DataGait
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Developmental Status
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| Developmental Status of OM |
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DataGait was launched on 1st February 2011
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General Information
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| Author/s or Creator/s |
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Oxford Brookes University, Oxford, UK
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| Objectives |
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DataGait is a sensor and software device for measuring gait.
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| Category of Outcome Measure |
Pathology
Impairment
Functional
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| Chronology of Development |
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The design of the device was finalised in 2010 as the motion sensor itself reached a new level of sophistication, such that the accelerometers, magnetometers and gyroscopes incorporated in the unit could provide integrated motion and positioning information of high accuracy. The key to the product, though, is the software, based on quaternion mathematics. The software has enabled the accuracy previously achieved with motion sensors to be significantly improved.
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| Time to Complete |
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15 minutes (the protocol features a 10 metre walk, then a turn and a 10 metre return walk)
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| Mode of Assessment |
Administered by trained evaluator
Approximately 1 hrs training required.
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| Age Group |
Children (2 to 11 Years)
Adolescents (12 to 15 Years)
Adults (16 Years and Over)
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| Languages |
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Original |
Definitive Validated Translation |
Informal Translation |
| English UK |
X |
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| Conditions of Use and Contact Information |
| Conditions of Use |
Payment of Profit Fee (Commercial/Pharmaceutical)
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| Copyright Owner |
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Oxford Brookes University
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| Organisation Name |
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Oxford Brookes University
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| Postal Address |
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Movement Science Group, Oxford Brookes University,
Headington Campus, Gipsy Lane, Oxford OX3 OBP, UK
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Device
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| Description |
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DataGait is a sensor and software package. The wireless motion sensor in DataGait is otherwise known as an Inertial Measurement Unit or IMU. This is the size of a matchbox and is stuck to the lower back of the patient, at the body’s projected centre of mass. To achieve laboratory-standard performance, the wireless motion sensor in DataGait incorporates accelerometers, gyroscopes and magnetometers. Combined, these give accurate measurements of acceleration, velocity, position and orientation.
As the patient completes a 20 metre walk the IMU transmits data wirelessly to a laptop supplied as part of the package or to the customer’s own computer. The data are then subject to analysis by a sophisticated software package, based on quaternion mathematics.
Gait parameters measured by DataGait include step time, cadence (steps/min, an indication of walking rhythm), step lengths for each leg, stride length (i.e. two steps), average walking speed and Froude Number (an indication of optimal energy expenditure). DataGait generates a rich data set, which depicts accurately the patient’s condition in terms of, for example, symmetry, sway and step variability.
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| Purpose/Use |
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The fast assessment of patients’ gait , to a degree of reproducibility that the accurate monitoring of patients at intervals over long periods is feasible.
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| Organisation Name |
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Oxford Brookes University
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| Address |
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Movement Science Group, Oxford Brookes University, Headington Campus, Gipsy Lane, Oxford OX3 OBP, UK
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| Instruction Manual Availability |
An instruction manual is available
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Reference 1
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| Reference Details |
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Esser P, Dawes H, Collett J, Howells K; (2009) IMU: Inertial Sensing of Vertical CoM Movement; Journal of Biomechanics; Vol. 42; pp. 1578-81.
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Reference 2
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| Other Information |
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A digest of news items on DataGait
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Reference 3
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| Reference Details |
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Esser, P., et al., Validity and inter-rater reliability of inertial gait measurements in Parkinson's disease: A pilot study. J Neurosci Methods, 2012 (in press)
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Reference 4
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Esser, P., et al., Assessment of spatio-temporal gait parameters using inertial measurement units in neurological populations. Gait Posture, 2011. 34: p. 558-560.
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