IEEE Organizations related to Cryotherapy

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Conferences related to Cryotherapy

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.



Periodicals related to Cryotherapy

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Xplore Articles related to Cryotherapy

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Use of Support Vector Machines to Predict the Success of Wart Treatment Methods

2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018

Warts are virus-based dermatosis that are common in the society. In this study, it was predicted if the method to be applied in the treatment of warts will success or not using a machine learning method. For this purpose, two online and freely available datasets of 180 patients with common warts and plantar warts, who are treated with cryotherapy and ...


CryoPen®, A gasless cryotherapy system adapted for low-resource settings

2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT), 2016

The development of human papillomavirus screening tests is outpacing the introduction of new treatment technologies. In low-resource settings, there is an urgent need for treatment methods that are accessible, affordable, and sustainable in areas with limited medical infrastructure. The gasless CryoPen® Cryosurgical System overcomes the limitations of traditional gas-based cryotherapy and is being adapted specifically for use in low-resource areas. ...


Numerical Analysis of Full Body Cryotherapy Efficiency with Cryochamber Design Modification

2018 International Russian Automation Conference (RusAutoCon), 2018

This article discusses the measurement of skin under the influence of low temperatures during the modernization of the cryochamber wall. In this paper, six different cryochamber models were analyzed. In each model, changes were made with respect to the curvature of the chamber wall construction. The effect of low temperatures on the skin layer, including on the muscle layer when ...


Investigation of the Effect of Low Temperatures on Each Layer of the Skin Using Computer Simulations

2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2018

In this paper, the question of measuring skin integument under the influence of low temperatures is considered. The effect of low temperatures on each layer of the skin was investigated. A model is simulated that allows one to determine the temperature dependence in each layer of the skin from the time of cryochamber and to monitor the temperature change after ...


Mathematical Modeling of Skin Temperature Changes with Whole-Body Cryotherapy

2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2018

The physical processes taking place in the cryochamber during the therapeutic treatment were investigated. The analysis of temperature fields during whole- body-cryotherapy (WBC) in skin integument and volume of cryochamber has been investigated. The analysis was implemented based on the modeling of non- stationary heat transfer through a multilayered object. The study was performed using the finite element method. The ...


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Educational Resources on Cryotherapy

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IEEE.tv Videos

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IEEE-USA E-Books

  • Use of Support Vector Machines to Predict the Success of Wart Treatment Methods

    Warts are virus-based dermatosis that are common in the society. In this study, it was predicted if the method to be applied in the treatment of warts will success or not using a machine learning method. For this purpose, two online and freely available datasets of 180 patients with common warts and plantar warts, who are treated with cryotherapy and immunotherapy methods, were used together. As a result, the algoerithm of support vector machines predicted whether the selected treatment success with an accuracy of 85.46%.

  • CryoPen®, A gasless cryotherapy system adapted for low-resource settings

    The development of human papillomavirus screening tests is outpacing the introduction of new treatment technologies. In low-resource settings, there is an urgent need for treatment methods that are accessible, affordable, and sustainable in areas with limited medical infrastructure. The gasless CryoPen® Cryosurgical System overcomes the limitations of traditional gas-based cryotherapy and is being adapted specifically for use in low-resource areas. The innovative device demonstrates exceptional portability, durability, and efficiency. The adapted CryoPen® is a simple, safe, and practical option for treatment of cervical precancer in settings that cannot support gas-based cryotherapy.

