Principles of neurorehabilitation after stroke based on motor learning and brain plasticity mechanisms

M Maier, BR Ballester, PFMJ Verschure - Frontiers in systems …, 2019 - frontiersin.org
What are the principles underlying effective neurorehabilitation? The aim of
neurorehabilitation is to exploit interventions based on human and animal studies about …

Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association

CJ Winstein, J Stein, R Arena, B Bates, LR Cherney… - Stroke, 2016 - Am Heart Assoc
Purpose—The aim of this guideline is to provide a synopsis of best clinical practices in the
rehabilitative care of adults recovering from stroke. Methods—Writing group members were …

Brain–computer interface boosts motor imagery practice during stroke recovery

F Pichiorri, G Morone, M Petti, J Toppi… - Annals of …, 2015 - Wiley Online Library
Objective Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its
benefits are debatable. Brain–computer interfaces (BCIs) can provide instantaneous and …

Interactive wearable systems for upper body rehabilitation: a systematic review

Q Wang, P Markopoulos, B Yu, W Chen… - … of neuroengineering and …, 2017 - Springer
Background The development of interactive rehabilitation technologies which rely on
wearable-sensing for upper body rehabilitation is attracting increasing research interest …

Harnessing neuroplasticity for clinical applications

SC Cramer, M Sur, BH Dobkin, C O'Brien, TD Sanger… - Brain, 2011 - academic.oup.com
Neuroplasticity can be defined as the ability of the nervous system to respond to intrinsic or
extrinsic stimuli by reorganizing its structure, function and connections. Major advances in …

Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges

JR Millán, R Rupp, GR Müller-Putz… - Frontiers in …, 2010 - frontiersin.org
In recent years, new research has brought the field of electroencephalogram (EEG)-based
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …

Wearable inertial sensor systems for lower limb exercise detection and evaluation: a systematic review

M O'Reilly, B Caulfield, T Ward, W Johnston, C Doherty - Sports Medicine, 2018 - Springer
Background Analysis of lower limb exercises is traditionally completed with four distinct
methods:(1) 3D motion capture;(2) depth-camera-based systems;(3) visual analysis from a …

The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors

BH Dobkin, A Dorsch - Neurorehabilitation and neural repair, 2011 - journals.sagepub.com
Mobile health tools that enable clinicians and researchers to monitor the type, quantity, and
quality of everyday activities of patients and trial participants have long been needed to …

Motor learning in neurological rehabilitation

MF Levin, M Demers - Disability and rehabilitation, 2021 - Taylor & Francis
While most upper limb training interventions in neurological rehabilitation are based on
established principles of motor learning and neural plasticity, recovery potential may be …

Arm motor recovery using a virtual reality intervention in chronic stroke: randomized control trial

SK Subramanian, CB Lourenço… - … and neural repair, 2013 - journals.sagepub.com
Introduction. Despite interest in virtual environments (VEs) for poststroke arm motor
rehabilitation, advantages over physical environment (PE) training have not been …