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Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review.
Sensors (Basel)
December 2024
REMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.
Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.
View Article and Find Full Text PDFArrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.
Sensors (Basel)
December 2024
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbeats in a small number of classes. Most of these approaches use convolutional neural networks (CNNs), exploiting some bi-dimensional representation of the ECG signal, such as spectrograms, scalograms, or similar.
View Article and Find Full Text PDFFused Multi-Domains and Adaptive Variational Mode Decomposition ECG Feature Extraction for Lightweight Bio-Inspired Key Generation and Encryption.
Sensors (Basel)
December 2024
School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Security is one of the increasingly significant issues given advancements in technology that harness data from multiple devices such as the internet of medical devices. While protecting data from unauthorized user access, several techniques are used including fingerprints, passwords, and others. One of the techniques that has attracted much attention is the use of human features, which has proven to be most effective because of the difficulties in impersonating human-related features.
View Article and Find Full Text PDFThe Prognostic Significance of QTc Prolongation in Lead aVR in Patients with Acute Coronary Syndrome with ST Elevation or Depression.
Medicina (Kaunas)
December 2024
Department of Emergency Medicine, Faculty of Medicine, Gaziantep University, Gaziantep 27410, Turkey.
: In patients with acute coronary syndrome, electrocardiographic parameters, including ST elevation in lead aVR (aVR-STE), ST depression (aVR-STD), and QTc prolongation, are crucial. This study aims to show the predictive value of a longer QTc in emergency department patients with acute coronary syndrome and ≥1 mm ST elevation or depression in the aVR lead in electrocardiography. : A retrospective analysis was conducted on 1273 patients admitted to the emergency department with a preliminary diagnosis of acute coronary syndrome between 2020 and 2023.
View Article and Find Full Text PDFThe Diagnostic Accuracy of an Electrocardiogram in Pulmonary Hypertension and the Role of "R V1, V2 + S I, aVL - S V1".
J Clin Med
December 2024
Faculty of Medicine, Semmelweis University Campus Hamburg, 20099 Hamburg, Germany.
: Pulmonary hypertension (PH) can cause characteristic electrocardiographic (ECG) changes due to right ventricular hypertrophy and/or strain. The aims of the present study were to explore the diagnostic accuracy of ECG parameters for the diagnosis of PH, applying the recently adjusted mean pulmonary artery pressure (mPAP) threshold of >20 mmHg, and to determine the role of "R V1, V2 + S I, aVL - S V1". : Between July 2012 and November 2023, 100 patients without PH, with pulmonary arterial hypertension, or with chronic thromboembolic pulmonary hypertension were retrospectively enrolled.
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