4 research outputs found

    Action observation with motor simulation improves reactive stepping responses following strong backward balance perturbations in healthy young individuals

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    Background and objective: Adequate reactive steps are critical for preventing falls following balance perturbations. Perturbation-based balance training was shown to improve reactive stepping in various clinical populations, but its delivery is labor-intensive and generally uses expensive equipment. Action observation of reactive steps with either motor imagery (AOMI) or motor simulation (AOMS) are potential alternative training modalities. We here aimed to study their effects on reactive stepping performance. Methods: Sixty healthy young subjects were subjected to forward platform translations that elicited backward reactive steps. The AOMI group (n = 20) was tested after AOMI of an actor's reactive steps, while the AOMS group (n = 20) additionally stepped along with the actor. The control group (n = 20) was tested without any prior observation. Our primary outcome was the step quality of the first trial response, as this best represents a real-life loss-of-balance. Step quality was quantified as the leg angle with respect to the vertical at stepping-foot contact. We also studied single step success rates and reactive step quality across repeated trials. Results: Reactive step quality was significantly better in the AOMI and AOMS groups than in the control group, which differences coincided with a twofold higher single step success rate. Reactive step quality improved upon repeated trials in all groups, yet the AOMS group needed the fewest repetitions to reach plateau performance. Significance: The present results demonstrate that both AOMI and AOMS improved first and repeated trial reactive stepping performance. These findings point at the potential applicability of these concepts for home-based reactive balance training, for instance in serious games, with overt movements (AOMS) possibly having some benefits over mental imaginations (AOMI). Whether similar beneficial effects also emerge in the target populations of balance-impaired individuals remains to be investigated.</p

    The Existence of Shared Muscle Synergies Underlying Perturbed and Unperturbed Gait Depends on Walking Speed

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    Muscle synergy theory assumes that the central nervous system generates a wide range of complex motor outputs by recruiting muscle synergies with different strengths and timings. The current understanding is that a common set of muscle synergies underlies unperturbed as well as perturbed walking at self-selected speeds. However, it is not known whether this is the case for substantially slower walking. The aim of this study was to investigate whether a shared set of muscle synergies underlies balance recovery responses following inward-and outward-directed perturbations in the mediolateral direction at various perturbation onsets and walking speeds. Twelve healthy subjects walked at three walking speeds (0.4, 0.6, and 0.8 m/s) on a treadmill while perturbations were applied to the pelvis using the balance assessment robot. A set of sixteen EMG signals, i.e., eight muscles per leg, was measured and decomposed into muscle synergies and weighting curves using non-negative matrix factorization. The muscles included were left and right tibialis anterior, soleus, gastrocnemius medialis, gastrocnemius lateralis, rectus femoris, hamstring, gluteus medius, and gluteus maximus. In general, four muscle synergies were needed to adequately reconstruct the data. Muscle synergies were similar for unperturbed and perturbed walking at a high walking speed (0.8 m/s). However, the number of similar muscle synergies between perturbed and unperturbed walking was significantly lower for low walking speeds (0.4 and 0.6 m/s). These results indicate that shared muscle synergies underlying perturbed and unperturbed walking are less present during slow walking compared to fast walking

    The Existence of Shared Muscle Synergies Underlying Perturbed and Unperturbed Gait Depends on Walking Speed

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    Muscle synergy theory assumes that the central nervous system generates a wide range of complex motor outputs by recruiting muscle synergies with different strengths and timings. The current understanding is that a common set of muscle synergies underlies unperturbed as well as perturbed walking at self-selected speeds. However, it is not known whether this is the case for substantially slower walking. The aim of this study was to investigate whether a shared set of muscle synergies underlies balance recovery responses following inward- and outward-directed perturbations in the mediolateral direction at various perturbation onsets and walking speeds. Twelve healthy subjects walked at three walking speeds (0.4, 0.6, and 0.8 m/s) on a treadmill while perturbations were applied to the pelvis using the balance assessment robot. A set of sixteen EMG signals, i.e., eight muscles per leg, was measured and decomposed into muscle synergies and weighting curves using non-negative matrix factorization. The muscles included were left and right tibialis anterior, soleus, gastrocnemius medialis, gastrocnemius lateralis, rectus femoris, hamstring, gluteus medius, and gluteus maximus. In general, four muscle synergies were needed to adequately reconstruct the data. Muscle synergies were similar for unperturbed and perturbed walking at a high walking speed (0.8 m/s). However, the number of similar muscle synergies between perturbed and unperturbed walking was significantly lower for low walking speeds (0.4 and 0.6 m/s). These results indicate that shared muscle synergies underlying perturbed and unperturbed walking are less present during slow walking compared to fast walking

    A lifestyle monitoring system to support (in)formal caregivers of people with dementia: Analysis of users need, benefits, and concerns

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    Introduction Dementia is a syndrome that predominantly affects people in old age. Many older people with mild to moderate dementia live at home alone. When dementia poses problems, they must rely on informal caregivers, who have lives of their own in other places, as well as on professional home care organized by case managers. Assistive technologies, such as lifestyle monitoring, are being developed to assist informal caregivers and case managers by making remote caregiving possible. In a study conducted in the northern Netherlands, people with dementia were provided with a lifestyle monitoring system consisting of activity sensors in the home connected to an online platform. This study is intended to generate insight into needs, benefits, and concerns relating to a lifestyle-monitoring system to help informal caregivers and case managers provide care to people with dementia who are living alone. The key research questions are as follows: Which needs, benefits, and concerns are reported by informal caregivers and case managers who use lifestyle monitoring? What does the collected information indicate about the adoption of lifestyle monitoring? Methodology In the study, 63 lifestyle-monitoring systems were installed in 63 homes of people with mild to moderate dementia who were living alone. We guaranteed that the system could be used without charge until the end of the trial. We conducted telephone interviews with informal caregivers (50) near the date on which the system was installed, and again when it had been in use for approximately 300 days (41). We also interviewed case managers (13) at the beginning and at the end of the project (7). Each interview lasted about 30 minutes and consisted of closed and open questions about topics including expectations, experiences, quality of life, and care. The study took place in the rural area of the northern Netherlands from February 2015 to June 2016. Four homecare organizations provided lists of participants to include in the study. Results/conclusion The results indicate that informal caregivers perceive lifestyle monitoring as a support tool that fills a need in the provision of care for people with dementia and that its benefits outweigh the concerns. Lifestyle monitoring makes it possible to expand the informal care network such that care duties can be shared among more people, thereby relieving informal caregivers of a sense of constant responsibility
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