Posts Tagged gait
Using smart algorithms to help the brain develop a new way of walking after a stroke. Incredible advances in rehab technologies!
In the United States, there are approximately 17,000 new cases of spinal cord injury (SCI) every year. Of these, 20 percent result in complete paraplegia (paralysis of the legs and lower half of body) and over 13 percent result in tetraplegia (paralysis of all four limbs).
But SCI is not the only reason that people experience this type of disability. Stroke, multiple sclerosis, cerebral palsy, and a range of other neurological disorders can all lead to paralysis. In fact, a recent survey estimated that in the U.S., almost 5.4 million people live with paralysis, with stroke being the leading cause of this disability.
Now, researchers from the National Centre of Competence in Research Robotics at École Polytechnique Fédérale de Lausanne (EPFL), and at the Lausanne University Hospital in Switzerland, have come up with a groundbreaking technology that may help these patients to regain their locomotor skills.
The scientists came up with an algorithm that helps a robotic harness to facilitate the movements of the patients, thus enabling them to move naturally.
The new research has been published in the journal Science Translational Medicine, and the first author of the study is Jean-Baptiste Mignardot.
Helping people to walk again
Current rehabilitation technologies for people with motor disabilities as a result of SCI or stroke involve walking on a treadmill, with the upper torso being supported by an apparatus. But existing technologies are either too rigid or do not allow the patients to move naturally in all directions.
As the authors of the new study explain, the challenge of locomotor rehabilitation resides in helping the nervous system to “relearn” the right movements. This is difficult due to the loss of muscle mass in the patients, as well as to the neurological wiring that has “forgotten” correct posture.
In order to overcome these obstacles and promote natural walking, Mignardot and colleagues designed an algorithm that coordinates with a robotic rehabilitation harness. The team tested the algorithm in more than 30 patients. The “smart walk assist” markedly and immediately improved the patients’ locomotor abilities.
This mobile harness, which is attached to the ceiling, enables patients to walk. This video shows how it works:
Additionally, after only 1 hour of training with the harness and algorithm, the “unsupported walking ability” of five of the patients improved considerably. By contrast, 1 hour on a conventional treadmill did not improve gait.
The researchers developed the so-called gravity-assist algorithm after carefully monitoring the movements of the patients and considering parameters such as “leg movement, length of stride, and muscle activity.”
As the authors explain, based on these measurements, the algorithm identifies the forces that must be applied to the upper half of the body in order to allow for natural walking.
The smart walk assist is an innovative body-weight support system because it manages to resist the force of gravity and push the patient back and forth, to the left and to the right, or in more of these directions at once, which recreates a natural gait and movement that the patients need in their day to day lives.
Grégoire Courtine, a neuroscientist at EPFL and the Lausanne University Hospital, comments on the significance of the findings, saying, “I expect that this platform will play a critical role in the rehabilitation of walking for people with neurological disorders.”
“This is a smart, discreet, and efficient assistance that will aid rehabilitation of many persons with neurological disorders.”
Prof. Jocelyne Bloch, Department of Neurosurgery, Lausanne University Hospital
[ARTICLE] Effect of upper extremity coordination exercise during standing on the paretic side on balance, gait ability and activities of daily living in persons with stroke – Full Text PDF
Objective: The purpose of this study was to determine the effect of upper extremity coordination exercise (UECE) during standing on the paretic side on balance, gait ability and activities of daily living (ADL) in persons with stroke.
Design: A randomized controlled trial.
Methods: A total of 27 patients with hemiplegic diagnosis after stroke were divided into two groups. Fourteen patients were in the study group and 13 patients were in the control group. The study group received conventional physical therapy and UECE during standing on the paretic side. The control group received conventional physical therapy and simple upper extremity exercise (SUEE). Subjects in both groups were given upper extremity training for 30 minutes per day, five times a week for 4 weeks. Initial evaluation was performed before treatment and reevaluated 4 weeks later to compare the changes of balance, gait ability and ADL (Korean version of modified Barthel index, K-MBI).
Results: Both groups showed a significant effect for balance, gait ability and ADL (p<0.05). In the Independent t-test, between both groups showed a significant effect for balance and gait ability except ADL (p<0.05).
Conclusions: In this paper, we investigated the changes in balance, walking, and ADL through UECE. We found significant changes in the study group and the control group. Results of the present study indicated that UECE during standing on the paretic side for 4 weeks had an effect on balance, gait ability and ADL (K-MBI) in persons with hemiplegia after stroke.
[A Case Study] A Clinical Framework for Functional Recovery in a Person With Chronic Traumatic Brain Injury – Full Text
Background and Purpose: This case study describes a task-specific training program for gait walking and functional recovery in a young man with severe chronic traumatic brain injury.
