robotic therapy
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2021 ◽  
Vol 39 (6) ◽  
pp. 435-446
Author(s):  
Cristina Fonte ◽  
Valentina Varalta ◽  
Arianna Rocco ◽  
Daniele Munari ◽  
Mirko Filippetti ◽  
...  

Background: Upper limb motor deficits in patients with severe stroke often remain unresolved over time. Combining transcranial Direct Current Stimulation with robotic therapy is an innovative neurorehabilitation approach that holds promise to improve upper limb impairment after stroke. Objective: To investigate the effects of robotic training in combination with transcranial Direct Current Stimulation for treating poststroke upper limb impairment. Methods: PubMed, MEDLINE, Cochrane Library, and EMBASE electronic databases were searched using keywords, MeSH terms, and strings: “Stroke”[MeSH] AND (“Upper Extremity”[MeSH] OR “upper limb”) AND (“Transcranial Direct Current Stimulation” [MeSH] OR “tDCS”) AND (“robotics” OR “robotic therapy”). Full-text articles published in English up to October 2020 were included. Each was rated for quality according to the Physiotherapy Database (PEDro) score: eight out of eleven scored more than 8 points; their results were considered reliable for this review. Results: Of the total of 171 publications retrieved, 11 met the inclusion criteria. The results of studies that examined the same outcome measures were pooled to draw conclusions on the effectiveness of transcranial Direct Current Stimulation and robot-assisted training in corticomotor excitability, upper limb kinematics, muscle strength and tone, function, disability, and quality of life after stroke. Conclusions: To date, there is insufficient evidence to support the hypothesis that transcranial Direct Current Stimulation enhances the effects of robot-assisted arm training in poststroke patients. Further studies with more accurate, comparable and standardized methodology are needed in order to better define the effects of robotic training in combination with transcranial Direct Current Stimulation on poststroke upper limb impairment. Therefore, given the scarce resources available to rehabilitation researches, other, more promising approaches should be given attention.


2021 ◽  
Vol 11 (24) ◽  
pp. 12123
Author(s):  
Marco Iosa ◽  
Alex Martino Cinnera ◽  
Fioravante Capone ◽  
Alessandro Cruciani ◽  
Matteo Paolucci ◽  
...  

In the past two decades, many studies reported the efficacy of upper limb robotic rehabilitation in patients after stroke, also in its chronic phase. Among the possible advantages of robotic therapy over conventional therapy are the objective measurements of kinematic and kinetic parameters during therapy, such as the spatial volume covered by the patient’s upper limb and the weight support provided by the robot. However, the clinical meaning and the usability of this information is still questioned. Forty patients with chronic stroke were enrolled in this study and assessed at the beginning of upper limb robotic therapy (Armeo® Power) and after two weeks (ten sessions) of therapy by recording the working volume and weight support provided by the robot and by administering six clinical scales to assess upper limb mobility, strength, spasticity, pain, neurological deficits, and independency. At baseline, the working volume significantly correlated with spasticity, whereas weight support significantly correlated with upper limb strength, pain, spasticity, and neurological deficits. After two weeks of robotic rehabilitation, all the clinical scores as well as the two parameters improved. However, the percentage changes in the working volume and weight support did not significantly correlate with any of the changes in clinical scores. These results suggest caution in using the robotic parameters as outcome measures because they could follow the general improvement of the patient, but complex relationships with clinical features are possible. Robotic parameters should be analyzed in combination with the clinical scores or other objective measures because they may be informative about therapy progression, and there is a need to combine their clinical, neuroscientific, and biomechanical results to avoid misleading interpretations.


Author(s):  
Nicholas Flynn ◽  
Elspeth Froude ◽  
Deirdre Cooke ◽  
Jessica Dennis ◽  
Suzanne Kuys

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Caio B. Moretti ◽  
Dylan J. Edwards ◽  
Taya Hamilton ◽  
Mar Cortes ◽  
Avrielle Rykman Peltz ◽  
...  

