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WCNR 2024
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Poster zum Thema "Telerehabilitation and digital tools"
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P-582
iSpeak: a digital companion for speech assessment
Dr Chris Easthope Awai (Vitznau / CH)
P-583
Integrating artificial intelligence for enhanced data management in neurological patient care
Dr Hitav Someshwar (Mumbai / IN)
P-584
How to increase the dosage and quality of exercise at home? Retrospective real world analysis of a neurorehabilitation digital-based protocol for people with stroke
Juan Pablo Appelgren Gonzalez (Santiago / CL)
Felipe Covarrubias Escudero (Santiago / CL)
P-585
Teleneurorehabilitation program (virtual reality) for patients with balance disorders: descriptive study
Professor Marcos Maldonado (Santiago / CL)
P-586
Effect of sociodemographic variables on functional recovery of the paretic arm after applying constraint induced movement therapy in remote versus face-to-face modality
Professor Mauro Obreque (Temuco / CL)
P-587
What do therapists think about data from wearable technology for stroke rehabilitation?
Dr Marika Demers (Montreal / CA)
P-588
Speech analysis in people with apraxia: using neural networks in speech therapy to create Appraxi®
Professor Marta Lira-Batista (Teresina / BR)
Professor Rogério da Silva Batista (Teresina / BR)
P-589
Artificial Intelligence and personalized speech rehabilitation after stroke: Appraxi® is born
Professor Marta Lira-Batista (Teresina / BR)
P-592
Balance telerehabilitation for people with Parkinson's disease: the TelePD trial
Dr Carla Silva-Batista (Portland, OR / US)
P-593
Added value of telerehabilitation to provide intensive upper limb training during the chronic phase of stroke recovery: the stroke survivor's perspective
Professor Dahlia Kairy (Montreal / CA)
P-594
Preferred technology-based solutions for meeting the needs of young adults with stroke in australia: a cross-sectional study
Dr Marie-Louise Bird (Launceston / AU; Vancouver / CA)
P-595
A qualitative study of individuals with acquired brain injury and program facilitators experiences in virtual ABI community support programs
Jasleen Grewal (Vancouver / CA)
P-596
Telerehabilitation of spinocerebellar ataxias in rural india: detterents and facilitators
Professor Jui Dave (Navi Mumbai / IN)
P-597
Tele-assessments for upper extremity motor function in stroke rehabilitation – a systematic review
Lena Sauerzopf (Winterthur / CH; Zurich / CH)
P-598
Clinical efficacy of cognitive stimulation in aged subjects with mild and moderate cognitive impairment
Dr Loris Pignolo (Crotone / IT)
P-599
NeuroRehabilitation OnLine (NROL): description of a multidisciplinary group telerehabilitation innovation for stroke and neurological conditions using the TIDieR checklist
Professor Louise A. Connell (Burnley / GB; Lancaster / GB)
Dr Suzanne Ackerley (Burnley / GB; Preston / GB)
P-600
Acceptability and readiness of tele-rehabilitation among stroke survivors – a cross-sectional study – data from GUTTS (GroUp TelerehabilitaTion for Stroke Survivors) study phase 1
Dr Mandeep Mandeep (Chandigarh / IN)
P-601
Understanding physical therapists' perspectives and attitudes towards artificial intelligence in healthcare and rehabilitation: qualitative study
Dr Mashael Alsobhi (Jeddah / SA)
P-602
Acceptability of telerehabilitation among stroke survivors in Ibadan, Nigeria
Dr Olubukola A. Olaleye (Ibadan / NG)
P-603
Developing ROSIA (Remote Rehabilitation Services For Isolated Areas): the EU ROSIA pre-commercial procurement project, results of phase 1 and 2
Rajni Mamgain (Dublin / IE)
P-604
Improving neuro telerehabilitation accessibility and features: OpenTera, an open-source software platform
Simon Briere (Sherbrooke / CA)
P-605
Benefits and challenges of a regional NeuroRehabilitation OnLine (NROL) innovation
Dr Suzanne Ackerley (Burnley / GB; Preston / GB)
P-606
Digital therapeutics for knee joint recovery after total knee replacement surgery: a reliability and validity study
Professor Yeon Gyo Nam (Asan-si / KR)
P-607
An automated assessment based on deep learning pose estimation technology for upper extremity motor function following stroke
Yung-Hsu Chang (Taoyuan / TW)
v1.20.0
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