The development of compact portable ECG monitoring devices often entails the pursuit of downsizing measurement systems. This objective frequently involves additional efforts, such as custom PCB fabrication for analog ...
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作者:
Uthayaphamornwat, VilasineeKhantachawana, AnakKitiwan, MettayaSrirussamee, KasamaTunthawiroon, Phacharaphon
School of Engineering Department of Biomedical Engineering Bangkok10520 Thailand
Faculty of Engineering Department of Mechanical Engineering Bangkok10140 Thailand
Biological Engineering Program Faculty of Engineering Bangkok10140 Thailand
School of Science Department of Physics Bangkok10520 Thailand
Devices and Systems for Energy and Environment Research Unit School of Science Bangkok10520 Thailand
School of Engineering Department of Industrial Engineering Bangkok10520 Thailand
Hydroxyapatite (HA) is one of the potential biomaterials used for treating dental defects. It can be incorporated with fluoride to enhance its anti-caries properties, though other properties could be dependent on proc...
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Latex is a high cost component • Need to use it effectively Prevent or reduce binder migration by attaching latex to the pigment Novel coating structures may be possible that "retain" binder with coating pig...
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Morphological analyses are key outcome assessments for nerve regeneration studies but are historically limited to tissue *** optical tissue clearing techniques enabling three-dimensional imaging of entire organs at a ...
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Morphological analyses are key outcome assessments for nerve regeneration studies but are historically limited to tissue *** optical tissue clearing techniques enabling three-dimensional imaging of entire organs at a subcellular resolution have revolutionized morphological studies of the *** extend their applicability to experimental nerve repair studies we adapted these techniques to nerves and their motor and sensory targets in *** solvent-based protocols rendered harvested peripheral nerves and their target organs transparent within 24 hours while preserving tissue architecture and *** optical clearing was compatible with conventional laboratory techniques,including retrograde labeling studies,and computational image segmentation,providing fast and precise cell ***,optically cleared organs enabled three-dimensional morphometry at an unprecedented scale including dermatome-wide innervation studies,tracing of intramuscular nerve branches or mapping of neurovascular *** their wide-ranging applicability,rapid processing times,and low costs,tissue clearing techniques are likely to be a key technology for next-generation nerve repair *** procedures were approved by the Hospital for Sick Children’s Laboratory Animal Services Committee(49871/9)on November 9,2019.
This article proposes the creation, implementation and development of an integration plugin for ImageJ that makes calls in MATLAB functions for the segmentation UBM imagens, more specific endoluminal (eUBM) e transabd...
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ISBN:
(数字)9798350349085
ISBN:
(纸本)9798350349092
This article proposes the creation, implementation and development of an integration plugin for ImageJ that makes calls in MATLAB functions for the segmentation UBM imagens, more specific endoluminal (eUBM) e transabdominal (tUBM), in the laboratory the images are generating with frequencies between 30-40 MHZ. These images allow view colon layer, identify tumors in colons, to calculate tumor volume and 3D visualization. This integration may to improve the time taken to perform the procedure and the user experience to reduce the number of tasks and change windows, making the experience more fluid and with less risk of errors.
Introduction: gait analysis of a subject with total hip replacement is described. Objective: instrumental gait analysis of a subject 12 years after the total hip arthroplasty. Materials and Methods: in a movement anal...
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Introduction: gait analysis of a subject with total hip replacement is described. Objective: instrumental gait analysis of a subject 12 years after the total hip arthroplasty. Materials and Methods: in a movement analysis laboratory, locomotion studies were carried out at freely chosen walking speed by a 64-year-old subject, obtaining kinematic, kinetic and surface electromyographic data in time and space. All measurements were assessments by applying walking protocols on a straight surface of 8 m long. Results: abnormal slight activations of semitendinosus and tibialis anterior muscles, of the left limb, were observed throughout the gait cycle, no spatiotemporal parameters far from normal values were detected. Conclusions: it was possible to obtain an exhaustive analysis of the parameters associated with the gait of a subject after 12 years of total hip arthroplasty.
This study outlines the conceptual and design framework for a modular bioreactor intended to advance accessibility in tissue engineering by providing an optimal environment for three-dimensional cell growth and differ...
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Neural Radiance Field (NeRF), capable of synthesizing high-quality novel viewpoint images, suffers from issues like artifact occurrence due to its fixed sampling points during rendering. This study proposes a method t...
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With the ever-increasing need for miniaturized and biocompatible devices for physiological recordings, high signal fidelity and ease of fabrication are key to achieve reliable data collection. This calls for the devel...
With the ever-increasing need for miniaturized and biocompatible devices for physiological recordings, high signal fidelity and ease of fabrication are key to achieve reliable data collection. This calls for the development of active recording devices such as Organic Electrochemical Transistors (OECTs) which, compared to passive electrodes, offer local amplification. In this work, we built PEDOT:PSS based OECTs using novel inkjet printing technology, achieving a transconductance of 75 mS. The device was later used to amplify arbitrary signals simulating in vivo recordings. Gate voltage offset manipulation offered a range of current peak-to-peak amplitudes. Additionally, we demonstrate a simple circuit for voltage readings, where another resistor-dependent characterization involving voltage source and drain voltage is performed. At ideal operating point and when using a 220 Ω resistor, a gain of 14.5 is *** Relevance— 1 This work demonstrates the ability to rapidly and easily develop OECT-based technology for potential signal sensing for more accurate diagnosis of pathologies and diseases.
Solutions based on Artificial Intelligence techniques have been proposed in the healthcare sector, however the lack of understanding of the results has been a cause for concern and one of the main barriers to their ef...
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Solutions based on Artificial Intelligence techniques have been proposed in the healthcare sector, however the lack of understanding of the results has been a cause for concern and one of the main barriers to their effective use. To fill the gap in understanding these models considered black boxes, the Explainable Artificial Intelligence was proposed to explain the relationship between input data and the prediction results made by the Artificial Intelligence models. In this study, we present the use of explainability techniques for a black box machine learning model in breast cancer classification. Breast cancer is the type of cancer that causes the most deaths among women in the world and early diagnosis is essential to increase the chances of survival. The study evaluated the explainability of breast tumor predictions based on the Multilayer Perceptron artificial neural networks algorithm, considering a sample that contained data from 164 female patients undergoing Core Biopsy in the southern region of Brazil. The SHAP, LIME, PDP and ICE methods were used for the global and local explainability of the predictions. The results showed that in the global assessment, the BI-RADS® 5 ultrasound and mammography attributes were considered the most important for predicting the malignant tumor. Nodule size greater than 2 cm, presence of a family history and palpable nodule were also considered important for the prediction. In the local evaluation, it was found that the model correctly classified the tumors considering different characteristics of the patients. Through the results presented, the methods of explicability show evidence that the predictive model for breast cancer can be interpreted and understood, overcoming the barrier of lack understanding of the results of a black box model.
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