Abstract Background Effectiveness of robotic therapy and transcranial direct current stimulation is conventionally assessed with clinical measures. Robotic metrics may be more objective and sensitive for measuring the efficacy of interventions on stroke survivor’s motor recovery. This study investigated if robotic metrics detect a difference in outcomes, not seen in clinical measures, in a study of transcranial direct current stimulation (tDCS) preceding robotic therapy. Impact of impairment severity on intervention response was also analyzed to explore optimization of outcomes by targeting patient sub-groups. Methods This 2020 study analyzed data from a double-blind, sham-controlled, randomized multi-center trial conducted from 2012 to 2016, including a six-month follow-up. 82 volunteers with single chronic ischemic stroke and right hemiparesis received anodal tDCS or sham stimulation, prior to robotic therapy. Robotic therapy involved 1024 repetitions, alternating shoulder-elbow and wrist robots, for a total of 36 sessions. Shoulder-elbow and wrist kinematic and kinetic metrics were collected at admission, discharge, and follow-up. Results No difference was detected between the tDCS or sham stimulation groups in the analysis of robotic shoulder-elbow or wrist metrics. Significant improvements in all metrics were found for the combined group analysis. Novel wrist data showed smoothness significantly improved (P < ·001) while submovement number trended down, overlap increased, and interpeak interval decreased. Post-hoc analysis showed only patients with severe impairment demonstrated a significant difference in kinematics, greater for patients receiving sham stimulation. Conclusions Robotic data confirmed results of clinical measures, showing intensive robotic therapy is beneficial, but no additional gain from tDCS. Patients with severe impairment did not benefit from the combined intervention. Wrist submovement characteristics showed a delayed pattern of motor recovery compared to the shoulder-elbow, relevant to intensive intervention-related recovery of upper extremity function in chronic stroke. Trial registration http://www.clinicaltrials.gov. Actual study start date September 2012. First registered on 15 November 2012. Retrospectively registered. Unique identifiers: NCT01726673 and NCT03562663.


2021 ◽  
Vol 75 (6) ◽  
Author(s):  
Yuki Mashizume ◽  
Yosuke Zenba ◽  
Kayoko Takahashi

Importance: The effectiveness of robotic therapy in stroke rehabilitation has been established by many studies, and occupational therapists should consider using robotics in their clinical practice. However, little is known about occupational therapy practitioners’ experience using robotics. Objective: To explore occupational therapists’ perceptions of the mechanisms and outcomes of occupational therapy using robotics with chronic stroke patients. Design: Qualitative study with semistructured focus group interviews. Data were analyzed using thematic analysis. Setting: Hospitals and institutions in Japan in which occupational therapists used robotics in their clinical practice. Participants: Twenty-seven occupational therapists with experience in using robotics with chronic stroke patients as a self-training method that involved repetitive movements of a paralyzed upper extremity. Participants were interviewed in nine focus groups. Results: Five themes—(1) body function, (2) values, (3) performance skills, (4) occupational performance, and (5) participation—and 12 subthemes were identified on the basis of the Occupational Therapy Practice Framework: Domain and Process (3rd ed.). Participants indicated that robotics improved patients’ body function and promoted a desire for independence, which resulted in improved occupational performance and participation in their desired occupations. Conclusions and Relevance: Occupational therapists regarded robotics as an adjunct to other therapy, which improved patients’ body function and promoted their desire for independence. What This Article Adds: Findings from this research provide insights into using robotics to enhance occupational therapy practice.


2021 ◽  
pp. 929-933
Author(s):  
V. Lozano-Berrio ◽  
A. de los Reyes-Guzmán ◽  
M. Alcobendas-Maestro ◽  
B. Polonio-López ◽  
A. Gil-Agudo

2021 ◽  
Vol 2071 (1) ◽  
pp. 012021
Author(s):  
C D S Ompico ◽  
N M Bugtai ◽  
F E T Munsayac

Abstract The development of social robots has been notably increasing and gaining popularity in recent times. These are also being integrated into healthcare systems, as a means to accompany patients, provide mental health therapy, and entertainment in place of direct human intervention. This paper discusses the recent developments on imitation learning for robot therapy in the field of social robotics to gain knowledge about the importance of this approach as an alternative solution to mental health therapy. The integration of robots to the mental healthcare system is known as robot therapy, which is used as a substitute for animal assisted therapy. Therapy that makes use of animals has been proven to be effective in dealing with mental disorders. However, there are risks such as allergic reactions, bites, and scratches that come with animal assisted therapy, but not robot therapy. The goal for developing robots for this is to make them seem almost life-like--has a way of thinking and emotions. For this to happen, humanoids are being programmed to appear human-like. A solution for this is imitation learning, which is a way for machines to learn, not only tasks, but responses in certain situations, only by observing and imitating humans in an environment.


2021 ◽  
Vol 2 ◽  
Author(s):  
Ji Chen ◽  
Iian Black ◽  
Diane Nichols ◽  
Tianyao Chen ◽  
Melissa Sandison ◽  
...  

