Effectiveness of correction of post-stroke motor disorders using the methods of functional electrostimulation and BFB-stabilometric postural control

2019 ◽  
Vol 119 (1) ◽  
pp. 23
Author(s):  
E. V. Kostenko ◽  
L. V. Petrova ◽  
A. V. Rylsky ◽  
M. A. Eneeva
Keyword(s):  
Postural Control ◽  
Motor Disorders ◽  
Post Stroke ◽  
Functional Electrostimulation

scholarly journals Postural Control Disturbances Induced by Virtual Reality in Stroke Patients

2021 ◽  
Vol 11 (4) ◽  
pp. 1510
Author(s):  
Charles Morizio ◽  
Maxime Billot ◽  
Jean-Christophe Daviet ◽  
Stéphane Baudry ◽  
Christophe Barbanchon ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Postural Control ◽  
Virtual Environments ◽  
Center Of Pressure ◽  
Dynamic Condition ◽  
Static Condition ◽  
Stroke Patients ◽  
Post Stroke ◽  
Subacute Stroke

People who survive a stroke are often left with long-term neurologic deficits that induce, among other impairments, balance disorders. While virtual reality (VR) is growing in popularity for postural control rehabilitation in post-stroke patients, studies on the effect of challenging virtual environments, simulating common daily situations on postural control in post-stroke patients, are scarce. This study is a first step to document the postural response of stroke patients to different challenging virtual environments. Five subacute stroke patients and fifteen age-matched healthy adults were included. All participants underwent posturographic tests in control conditions (open and closed eyes) and virtual environment without (one static condition) and with avatars (four dynamic conditions) using a head-mounted device for VR. In dynamic environments, we modulated the density of the virtual crowd (dense and light crowd) and the avoidance space with the avatars (near or far). Center of pressure velocity was collected by trial throughout randomized 30-s periods. Results showed that more challenging conditions (dynamic condition) induced greater postural disturbances in stroke patients than in healthy counterparts. Our study suggests that virtual reality environments should be adjusted in light of obtaining more or less challenging conditions.

Motor learning on postural control using auditory biofeedback training

Impact ◽  
2021 ◽  
Vol 2021 (8) ◽  
pp. 58-60
Author(s):  
Naoya Hasegawa ◽  
Tadayoshi Asaka
Keyword(s):  
Postural Control ◽  
Physical Therapists ◽  
Biofeedback Training ◽  
Motor Disorders ◽  
New Methods ◽  
3D Motion Analysis ◽  
Technological Advances ◽  
Sensory Modalities ◽  
The Central Nervous System ◽  
Training Exercises

Motor disorders are characterised by damage to the central nervous system, which subsequently affects muscles, motor skills and brain function. People with motor disorders can suffer injury as a result of falls and recovery from falls can be challenging. Augmented biofeedback modalities is an important tool used in physical therapy, providing individuals with biofeedback that helps guide them through the therapy. Biofeedback modalities have been designed for most of our senses, including auditory, visual and haptic and advances in technology have meant that biofeedback therapy can make use of wearable technology and future advances are expected to further assist. Therefore, it will be key to determine which biofeedback method works best for different training exercises and conditions in order to maximise the benefits of technological advances. Dr Naoya Hasegawa and Professor Tadayoshi Asaka are investigating which biofeedback method works best for different therapies. Their goal is to understand the characteristics of sensory modalities used for biofeedback training in order to help physical therapists determine appropriate approaches for different individuals. The researchers are currently investigating postural control with a view to defining the characteristics of postural control during walking and standing and developing new methods to enhance or improve it. This work involves the use of force plates, 3D motion analysis systems and electromyograms.

scholarly journals Relationship between postural control in upright stance and virtual reality in post-stroke individuals

2020 ◽  
Vol 33 ◽  
Author(s):  
João Paulo Paes ◽  
Alaércio Perotti Junior ◽  
Ana Maria Forti Barela ◽  
José Angelo Barela
Keyword(s):  
Virtual Reality ◽  
Postural Control ◽  
Center Of Pressure ◽  
Mean Amplitude ◽  
Berg Balance Scale ◽  
Upright Stance ◽  
Nintendo Wii ◽  
Mean Velocity ◽  
Post Stroke ◽  
Time Required

