| 59628 |
Creator |
dc06daa6a9177a9cca0f41cb18e7dbc5 |
| 59628 |
Creator |
ee5c32393b6ff4341e1a64877f0af06c |
| 59628 |
Creator |
bcffbf91edca199f9e09e9bb972f7467 |
| 59628 |
Creator |
c7c2d5a5c10ce0e40df0b02262e08a65 |
| 59628 |
Creator |
ext-81187429e988cd4891c4f43a9d01b6c2 |
| 59628 |
Creator |
ext-11cce3d7a5ef8bd690405d5488de3b5e |
| 59628 |
Creator |
ext-343ba1c7e6b92fda38218e75d734d9a9 |
| 59628 |
Creator |
ext-890feec3626b202fad4f42913328eee0 |
| 59628 |
Date |
2017 |
| 59628 |
Is Part Of |
repository |
| 59628 |
Is Part Of |
p24555487 |
| 59628 |
abstract |
<b>Background</b>: Stroke affects 15 million people worldwide every year and leaves
two-thirds of survivors with significant mobility deficits including reduced walking
speed, increased unevenness of step length and asymmetry. Haptic cues, which utilise
sensory stimulation and so are unaffected by visual or auditory interference could
discreetly improve the gait of people after stroke. Therefore, the objective of this
single mixed methods case study was to evaluate the use of a novel haptic device in
a single participant after stroke.<br></br><br></br><b>Context and purpose</b>: After
initial familiarisation, gait symmetry, walking speed and cadence of a 69 year old
male stroke survivor were recorded using a Qualisys Motion Capture system whilst he
walked on a ten metre walkway, firstly without and then with a haptic device on each
leg, which provided a metronomic rhythmical vibratory cue. The participant then provided
a user evaluation of the devices using a semi structured interview.<br></br><br></br><b>Results</b>:
The haptic device was evaluated positively by the participant although he noted it
needed to be refined to increase its wear-ability and acceptability for everyday use.
Whilst gait speed and cadence remained unaltered, there was a 14% improvement in temporal
gait symmetry when wearing the haptic device, suggesting it improved this aspect of
gait.<br></br><br></br><b>Conclusion</b>: Whilst limited by its design, the findings
of this single case study indicate that the haptic device could be a novel technology-based
therapeutic adjunct to improve gait symmetry after stroke. It also provides key understanding
of user needs which can be used to guide the development of a new prototype device
for stroke survivors.<br></br><br></br><b>Brief summary</b>: Many stroke survivors
have residual mobility problems. Haptic cueing may improve walking by providing a
tactile cue that the participant follows to improve symmetry. This single case study
suggests that gait symmetry could be improved by haptic cueing and indicates factors
affecting the wear ability of such a device.<br></br> |
| 59628 |
authorList |
authors |
| 59628 |
issue |
2 |
| 59628 |
status |
peerReviewed |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803425 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803426 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803427 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803428 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803429 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/803430 |
| 59628 |
uri |
http://data.open.ac.uk/oro/document/805515 |
| 59628 |
volume |
4 |
| 59628 |
type |
AcademicArticle |
| 59628 |
type |
Article |
| 59628 |
label |
Stockley, Rachel C.; Donaldson, Glenis; Georgiou, Theo ; Holland, Simon ; van der
Linden, Janet ; Tetley, Josie ; Garbutt, Linda and Pinzone, Ornella (2017). Walk
to the Beat: A Case Report of the Use of a Novel Haptic Device to Improve Walking
after Stroke. Journal of Novel Physiotherapy and Physical Rehabilitation, 4(2) pp.
56–59. |
| 59628 |
label |
Stockley, Rachel C.; Donaldson, Glenis; Georgiou, Theo ; Holland, Simon ; van der
Linden, Janet ; Tetley, Josie ; Garbutt, Linda and Pinzone, Ornella (2017). Walk
to the Beat: A Case Report of the Use of a Novel Haptic Device to Improve Walking
after Stroke. Journal of Novel Physiotherapy and Physical Rehabilitation, 4(2) pp.
56–59. |
| 59628 |
Title |
Walk to the Beat: A Case Report of the Use of a Novel Haptic Device to Improve Walking
after Stroke |
| 59628 |
in dataset |
oro |