Case Description: The individual was a 26-year-old man 4 years post–traumatic brain injury with severe motor impairments who had not walked outside of therapy since his injury. He had received extensive gait training prior to initiation of services. His goal was to recover the ability to walk.
Intervention: The primary focus of the interventions was the restoration of walking. A variety of interventions were used, including locomotor treadmill training, electrical stimulation, orthoses, and specialized assistive devices. A total of 79 treatments were delivered over a period of 62 weeks.
Outcomes: At the conclusion of therapy, the client was able to walk independently with a gait trainer for approximately 1km (over 3000 ft) and walked in the community with the assistance of his mother using a rocker bottom crutch for distances of 100m (330 ft).
Discussion: Specific interventions were intentionally selected in the development of the treatment plan. The program emphasized structured practice of the salient task, that is, walking, with adequate intensity and frequency. Given the chronicity of this individual’s injury, the magnitude of his functional improvements was unexpected.
Video Abstract available for additional insights from the Authors (see Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A175).
Each year at least 1.7 million traumatic brain injuries (TBIs) occur in the United States, which cost an estimated $76.5 billion.1 In addition, 43% of persons discharged home after hospitalization develop long-term disability.1 The sequelae of a TBI can include motor, cognitive, behavioral, and emotional dysfunctions.2 The resulting motor impairments can impact a person’s independence and participation in his or her life roles.3
Independent gait is a common therapy goal for most individuals post–brain injury. In one study, 73.3% of persons achieved independent gait by 5 months postinjury.4 It is interesting that gait recovery occurred early, suggesting that recovery of independent gait more than 3 to 4 months after injury is much less likely.4 Impairments of gait after TBI are common, including decreased velocity, step length, altered stance and swing times, and varied kinematics.5 The inability of a person post-TBI to traverse his environment using upright mobility can limit performance of basic care skills. One study estimated that approximately 33% of individuals post-TBI required assistance with at least 2 activities of daily living (ADLs).6 This high level of dependence places an extraordinary burden on caregivers.7
There is not a consensus on best practice for gait recovery after TBI.8 Although it is generally understood that early intervention creates the best environment for promoting neuroplasticity,9 addressing gait recovery after TBI is often complicated and delayed by musculoskeletal and internal injuries and by altered levels of consciousness.4,10 There is limited and conflicting literature to support the use of locomotor treadmill training (LTT) as a gait training method. There have been 2 randomized controlled trials comparing LTT with conventional gait training and neither found LTT to be superior.11,12 A third study compared manually assisted LTT with robotic-assisted LTT and found gait improvements in persons with chronic TBI with both interventions.13 In addition to these 3 research articles, there have been 3 case series/studies, Seif-Naraghi and Herman14 reported on 2 individuals in which LTT improved ambulatory independence. Likewise, Wilson and Swaboda15 found improvements in gait using LTT with 2 individuals. Scherer16 used LTT with an individual 7 months post-TBI and saw improvements in gait.
Beyond LTT, there is limited evidence to support the use of other interventions for improving gait in persons with TBI. One study found functional electrical stimulation (FES) to be successful for gait recovery with a patient with a chronic TBI when many other interventions had failed.17 There is, however, stronger evidence for the use of FES in other populations. A systematic review found a modest benefit of FES for strengthening in persons with stroke.18 Functional electrical stimulation–assisted gait has been studied in the spinal cord injury population with good outcomes.19–21
Considering the prevalence of TBI and the associated costs, it is critical to explore viable treatment options for recovery of function, especially gait. It is particularly critical to consider treatment options for the growing number of individuals with chronic TBI, many of whom have poor gait prognosis.4 Despite the limited TBI-specific evidence available to guide treatment planning, there is a substantial body of motor learning research available to guide the development of effective treatment plans.9,22–26 Critical to these plans are elements such as salience, intensity, repetition, and task specificity. This case study details a comprehensive outpatient treatment program, which included LTT and FES, as well as other interventions, for a 26-year-old man with a severe chronic TBI after a motor vehicle accident. […]
[ARTICLE] Hemorrhagic versus ischemic stroke: Who can best benefit from blended conventional physiotherapy with robotic-assisted gait therapy? – Full Text
Contrary to common belief of clinicians that hemorrhagic stroke survivors have better functional prognoses than ischemic, recent studies show that ischemic survivors could experience similar or even better functional improvements. However, the influence of stroke subtype on gait and posture outcomes following an intervention blending conventional physiotherapy with robotic-assisted gait therapy is missing.
