Electrostimulation in medicine - history and contemporary usage

Krawczyk, Andrzej

doi:10.15199/48.2018.12.52

Cited by 5 publications

(2 citation statements)

References 10 publications

(10 reference statements)

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“…Ultrasound tomography is most commonly recognized under the name of "medical ultrasound" or "ultrasonography" (USG). This technique is very useful when no other type of measurement is possible such as in the case of electro-stimulation [12]. In this paper, a low-cost industrial transmission ultrasound tomography (t-UST) is described.…”

Section: Introductionmentioning

confidence: 99%

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

et al. 2023

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This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process control is identified as a key approach for achieving energy savings and improving product quality, process efficiency, and production flexibility. The goal of this research is to develop a cost-effective system with a minimal number of ultrasound sensors, thus reducing the energy consumption of the overall system. To accomplish this, a novel method for obtaining high-resolution reconstruction in transmission ultrasound tomography (t-UST) is proposed. The method involves utilizing a convolutional neural network to take low-resolution measurements as input and output high-resolution sinograms that are used for tomography image reconstruction. This approach allows for the construction of a super-resolution sinogram by utilizing information hidden in the low-resolution measurement. The model is trained on simulation data and validated on real measurement data. The results of this technique demonstrate significant improvement compared to state-of-the-art methods. The study also highlights that UST measurements contain more information than previously thought, and this hidden information can be extracted and utilized with the use of machine learning techniques to further improve image quality and object recognition.

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Section: Introductionmentioning

confidence: 99%

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

et al. 2023

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“…The applied treatment leads to its improvement in the ischemic area. Rehabilitation therapy that reduces the effects of stroke also has an impact on improving brain function [3,4]. Movement dysfunction is one of the key problems after stroke.…”

Section: Introductionmentioning

confidence: 99%

Applications of Smart Textiles in Post-Stroke Rehabilitation

Korzeniewska

Krawczyk

Mróz

et al. 2020

Sensors

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Stroke is a disease affecting a large part of our society. According to WHO data, it is the second world’s biggest killer, accounting for near six million deaths in 2016 and it is about 30% of the total number of strokes per year. Other patients affected by such a disease should be rehabilitated as soon as possible. As a result of this phenomenon, paresis may occur. Among the devices available on the market there are many rehabilitation robots, but the method of electrostimulation can be used. The authors focused their attention on electrostimulation and commercially available therapies. Using this method, application to people with large hand muscle contracture is difficult. The authors of the work present a solution dedicated to exactly such people. A solution of textronic sensors manufactured on a textile substrate using the technology of physical vapor deposition is presented in the article. As a result of the conducted research, an electroconductive structure was obtained with a low surface resistance value of 1 Ω/□ and high flexibility. It can alternatively be used in hand rehabilitation for electrostimulation of fingertips. The solution is dedicated to people with high hands spasticity for whom it is impossible to put on a rehabilitation glove.

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Applications of smart textiles in electromedicine

Korzeniewska

Krawczyk

2019

2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF)

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Electrostimulation in medicine - history and contemporary usage

Cited by 5 publications

References 10 publications

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Applications of Smart Textiles in Post-Stroke Rehabilitation

Applications of smart textiles in electromedicine

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