Analysis of gait within the uncontrolled manifold hypothesis: Stabilisation of the centre of mass during gait
| Autor: | Enrica Papi, Philip Rowe, Valerie M. Pomeroy |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Orthotic Devices medicine.medical_specialty Stroke patient medicine.medical_treatment Posture Biomedical Engineering Biophysics Walking Kinematics Postural control RZ TA164 medicine Humans Orthopedics and Sports Medicine Gait Stroke Mechanical Phenomena Rehabilitation business.industry Body Weight Motor control medicine.disease Biomechanical Phenomena Physical therapy Trajectory Feasibility Studies Female Joints business human activities |
| Zdroj: | Journal of Biomechanics. 48:324-331 |
| ISSN: | 0021-9290 |
| DOI: | 10.1016/j.jbiomech.2014.11.024 |
| Popis: | This study investigated the feasibility of the uncontrolled manifold approach (UCM) to analyse gait data variability in relation to the control of the centre of mass (COM) in adults with and without neuropathology. The proposed method was applied to six able-bodied subjects to characterise mechanisms of normal postural control during stance phase. This approach was repeated on an early stroke patient, who attended the laboratory three times at three monthly intervals, to characterise the variability of COM movement during walking with and without an orthosis. Both able-bodied subjects and the stroke participant controlled COM movement during stance but utilized a different combination of lower limb joint kinematics to ensure that the COM trajectory was not compromised. Interestingly, the stroke subject, despite a higher variability in joint kinematics, was able to maintain a stable COM position throughout stance phase. The stabilisation of the COM decreased when the patient walked unaided without the prescribed orthosis but increased over the six months of study. The UCM analysis demonstrated how a stroke patient used a range of lower limb motion pattern to stabilise the COM trajectory. It is suggested that this analysis can be used to track changes in these movement patterns in response to rehabilitation. As such we propose that this approach could have clinical utility to evaluate and prescribe rehabilitation in stroke patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect