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Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-Based Approach for the Temporal and Spatial Characterization of the Brain Dynamics
This study aims to provide a temporal and spatial characterization of the human brain activity related to the cardiac cycle in terms of regularity of...
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Inclusion Complexation with Randomly Methylated β-Cyclodextrin – An Opportunity to Achieve Greater Solubility of Dimenhydrinate
Dimenhydrinate is widely used as an antiemetic drug, but its low solubility leads to inadequate absorption rate, causing low bioavailability after...
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Association Between Serum Free Fatty Acids and Total Bilirubin Concentrations in Bosnian Individuals with Diabetes Mellitus Type 2
Serum bilirubin concentrations show antilipolytic effect on free fatty acids metabolism (FFA), and there are indications that FFA levels interfere...
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The Future of (Individual) Security—Vision 2.0?
The key idea of the work is that the technological (r)evolutions have been redefining social and economic concepts. Those changes are impacting...
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A Virtual Reality-Based Setting to Investigate How Environments and Emotionally-Laden Stimuli Interact and Compete for Accessing Consciousness
Despite the clinical relevance of the interaction between emotionally-laden stimuli and their context, little is known about it. We used virtual...
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Postprandial Peak Identification from Continuous Glucose Monitoring Time Series
Continuous glucose monitors (CGMs) have been mainly used in medical applications to monitor blood glucose and to control insulin doses in Type 1...
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Review of MRI Reporter Genes in Oncology
Molecular imaging aims to detect molecular events in entire organisms. Even though it is not possible to directly detect the genes and proteins...
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When an Explanation is not Enough: An Overview of Evaluation Metrics of Explainable AI Systems in the Healthcare Domain
Despite the promising advantages in diagnostics and treatment that Artificial Intelligence (AI) and Machine Learning (ML) can bring to the healthcare...
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Sepsis Detection Using Features Extracted from Photoplethysmography
Sepsis is a life-threatening clinical condition associated with high mortality rates. It is caused by an overreaction of the immune response to an...
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Interpretability and Personalization Aspects in the Development of Clinical Risk Assessment Models
Effective risk stratification at hospital admission or discharge is critical for physicians to develop an appropriate treatment plan for each...
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Smart Sensors for Daily-Life Data Collection Toward Precision and Personalized Medicine: The TOLIFE Project Approach
Precision and personalized medicine is an advanced approach to healthcare that involves the use of smart technologies to collect population-wise...
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The Effect of the Angiotensin-Converting Enzyme Inhibitor Perindopril on the Lipid Status of Rattus Norvegicus (Berkenhout 1769)
Angiotensin-converting enzyme (ACE) inhibitors are an important group of drugs that are widely used in the treatment of hypertension and congestive...
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Identification of Atypical Cardiac Patterns Before and After Exercising Using Artificial Intelligence and Eulerian Video Magnification
This project is part of the research line of emerging technologies in rehabilitation of the BASPI-FootLab research group of the Javeriana University....
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Artificial Intelligence-Based Ultrasound Imaging Classification for Infant Neurological Impairment Disorders: A Review
Artificial intelligence (AI) is now conventionally used in medicine for supporting decision making processes in diagnostic procedures. Ultrasound, as...
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Decomposition of HDsEMG Signals Recorded from a Forearm Extensor Muscle Based on Blind Source Separation
In this paper a decomposition of isometric high-density surface electromyography (HDsEMG) signals was performed using the blind source separaion...
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Relationship Between Personality and Kinematic Parameters of Handwriting
Motor and cognitive systems are largely involved in producing handwriting that develops with age becoming more and more personalized until it reaches...
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Evaluation of Bacterial Biofilm Category Change Due to the Use of Different Signaling Molecules Using Random Forest Classifier
Bacteria have a unique ability to form groups, known as biofilm, which provides nutrients and protection for their inhabitants. Based on its...
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Real-Time Intraoperative Sensorimotor Cortex Localization and Consciousness Assessment with the Spatial and Spectral Profile of the Median Nerve Somatosensory Evoked Potentials
Map** the sensorimotor cortex is a critical first step in various applications, including awake craniotomies and invasive brain-computer interface...
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Brain-Computer Interface Research: A State-of-the-Art Summary 11
With brain-computer interfaces (BCIs), people can send information directly from their brains to computers. People can use BCIs to send messages or...
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A Summary of the 2022 BCI Award with Discussion of BCI Trends
The first chapter of this book readers introduced BCIs, the BCI Award Foundation and 2022 jury, the procedures and criteria of the awards, and the 12...