User profiles for Erika Severeyn

Erika Severeyn Varela

Universidad Simón Bolívar
Verified email at usb.ve
Cited by 291

A new on-line electrocardiographic records database and computer routines for data analysis

CA Ledezma, E Severeyn, G Perpinan… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
Gathering experimental data to test computer methods developed during a research is a hard
work. Nowadays, some databases have been stored online that can be freely downloaded…

Enhancing Impaired Waist-to-Height Ratio Classification Using Neural Networks

E Severeyn, A La Cruz, M Huerta - Workshop on Engineering Applications, 2023 - Springer
Obesity is a condition characterized by the excessive accumulation of adipose tissue.
However, directly measuring adiposity can be challenging, especially in epidemiological and …

Multiclass classification of metabolic conditions using fasting plasma levels of glucose and insulin

M Altuve, AJ Alvarez, E Severeyn - Health and Technology, 2021 - Springer
In clinical practice, plasma glucose concentrations in fasting and postprandial are measured
to assess glucose metabolism and to diagnose diabetes. Plasma glucose and insulin …

Cardiac autonomic modulation in response to a glucose stimulus

G Perpinan, E Severeyn, S Wong, M Altuve - Medical & Biological …, 2019 - Springer
This paper focuses on the effect of a sudden increase of plasma glucose concentration in
the cardiac autonomic modulation using time-domain and frequency-domain heart rate …

An aide diagnosis system based on k-means for insulin resistance assessment in eldery people from the Ecuadorian highlands

…, L Encalada, E Severeyn - 2017 IEEE Second …, 2017 - ieeexplore.ieee.org
The lack of standardized cut-off values for the surrogate methods to diagnose Insulin
resistance (IR) and the fact that the sensitivity of these methods have been studied in specific …

[HTML][HTML] Methodology for the study of metabolic syndrome by heart rate variability and insulin sensitivity

E Severeyn, S Wong, G Passariello… - Revista Brasileira de …, 2012 - SciELO Brasil
This work presents a methodology for studying the Heart Rate Variability (HRV) and Insulin
Sensitivity (IS) during the Oral Glucose Tolerance Test (OGTT) in subjects with Metabolic …

Machine learning methods in the classification of the athletes dehydration

A Alvarez, E Severeyn, J Velásquez… - 2019 IEEE Fourth …, 2019 - ieeexplore.ieee.org
Regular physical activity brings improvement in health and quality of life. It is associated
with reduced risk of several diseases such as cardiovascular disease and type 2 diabetes. …

Data fusion for QRS complex detection in multi-lead electrocardiogram recordings

…, G Perpiñan, E Severeyn… - 11th international …, 2015 - spiedigitallibrary.org
Heart diseases are the main cause of death worldwide. The first step in the diagnose of these
diseases is the analysis of the electrocardiographic (ECG) signal. In turn, the ECG analysis …

Study of cardiac repolarization during Oral Glucose Tolerance Test in metabolic syndrome patients

PVR Farina, E Severeyn, S Wong… - 2012 Computing in …, 2012 - ieeexplore.ieee.org
QT interval could be relevant for cardiopathy assessment in metabolic syndrome (MS) because
of the increased difficulty the cells have to metabolize glucose, thus possibly prolonging …

Diagnosis of type 2 diabetes and pre-diabetes using machine learning

E Severeyn, S Wong, J Velásquez, G Perpiñán… - Latin American …, 2019 - Springer
The type-2 diabetes (T2D) is a multifactorial chronic disease that reduces the quality of
lifestyle and produces the death of a large percentage of the population worldwide. Before the …