Denise Taylor

Prof. Denise Taylor

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Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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19 November 2013 in Postgraduate Medical Journal
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Journal Article
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DTDenise Taylor
Denise Taylor
There is evidence from high quality studies to strongly support the positive association between increased levels of physical activity, exercise participation and improved health in older adults. Worldwide, around 3.2 million deaths per year are being attributed to inactivity. In industrialised countries where people are living longer lives, the levels of chronic health conditions are increasing and the levels of physical activity are declining. Key factors in improving health are exercising at a moderate-to-vigorous level for at least 5 days per week and including both aerobic and strengthening exercises. Few older adults achieve the level of physical activity or exercise that accompanies health improvements. A challenge for health professionals is to increase physical activity and exercise participation in older adults. Some success in this has been reported when physicians have given specific, detailed and localised information to their patients, but more high quality research is needed to continue to address this issue of non-participation in physical activity and exercise of a high enough level to ensure health benefits.

1 January 2008 in Sports Medicine
Verified
Journal Article
Closed access
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BABridget Armstrong
Bridget Armstrong
PMPeter McNair
Peter McNair
DTDenise Taylor
Denise Taylor

1 June 2016 in Neural Networks
Verified
Journal Article
Closed access
Nikola Kirilov KasabovNikola Kirilov Kasabov
Nikola Kirilov Kasabov
NSNathan Matthew Scott
Nathan Matthew Scott
ETEnmei Tu
Enmei Tu
SMStefan Marks
Stefan Marks
NSNeelava Sengupta
Neelava Sengupta
JYJie Yang
Jie Yang

15 May 2012 in Journal of the American Geriatrics Society
Verified
Journal Article
Closed access
PDF file
DTDenise Taylor
Denise Taylor
LHLeigh Hale
Leigh Hale
PSPhilip Schluter
Philip Schluter
DWDebra L. Waters
Debra L. Waters
EBElizabeth E. Binns
Elizabeth E. Binns
SWSteven L. Wolf
Steven L. Wolf

9 August 2010 in Disability and Rehabilitation
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Journal Article
Closed access
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NKNicola M. Kayes
Nicola M. Kayes
KMKathryn M. McPherson
Kathryn M. McPherson
DTDenise Taylor
Denise Taylor
PSPhilip Schluter
Philip Schluter
GKGregory Kolt
Gregory Kolt
Purpose. To explore the barriers and facilitators to engagement in physical activity from the perspective of people with multiple sclerosis (MS). Method. This study adopted a qualitative descriptive design, using semi-structured interviews. Participants were recruited through local MS Societies and one District Health Board as part of a larger study. Ten people with a definite diagnosis of MS were purposefully selected aiming for diversity on a range of characteristics. Results. A number of factors were identified that seemed to interact and work to tip the decisional balance regarding physical activity engagement for people with MS. The most prominent themes included beliefs about physical activity; related emotional responses; and the role of fatigue in the decision to take part in physical activity. One of the most striking findings was the apparent tension surrounding the decision to take part in physical activity which seemed to be related to the co-existence of conflicting beliefs. Conclusions. For people with MS, the decision to engage in physical activity (or not) is complex, fluid and individual; made more complex by the unpredictable nature of MS. Rehabilitation professionals attempting to engage people with MS in a physical activity programme should consider adopting an individualised approach to barrier management which takes into account personal beliefs and perceptions regarding physical activity engagement.

25 August 2015 in Journal of Neural Engineering
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Journal Article
Closed access
MJMads Jochumsen
Mads Jochumsen
Imran Khan NiaziImran Khan Niazi
Imran Khan Niazi
DTDenise Taylor
Denise Taylor
DFDario Farina
Dario Farina
KDKim Dremstrup
Kim Dremstrup
To detect movement intention from executed and imaginary palmar grasps in healthy subjects and attempted executions in stroke patients using one EEG channel. Moreover, movement force and speed were also decoded. Fifteen healthy subjects performed motor execution and imagination of four types of palmar grasps. In addition, five stroke patients attempted to perform the same movements. The movements were detected from the continuous EEG using a single electrode/channel overlying the cortical representation of the hand. Four features were extracted from the EEG signal and classified with a support vector machine (SVM) to decode the level of force and speed associated with the movement. The system performance was evaluated based on both detection and classification. ∼ 75% of all movements (executed, imaginary and attempted) were detected 100 ms before the onset of the movement. ∼ 60% of the movements were correctly classified according to the intended level of force and speed. When detection and classification were combined, ∼ 45% of the movements were correctly detected and classified in both the healthy and stroke subjects, although the performance was slightly better in healthy subjects. The results indicate that it is possible to use a single EEG channel for detecting movement intentions that may be combined with assistive technologies. The simple setup may lead to a smoother transition from laboratory tests to the clinic.