Impaired use of the hand in functional tasks remains difficult to overcome in many individuals after a stroke. This often leads to compensation strategies using the less-affected limb, which allows for independence in some aspects of daily activities. However, recovery of hand function remains an important therapeutic goal of many individuals, and is often resistant to conventional therapies. In prior work, we developed HEXORR I, a robotic device that allows practice of finger and thumb movements with robotic assistance. In this study, we describe modifications to the device, now called HEXORR II, and a clinical trial in individuals with chronic stroke. Fifteen individuals with a diagnosis of chronic stroke were randomized to 12 or 24 sessions of robotic therapy. The sessions involved playing several video games using thumb and finger movement. The robot applied assistance to extension movement that was adapted based on task performance. Clinical and motion capture evaluations were performed before and after training and again at a 6-month followup. Fourteen individuals completed the protocol. Fugl-Meyer scores improved significantly at the 6 month time point compared to baseline, indicating reductions in upper extremity impairment. Flexor hypertonia (Modified Ashworth Scale) also decreased significantly due to the intervention. Motion capture found increased finger range of motion and extension ability after the intervention that continued to improve during the followup period. However, there was no change in a functional measure (Action Research Arm Test). At the followup, the high dose group had significant gains in hand displacement during a forward reach task. There were no other significant differences between groups. Future work with HEXORR II should focus on integrating it with functional task practice and incorporating grip and squeezing tasks.Trial Registration:ClinicalTrials.gov, NCT04536987. Registered 3 September 2020 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/record/NCT04536987.


Author(s):  
Natalia Comino-Suárez ◽  
Juan C. Moreno ◽  
Julio Gómez-Soriano ◽  
Álvaro Megía-García ◽  
Diego Serrano-Muñoz ◽  
...  

Abstract Background Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation method able to modulate neuronal activity after stroke. The aim of this systematic review was to determine if tDCS combined with robotic therapy (RT) improves limb function after stroke when compared to RT alone. Methods A search for randomized controlled trials (RCTs) published prior to July 15, 2021 was performed. The main outcome was function assessed with the Fugl-Meyer motor assessment for upper extremities (FM/ue) and 10-m walking test (10MWT) for the lower limbs. As secondary outcomes, strength was assessed with the Motricity Index (MI) or Medical Research Council scale (MRC), spasticity with the modified Ashworth scale (MAS), functional independence with the Barthel Index (BI), and kinematic parameters. Results Ten studies were included for analysis (n = 368 enrolled participants). The results showed a non-significant effect for tDCS combined with RT to improve upper limb function [standardized mean difference (SMD) = − 0.12; 95% confidence interval (CI): − 0.35–0.11)]. However, a positive effect of the combined therapy was observed in the lower limb function (SMD = 0.48; 95% CI: − 0.15–1.12). Significant results favouring tDCS combined with RT were not found in strength (SMD = − 0.15; 95% CI: − 0.4–0.1), spasticity [mean difference (MD) =  − 0.15; 95% CI: − 0.8–0.5)], functional independence (MD = 2.5; 95% CI: − 1.9–6.9) or velocity of movement (SMD = 0.06; 95% CI: − 0.3–0.5) with a “moderate” or “low” recommendation level according to the GRADE guidelines. Conclusions Current findings suggest that tDCS combined with RT does not improve upper limb function, strength, spasticity, functional independence or velocity of movement after stroke. However, tDCS may enhance the effects of RT alone for lower limb function. tDCS parameters and the stage or type of stroke injury could be crucial factors that determine the effectiveness of this therapy.


Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yi-chen Lee ◽  
Yi-chun Li ◽  
Keh-chung Lin ◽  
Chia-ling Chen ◽  
Yi-hsuan Wu ◽  
...  

Abstract Background The sequence of establishing a proximal stability or function before facilitation of the distal body part has long been recognized in stroke rehabilitation practice but lacks scientific evidence. This study plans to examine the effects of proximal priority robotic priming and impairment-oriented training (PRI) and distal priority robotic priming and impairment-oriented training (DRI). Methods This single-blind, randomized, comparative efficacy study will involve 40 participants with chronic stroke. Participants will be randomized into the PRI or DRI groups and receive 18 intervention sessions (90 min/day, 3 days/weeks for 6 weeks). The Fugl-Meyer Assessment Upper Extremity subscale, Medical Research Council Scale, Revised Nottingham Sensory Assessment, and Wolf Motor Function Test will be administered at baseline, after treatment, and at the 3-month follow-up. Two-way repeated-measures analysis of variance and the chi-square automatic interaction detector method will be used to examine the comparative efficacy and predictors of outcome, respectively, after PRI and DRI. Discussion Through manipulating the sequence of applying wrist and forearm robots in therapy, this study will attempt to examine empirically the priming effect of proximal or distal priority robotic therapy in upper extremity impairment-oriented training for people with stroke. The findings will provide directions for further studies and empirical implications for clinical practice in upper extremity rehabilitation after stroke. Trial Registration ClinicalTrials.gov NCT04446273. Registered on June 23, 2020.


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