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Specialty: Rehabilitation
Education: Learning
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Total 134 results found since Jan 2013.
Adaptive multichannel FES neuroprosthesis with learning control and automatic gait assessment
FES (Functional Electrical Stimulation) neuroprostheses have long been a permanent feature in the rehabilitation and gait support of people who had a stroke or have a Spinal Cord Injury (SCI). Over time the we...
Source: Journal of NeuroEngineering and Rehabilitation - February 28, 2020 Category: Rehabilitation Authors: Philipp M üller, Antonio J. del Ama, Juan C. Moreno and Thomas Schauer Tags: Research Source Type: research
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
In clinical practice, therapists often rely on clinical outcome measures to quantify a patient ’s impairment and function. Predicting a patient’s discharge outcome using baseline clinical information may help c...
Source: Journal of NeuroEngineering and Rehabilitation - June 10, 2020 Category: Rehabilitation Authors: Yaar Harari, Megan K. O ’Brien, Richard L. Lieber and Arun Jayaraman Tags: Research Source Type: research
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
Accurate prediction of motor recovery after stroke is critical for treatment decisions and planning. Machine learning has been proposed to be a promising technique for outcome prediction because of its high ac...
Source: Journal of NeuroEngineering and Rehabilitation - September 29, 2020 Category: Rehabilitation Authors: Hiren Kumar Thakkar, Wan-wen Liao, Ching-yi Wu, Yu-Wei Hsieh and Tsong-Hai Lee Tags: Research Source Type: research
Telerehabilitation in Acquired Brain Injury
With the rapid shift to telemedicine brought on by the COVID-19 pandemic, physiatrists must get accustomed to the new technology and learn how to optimize their evaluations. For those practitioners managing patients with acquired brain injuries, which include stroke and traumatic brain injury, this can seem a daunting task given potential physical and cognitive barriers. However, as the authors discuss techniques to optimize visits, the aim is to illustrate how telehealth appointments can not only be comparable to in-person examinations but also may help increase outreach, compliance, and even satisfaction among this unique population.
Source: Physical Medicine and Rehabilitation Clinics of North America - March 6, 2021 Category: Rehabilitation Authors: Bruno S. Subbarao, Jesse Stokke, Samuel J. Martin Source Type: research
Measuring Activities of Daily Living in Stroke Patients with a Motion Machine Learning Algorithm
To investigate the feasibility to measure daily activities with wearable sensors using machine learning algorithms.
Source: Archives of Physical Medicine and Rehabilitation - March 31, 2021 Category: Rehabilitation Authors: Nathan Baune, Pin-Wei Chen, Igor Zwir, Alex W.K. Wong Tags: Late Breaking Research Papers Posters Source Type: research
Generalizing the predictive relationship between 1-month motor skill retention and Rey –Osterrieth Delayed Recall scores from nondemented older adults to individuals with chronic stroke: a short report
Motor learning is fundamental to motor rehabilitation outcomes. There is growing evidence from non-neurological populations supporting the role of visuospatial memory function in motor learning, but current pr...
Source: Journal of NeuroEngineering and Rehabilitation - June 3, 2021 Category: Rehabilitation Authors: Jennapher Lingo VanGilder, Andrew Hooyman, Pamela R. Bosch and Sydney Y. Schaefer Tags: Short report Source Type: research
Social Learning in a Virtual Environment After Stroke: A Thematic Analysis Of Stakeholder Experiences During The COVID-19 Pandemic
We explored stakeholders ’ experiences using videoconferencing to participate in group-based social learning during the COVID-19 pandemic.
Source: Archives of Physical Medicine and Rehabilitation - September 28, 2021 Category: Rehabilitation Authors: Emily Kringle, Elizabeth Skidmore, M. Carolyn Baum, Christine Rogers, Joy Hammel Tags: Research Poster 1710108 Source Type: research
Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders
Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct ...
Source: Journal of NeuroEngineering and Rehabilitation - December 18, 2021 Category: Rehabilitation Authors: Chao-Yang Kuo, Chia-Wei Liu, Chien-Hung Lai, Jiunn-Horng Kang, Sung-Hui Tseng and Emily Chia-Yu Su Tags: Research Source Type: research
Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review
Rehabilitation medicine is facing a new development phase thanks to a recent wave of rigorous clinical trials aimed at improving the scientific evidence of protocols. This phenomenon, combined with new trends ...
Source: Journal of NeuroEngineering and Rehabilitation - June 3, 2022 Category: Rehabilitation Authors: Silvia Campagnini, Chiara Arienti, Michele Patrini, Piergiuseppe Liuzzi, Andrea Mannini and Maria Chiara Carrozza Tags: Review Source Type: research
The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
Robots can generate rich kinematic datasets that have the potential to provide far more insight into impairments than standard clinical ordinal scales. Determining how to define the presence or absence of impa...
Source: Journal of NeuroEngineering and Rehabilitation - January 27, 2023 Category: Rehabilitation Authors: Delowar Hossain, Stephen H. Scott, Tyler Cluff and Sean P. Dukelow Tags: Research Source Type: research
From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management
CONCLUSION: Considerable scope remains to align AI technology with aphasia rehabilitation to empower patient-centred, customised rehabilitation and enhanced self-management.IMPLICATIONS FOR REHABILITATIONAphasia is an acquired communication disorder that impacts everyday functioning due to impairments in speech, auditory comprehension, reading, and writing.Given this communication burden, researchers have focused on utilising artificial intelligence (AI) methods for assessment, therapy and self-management.From a conceptualisation era in the early 1940s, the application of AI has evolved with significant developments in AI ...
Source: Disability and Rehabilitation - May 12, 2023 Category: Rehabilitation Authors: Achini Adikari Nelson Hernandez Damminda Alahakoon Miranda L Rose John E Pierce Source Type: research
Autonomy support encourages use of more-affected arm post-stroke
Autonomy support, which involves providing individuals the ability to control their own behavior, is associated with improved motor control and learning in various populations in clinical and non-clinical sett...
Source: Journal of NeuroEngineering and Rehabilitation - September 7, 2023 Category: Rehabilitation Authors: Sujin Kim, Yumi Shin, Yeonwoo Jeong, Seungyoung Na and Cheol E. Han Tags: Research Source Type: research
