Search

The clinical management of children with Cerebral Palsy (CP) relies upon periodic assessments of changes in the severity of gait deviations in response to clinical interventions. Current clinical practice is limited to sporadic assessments in a clinical environment and hence it is limited in its ability to estimate the impact of CP-related gait deviations in real-life conditions. Frequent home-based quantitative assessments of the severity of gait deviations would be extremely useful in scheduling clinical visits and gathering feedback about the effectiveness of intervention strategies. The use of a wearable system would allow clinicians to gather information about the severity of gait deviations in the home setting. In this paper, we present ActiveGait, a novel sensorized shoe-based system for monitoring gait deviations. The ActiveGait system was used to gather data, under supervised and unsupervised conditions, from a group of 11 children with various levels of CP-related gait deviation severities. We present a methodology to derive severity measures based on features extracted from Center of Pressure (CoP) trajectories. Results show that a Random Forest classifier is able to estimate severity scores based on the Edinburgh Visual Scale with a level of accuracy >80% adequate for clinical use.

Improved treatments and rehabilitation for cerebral palsy (CP) have led to an increased number of children with CP surviving into adulthood. Adults with CP show an increased prevalence of pain, fatigue, and musculoskeletal dysfunction, leading to a decrease in ambulatory function. Recent work has demonstrated the potential benefits of intensive task-specific gait training, including the use of robotic-driven gait orthoses, on motor recovery in children with CP. In contrast, reports of interventions aimed at improving motor function in adults with CP are lacking. This case study reports on the outcomes of a 6-week intervention of robotic-assisted gait training administered to a 52-year-old woman with right hemiplegia attributable to CP. Improvements were noted in balance, walking speed, and time to negotiate stairs at posttraining and follow-up. Gait analysis showed an increase in step length and a reduction in the period of double support. In conclusion, robotic-assisted gait training may be beneficial in enhancing locomotor function in adults with CP.

The clinical management of children with cerebral palsy (CP) relies on monitoring changes in the severity of gait abnormalities and on planning appropriate clinical interventions. Currently available technology does not make it possible to perform clinical gait evaluations as often as it would be desirable from a clinical standpoint. The use of wearable technology (e.g. a sensorized shoe) could provide an effective means to monitor changes in the severity of gait abnormalities in children with CP. In this paper, we studied a group of children with CP who showed an equinus (i.e. toe-walking) gait pattern, a gait abnormality often observed in children with CP. The aim of the study was to determine the feasibility of relying upon a sensorized shoe to assess changes in the severity of toe-walking. We demonstrated that it is possible to use features extracted from the center of pressure trajectory and ankle kinematics to predict the severity of toe-walking. Our results motivate the development and clinical testing of a sensorized shoe to assess changes in gait patterns that accompany the development, and the response to clinical interventions, of children with CP.

A protocol for clinical gait analysis is described, and data from 30 normal adult female subjects are presented. Extensive application to pathologic subjects has proven to be feasible and sufficiently accurate. The method is based on a particular location and attachment of retro-reflective markers on the body and on a particular arrangement of four TV cameras. A motion analyser measures the 3D coordinates of each marker. A modelling approach, based on individual anthropometric measurements, and a functional approach, based on kinematical considerations, are used to estimate the location of hip, knee, and ankle joint centers and the orientation of the flexion-extension axis of the knee. 3D relative and absolute movements of pelvis and lower limbs are obtained and shown to be consistent with functional anatomy.

Objectives: To quantitatively evaluate peak knee extensor torque values imparted to the posterior knee structures during gait in patients with knee recurvatum compared with torque values observed in control subjects, and to assess the predictive value of the degree of knee hyperextension and other clinical factors in estimating peak knee extensor torque., Design: A retrospective analysis of clinical and quantitative gait data obtained from patients and control subjects., Settings: A gait laboratory., Subjects: Forty-one consecutive patients with neurologically based impairments presenting with knee hyperextension during gait (52 limbs) and 46 able-bodied control subjects., Main Outcome Measure: Peak knee extensor torque during the stance period of the gait cycle., Results: Although overall, the patient average peak extensor torque was significantly greater (p < .001) than the control subjects' average value, knee extensor torques were within or below a +/- 1 standard deviation range for control subjects in 25% (13) of limbs tested. Peak knee hyperextension angle was a poor predictor of peak extensor torque; there was statistical significance (coefficient .061,p < .001) only for hyperextension angles of < or = 4 degrees. Multiple regression incorporating hyperextension angle and other clinical variables to predict peak knee extensor torque resulted in an adjusted r2 of .53., Conclusion: Patients with knee recurvatum have variable peak extensor torque values associated with their knee hyperextension. Knowledge of knee hyperextension angle and other clinical factors are only partially useful in predicting a patient's peak knee extensor torque imparted to the posterior knee structures during walking.