This study compared gait and posture outcome measures between ambulatory hemorrhagic patients and ischemic patients, who received a similar 4 weeks’ intervention blending a conventional bottom-up physiotherapy approach and an exoskeleton top-down robotic-assisted gait training (RAGT) approach with Lokomat.
Forty adult hemiparetic stroke inpatient subjects were recruited: 20 hemorrhagic and 20 ischemic, matched by age, gender, side of hemisphere lesion, stroke severity, and locomotor impairments. Functional Ambulation Category, Postural Assessment Scale for Stroke, Tinetti Performance Oriented Mobility Assessment, 6 Minutes Walk Test, Timed Up and Go and 10-Meter Walk Test were performed before and after a 4-week long intervention. Functional gains were calculated for all tests.
Hemorrhagic and ischemic subjects showed significant improvements in Functional Ambulation Category (P<0.001 and P = 0.008, respectively), Postural Assessment Scale for Stroke (P<0.001 and P = 0.003), 6 Minutes Walk Test (P = 0.003 and P = 0.015) and 10-Meter Walk Test (P = 0.001 and P = 0.024). Ischemic patients also showed significant improvements in Timed Up and Go. Significantly greater mean Functional Ambulation Category and Tinetti Performance Oriented Mobility Assessment gains were observed for hemorrhagic compared to ischemic, with large (dz = 0.81) and medium (dz = 0.66) effect sizes, respectively.
Overall, both groups exhibited quasi similar functional improvements and benefits from the same type, length and frequency of blended conventional physiotherapy and RAGT protocol. The use of intensive treatment plans blending top-down physiotherapy and bottom-up robotic approaches is promising for post-stroke rehabilitation.
[ARTICLE] Functional Electrical Stimulation with Augmented Feedback Training Improves Gait and Functional Performance in Individuals with Chronic Stroke: A Randomized Controlled Trial – Full Text PDF
Purpose: The purpose of this study was to compare the effects of the FES-gait with augmented feedback training to the FES alone on the gait and functional performance in individuals with chronic stroke.
Methods: This study used a pretest and posttest randomized control design. The subjects who signed the agreement were randomly divided into 12 experimental groups and 12 control groups. The experimental groups performed two types of augmented feedback training (knowledge of performance and knowledge of results) together with FES, and the control group performed FES on the TA and GM without augmented feedback and then walked for 30 minutes for 40 meters. Both the experimental groups and the control groups received training five times a week for four weeks.
Results: The groups that received the FES with augmented feedback training significantly showed a greater improvement in single limb support (SLS) and gait velocity than the groups that received FES alone. In addition, timed up and go (TUG) test and six minute walk test (6MWT) showed a significant improvement in the groups that received FES with augmented feedback compared to the groups that received FES alone.
Conclusion: Compared with the existing FES gait training, augmented feedback showed improvements in gait parameters, walking ability, and dynamic balance. The augmented feedback will be an important method that can provide motivation for motor learning to stroke patients.
[ARTILE] Changes in gait kinematics and muscle activity in stroke patients wearing various arm slings – Full Text
[ARTICLE] Movement visualisation in virtual reality rehabilitation of the lower limb: a systematic review – Full Text
Virtual reality (VR) based applications play an increasing role in motor rehabilitation. They provide an interactive and individualized environment in addition to increased motivation during motor tasks as well as facilitating motor learning through multimodal sensory information. Several previous studies have shown positive effect of VR-based treatments for lower extremity motor rehabilitation in neurological conditions, but the characteristics of these VR applications have not been systematically investigated. The visual information on the user’s movement in the virtual environment, also called movement visualisation (MV), is a key element of VR-based rehabilitation interventions. The present review proposes categorization of Movement Visualisations of VR-based rehabilitation therapy for neurological conditions and also summarises current research in lower limb application.
A systematic search of literature on VR-based intervention for gait and balance rehabilitation in neurological conditions was performed in the databases namely; MEDLINE (Ovid), AMED, EMBASE, CINAHL, and PsycInfo. Studies using non-virtual environments or applications to improve cognitive function, activities of daily living, or psychotherapy were excluded. The VR interventions of the included studies were analysed on their MV.
In total 43 publications were selected based on the inclusion criteria. Seven distinct MV groups could be differentiated: indirect MV (N = 13), abstract MV (N = 11), augmented reality MV (N = 9), avatar MV (N = 5), tracking MV (N = 4), combined MV (N = 1), and no MV (N = 2). In two included articles the visualisation conditions included different MV groups within the same study. Additionally, differences in motor performance could not be analysed because of the differences in the study design. Three studies investigated different visualisations within the same MV group and hence limited information can be extracted from one study.
The review demonstrates that individuals’ movements during VR-based motor training can be displayed in different ways. Future studies are necessary to fundamentally explore the nature of this VR information and its effect on motor outcome.
