In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available information sources. It is renowned for i...
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In order to analyze and improve in physical therapy, professional sports, and the performing arts, it is crucial to monitor human joint angle movement. For both acute and chronic injuries, as well as to assess how wel...
In order to analyze and improve in physical therapy, professional sports, and the performing arts, it is crucial to monitor human joint angle movement. For both acute and chronic injuries, as well as to assess how well a treatment is functioning, range of motion assessment is essential. Athletes are more susceptible to fractures from acute elbow injuries (e.g. in gymnasts falling on an extended elbow). The industry standard for assessing joint ROM is now manual ROM measurements using a hand-held goniometer because of their accessibility and ease of use. We now present the fibre optic approach to assess elbow range of motion because the precision and repeatability of manual goniometer measurement have been questioned. In terms of size and robustness, optical fibre technology provides an exceptional solution for motion capture sensing. The method under study is based on an approach that has been used in the past to quantify spine movement and respiration rate: angular displacement between two separated fibres using intensity modulated optical fibre. By adding IoT, all data are uploaded to the cloud, where they are processed and conclusions are drawn for use in Rehabilation therapy using Functional Electrical Stimulation Therapy.
In the Department of Knee Surgery, measuring the range of motion (ROM) of the knee is a crucial physical examination done for patient evaluation, diagnosis, prognosis, and treatment. The most typical approach is to us...
In the Department of Knee Surgery, measuring the range of motion (ROM) of the knee is a crucial physical examination done for patient evaluation, diagnosis, prognosis, and treatment. The most typical approach is to use a universal goniometer to complete this operation. The range of motion (ROM) can be measured using a variety of instruments, including goniometers, inclinometers, electrogoniometers, and triaxial electrogoniometers. Our proposed solution is to create a digital knee IoT-integrated range of motion measurement device that can measure ROM and all other related data, send the collected information to the cloud for further processing, and make inferences about the patient’s progress, the disease type, the intensity of Stimulation Intensity, and many other things. The device has sensors that assess the knee’s range of motion and should be accurate when compared to the gold standard. Without the help of a therapist, the system’s advantages include the ability to determine knee range of motion (ROM). This work is particularly helpful in the treatment of knee injuries Functional Electrical Stimulation Therapy (FEST).
The goal of the SMART4ALL EU funded project is to build capacity amongst European stakeholders via the development of self-sustained, cross-border experiments that transfer knowledge and technology between academia an...
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ISBN:
(数字)9781728157757
ISBN:
(纸本)9781728157764
The goal of the SMART4ALL EU funded project is to build capacity amongst European stakeholders via the development of self-sustained, cross-border experiments that transfer knowledge and technology between academia and industry. It targets Customized Low Energy Computing (CLEC) in the Cyber-Physical (CPS) and the Internet of Things (IoT) domains by combining a set of unique characteristics that join together different cultures, different policies, different geographical areas, and different application domains. The SMART4ALL vision will be realized mainly through funded (via open calls) Pathfinder Application Experiments (PAEs) that will enable the transformation of academic knowledge into industry especially targeting South and Eastern European countries that are currently underrepresented in European funding opportunities. In this way community building, strategy development, and ecosystem learning are envisioned for boosting high-quality research and development in South Eastern Europe (SEE), through an efficient combination of regional, national and European policies. Furthermore SMART4ALL sets forward the concept of marketplace which is offered as a service (Marketplace-as-a-Service or MaaS) that acts as one-stop-smart-stop by offering tools, services, platforms based mainly on open sources technologies as well as technology suppliers - adopter matchmaking capabilities customized to the targeted thematic pillars of the project.
In this paper, we propose a transfer learning (TL)-enabled edge-CNN framework for 5G industrial edge networks with privacy-preserving characteristic. In particular, the edge server can use the existing image dataset t...
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Ultrathin flat metalenses have emerged as promising alternatives to conventional diffractive lenses,offering new possibilities for myriads of miniaturization and interfacial ***-based materials can achieve both phase ...
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Ultrathin flat metalenses have emerged as promising alternatives to conventional diffractive lenses,offering new possibilities for myriads of miniaturization and interfacial ***-based materials can achieve both phase and amplitude modulations simultaneously at a single position due to the modification of the complex refractive index and thickness by laser conversion from graphene oxide into graphene like *** this work,we develop graphene oxide metalenses to precisely control phase and amplitude modulations and to achieve a holistic and systematic lens design based on a graphene-based material *** experimentally validate our strategies via demonstrations of two graphene oxide metalenses:one with an ultra-long(~16λ)optical needle,and the other with axial multifocal spots,at the wavelength of 632.8 nm with a 200 nm thin *** proposed graphene oxide metalenses unfold unprecedented opportunities for accurately designing graphene-based ultrathin integratable devices for broad applications.
Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised inf...
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Understanding the reasons for customer churn provides added value in terms of retaining existing customers, as customer attrition leads to revenue loss for companies and incurs marketing costs for acquiring new custom...
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The formation model of digital competence of future specialists in electrical engineering during distance learning of the computer technologies in the design of electromechanical systems, which is based on narrative-d...
The formation model of digital competence of future specialists in electrical engineering during distance learning of the computer technologies in the design of electromechanical systems, which is based on narrative-digital and resource-oriented approaches, was developed and experimentally tested. The concept of "digital competence of future specialists", the components of the professional training of future specialists in electrical engineering, has been specified. The didactic support of the educational discipline "computer technologies in design" has been improved. The main areas of formation of structural components of digital competence were further developed and specified during distance learning. The developed digital narratives can be applied to improve the quality of digital educational and methodological content of distance courses on any platform for distance learning.
In this article, we propose a computer research approach that uses only a few tomographic optoacoustic projections to analyze main components for high-frame volumetric heart imagery is seen herein in the non-invasive ...
In this article, we propose a computer research approach that uses only a few tomographic optoacoustic projections to analyze main components for high-frame volumetric heart imagery is seen herein in the non-invasive imaging of a smoking rodent. This approach is beneficial for discerning periodic movements. The training process allows the heart motion information to be effectively compressed and used in a higher frame rate as prior information for image restoration. Image consistency with report book decrease in the data flow is seen to be safeguarded. We prove that the parametric motion can be effectively obtained under such conditions by focusing on moment data from a single tomographic detector. A visualization of perfusing a contrast agent in vivo indicates the possibility of recording intermittent (quasi) events not recorded in the training process. The proposed method can be used to dramatically improve optoacoustic imaging time resolution and help create more accessible and data efficiency systems.
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