Literature DB >> 33945135

What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.

Caitlin Carswell1, Paul M Rea2.   

Abstract

Worldwide, it is estimated that millions of individuals suffer from a neurological disorder which can be the result of head injuries, ischaemic events such as a stroke, or neurodegenerative disorders such as Parkinson's disease (PD) and multiple sclerosis (MS). Problems with mobility and hemiparesis are common for these patients, making daily life, social factors and independence heavily affected. Current therapies aimed at improving such conditions are often tedious in nature, with patients often losing vital motivation and positive outlook towards their rehabilitation. The interest in the use of digital technology in neuro-rehabilitation has skyrocketed in the past decade. To gain insight, a systematic review of the literature in the field was conducting following the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines for three categories: stroke, Parkinson's disease and multiple sclerosis. It was found that the majority of the literature (84%) was in favour of the use of digital technologies in the management of neurological dysfunction; with some papers taking a "neutral" or "against" standpoint. It was found that the use of technologies such as virtual reality (VR), robotics, wearable sensors and telehealth was highly accepted by patients, helped to improve function, reduced anxiety and make therapy more accessible to patients living in more remote areas. The most successful therapies were those that used a combination of conventional therapies and new digital technologies.

Entities:  

Keywords:  Digital technology; Rehabilitation; Robotics; Telehealth; Virtual reality; Wearable technology

Year:  2021        PMID: 33945135     DOI: 10.1007/978-3-030-61125-5_7

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  86 in total

1.  Six-Minute Walk Test Performance in Persons With Multiple Sclerosis While Using Passive or Powered Ankle-Foot Orthoses.

Authors:  Morgan K Boes; Rachel E Bollaert; Richard M Kesler; Yvonne C Learmonth; Mazharul Islam; Matthew N Petrucci; Robert W Motl; Elizabeth T Hsiao-Wecksler
Journal:  Arch Phys Med Rehabil       Date:  2017-08-02       Impact factor: 3.966

2.  Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial.

Authors:  Rocco Salvatore Calabrò; Margherita Russo; Antonino Naro; Rosaria De Luca; Antonino Leo; Provvidenza Tomasello; Francesco Molonia; Vincenzo Dattola; Alessia Bramanti; Placido Bramanti
Journal:  J Neurol Sci       Date:  2017-03-29       Impact factor: 3.181

3.  Use of a Telehealth System to Enhance a Home Exercise Program for a Person With Parkinson Disease: A Case Report.

Authors:  Charlotte A Chatto; Paul T York; Catherine P Slade; Scott M Hasson
Journal:  J Neurol Phys Ther       Date:  2018-01       Impact factor: 3.649

4.  Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.

Authors:  Filippo Cavallo; Alessandra Moschetti; Dario Esposito; Carlo Maremmani; Erika Rovini
Journal:  Parkinsonism Relat Disord       Date:  2019-02-22       Impact factor: 4.891

5.  Does hand robotic rehabilitation improve motor function by rebalancing interhemispheric connectivity after chronic stroke? Encouraging data from a randomised-clinical-trial.

Authors:  Rocco Salvatore Calabrò; Maria Accorinti; Bruno Porcari; Luigi Carioti; Laura Ciatto; Luana Billeri; Veronica Agata Andronaco; Franco Galletti; Serena Filoni; Antonino Naro
Journal:  Clin Neurophysiol       Date:  2019-03-15       Impact factor: 3.708

6.  Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.

Authors:  Jeannine Bergmann; Carmen Krewer; Petra Bauer; Alexander Koenig; Robert Riener; Friedemann Müller
Journal:  Eur J Phys Rehabil Med       Date:  2017-12-21       Impact factor: 2.874

7.  Smart watch, smarter EDSS: Improving disability assessment in multiple sclerosis clinical practice.

Authors:  Gloria Dalla-Costa; Marta Radaelli; Simona Maida; Francesca Sangalli; Bruno Colombo; Lucia Moiola; Giancarlo Comi; Vittorio Martinelli
Journal:  J Neurol Sci       Date:  2017-10-27       Impact factor: 3.181

8.  The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Margherita Russo; Antonino Leo; Rosaria De Luca; Tina Balletta; Antonio Buda; Gianluca La Rosa; Alessia Bramanti; Placido Bramanti
Journal:  J Neuroeng Rehabil       Date:  2017-06-07       Impact factor: 4.262

9.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2015-08-20       Impact factor: 4.262

10.  Balance training using an interactive game to enhance the use of the affected side after stroke.

Authors:  Shih-Hsiang Ciou; Yuh-Shyan Hwang; Chih-Chen Chen; Shih-Ching Chen; Shih-Wei Chou; Yu-Luen Chen
Journal:  J Phys Ther Sci       Date:  2015-12-28
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  1 in total

Review 1.  Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19.

Authors:  Fereshteh Ghadiri; Abdorreza Naser Moghadasi; Mohammad Ali Sahraian
Journal:  Acta Neurol Belg       Date:  2022-01-30       Impact factor: 2.471

  1 in total

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