Virtual reality (VR) in neurorehabilitation has emerged as a fairly recent approach that shows great promise to enhance the integration of virtual limbs in one`s body scheme  and motor learning in general . Virtual Rehabilitation is a “group [of] all forms of clinical intervention (physical, occupational, cognitive, or psychological) that are based on, or augmented by, the use of Virtual Reality, augmented reality and computing technology. The term applies equally to interventions done locally, or at a distance (tele-rehabilitation)” . The main objectives of intervention for facilitating motor learning within this definition are to (1) provide repetitive and customized high intensity training, (2) relay back information on patients’ performance via multimodal feedback, and (3) improve motivation [2, 4]. VR therapies or interventions are based on real-time motion tracking and computer graphic technologies displaying the patients’ behaviour during a task in a virtual environment.
The interaction of the user and Virtual environment can be described as a perception and action loop . This motor performance is displayed in the virtual environment and subsequently, the system provides multimodal feedback related to movement execution. Through external (e.g. vision) and internal (proprioception) senses the on-line sensory feedback is integrated into the patient’s mental representation. If necessary, the motor plan is corrected in order to achieve the given goal .
A previous Cochrane Review from Laver, George, Thomas, Deutsch, and Crotty  on Virtual Reality for stroke rehabilitation showed positive effects of VR intervention for motor rehabilitation in people post-stroke. However, grouped analysis from this review on recommendation for VR intervention provides inconclusive evidence. The author further comments that “[…] virtual reality interventions may vary greatly […], it is unclear what characteristics of the intervention are most important” (, p. 14).
Virtual rehabilitation system provides three different types of information to the patient: movement visualisation, performance feedback and context information . During a motor task the patient’s movements are captured and represented in the virtual environment (movement visualisation). According to the task success, information about the accomplished goal or a required movement alteration is transmitted through one or several sensory modalities (performance feedback). Finally, these two VR features are embedded in a virtual world (context information) that can vary from a very realistic to an abstract, unrealistic or reduced, technical environment.
Performance feedback often relies on theories of motor learning and is probably the most studied information type within VR-based motor rehabilitation. Moreover, context information is primarily not designed with a therapeutic purpose. Movement observation, however, plays an important role for central sensory stimulation therapies, such as mirror therapy or mental training. The observation or imagination of body movements facilitates motor recovery [7, 8, 9] and provides new possibilities for cortical reorganization and enhancement of functional mobility. Thus, it appears that movement visualisation may also play an important role in motor rehabilitation [10, 11, 12], although this aspect is yet to be systematically investigated .
The main goal of the present review is to identify various movement visualisation groups in VR-based motor interventions for lower extremities, by means of a systematic literature search. Secondarily, the included studies are further analysed for their effect on motor learning. This will help guide future research in rehabilitation using VR.
An interim analysis of the review published in 2013 showed six MV groups for upper and lower extremity training and additional two MV groups directed only towards lower extremity training. In this paper, we analysed only studies involving lower limb training, leading to a revision and expansion of the previously published MV groups findings [13, 14, 15].
[Abstract] “A CLINICAL FRAMEWORK FOR FUNCTIONAL RECOVERY IN A PERSON WITH CHRONIC TRAUMATIC BRAIN INJURY: A CASE REPORT” |
Background and Purpose: This case report describes a task-specific program for gait and functional recovery in a young man with severe chronic traumatic brain injury (TBI).
Case Description: The individual was a 26-year-old man 4 years post TBI with severe motor impairments who had not walked outside of therapy since his injury. He had received extensive gait training prior to initiation of services. His goal was to recover the ability to walk.
Intervention: The primary focus of the interventions was the restoration of gait. A variety of interventions were used, including locomotor treadmill training, electrical stimulation, orthoses and specialized assistive devices. A total of 79 treatments were delivered over a period of 62 weeks.
Outcomes: At the conclusion of therapy, the client was able to walk independently with a gait trainer for over 3000 feet and walked in the community with the assistance of his mother using a rocker bottom crutch for distances of up to 350 feet.
Discussion: Given the chronicity of this individual’s injury, the magnitude of his functional improvements were unexpected. However, very intentional interventions were selected in the development of his treatment plan. His potential was realized by structuring practice of the salient task, i.e. walking, with adequate intensity and frequency.
Want to read the published article?
To be alerted when this article is published, please sign up for the Journal of Neurologic Physical Therapy eTOC.
At Fourier Intelligence, we do not believe these people are fated to sit on the wheelchair in their rest life. To let them stand up, and to allow them to walk again, we started to develop a genuinely new exoskeleton products- The Fourier X1