49 documents found, page 1 of 5
Unraveling the microbiome–environmental change nexus to contribute to a more su...
Barbosa, Maria Inês; Silva, Gabriel; Ribeiro, Pedro; Vieira, Eduarda; Perrotta, André; Moreira, Patrícia; Rodrigues, Pedro MiguelThis review aims to explore the literature to assess the potential of artificial intelligence (AI) in environmental monitoring for predicting microbiome dynamics. Recognizing the significance of comprehending microorganism diversity, composition, and ecologically sustainable impact, the review emphasizes the importance of studying how microbiomes respond to environmental changes to better grasp ecosystem dynami...
Intra- and inter-regional complexity in multi-channel awake EEG through multiva...
Zandbagleh, Ahmad; Sanei, Saeid; Penalba-Sánchez, Lucía; Rodrigues, Pedro Miguel; Crook-Rumsey, Mark; Azami, HamedAging and poor sleep quality are associated with altered brain dynamics, yet current electroencephalography (EEG) analyses often overlook regional complexity. This study addresses this gap by introducing a novel integration of intra- and inter-regional complexity analysis using multivariate multiscale dispersion entropy (mvMDE) from awake resting-state EEG for the first time. Moreover, assessing both intra- and...
Machine learning-based spectral analyses for camellia japonica cultivar identif...
Rodrigues, Pedro Miguel; Sousa, ClaraCamellia japonica is a plant species with high cultural and biological relevance. Besides being used as an ornamental plant species, C. japonica has relevant biological properties. Due to hybridization, thousands of cultivars are known, and their accurate identification is mandatory. Infrared spectroscopy is currently recognized as an accurate and rapid technique for species and/or subspecies identifications, i...
Near-infrared spectroscopy machine-learning spectral analysis tool for blueberr...
Ribeiro, Pedro; Barbosa, Maria Inês; Sousa, Clara; Rodrigues, Pedro MiguelVaccinium corymbosum is one of the main sources of commercialized blueberries across the world. This species has a large number of distinct cultivars, leading to significantly different berries characteristics such as size, sweetness, production rate, and growing season. In this context, accurate cultivar discrimination is of significant relevance, and currently, it is mostly performed through berries examinati...
Classification of sleep quality and aging as a function of brain complexity: a ...
Penalba-Sánchez, Lucía; Silva, Gabriel; Crook-Rumsey, Mark; Sumich, Alexander; Rodrigues, Pedro Miguel; Oliveira-Silva, Patrícia; Cifre, IgnacioUnderstanding and classifying brain states as a function of sleep quality and age has important implications for developing lifestyle-based interventions involving sleep hygiene. Current studies use an algorithm that captures non-linear features of brain complexity to differentiate awake electroencephalography (EEG) states, as a function of age and sleep quality. Fifty-eight participants were assessed using the...
Exploring the relationship between CAIDE dementia risk and EEG signal activity ...
Manuel, Alice Rodrigues; Ribeiro, Pedro; Silva, Gabriel; Rodrigues, Pedro Miguel; Nunes, Maria Vânia SilvaBackground: Accounting for dementia risk factors is essential in identifying people who would benefit most from intervention programs. The CAIDE dementia risk score is commonly applied, but its link to brain function remains unclear. This study aims to determine whether the variation in this score is associated with neurophysiological changes and cognitive measures in normative individuals. Methods: The sample ...
Electroencephalogram-based time-frequency analysis for Alzheimer’s disease dete...
Rodrigues, Sérgio Daniel; Rodrigues, Pedro MiguelBackground: Alzheimer's disease (AD) is the most common form of dementia. The lack of effective prevention or cure makes AD a significant concern, as it is a progressive disease with symptoms that worsen over time. Objective: The aim of this study is to develop an algorithm capable of differentiating between patients with early-stage AD (mild cognitive impairment [MCI]), moderate AD, and healthy controls (C) us...
Shelf-life management and ripening assessment of ‘hass’ avocado (persea america...
Xavier, Pedro; Rodrigues, Pedro Miguel; Silva, Cristina L. M.Avocado production is mostly confined to tropical and subtropical regions, leading to lengthy distribution channels that, coupled with their unpredictable post-harvest behaviour, render avocados susceptible to significant loss and waste. To enhance the monitoring of ‘Hass’ avocado ripening, a data-driven tool was developed using a deep learning approach. This study involved monitoring 478 avocados stored in thr...
Cardiovascular diseases diagnosis using an ECG multi-band non-linear machine le...
Ribeiro, Pedro; Sá, Joana; Paiva, Daniela; Rodrigues, Pedro MiguelBackground: cardiovascular diseases (CVDs), which encompass heart and blood vessel issues, stand as the leading cause of global mortality for many people. Methods: the present study intends to perform discrimination between seven well-known CVDs (bundle branch block, cardiomyopathy, myocarditis, myocardial hypertrophy, myocardial infarction, valvular heart disease, and dysrhythmia) and one healthy control group...
Machine learning-driven GLCM analysis of structural MRI for Alzheimer’s disease...
Oliveira, Maria João; Ribeiro, Pedro; Rodrigues, Pedro MiguelBackground: Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative condition that increasingly impairs cognitive functions and daily activities. Given the incurable nature of AD and its profound impact on the elderly, early diagnosis (at the mild cognitive impairment (MCI) stage) and intervention are crucial, focusing on delaying disease progression and improving patients’ quality of life....