  • Numerical Analysis of Full Body Cryotherapy Efficiency with Cryochamber Design Modification

    This article discusses the measurement of skin under the influence of low temperatures during the modernization of the cryochamber wall. In this paper, six different cryochamber models were analyzed. In each model, changes were made with respect to the curvature of the chamber wall construction. The effect of low temperatures on the skin layer, including on the muscle layer when the cryochamber wall was changed, was investigated. A model is simulated that allows determining the temperature dependence in each skin layer from the moment of the cryochamber and monitor the temperature change after the session until the temperature field returns to its original state. The dependence of heat flux losses on the degree of cooling of human skin layers is given. The results were obtained using a mathematical model of heat exchange between the flow of a gaseous medium (a pair of liquid nitrogen) and a biological object in a two-dimensional nonstationary formulation. The study was carried out using the finite element method in the Comsol Multiphysics application package. The model includes layers of solid, biological tissue and cryogenic gas. Calculations of heat transfer processes in biological tissue were carried out using the Bioheat Transfer module. The preliminary results obtained show the comparison and effect of the duration effect and the degree of the cryotherapy effect in the modernization of the cryochamber walls.

  • Investigation of the Effect of Low Temperatures on Each Layer of the Skin Using Computer Simulations

    In this paper, the question of measuring skin integument under the influence of low temperatures is considered. The effect of low temperatures on each layer of the skin was investigated. A model is simulated that allows one to determine the temperature dependence in each layer of the skin from the time of cryochamber and to monitor the temperature change after seance until the temperature field returns to its original state. The dependence of heat flux loss on the degree of cooling of human skin layers is given. The results were obtained using a mathematical model of heat exchange between the flow of a gaseous medium (a pair of liquid nitrogen) and a biological object in a three- dimensional nonstationary formulation. The study was performed using the finite element method in the Comsol Multiphysics application package. The model includes layers of biological tissue and air. Calculations of heat transfer processes in biological tissue were performed using the Bioheat Transfer module. The dependence of heat flux loss on the degree of cooling of human skin layers is given. The results obtained show the effect of the effect of the duration and extent of the cryotherapy effect effect on its further improvement.

  • Mathematical Modeling of Skin Temperature Changes with Whole-Body Cryotherapy

    The physical processes taking place in the cryochamber during the therapeutic treatment were investigated. The analysis of temperature fields during whole- body-cryotherapy (WBC) in skin integument and volume of cryochamber has been investigated. The analysis was implemented based on the modeling of non- stationary heat transfer through a multilayered object. The study was performed using the finite element method. The calculations were based on the equations of heat transfer process in solids and biological tissue with internal heat source and laminar flow. The modules were combined using Multiphysics interface. Main results. The computer model created allows the calculation of thermal field dynamics in the skin of a patient body during and after WBC. Mathematical model of WBC allows the estimation of such parameters as coolant velocity and temperature, session exposure, cryochamber design and individual features of WBC object. The model performed allows the analysis of WBC parameters and their impact on skin integument temperature.

  • Impact of Various Kernels on Support Vector Machine Classification Performance for Treating Wart Disease

    This study displays the impacts of different types of Kernel functions for improving the learning capacity of Support Vector Machine (SVM) in treating two common types of warts (plantar and common warts). The impacts of four Kernel functions of (SVM): Normalized Polynomial Kernel (NP), Polynomial Kernel (PK), Radial Basis Function Kernel (RBF), and Pearson VII function based Universal Kernel (PUK) have been examined On two sets of data called “Cryotherapy” and “Immunotherapy”. Which are universally regarded as the best two methods to treat wart disease using Weka workbench. The first dataset called “Cryotherapy” consists of information about 90 patients and contains 7 features. The second dataset called “Immunotherapy” consists of information about 90 patients and contains 8 features. For presenting classification performance impacts each of Accuracy, precision, sensitivity, F-measure and confusion matrix for each kernel has been utilized. According to the results obtained, it was found that each of PUK and RBF performs best classification performance on “Cryotherapy” dataset with 97.77% accuracy whereas each of PK and PUK performs best classification performance on “Immunotherapy” dataset with 81.11% accuracy.

