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1

A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model

Krishna Munagala N.V.L.M., Langoju Lakshmi Rajeswara Rao, Rani A. Daisy, Reddy D.V. Rama Koti

Biocybernetics and Biomedical Engineering

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2022

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Vol. 42, no. 4

1183--1204

EN

A continuous heart disease monitoring system is one of the significant applications specified by the Internet of Things (IoT). This goal might be achieved by combining sophisticated expert systems with extensive healthcare data on heart diseases. Several machine learning-based methods have recently been proven for predicting and diagnosing cardiac illness. However, these algorithms are unable to manage high-dimensional information due to the lack of a smart framework that can combine several sources to anticipate cardiac illness. The Fuzzy-Long Short Term Memory (LSTM) model is used in this work to present a unique IoT-enabled heart disease prediction method. The benchmark data for the experiment came from public sources and collected via wearable IoT devices. An improved Harris Hawks Optimization (HHO) called Population and Fitness-based HHO (PF-HHO) is utilized to select the best features, with the objective function of correlation maximization within the same class and correlation minimization among different classes. The scientific contributions of the health care monitoring system are depicted here that help to improve heart disease healthcare efficiency and also it can be reducing the death rate in the current world. The important section of this persistent healthcare mode is the real-world monitoring system. The simulation outcomes proved that the recommended approach is more successful at predicting heart illness than existing technologies.

2

Efficient heart disease diagnosis based on twin support vector machine

Brik Youcef, Djerioui Mohamed, Attallah Bilal

Diagnostyka

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2021

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Vol. 22, No. 3

3--11

EN

Heart disease is the leading cause of death in the world according to the World Health Organization (WHO). Researchers are more interested in using machine learning techniques to help medical staff diagnose or detect heart disease early. In this paper, we propose an efficient medical decision support system based on twin support vector machines (Twin-SVM) for heart disease diagnosing with binary target (i.e. presence or absence of disease). Unlike conventional support vector machines (SVM) that finds only one optimal hyperplane for separating the data points of first class from those of second class, which causes inaccurate decision, Twin-SVM finds two non-parallel hyper-planes so that each one is closer to the first class and is as far from the second class as possible. Our experiments are conducted on real heart disease dataset and many evaluation metrics have been considered to evaluate the performance of the proposed method. Furthermore, a comparison between the proposed method and several well-known classifiers as well as the state-of-the-art methods has been performed. The obtained results proved that our proposed method based on Twin-SVM technique gives promising performances better than the state-of-the-art. This improvement can seriously reduce time, materials, and labor in healthcare services while increasing the final decision accuracy.

3

Rola i znaczenie telemedycyny w leczeniu chorób serca

Król R., Brodny J.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2018

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z. 117

287--303

PL

Rozwój nowoczesnych technologii coraz szybciej przenoszony jest w obszary życia codziennego. Jego skutkiem jest wprowadzanie nowoczesnych systemów komunikacji, transmisji danych oraz coraz bardziej inteligentnych produktów. Zmiany te widoczne są praktycznie we wszystkich sferach naszego życia. Coraz mocniej wprowadza się je także w medycynie. Kierunek ten wydaje się oczywisty ze względu na znaczenie i rolę medycyny w życiu społeczeństw XXI wieku. Problematyka ujęta w artykule wpisuje się w światowy trend coraz szerszego i praktycznego wykorzystania osiągnieć techniki, a w szczególności informatyki do poprawy efektywności procesu leczenia. W artykule skoncentrowano się na zagadnieniach związanych z zastosowaniem telemedycyny w leczeniu chorób serca. Przedstawiono wyniki rozeznania rynku światowego i krajowego pod kątem dostępnych rozwiązań z zakresu telemedycyny. Dokonano także oceny chorób, w leczeniu których telemedycyna może być stosowana. Założono, że zastosowanie nowoczesnej technologii w diagnostyce i badaniach medycznych w sposób oczywisty powinno przyczynić się do obniżenia kosztów, przy jednoczesnej poprawie skuteczności procesu leczenia. Ma to szczególnie istotne znaczenie w sytuacji permanentnego braku środków w służbie zdrowia. Niepodważalną zaletą telemedycyny jest także efektywniejsze wykorzystanie zasobów personelu medycznego, którego braki coraz bardziej są odczuwalne w tej branży. W artykule scharakteryzowano podstawowe problemy zdrowotne społeczeństwa, omówiono pojęcie telemedycyny oraz dokonano analizy SWOT tego rozwiązania wraz z oceną zapotrzebowania rynku na tę formę usług medycznych. Autorzy mają nadzieję, że w najbliższych latach telemedycyna stanie się bardzo popularną i szeroko stosowaną formą świadczenia usług medycznych w Polsce.

