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Worms, Georg

doi:10.5405/jmbe.666

J. Med. Biol. Eng.

2011

DOI: 10.5405/jmbe.666

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Georg Worms¹

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Cited by 3 publications

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The Effects of TENS Applied to Affected Lower Extremities on Balance in Stroke Patients

Lee¹,

Jang²

2014

Journal of the Korean Society of Physical Medicine

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| Abstract | PURPOSE:This study was to investigate the effectiveness of TENS on balance in stroke patients by analyzing some components such as foot pressure, limit of stability and velocity sway after providing somatosensroy input using TENS. METHODS:Twenty five subjects participated and were randomly divided into two groups, TENS group (n=13) and control group (n=12) by the computer program. Interventions were given to subjects 5 days a week for four weeks. TENS group were treated with TENS for 60 minutes in addition to the conventional therapy which included 30-minute exercise and rehabilitation ergometer training for 15 minutes. Control group performed only conventional therapy. TENS was applied on the skin of soleus, tibialis anterior, tensor fascia latae and vastus medialis in affected side. Foot pressure, limit of stability and velocity sway for balance test were measured using Biorescue.

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The Effects of TENS Applied to Affected Lower Extremities on Balance in Stroke Patients

Lee¹,

Jang²

2014

Journal of the Korean Society of Physical Medicine

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Efficacy of Electrical Stimulation-Augmented Virtual Reality Training in Improving Balance in Individuals with Incomplete Spinal Cord Injury: Study Protocol of a Randomized Controlled Trial

2021

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Study Design: This study is a single-blind, parallel, three-group, and randomized controlled trial.Purpose: This study aimed to investigate the effectiveness of electrical stimulation-augmented virtual reality training in improving balance in individuals with incomplete spinal cord injury (iSCI).Overview of Literature: Individuals with iSCI often face significant balance and mobility impairments affecting their quality of life. Scientific studies focusing on standing balance training in the iSCI population are limited. Virtual reality-based balance training has shown positive results in several neurological populations. Electrical stimulation has also proved to be effective in improving voluntary muscle strength in partially paralyzed muscles after iSCI as well as promoting neuroplasticity.Methods: Forty-eight iSCI participants will be recruited based on the inclusion criteria. The participants will be randomly assigned to any of the three groups: virtual reality-based balance training along with the electrical stimulation group, virtual reality-based balance training along with sham stimulation group, or virtual reality-based balance training group. The intervention will be delivered as 60-minute sessions, thrice a week for 4 weeks.Results: The performance of the participants will be assessed using the lower extremity motor score, static and dynamic balance assessment using TechnoBody ProKin tilting platform and Berg Balance Scale, Walking Index for Spinal Cord Injury, and World Health Organization Quality of Life-BREF at pre-intervention, after 4 weeks post-intervention, and at 1-month follow-up.Conclusions: The trial will provide new knowledge about the effectiveness of electrical stimulation-augmented virtual reality training in improving balance in individuals with iSCI. The study results will contribute to the design of better rehabilitation programs for individuals with iSCI.

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Measurement and Estimation of Muscle Contraction Strength Using Mechanomyography Based on Artificial Neural Network Algorithm

Lei

Cheng

Lee

et al. 2013

Biomed. Eng. Appl. Basis Commun.

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Muscle contraction strength estimation using mechanomyographic (MMG) signal is typically calculated by the root mean square (RMS) amplitude. Raw MMG signal is processed by rectification, low-pass filtering, and mapping. In this work, beside RMS amplitude, another significant parameter of MMG signal, i.e. frequency variance (VAR), is introduced and used for constructing an algorithm for estimating the muscle contraction strength. Seven participants produced isometric contractions about the elbow while MMG signal and generated torque (resultant of muscle contraction strength) of biceps brachii were recorded. We found that MMG RMS increased monotonously and VAR decreased under incremental voluntary contractions. Based on these results, a two-layer neural network was utilized for the model of estimating the muscle contraction strength from MMG RMS and VAR. Experimental evaluation was performed under constant posture and sinusoidal contractions at 0.5 Hz, 0.25 Hz, 0.125 Hz, and random frequency. The results of the proposed algorithm and MMG RMS linear mapping were also compared. The proposed algorithm has better accuracy than linear mapping for all contraction frequencies. The mean absolute error decreased 6% for the 0.5Hz contraction, 43% for 0.25 Hz contraction, 52% for 0.125 Hz contraction, and 30% for random frequency contraction.

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Untitled

Cited by 3 publications

References 25 publications

The Effects of TENS Applied to Affected Lower Extremities on Balance in Stroke Patients

The Effects of TENS Applied to Affected Lower Extremities on Balance in Stroke Patients

Efficacy of Electrical Stimulation-Augmented Virtual Reality Training in Improving Balance in Individuals with Incomplete Spinal Cord Injury: Study Protocol of a Randomized Controlled Trial

Measurement and Estimation of Muscle Contraction Strength Using Mechanomyography Based on Artificial Neural Network Algorithm

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