sarah N. Kraeutner   +4 more
doaj   +1 more source

The Effects of Sporting and Physical Practice on Visual and Kinesthetic Motor Imagery Vividness: A Comparative Study Between Athletic, Physically Active, and Exempted Adolescents

open access: yesFrontiers in Psychology, 2021
The interest of motor imagery practice on performance and motor learning is well-established. However, the impact of sporting and physical practice on motor imagery vividness is currently unclear, especially in youth.
Mohamed-Ali Dhouibi   +6 more
doaj   +1 more source

Motor imagery in REM sleep is increased by transcranial direct current stimulation of the left motor cortex (C3) [PDF]

open access: yes, 2016
This study investigates if anodal transcranial direct current stimulation (tDCS) of areas above the motor cortex (C3) influences the quantity and quality of spontaneous motor imagery experienced in REM sleep.
Abbruzzese   +69 more
core   +2 more sources

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

An uncued brain-computer interface using reservoir computing [PDF]

open access: yes, 2010
Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter   +3 more
core  

AR-PCA-HMM approach for sensorimotor task classification in EEG-based brain-computer interfaces [PDF]

open access: yes, 2010
We propose an approach based on Hidden Markov models (HMMs) combined with principal component analysis (PCA) for classification of four-class single trial motor imagery EEG data for brain computer interfacing (BCI) purposes. We extract autoregressive (AR)
Argunsah, Ali Ozgur   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy