T Claire Davies

Dr. T Claire Davies

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2013 in Journal of NeuroEngineering and Rehabilitation
Verified
Journal Article
Open access
PDF file
MZMingming Zhang
Mingming Zhang
TDT Claire Davies
T Claire Davies
SXSheng Quan XIE
Sheng Quan XIE
The aim of this study was to provide a systematic review of studies that investigated the effectiveness of robot-assisted therapy on ankle motor and function recovery from musculoskeletal or neurologic ankle injuries. Thirteen electronic databases of articles published from January, 1980 to June, 2012 were searched using keywords 'ankle*', 'robot*', 'rehabilitat*' or 'treat*' and a free search in Google Scholar based on effects of ankle rehabilitation robots was also conducted. References listed in relevant publications were further screened. Eventually, twenty-nine articles were selected for review and they focused on effects of robot-assisted ankle rehabilitation. Twenty-nine studies met the inclusion criteria and a total of 164 patients and 24 healthy subjects participated in these trials. Ankle performance and gait function were the main outcome measures used to assess the therapeutic effects of robot-assisted ankle rehabilitation. The protocols and therapy treatments were varied, which made comparison among different studies difficult or impossible. Few comparative trials were conducted among different devices or control strategies. Moreover, the majority of study designs met levels of evidence that were no higher than American Academy for Cerebral Palsy (CP) and Developmental Medicine (AACPDM) level IV. Only one study used a Randomized Control Trial (RCT) approach with the evidence level being II. All the selected studies showed improvements in terms of ankle performance or gait function after a period of robot-assisted ankle rehabilitation training. The most effective robot-assisted intervention cannot be determined due to the lack of universal evaluation criteria for various devices and control strategies. Future research into the effects of robot-assisted ankle rehabilitation should be carried out based on universal evaluation criteria, which could determine the most effective method of intervention. It is also essential to conduct trials to analyse the differences among different devices or control strategies.

1 March 2004 in Experimental Brain Research
Verified
Journal Article
Closed access
PDF file
APAftab E. Patla
Aftab E. Patla
ENEwa Niechwiej
Ewa Niechwiej
TDT Claire Davies
T Claire Davies

15 May 2022 in Disability and Rehabilitation: Assistive Technology
Verified
Journal Article
Open access
EHElizabeth R. Hoskin
Elizabeth R. Hoskin
MCMorag K. Coyne
Morag K. Coyne
MWMichael J. White
Michael J. White
SDStephan CD Dobri
Stephan CD Dobri
TDT Claire Davies
T Claire Davies
SPShane D. Pinder
Shane D. Pinder
Despite the well-documented importance of braille for people who are blind or visually impaired, few studies explore technology for facilitating braille literacy education. Evaluations of the impac...

1 April 2014 in Gait & Posture
Verified
Journal Article
Closed access
YZYanxin Zhang
Yanxin Zhang
RRRichard Roxburgh
Richard Roxburgh
LHLiang Huang
Liang Huang
JPJohn Parsons
John Parsons
TDT Claire Davies
T Claire Davies

10 May 2010 in Developmental Medicine & Child Neurology
Verified
Journal Article
Closed access
PDF file
TDT Claire Davies
T Claire Davies
SMSuzie Mudge
Suzie Mudge
SAShanthi Ameratunga
Shanthi Ameratunga
NSN Susan Stott
N Susan Stott

23 December 2015 in Disability and Rehabilitation: Assistive Technology
Verified
Journal Article
Closed access
PDF file
STSarvnaz Taherian
Sarvnaz Taherian
DSDmitry Selitskiy
Dmitry Selitskiy
JPJames Pau
James Pau
TDT Claire Davies
T Claire Davies
Purpose: Using a commercial electroencephalography (EEG)-based brain–computer interface (BCI), the training and testing protocol for six individuals with spastic quadriplegic cerebral palsy (GMFCS and MACS IV and V) was evaluated. Method: A customised, gamified training paradigm was employed. Over three weeks, the participants spent two sessions exploring the system, and up to six sessions playing the game which focussed on EEG feedback of left and right arm motor imagery. Results: The participants showed variable inconclusive results in the ability to produce two distinct EEG patterns. Participant performance was influenced by physical illness, motivation, fatigue and concentration. Conclusions: The results from this case study highlight the infancy of BCIs as a form of assistive technology for people with cerebral palsy. Existing commercial BCIs are not designed according to the needs of end-users.