Trial reportJournal of neuroengineering and rehabilitation2019
Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.
Trial report in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06531304 (Patient-therapist INTERaction During RObotic GAIT Rehabilitation After Spinal Cord Injury), which is not on this map. Cited by 28 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Patient-therapist INTERaction During RObotic GAIT Rehabilitation After Spinal Cord Injury: Clinical, Instrumental and Hyperscanning Study.
Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Post-stroke lower limb rehabilitation: a comparative study between exoskeleton robots and traditional gait training.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2020Pooled it
- Trial
- Effectiveness of the A3 robot on lower extremity motor function in stroke patients: A prospective, randomized controlled trial.World journal of clinical cases · 2024Trial
- Application of an EMG-Rehabilitation Robot in Patients with Post-Coronavirus Fatigue Syndrome (COVID-19)-A Feasibility Study.International journal of environmental research and public health · 2022Trial
- On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study.Journal of neuroengineering and rehabilitation · 2024Article
- Quantifying Treatments as Usual and with Technologies in Neurorehabilitation of Individuals with Spinal Cord Injury.Healthcare (Basel, Switzerland) · 2024Article
- A Comprehensive Review: Robot-Assisted Treatments for Gait Rehabilitation in Stroke Patients.Medicina (Kaunas, Lithuania) · 2024Review
- A usability study on mobile EMG-guided wrist extension training in subacute stroke patients-MyoGuide.Journal of neuroengineering and rehabilitation · 2024Article
- Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review.Biophysics reviews · 2024Review
- Therapeutic robots for post-stroke rehabilitation.Medical review (2021) · 2024Review
- Effects of ankle exoskeleton assistance and plantar pressure biofeedback on incline walking mechanics and muscle activity in cerebral palsy.Journal of biomechanics · 2024Article
- Effectiveness of the Combined Use of a Brain-Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- Could the Improvement of Supraspinatus Muscle Activity Speed up Shoulder Pain Rehabilitation Outcomes in Wheelchair Basketball Players?International journal of environmental research and public health · 2022Article
- Real-Time Muscle Activity and Joint Range of Motion Monitor to Improve Shoulder Pain Rehabilitation in Wheelchair Basketball Players: A Non-Randomized Clinical Study.Clinics and practice · 2022Article
- Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.Sensors (Basel, Switzerland) · 2022Article
- Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis.Brain sciences · 2022Review
- Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.Journal of neuroengineering and rehabilitation · 2022Article
- The Application of Biological Feedback in the Rehabilitation of Patients after Ischemic Stroke.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdd-on robot-mediated therapy has proven to be more effective than conventional therapy alone in post-stroke gait rehabilitation. Such robot-mediated interventions routinely use also visual biofeedback tools. A better understanding of biofeedback content effects when used for robotic locomotor training may improve the rehabilitation process and outcomes.
methodsThis randomized cross-over pilot trial aimed to address the possible impact of different biofeedback contents on patients' performance and experience during Lokomat training, by comparing a novel biofeedback based on online biological electromyographic information (EMGb) versus the commercial joint torque biofeedback (Rb) in sub-acute non ambulatory patients. 12 patients were randomized into two treatment groups, A and B, based on two different biofeedback training. For both groups, study protocol consisted of 12 Lokomat sessions, 6 for each biofeedback condition, 40 min each, 3 sessions per week of frequency. All patients performed Lokomat trainings as an add-on therapy to the conventional one that was the same for both groups and consisted of 40 min per day, 5 days per week. The primary outcome was the Modified Ashworth Spasticity Scale, and secondary outcomes included clinical, neurological, mechanical, and personal experience variables collected before and after each biofeedback training.
resultsLokomat training significantly improved gait/daily living activity independence and trunk control, nevertheless, different effects due to biofeedback content were remarked. EMGb was more effective to reduce spasticity and improve muscle force at the ankle, knee and hip joints. Robot data suggest that Rb induces more adaptation to robotic movements than EMGb. Furthermore, Rb was perceived less demanding than EMGb, even though patient motivation was higher for EMGb. Robot was perceived to be effective, easy to use, reliable and safe: acceptability was rated as very high by all patients.
conclusionsSpecific effects can be related to biofeedback content: when muscular-based information is used, a more direct effect on lower limb spasticity and muscle activity is evidenced. In a similar manner, when biofeedback treatment is based on joint torque data, a higher patient compliance effect in terms of force exerted is achieved. Subjects who underwent EMGb seemed to be more motivated than those treated with Rb.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.