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Elektroceutyczne metody w leczeniu cukrzycy typu 2

Krawczyk Andrzej, Korzeniewska Ewa, Mróz Józef

Przegląd Elektrotechniczny

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2022

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R. 98, nr 2

160--163

PL

W artykule przedstawiono problemy związane z leczeniem cukrzycy 2 typu za pomocą elektryczności i magnetyzmu. Cukrzyca 2 typu jest chorobą o charakterze powszechnym, prowadzącą do istotnych dysfunkcji organizmu. Najnowsze badania, przedstawione w artykule, wskazują na możliwość leczenia tej choroby środkami medycyny fizykalnej, w tym przypadku środkami elektroceutycznymi. W pracy zaprezentowano przegląd literatury pod kątem wykorzystania takich metod w leczeniu cukrzycy typu 2. Opisano wyniki badań uzyskane po zastosowaniu stymulacji polem elektromagnetycznym, elektrostatycznym i magnetostatycznym obiektów badawczych; wyniki wskazują na możliwości zmniejszenia lub/i stabilizacji poziomu glukozy w organizmach gryzoni oraz do zmniejszenia objawów neuropatii cukrzycowej u ludzi. Przełożenie tych wyników do zastosowań klinicznych wymaga jeszcze wielu badań na większych organizmach żywych i w końcu na ludziach. Korzyści związane z terapią elektroceutyczną mogą być nie do przecenienia, przede wszystkim z powodu wielkiej prostoty układu terapeutycznego.

EN

The article presents the problems associated with treating type 2 diabetes with electricity and magnetism. Type 2 diabetes mellitus is a common disease that leads to significant body dysfunctions. The latest research presented in the article indicates the possibility of treating this disease with physical medicine, in this case, with electroceutical agents. The paper presents a review of the literature regarding the use of such methods in the treatment of type 2 diabetes. The results of the research obtained after placing examined objects in electromagnetic, electrostatic and magnetostatic field show that the glucose level and diabetic neuropathy in rodents and humans were reduced and/or stabilized. Translating these results into clinical applications still requires a lot of research on larger living organisms and eventually in humans. The benefits of electroceutical therapy may not be overestimated, mainly due to the great simplicity of the therapeutic system.

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Machine learning prediction of future peripheral neuropathy in type 2 diabetics with percussion entropy and body mass indices

Xiao Ming-Xia, Lu Chang-Hua, Ta Na, Wei Hai-Cheng, Haryadi Bagus, Wu Hsien-Tsai

Biocybernetics and Biomedical Engineering

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2021

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Vol. 41, no. 3

1140--1149

EN

This study was designed to evaluate the clinical applications of body mass index (BMI) and a percussion-entropy-based index (PEINEW) for predicting the development of diabetic peripheral neuropathy (DPN) in a group of type 2 diabetes mellitus (DM) patients. The study population comprised a sample of 90 subjects with diabetics (aged 37–86 years), who went through a blood test and photoplethysmography (PPG) measurement and were then followed for 5.5 years. Conventional parameters, including the small-scale multiscale entropy index (MEISS), pulse wave velocity with electrocardiogram located (PWVmean), and PEIoriginal, were computed and compared. A logistic regression model with PEINEW and a single categorical variable (BMI) showed a graded association between the diabetics, with a high BMI (i.e., ‘‘high” category) associated with a 12.53-fold greater risk of developing DPN relative to the diabetics with a low BMI (i.e., ‘‘low” category) (p = 0.001). The odds ratio for PEINEW was 0.893. The Kaplan-Meier survival analysis showed that the diabetic patients with BMI ＞ 30 had a significantly higher cumulative incidence of PN on follow-up than those with BMI [...] 30 (log-rank test, p < 0.001). These findings suggest that BMI and PEINEW are both important risk and protective factors for new-onset DPN from diabetes mellitus and, thus, BMI and percussion entropy calculation can provide valid information that may help to identify diabetics with a high BMI and a low PEINEW as being at increased risk of future DPN.

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Detection of type-2 diabetes using characteristics of toe photoplethysmogram by applying support vector machine

Nirala Neelamshobha, Periyasamy R., Singh Bikesh Kumar, Kumar Awanish

Biocybernetics and Biomedical Engineering

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2019

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Vol. 39, no. 1

38--51

EN

Diabetes mellitus (DM) is one of the most widespread and rapidly growing diseases. With its advancement, DM-related complications are also increasing. We used characteristic features of toe photoplethysmogram for the detection of type-2 DM using support vector machine (SVM). We collected toe PPG signal, from 58 healthy and 83 type-2 DM subjects. From each PPG signal 37 different features were extracted for further classification. To improve the performance of SVM and reduce the noisy data we employed hybrid feature selection technique that reduces the feature set of 37 to 10 on the basis of majority voting. Using 10 selected features set, we gained an accuracy of 97.87%, sensitivity of 98.78% and specificity of 96.61%. Further for the validation of our method we need to do random population test, so that it can be used as a non-invasive screening tool. Photoplethysmogram is an economic, technically easy and completely non-invasive method for both physician and subject. With the high accuracy that we obtained, we hope that our work will help the clinician in screening of diabetes and adopting suitable treatment plan for preventing end organ damage.

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Cukrzyca typu 2. Cz. I. Epidemia naszych czasów

Cichocka A

Przemysł Spożywczy

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2013

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T. 67, nr 6

38--40

PL

W Polsce, podobnie jak w innych krajach, obserwuje się epidemię cukrzycy typu 2, której przyczyną są głównie: otyłość, niewłaściwy sposób odżywiania i mała aktywność fizyczna. W artykule przedstawiono epidemiologię cukrzycy, czynniki jej rozwoju i powikłania tej choroby. W Polsce na cukrzycę, wg szacunków epidemiologów, choruje 3,1 mln osób, z czego u 30% choroba ta jest nierozpoznana. 5,2 mln dorosłych Polaków ma stan przedcukrzycowy. W artykule podkreślono duże znaczenie wyboru zdrowych produktów spożywczych i wskazano na istotną rolę przemysłu spożywczego w promowaniu zdrowej diety w celu profilaktyki cukrzycy typu 2.

EN

In Poland, similarly as in other countries, there is an epidemic of type 2 diabetes. The causes of this epidemic include mainly obesity, an unhealthy diet and little physical activity. This article presents the epidemiology of diabetes, the risk factors for its developing, and its complications. There are 3.1 million diabetics in Poland, of which 30% have not been diagnosed. 5.2 million of the Polish population have the pre-diabetes status. In the article, the author stresses the importance of healthy food product choice, and indicates the highly significant role of the food industry in promoting a healthy diet for preventing type 2 diabetes.