EN

The development of modern technologies is more and more quickly transferred to the areas of everyday life. The result is the introduction of modern communication systems, data transmission and the implementation of more intelligent products. Nowadays these changes appears in all spheres of our life. Increasingly they are also introduced in medicine. The direction seems obvious due to the importance and the role of medicine in the life of 21st century societies. The issues included in the article are in line with the global trend of a wider and more practical use of the technical achievements. In particular computer science improves the effectiveness and efficiency of the treatment process. This article concentrates on issues associated with applying the telemedicine in to process of curing heart diseases. The results of the world and domestic market are presented from the point of view of available solutions in the field of telemedicine. The assessment of diseases in which telemedicine can be used has also been assessed. It was assumed that the use of modern technology in diagnostics and medical research should obviously contribute to lowering costs while at the same time improves the effectiveness of the treatment process. This is particularly important in the situation of a permanent lack of funds in the health service. The undoubted advantage of telemedicine is also the more effective use of the resources of medical personnel, whose deficiencies are more and more noticeable in the medical industry. The article describes the basic health problems of the society, discusses the concept of telemedicine and a SWOT analysis of this solution was made together with an assessment of the market demand for this form of medical services. Authors hope that in the nearest years of the telemedicine it will become a very popular and widely applied form of providing medical services in Poland.

4

Influence of ECG testing errors on Automatic ECG interpretation

Petrović I., Eljuga K., Puharić Z.

Przegląd Elektrotechniczny

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2016

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R. 92, nr 9

216--219

EN

The ECG testing is very common in health diagnose of a patient. Also, in present it is common to apply as many automated technology solutions as possible. Generally, this should insure better quality of gained diagnostic results. On the other hand, complex solutions invoke human error in procedure, which ultimately can provide inaccurate results. The influence of such errors on example of ECG testing is analyzed and compared to normal ECG test in this research, where six scenarios are deliberately forced to provide fault diagnose.

PL

Do analizy sygnałów EKG stosuje się obecnie wiele metod automatyzacji. W artykule analizuje się możliwe błędy w interpretacji sygnałów EKG.

5

Wpływ chorób serca na jakość życia – opracowanie na podstawie przeglądu piśmiennictwa

Cieślik B.

Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna

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2014

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Vol. 20, nr 2

101-118

PL

W pracy przeanalizowano opublikowane wyniki badań naukowych na temat jakości życia pacjentów z chorobami kardiologicznymi. W tym celu dokonano przeglądu artykułów w wiodących kardiologicznych czasopismach zagranicznych (Annals of Thoracic Surgery, Arteriosclerosis, Thrombosis and Vascular Biology, British Heart Journal, Cardiology, Circulation) i polskich (Kardiologia Polska, Folia Cardiologica Excerpta) opublikowanych od stycznia 2004 do grudnia 2013 roku. Do analizy wybrano 42 artykuły (28 z piśmiennictwa zagranicznego i 14 z piśmiennictwa polskiego), które zostały podzielone na następujące grupy: zaburzenia rytmu serca – 8 artykułów, choroby aorty i zastawki aortalnej – 9 artykułów, choroba niedokrwienna serca – 4 artykuły, wrodzone wady serca – 5 artykułów, choroba wieńcowa – 7 artykułów, choroba tętnic obwodowych – 2 artykuły oraz zabiegi kardiochirurgiczne – 7 artykułów.

EN

This paper presents an analysis of published data concerning the life quality of patients suffering from cardiological diseases. Papers published in cardiology journals were taken into consideration, among them international journals as Annals of Thoracic Surgery, Arteriosclerosis, Thrombosis and Vascular Biology, British Heart Journal, Cardiology, Circulation and Polish ones: Kardiologia Polska and Folia Cardiologica Excerpta. The papers were published between January 2004 and December 2013. 43 articles were chosen for analysis (28 from international journals and 14 from Polish ones). The articles were divided into seven groups, corresponding to the considered lesions: problems with heart rhythm – 8 articles, aortal diseases – 9 articles, ischaemic heart disease – 4 articles, congenital heart defects – 5 articles, coronary thrombosis – 7 articles, peripheral arterial diseases – 2 articles and cardiosurgical treatments – 7 articles.

6

Modelowanie serca

Nawrat Z., Malota Z.

Inżynier i Fizyk Medyczny

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2013

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Vol. 2, nr 4

175--177

PL

Modelowanie jest doświadczalną metodą badawczą wykorzystującą modele fizyczne i matematyczne. Jako metoda poznawcza odgrywa szczególnie istotną rolę w naukach medycznych, w przypadku gdy przeprowadzanie eksperymentów fizycznych jest trudne do zrealizowania z powodu ingerencji w obiekt żywy, jak i ze względów etycznych. Wpływa na rozwój metod diagnostycznych oraz leczenie chirurgiczne.

7

Metody i urządzenia do diagnostyki serca

Pałko T.

Inżynier i Fizyk Medyczny

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2013

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Vol. 2, nr 4

169--174

PL

W artykule opisano główne choroby serca i naczyń krwionośnych oraz nowoczesne techniki ich badania. Przedstawiono elektrokardiografię, polifizjografię, metody pomiaru ciśnienia krwi, techniki obrazowania struktur i czynności serca i naczyń, w tym rentgenografię, echoultrasonografię, techniki scyntygrafii radioizotopowej oraz tomografii komputerowej (XCT, MRI, SPECT, PET, tomografie multimodalne). Przedstawiono wnioski i wskazano na potrzebę wzajemnej współpracy lekarzy, fizyków i inżynierów medycznych dla dalszego efektywnego rozwoju metod i technik diagnozowania chorób układu krążenia.

