Characteristics of uneven surface walking in stroke patients: Modification in biomechanical parameters and muscle activity

BACKGROUND

Stroke patients have difficulty walking in outdoor environments, including uneven surfaces, reducing their opportunities for social participation. Changes in stroke patients' gait while walking on even surfaces have been reported; however, gait alterations on uneven surfaces remain unclear.

RESEARCH QUESTION

To what extent do biomechanical parameters and muscle activity during even and uneven surface walking differ between stroke patients and healthy people?

METHODS

Twenty stroke patients and 20 age-matched healthy people walked on a 6 m even and uneven surfaces. Data on gait speed, root mean square (RMS) of trunk acceleration as a measure of gait stability, maximum joint angle, average muscle activity, and muscle activity time were quantified using accelerometers attached to the trunk, video camera images, and electromyography of lower extremities. A two-factor mixed-model analysis of variance was used to test the effects of group, surface, and group × surface interactions.

RESULTS

Gait speed decreased (p < 0.001) on the uneven surface in stroke patients and healthy people. RMS showed an interaction (p < 0.001), and the post-hoc test revealed an increase in stroke patients in the mediolateral direction during the swing phase on the uneven surface. The hip extension angle during the stance phase showed an interaction (p = 0.023), and the post-hoc test revealed a decrease in stroke patients on the uneven surface. The soleus muscle activity time showed an interaction during the swing phase (p = 0.041), and the post-hoc test revealed an increase in stroke patients compared to healthy people only on the uneven surface.

SIGNIFICANCE

While walking on an uneven surface, stroke patients showed decreased gait stability, decreased hip extension angle during stance phase, and increased ankle plantar flexor activity time during swing phase. These changes may result from impaired motor control and compensatory strategies used by stroke patients on uneven surfaces.

Trunk and lower extremity biomechanics during sit-to-stand after stroke: A systematic review

OBJECTIVES

This systematic review aimed to pool available evidence of differences in trunk and lower extremity biomechanics during the different phases of a sit-to-stand (STS) task between persons with stroke and to healthy controls.

METHODS

Four electronic databases (Medline, Web of Science, EMBASE, and Cochrane Library) were systematically searched up to, and including, December 2021. Studies were included if they investigated kinematic, kinetic and/or electromyographic outcome measures of adults with stroke during STS and compared results with healthy controls. Data from eligible studies were categorized according to STS subphases if reported (Phase I: Movement onset to seat-off; Seat-off; Phase II: Seat-off to movement termination; Whole task [if no subtasks reported]). The Newcastle-Ottawa Scale was used to assess risk of bias.

RESULTS

Twenty-one studies were included in this systematic review. Methodological quality ranged from 13% to 75%; mean score was 55%. The findings of this systematic review suggest that after stroke, people rise to stand (phase I) with increased lateral trunk flexion and displacement of the center of pressure (COP) towards the non-paretic side, decreased anterior pelvic tilt, decreased hip flexion and altered timing of lower limb muscle activation. In addition, during phase II, lateral pelvic translation and weight distribution asymmetry was increased, knee extension velocity was decreased and delayed, stabilization was decreased and COP velocity was increased compared with healthy subjects.

CONCLUSIONS

This systematic review clearly showed changes in kinematics, kinetics and muscle recruitment after stroke, with differences between the different phases of STS. Therapeutic interventions should focus on subphases of this functional task to optimize performance in daily living.

Effect of Walking Adaptability on an Uneven Surface by a Stepping Pattern on Walking Activity After Stroke

Real-world walking activity is important for poststroke patients because it leads to their participation in the community and physical activity. Walking activity may be related to adaptability to different surface conditions of the ground. The purpose of this study was to clarify whether walking adaptability on an uneven surface by step is related to daily walking activity in patients after stroke. We involved 14 patients who had hemiparesis after stroke (age: 59.4 ± 8.9 years; post-onset duration: 70.7 ± 53.5 months) and 12 healthy controls (age: 59.5 ± 14.2 years). The poststroke patients were categorized as least limited community ambulators or unlimited ambulators. For the uneven surface, the study used an artificial grass surface (7 m long, 2-cm leaf length). The subjects repeated even surface walking and the uneven surface walking trials at least two times at a comfortable speed. We collected spatiotemporal and kinematic gait parameters on both the even and uneven surfaces using a three-dimensional motion analysis system. After we measured gait, the subjects wore an accelerometer around the waist for at least 4 days. We measured the number of steps per day using the accelerometer to evaluate walking activity. Differences in gait parameters between the even and uneven surfaces were calculated to determine how the subjects adapted to an uneven surface while walking. We examined the association between the difference in parameter measurements between the two surface properties and walking activity (number of steps per day). Walking activity significantly and positively correlated with the difference in paretic step length under the conditions of different surface properties in the poststroke patients (r = 0.65, p = 0.012) and step width in the healthy controls (r = 0.68, p = 0.015). The strategy of increasing the paretic step length, but not step width, on an uneven surface may lead to a larger base of support, which maintains stability during gait on an uneven surface in poststroke patients, resulting in an increased walking activity. Therefore, in poststroke patients, an increase in paretic step length during gait on an uneven surface might be more essential for improving walking activity.

Implications of Optimal Feedback Control Theory for Sport Coaching and Motor Learning: A Systematic Review

Best practice in skill acquisition has been informed by motor control theories. The main aim of this study is to screen existing literature on a relatively novel theory, Optimal Feedback Control Theory (OFCT), and to assess how OFCT concepts can be applied in sports and motor learning research. Based on 51 included studies with on average a high methodological quality, we found that different types of training seem to appeal to different control processes within OFCT. The minimum intervention principle (founded in OFCT) was used in many of the reviewed studies, and further investigation might lead to further improvements in sport skill acquisition. However, considering the homogenous nature of the tasks included in the reviewed studies, these ideas and their generalizability should be tested in future studies.

Two types of sensorimotor strategies for whole-body movement in individuals with stroke: a pilot study

PURPOSE

This study compared the sensory-motor interactions and strategies for whole-body movement in individuals with stroke who had damaged motor system area or sensory system area in the brain.

METHODS

Participants with hemiparesis were asked to perform sit-to-stand movements while their vision was restricted, which can affect completion of the task. The participants were divided into two groups. The first group had no history of lesions in the sensory system area but did have a history of lesions in the motor system area (no damaged sensory-system: NDS). The second group had a history of lesions in the sensory system area of the brain (damaged sensory-system: DS). Center-of-pressure (COP) trajectories were measured to evaluate balance control in participants with and without vision, and numbers of sub-movements (i.e. numbers of segmented movements which reflect the degree of use of the feedback loops) were measured to evaluate feedforward and feedback control. Movement times were also measured.

RESULTS

When vision was restricted, NDS participants showed increased variability in mediolateral COP trajectories during movement and utilized mainly feedforward control. In contrast, DS participants showed reduced variability in mediolateral COP trajectories during movement and utilized additional feedback control.

CONCLUSIONS

These results demonstrate two types of strategies for whole-body movements in individuals with stroke. These differences may be attributed to whether the individual can compensate for vision with somatic senses and whether appropriate processing of somatosensory information has been lost. Individuals with hemiparesis created dexterous and flexible strategies to execute tasks successfully, depending on the characteristics of their sensorimotor disorders.