EMG feedback improves force control of a myoelectric hand prosthesis by conveying the magnitude of the myoelectric signal back to the users via tactile stimulation. The present study aimed to test if this method can be used by a participant with a high-level amputation, and whose muscle used for prosthesis control (pectoralis major) was not intuitively related to hand function. Vibrotactile feedback was delivered to the participant's torso, while the control was tested using EMG from three different muscles. The participant completed four experimental sessions of a force-matching task with a prosthesis. The performance was evaluated by computing the target force success rate. The results of session 1 showed that the participant could effectively employ EMG feedback after only brief training. Session 2 demonstrated that EMG feedback benefited force control, increasing the success rate by approx. 30%. Finally, after proper training (sessions 3 and 4), the participant's performance when using the muscle on the amputated side was similar to that achieved with the muscles on the contralateral side. Overall, the study results indicate that EMG feedback can be used in high-level amputations, despite the extent of the injury and non-intuitive control.
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http://dx.doi.org/10.1038/s41598-024-80828-x | DOI Listing |
J Neurophysiol
January 2025
School of Kinesiology, Faculty of Health Sciences, The University of Western Ontario, London, ON, Canada.
The purpose was to assess whether visual feedback of torque contributes to motor unit (MU) firing rate reduction observed during post-activation potentiation (PAP) of skeletal muscle. From 15 participants 23 MUs were recorded with intramuscular fine-wire electrodes from the tibialis anterior during isometric dorsiflexion contractions at 20% of maximum, with and without both PAP and visual feedback of torque. A 5s maximal voluntary contraction (MVC) was used to induce PAP, and evoked twitch responses were assessed before and after.
View Article and Find Full Text PDFAm J Transl Res
December 2024
Department of Neurology, Zhejiang Sian International Hospital Jiaxing 314031, Zhejiang, China.
Objective: To evaluate the effectiveness of combination therapy based on motion feedback training in patients recovering from ischemic stroke.
Methods: A retrospective analysis was conducted on 205 patients in the recovery phase of ischemic stroke admitted between June 2022 and June 2023. Patients were divided into two groups: the conventional treatment group (n=101), receiving standard care, and the combination therapy group (n=104), receiving additional motion feedback training for 30 days.
Biomater Sci
January 2025
Department of Human Anatomy, School of Basic Medical Sciences Guangdong Medical University, 524000, Zhanjiang, China.
Myoelectric biofeedback (EMG-BF) is a widely recognized and effective method for treating movement disorders caused by impaired nerve function. However, existing EMG-feedback devices are almost entirely located in large medical centers, which greatly limits patient accessibility. To address this critical limitation, there is an urgent need to develop a portable, cost-effective, and real-time monitoring device that can transcend the existing barriers to the treatment of EMG-BF.
View Article and Find Full Text PDFBackground: The goal of this study was to examine the effects of spinal cord stimulation (SCS) on muscle activity during walking after lower-limb amputation. Amputation results in a loss of sensory feedback and alterations in gait biomechanics, including co-contractions of antagonist muscles about the knee and ankle, and reduced pelvic obliquity range-of-motion and pelvic drop. SCS can restore sensation in the missing limb, but its effects on muscle activation and gait biomechanics have not been studied in people with lower-limb amputation.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Background: The dosage and intensity of physical therapy are crucial factors influencing the motor recovery of the hemiplegic lower limb in patients with subacute stroke. Biofeedback using wearable sensors may provide opportunities for patients with stroke to effectively guide self-exercises with monitoring of muscular activities in hemiplegic lower limbs. This study aims to explore the feasibility and safety of in-bed self-exercises based on electromyography sensor feedback in patients with subacute stroke.
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