  • A Hybrid Classification Example in the Diagnosis of Skin Disease with Cryotherapy and Immunotherapy Treatment

    Uncontrolled tumors in the human body are called cancer. Unbalanced diet, alcohol and cigarette use, food additives and a variety of viruses can cause people have cancer. Cancer-causing tumors can be good or malignant. This study will measure the responses to treatments for skin disease caused by human papilloma virus (HPV), also called wart virus, which is directly related to cancer. This virus is an infectious virus that can infect another person by contact. There are multiple types of HPV virus and although it is usually benign, it can cause cancers such as cervical cancer, skin cancer. Apart from cancer, warts caused by HPV virus are generally seen on hands, feet, face and genital areas. As the skin grows and sagging progresses, it causes cancer at advanced levels. As a treatment method; drug use, surgical removal and HPV virus vaccination are used. These methods may require various surgical interventions. It can also cause a variety of reactions to allergic patients or it can cause a slight dependence on drug use. In addition to these methods, cryotherapy (ice treatment) and immunotherapy methods are used which are developed to obtain faster results and less costly than drugs and surgical interventions. In this study, it was estimated that 180 patients with warts on hands and feet who applied to the dermatology clinic of Ghaem Hospital in Iran were divided into two groups and responded to the treatment with two separate data sets obtained by applying cryotherapy in the other half and immunotherapy treatment in the other half. These data sets are located in the UCI data set. Navie Bayes, C4.5 decision tree, logistic regression, k- nearest neighbor classifier models have been developed for estimation work. In addition, the classification of the features included in the immunotherapy and cryotherapy data sets were tested by applying the feature selection process. The performance of the data sets after attribute selection and the performance of the raw data sets in the classification models are compared. 5 and 10 times cross validation is used to compare the performance of these models. The study also gave the best performance in all the performance criteria of the 4 different classifiers in the two datasets that are used as common models with the C4.5 Decision Tree. In addition, it is clearly seen that the attribute selection process has increased the performance criteria of all models.

  • Feature Selection for Cryotherapy and Immunotherapy Treatment Methods Based on Gravitational Search Algorithm

    Feature selection has been an active area of research which aims at identifying the most optimal subset of features that improves classification accuracy. Medical datasets contain numerous input features and require highly accurate predictions to facilitate better diagnosis. To address this problem of feature selection in medical data, an enhanced binary version of Gravitational Search Algorithm (GSA) is proposed which is based on law of gravity and attraction of masses. The proposed algorithm combines speed of Random Forest Classifier and optimization behavior of GSA. In this paper, a comprehensive review of our wrapper based proposed algorithm on Immunotherapy and Cryotherapy datasets for warts treatment using Random Forest Classifier to predict the response of the treatment is provided. The experimental results of the study show significant improvement in the accuracy of prediction.

  • On the Issue of Comparing Methods of Skin Repair with a Burn

    Over the years, many methods have been developed for various types of burns, but in most cases these designs are introduced as a protective agent to cover and protect burnt tissue from bacterial infection, and not as a treatment. In this article, 3 cryotherapy methods were introduced and compared, cryotherapy is introduced not only as a protective agent, but also as a method of treatment, helping the tissue recover as quickly as possible. The main goal of this study is to simulate and compare the 3 cryotherapy methods to reduce the temperature of the burnt tissues of the human body in order to facilitate the healing and regeneration of tissues. The simulation was carried out by the finite element method, using a biological module that reproduces tissue perfusion. A comparative analysis of the three cryotherapy methods was carried out.

  • Modified Binary Dragonfly Algorithm for Feature Selection in Human Papillomavirus-Mediated Disease Treatment

    Diseased caused through the rapid mediation of Human Papillomavirus (HPV) have surged in the recent decades. While there are a large amount of treatment methods, medical data is often voluminous, high dimensional and often has redundancy which make selection of a particular method difficult. Wrapper feature selection methods aim to extract a subset of features to improve computability as well as classification accuracy. To address this, we propose a modification to a relatively new evolutionary computation technique, the Binary Dragonfly algorithm (BDFA), by incorporating a penalty function for optimal feature selection. This wrapper based method using BDFA and Random forest classifier is employed on two treatment methods, Immunotherapy and Cryotherapy, showing an increase in both classification accuracy as well as feature reduction as compared to fuzzy rule based systems, genetic algorithms and random forest classifiers.



Standards related to Cryotherapy

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