Abstract Introduction: Considered the second leading cause of death worldwide, stroke leads to several consequences resulting from the injury in regions responsible for the processing of sensorimotor information, leading to deficits in the maintenance and performance of postural control. Objective: To relate the performance of postural control during upright stance and a virtual reality task in post-stroke individuals. Method: Nine post-stroke individuals, aged 30 to 76 years, characterized by the Berg balance scale, Fugl - Meyer scale and Mini Mental State Examination participated in this study. Postural performance was measured by the center of pressure under bipedal conditions, in anteroposterior and mediolateral directions and unipedal with the affected and unaffected sides, using a force platform. Virtual reality performance was measured by distance and time required to perform a task in the Nintendo Wii®. Results: Revealed significant correlations between distance and displacement time of the affected side (distance x disc_affected = 0.667 | p = 0.025; time x disc_affected = 0.683 | p = 0.021) and between variables time and mean amplitude of mediolateral oscillation (time x amo_ml = -0.733 | p = 0.012), time and mediolateral and anteroposterior mean velocity (time x vm_ml = -0.617 | p = 0.038; time x vm_ap = -0.833 | p = 0.003) and between time and area (time x area = -0.633 | p = 0.034). Conclusion: the performance of standing postural control in post-stroke individuals, represented by measures of weight discharge and variables of postural control, presented a significant relation with the variables of virtual reality.

scholarly journals Possibilities of modern neuroimaging techniques in the diagnostics and neuromonitoring of the recovery process in patients after ischemic stroke

2018 ◽  
Vol 9 (2) ◽  
pp. 4-11
Author(s):  
E. V. Ekusheva ◽  
E. S. Kiparisova ◽  
O. O. Kurzanceva ◽  
O. A. Smirnova
Keyword(s):  
Ischemic Stroke ◽  
Recovery Process ◽  
Motor Disorders ◽  
Post Stroke ◽  
Primary Disability ◽  
Rehabilitation Measures ◽  
Neuroimaging Techniques

Ischemic stroke is still leading in terms of primary disability caused by residual neurologic de-fect in the majority of patients. Persistent motor disorders are observed even after timely and ade-quately carried out rehabilitation measures. The article discusses the possibilities of modern instru-mental technologies for diagnostics and further monitoring of the process of restoration of post-stroke deficit, which is based on the phenomenon of neuroplasticity.

scholarly journals Learning of a postural control task by elderly post-stroke patients

Motricidade ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 141
Author(s):  
Giordano Marcio Gatinho Bonuzzi ◽  
Tatiana Beline Freitas ◽  
Umberto Cesar Corrêa ◽  
Andrea Michele Freudenheim ◽  
José Eduardo Pompeu ◽  
...  
Keyword(s):  
Motor Learning ◽  
Postural Control ◽  
Learning Process ◽  
Healthy Subjects ◽  
Task Complexity ◽  
Control Group ◽  
Control Task ◽  
Stroke Patients ◽  
Post Stroke ◽  
Experimental Group

<p class="ResumoAbstract">The aim of this study was to compare the learning process of a postural control task between post-stroke patients and healthy subjects. The sample was composed of 20 post-stroke individuals (Experimental Group) and 20 aged matched healthy individuals (Control Group). Participants practiced a postural control task in a virtual environment with increasing of complexity. The study design involved four phases: pre-test (five trials), acquisition phase (four blocks of thirty minutes), post-test (five trials), and retention test (five trials after a week without practice). The statistical analysis was run by a 2 x 3 ANOVA (groups x learning tests). Results: There was no difference in motor learning between Experimental Group and Control Group (F= 41.22; p=0.88). In addition, it was founded that the Control Group could learn the task in a higher-level complexity than Experimental Group (F = 4.77; p = 0.01), and both groups increased the error during the trials of practice (F = 0.53; p = 0.00) because of task complexity.  Conclusion: Therefore has been found that post-stroke individuals have the ability to learn a postural control task similar to healthy subjects, and the task complexity seems to be a key-factor in order to differentiate stroke from healthy subject's motor learning process.</p>

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