66 documents found, page 1 of 7
Integrating Internet of Things into cardiac rehabilitation for heart failure: a...
Klein, Adriana; Pinheiro, Rafael; Fonseca-Pinto, RuiHeart failure (HF) is a prevalent and debilitating condition that significantly affects patients' quality of life and places a substantial burden on healthcare systems. In recent years, digital technologies have been increasingly explored in cardiac rehabilitation (CR), particularly through their integration within Internet of Things (IoT) ecosystems to support remote monitoring and personalized care. This revi...
Shallow and deep learning approaches to classify melanoma and non-melanocytic s...
Spolaôr, Newton; Lee, Huei Diana; Takaki, Weber Shoity Resende; Mendes, Ana Isabel Gonçalves; Fonseca-Pinto, Rui; Nogueira, Conceição VelosoSeveral image processing methods in Dermatology are grounded in shallow and deep learning approaches. These solutions are relevant to assist health experts in decision-making processes related to harmful melanoma—a malignant melanocytic condition—and other skin lesions. This work aims to compare these approaches in a specific classification problem: malignant melanocytic lesions versus non-melanocytic ones. We ...
A memory failure computational model in Alzheimer-like disease via continuous d...
Pinheiro, Rafael Fernandes; Colón, Diego; Fonseca-Pinto, RuiAlzheimer’s disease (AD) is a degenerative neurological condition that impacts millions of individuals across the globe and remains without a healing. In the search for new possibilities of treatments for this terrible disease, this work presents the improved Alzheimer-like disease (IALD) model for memory failure and connects it to a new control technique that establishes a cure for the memory lost, either in b...
Prediabetes risk classification algorithm via carotid bodies and K-means cluste...
Pinheiro, Rafael F.; Guarino, Maria P.; Lages, Marlene; Fonseca-Pinto, RuiDiabetes is a disease that affects millions of people in the world and its early screening prevents serious health problems, also providing relief in the demand for healthcare services. In the search for methods to support early diagnosis, this article introduces a novel prediabetes risk classification algorithm (PRCA) for type-2 diabetes mellitus (T2DM), utilizing the chemosensitivity of carotid bodies (CB) an...
Lurie Control Systems Applied to the Sudden Cardiac Death Problem Based on Chua...
Pinheiro, Rafael F.; Colón, Diego; Antunes, Alexandre; Fonseca-Pinto, RuiSudden cardiac death (SCD) represents a critical public health challenge, emphasizing the need for predictive techniques that model complex physiological dynamics. Studies indicate that the “V-trough” pattern in sympathetic nerve activity (SNA) could act as an early indicator of potentially fatal cardiac events, which can be effectively modeled using a modified version of Chua’s chaotic system, incorporating th...
On the development of diagnostic support algorithms based on CPET biosignals da...
Pinheiro, Rafael F.; Fonseca-Pinto, RuiFor preventing health complications and reducing the strain on healthcare systems, early identification of diseases is imperative. In this context, artificial intelligence has become increasingly prominent in the field of medicine, offering essential support for disease diagnosis. This article introduces an algorithm that builds upon an earlier methodology to assess biosignals acquired through cardiopulmonary e...
ICOHN25 – International Congress of Occupational Health Nursing: Proceedings
Chaves, Cláudia Margarida Correia Balula; Borges, Elizabete Maria das Neves; Melo, Elsa Maria de Oliveira Pinheiro deLivro de resumos do 7.º Congresso ICOHN - International Congress of Occupational Health Nursing que decorreu em Leiria nos dias 2, 3 e 4 de abril de 2025.
Hybrid cardiac telerehabilitation after acute coronary syndrome: self-selection...
Ferreira, José Bernardo; Cabral, Margarida; Santos, Rita; Ferreira, Marta Susana; Fonseca-Pinto, Rui; Antunes, Alexandre; Januário, FilipaAims: To evaluate the effectiveness of a hybrid cardiac telerehabilitation (HCTR) program after acute coronary syndrome (ACS) on patient quality of life (QoL) and physical activity indices throughout phases 2-3 and establish predictors for hybrid program self-selection. Methodology: This single-centre longitudinal retrospective study included patients who attended a cardiac rehabilitation program (CRP) between ...
Hybrid Cardiac Telerehabilitation After Acute Coronary Syndrome: Self-selection...
Ferreira, José Bernardo; Cabral, Margarida; Santos, Rita; Ferreira, Marta; Fonseca-Pinto, Rui; Antunes, Alexandre; Januário, FilipaAims: To evaluate the effectiveness of a hybrid cardiac telerehabilitation (HCTR) program after acute coronary syndrome (ACS) on patient quality of life (QoL) and physical activity indices throughout phases 2-3 and establish predictors for hybrid program self-selection. Methodology: This single-centre longitudinal retrospective study included patients who attended a cardiac rehabilitation program (CRP) between ...
Fine-tuning pre-trained neural networks for medical image classification in sma...
Spolaôr, Newton; Lee, Huei Diana; Mendes, Ana Isabel; Nogueira, Conceição; Parmezan, Antonio Rafael Sabino; Takaki, Weber Shoity ResendeConvolutional neural networks have been effective in several applications, arising as a promising supporting tool in a relevant Dermatology problem: skin cancer diagnosis. However, generalizing well can be difficult when little training data is available. The fine-tuning transfer learning strategy has been employed to differentiate properly malignant from non-malignant lesions in dermoscopic images. Fine-tuning...