EN

In the paper the main heart and vessel diseases were described, as well as modern technologies of their examination. There were presented techniques such as: electrocardiography, polyphysiography, blood pressure measurement methods, heart and vessel structure and activity imaging methods. Particularly, the X-ray radiography, echoultrasonography and several methods of computed tomography (XCT, MRI, SPECT, PET, multimodal tomography), were described. It was indicated that close cooperation between medical doctors, medical physicists and engineers is needed for progress in diagnostic methods in cardiology and medicine.

8

Bioflawonoidy - związki polifenolowe zapobiegające chorobom układu krążenia

Nowak K., Ogonowski J., Więcek K.

Chemik

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2009

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Vol. 62, nr 2

61-64

PL

W pracy przedstawiono znaczenie bioflawonoidów, jako substancji zapobiegających chorobom układu krążenia. Scharakteryzowano ich występowanie, otrzymywanie oraz działanie lecznicze.

EN

This work presents the significance of bioflavonoids as substances preventing circulatory disorders. Their occurrence, preparation and therapeutic effects are characterised.

9

Entropia w badaniach zaburzeń rytmu serca

Graff B., Graff G., Kolesiak A.

Matematyka Stosowana : matematyka dla społeczeństwa

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2008

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Nr 9

46-56

PL

Artykuł prezentuje zastosowanie Approximate Entropy, będącej miarą stopnia złożoności szeregów czasowych, do analizy zmienności rytmu serca.

EN

Healthy human heart rate is characterized by oscillations observed in intervals between consecutive heartbeats (RR intervals). Conventional methods of heart rate variability analysis measure the overall magnitude of RR interval fluctuations around its mean value or the magnitude of fluctuations in predetermined frequencies. The new methods of chaos theory and nonlinear dynamics provide powerful tools, which allow to predict clinical outcome in patients with cardiovascular diseases. The main aim of our article is to present Approximate Entropy (ApEn), a measure of system regularity and complexity, introduced by Pincus in 1991. ApEn estimation used for clinical purposes is applied for finite number of records, divided in vectors, and depends on two fixed parameters m and r. Then Approximate Entropy may be interpreted as the average of negative natural logarithms of conditional probability, that two vectors of length m + 1 are similar (we define here r-similarity), if two vectors of the length m are similar. The article provides a formal mathematical description of ApEn and presents a simple algorithm for its assessment. The choice of input parameters m and r is also discussed. In vast majority of publications r depends on standard deviation (SD) of average of all records, when individual features of heart rhythm are taken into account. The fraction of r, equal to 0, 2SD, and m = 2 are usually chosen on the basis of previous findings of good statistical validity. With the above set of parameters we can avoid the influence of outliers and do not loose too much information. ApEn has also some disadvantages - the main is counting self similarities. To reduce this kind of bias some improvements of the methods based on Pincus’ algorithm were developed. For example Sample Entropy (SampEn), which has similar algorithm but does not count self-matches, was proposed and easily applied to clinical time-series. In the article we present also an application of ApEn in predicting atrial fibrillation (AF), a type of arrhythmia which is the most common sustained heart rhythm disturbance. Both ApEn and SampEn decrease before the spontaneous onset of AF. What is more, ApEn is not sensitive to ectopy beats and therefore can be assessed fully automatically. The potential application of ApEn is the possibility to detect an increased vulnerability to AF before the onset of arrhythmia during continuous heart rate recording, for example for patients with implantable pacemakers. The recognition of the higher risk of AF would be followed by immediate pacemaker reprogramming to prevent an episode of arrhythmia. It would result not only in better quality of life of the patient but also in decreased number of hospitalization and cost of treatment.

10

Self optimizing neural network - as expert system in medical heart attack.

Popa A., Wojczyk S., Lizis M.

Journal of Medical Informatics & Technologies

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2008

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Vol. 12

77--82

EN

The main aim of Self Optimizing Neural Network (SONN), which are presented in this paper, is construction of expert system on the basis of analysis of medical information about group of patients. The expert system is built on the basis of neural network, and the main task of this system is to expect future patient health, based on information about the patient. Such a system can give the doctors a hint about that what can be happen with patient. And what is more important - the SONN construction process is very flexibly and adapts topology and all weights to training data. This is undoubtedly a great advantage of this type of neural network. Moreover the construction process is quite simple. The network topology and all connections between neurons can be easy implemented and kept in such a way, which allows to create very efficient expert system. In this paper we describe the process of construction of neural network which is based on one-shot analysis of learning patterns. On the basis of appropriate computation the SONN topology is built. The construction process can be repeated on the learning group of patients. In this way the expert system (based on SONN) will be better and better.