A5101652783- Diabetes Management and Research
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Music and Audio Processing
- Neuroscience and Music Perception
- Diverse Musicological Studies
- Artificial Intelligence in Healthcare
- Solar and Space Plasma Dynamics
- Systemic Lupus Erythematosus Research
- Fuzzy Logic and Control Systems
- ECG Monitoring and Analysis
- Infrastructure Maintenance and Monitoring
- Machine Learning in Healthcare
- Heart Rate Variability and Autonomic Control
- Trypanosoma species research and implications
- Neural Networks and Applications
- Music Technology and Sound Studies
- Time Series Analysis and Forecasting
- Hearing Loss and Rehabilitation
- Advanced Neuroimaging Techniques and Applications
- Solar Radiation and Photovoltaics
- Hematological disorders and diagnostics
- Algorithms and Data Compression
- Blood groups and transfusion
Universidad de Extremadura
2020-2024
Universidad de Murcia
2023
Istituto Ricerche Solari Locarno
2023
Universidad Complutense de Madrid
2021-2023
Brigham and Women's Hospital
2011
Harvard University
2011
Children's Hospital of Philadelphia
1964
Objectives. Auditory verbal hallucinations (AVH) are among the most common symptoms in schizophrenia. Earlier studies suggest changes structural connectivity of auditory areas involved pathophysiology hallucinations. Combining diffusion tensor imaging (DTI) and fibre tractography provides a unique opportunity to visualize quantify entire bundles. Methods. Fibre tracts connecting homotopic via corpus callosum were identified with DTI ten first episode paranoid schizophrenia patients healthy...
This dataset provides a collection of Continuous Glucose Monitoring (CGM) data, insulin dose administration, meal ingestion counted in carbohydrate grams, steps, calories burned, heart rate, and sleep quality quantity assessment ac- quired from 25 people with type 1 diabetes mellitus (T1DM). CGM data was acquired by FreeStyle Libre 2 CGMs, Fitbit Ionic smartwatches were used to obtain calories, for at least 14 days. could be utilized glucose prediction models, hypoglycemia hyperglycemia...
Evolutionary Algorithms (EAs) are routinely applied to solve a large set of optimization problems. Traditionally, their performance in solving those problems is analyzed using the fitness quality and computing time, effect evolutionary operators on both metrics used compare different versions EAs. Nevertheless, scientists face nowadays challenge considering energy efficiency addition computational which requires studying consumption algorithms. This paper discusses interest introducing power...
Abstract We present in detail an automatic radio-burst detection system, based on the convolutional neural network, for use with any kind of solar spectrogram. A full methodology model training, performance evaluation, and feedback to generator has been developed special emphasis i) robustness tests against stochastic overfitting effects, ii) specific metrics adapted unbalanced nature solar-burst scenario, iii) tunable parameters probability-threshold optimization, iv) burst-coincidence...
Estimating future blood glucose levels is an essential and challenging task for people with diabetes. It must be carried out based on variables such as current glucose, carbohydrate intake, physical activity, insulin dosing. Accurate estimation to maintain values in a healthy range avoid dangerous events of low (hypoglycemia) extremely high (hyperglycemia). Those situations maintained time can cause not only permanent long-term damage but also short-term complications even the death person....
People with diabetes have to properly manage their blood glucose levels in order avoid acute complications. This is a difficult task and an accurate timely prediction may be of vital importance, specially extreme values. Perhaps one the main concerns people suffer hypoglycemia (low value) event moreover, that will prolonged time. It crucial predict events hyperglycemia (high cause health damages short term potential permanent long term. The aim this paper describe our research on predicting...
Abstract We present in detail an automatic radio burst detection system, based on the AlexNet convolutional neural network, for use with any kind of solar spectrograms. A full methodology model training, performance evaluation and feedback to generator has been developed special emphasis on: i) robustness tests against stochastic overfit effects; ii) specific metrics adapted imbalanced nature scenario; iii) tunable parameters probability threshold optimization; iv) coincidence cross match...
In this paper, we describe the experience gained when Evolutionary Algorithms were applied to SATB music composition and impact it is demonstrating in Spanish Professional Music Conservatories for last three years. To our knowledge, first time that an EA-inspired tool has been used at a national level conservatories.
Optical Music Recognition (OMR) applied to hand-written scores is widely recognized as a hard real-world problem. The number of different symbols that must be in score, such the key, time signatures, tempo, dynamics, notes, alterations, duration, etc, well meanings some may embody depending on position quarter mean notes C, D, E, …, makes OMR much harder challenge than Character (OCR), particularly when dealing with handwritten for Computational Intelligence (CI) methods. This paper...
Blood glucose management is a difficult task that people with diabetes usually have to perform by themselves. An accurate and timely prediction vital in order take decisions recommend corrective actions the patient when future blood value lies outside of target range. It crucial predict events like hyperglycemia hypoglycemia may cause health damages short term potential permanent long term. The aim this paper describe our research on predicting values using two phase Takagi-Sugeno-Kang Fuzzy...
Estimating future blood glucose levels is an essential and challenging task for people with diabetes. It must be carried out based on variables such as current glucose, carbohydrate intake, physical activity insulin dosing. Accurate estimation to maintain values in a healthy range avoid dangerous events of low (hypoglycaemia) extremely high (hyperglycaemia). Those situations maintained time can cause not only permanent long-term damage but also short-term complications even the death person....