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Modified Spatio-Temporal Matched Filtering for Brain Responses Classification
(2022-08)
In this article, we apply the method of spatio-temporal filtering (STF) to electroencephalographic (EEG) data processing for brain responses classification. The method operates similarly to linear discriminant analysis ...
Participation of women in STEM higher education programs in Latin america: The issue of inequality
(2020-07-27)
The low participation of women in STEM fields has
been considered a critical issue in our society. It affects the rights
of women to receive high quality education, to develop their skills
and to improve their career ...
EEG feature selection for ADHD detection in children
(2020-11-03)
Attention deficit and hyperactivity disorder (ADHD) is a medical condition that affects approximately 7% of children worldwide. The diagnosis of ADHD can be done using psychological tests and electroencephalography (EEG). ...
Deep learning architectures for the analysis and classification of brain tumors in MR images
(2020-11-03)
The need to make timely and accurate diagnoses of brain diseases has posed challenges to computer-aided diagnosis systems. In this field, advances in deep learning techniques play an important role, as they carry out ...
Ultrasound image enhancement: A review
(2012)
Medical ultrasound imaging uses pulsed acoustic waves that are transmitted and received by a hand-held transducer. This is a mature technology that it is widely used around the world. Among its advantages are that it is ...
A model for the development of programming courses to promote the participation of young women in STEM
(2021-10-26)
There is a gender gap in science, technology, engineering, and mathematics (STEM), and this is a global problem that affects society. However, it is worth pointing out that the gap is not uniform in all STEM fields. Women’s ...
Biomechanical Analysis of Common Postures during Mobile Phone Use
(2020-12-24)
The use of mobile phones for long periods of time has been associated with musculoskeletal and vision symptoms. This work uses simplified biomechanical models of the head, neck, back, and forearms to estimate the forces ...
A machine learning model for emotion recognition from physiological signals
(Elsevier Ltd, 2020)
Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ...
Estimation of PQ distance dispersion for atrial fibrillation detection
(2021-05-03)
Background and objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. It is
associated with significantly increased morbidity and mortality. Diagnosis of the disease can be based on
the ...
Analysis and classification of lung tissue in ultrasound images for pneumonia detection
(2020-01-03)
Pneumonia is an infection of the lungs caused by virus, bacteria or fungi. It affects mainly children under five and can be life-threatening. Diagnosis of pneumonia is usually performed using imaging techniques such as ...
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.