Cardiovascular diseases in the mirror of science

Biglu, Mohammad-Hossein; Ghavami, Mostafa; Biglu, Sahar

doi:10.15171/jcvtr.2016.32

Cited by 28 publications

(16 citation statements)

References 9 publications

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“…Cardiovascular diseases (CVDs) are the leading cause of death in the world [3]. In 2016, over 17.9 million people died of CVDs, representing 31% of all global deaths by disease.…”

Section: Introductionmentioning

confidence: 99%

A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor

Pérez-Valero

García-Sánchez

Marín

2020

Sensors

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Cardiovascular diseases are the leading cause of death around the world. As a result, low-cost biomedical sensors have been gaining importance in business and research over the last few decades. Their main benefits include their small size, light weight, portability and low power consumption. Despite these advantages, they are not generally used for clinical monitoring mainly because of their low accuracy in data acquisition. In this emerging technological context, this paper contributes by discussing a methodology to help practitioners build a prototype framework based on a low-cost commercial sensor. The resulting application consists of four modules; namely, a digitalization module whose input is an electrocardiograph signal in portable document format (PDF) or joint photographic expert group format (JPEG), a module to further process and filter the digitalized signal, a selectable data calibration module and, finally, a module implementing a classification algorithm to distinguish between individuals with normal sinus rhythms and those with atrial fibrillation. This last module employs our recently published symbolic recurrence quantification analysis (SRQA) algorithm on a time series of RR intervals. Moreover, we show that the algorithm applies to any biomedical low-cost sensor, achieving good results without requiring any calibration of the raw data acquired. In addition, it has been validated with a well-accepted public electrocardiograph (ECG) data base, obtaining 87.65%, 91.84%, and 91.31% in terms of sensitivity, specificity and accuracy, respectively.

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“…Cardiovascular diseases (CVDs) are the leading cause of death in the world [3]. In 2016, over 17.9 million people died of CVDs, representing 31% of all global deaths by disease.…”

Section: Introductionmentioning

confidence: 99%

A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor

Pérez-Valero

García-Sánchez

Marín

2020

Sensors

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“…Cardiovascular disease (CVD) is a major cause of early death in the world population [1][2][3]. Epidemiological studies have shown that about 60% to 80% of CVD occurs due to the exposure of individuals to cardiovascular risk factors (CRFs) [4].…”

Section: Introductionmentioning

confidence: 99%

Effects of 12 Weeks of Resistance Training on Cardiovascular Risk Factors in School Adolescents

et al. 2020

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Background and objectives: The practice of physical exercise, especially resistance exercise, is important for the treatment and/or prevention of cardiovascular risk factors in adult individuals. However, there are few studies on its effects on adolescent individuals. Therefore, the aim of the present study was to evaluate the effects of applying a 12-week resistance training program on cardiovascular risk factors in adolescents. Materials and Methods: Thus, 122 adolescents aged 13–16 years of both genders participated in the study from school in the city of Lagarto, Sergipe (SE), Brazil, divided into two groups: Control Group (CG) and Group undergoing resistance training (RTG). Blood collection and anthropometric measurements were performed before and after the 12-week resistance training program (RTP). Results: After 12 weeks of the RTP in the adolescents, there was a reduction in the triglyceride variables (9.55%, p = 0.0286), Low-Density Lipoproteins (LDL) (5.42%, p = 0.0244), non-High-Density Lipoproteins (HDL) (5.40%, p = 0.0019), blood glucose (6.71%, p = 0.0040), systolic blood pressure (10.13%, p < 0.0001), as well as an increase in the body weight variable (1.73%, p = 0.0003). Conclusions: It was concluded that a 12-week RTP can prevent and/or alleviate the development of several chronic degenerative diseases in adulthood and that resistance training is important for maintaining the health of adolescents.

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“…Ever since Einthoven [1,2] discovered the possibility of obtaining an electrocardiogram (ECG) from cardiac activity, cardiologists have been able to take advantage of this effective and efficient tool for diagnosing cardiac disorders [1,3,4]. Specifically, an ECG is a particular recording of the electrical activity of the heart muscle about the potentials of the body surface [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Modified Heart Dipole Model for the Generation of Pathological ECG Signals

2020

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In this paper, we introduce a new dynamic model of simulation of electrocardiograms (ECGs) affected by pathologies starting from the well-known McSharry dynamic model for the ECGs without cardiac disorders. In particular, the McSharry model has been generalized (by a linear transformation and a rotation) for simulating ECGs affected by heart diseases verifying, from one hand, the existence and uniqueness of the solution and, on the other hand, if it admits instabilities. The results, obtained numerically by a procedure based on a Four Stage Lobatto IIIa formula, show the good performances of the proposed model in producing ECGs with or without heart diseases very similar to those achieved directly on the patients. Moreover, verified that the ECGs signals are affected by uncertainty and/or imprecision through the computation of the linear index and the fuzzy entropy index (whose values obtained are close to unity), these similarities among ECGs signals (with or without heart diseases) have been quantified by a well-established fuzzy approach based on fuzzy similarity computations highlighting that the proposed model to simulate ECGs affected by pathologies can be considered as a solid starting point for the development of synthetic pathological ECGs signals.

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Cardiovascular diseases in the mirror of science

Cited by 28 publications

References 9 publications

A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor

A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor

Effects of 12 Weeks of Resistance Training on Cardiovascular Risk Factors in School Adolescents

A Modified Heart Dipole Model for the Generation of Pathological ECG Signals

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