Listar por autor "Ruiz Barroso, Paula"
Mostrando ítems 1-5 de 5
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Deep Neural Network to Remove Motion Artifacts from Heart Rate Sensor Embedded on Handle Cane.
Villalba-Bravo, Rafael; Ruiz Barroso, Paula; Castro, Francisco M.; Trujillo-León, Andrés
; Guil-Mata, Nicolás; Vidal-Verdú, Fernando[et al.] (IEEE, 2024)
Devices worn on the body that track physiological metrics, such as heart rate (HR) and skin conductance, have gained popularity and are typically found in items like smart-watches and bracelets. However, these measurements ... -
FADE: Forecasting for anomaly detection on ECG
Ruiz Barroso, Paula; Castro, Francisco M.; Miranda-Calero, José Ángel; Constantinescu, Denisa-Andreea; Atienza, David A.; Guil-Mata, Nicolás[et al.] (Elsevier, 2025-04-22)
Background and Objective: Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances in machine learning ... -
High performance inference of gait recognition models on embedded systems.
Ruiz Barroso, Paula; Castro, Francisco M.; Delgado-Escaño, Rubén; Ramos-Cózar, Julián; Guil-Mata, Nicolás (Elsevier, 2022)
Edge computing is gaining importance in the realm of Deep Learning, particularly after powerful devices such as recent heterogeneous embedded systems have demonstrated remarkable skills for accelerating their challenging ... -
Real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance.
Object localization is vital in computer vision to solve object detection or classification problems. Typically, this task is performed on expensive GPU devices, but edge computing is gaining importance in real-time ... -
Real-time unsupervised video object detection on the edge
Ruiz Barroso, Paula; Castro Payán, Francisco Manuel; Guil-Mata, Nicolás (Elsevier, 2025-02-06)
Object detection in video is an essential computer vision task. Consequently, many efforts have been devoted to developing precise and fast deep-learning models for this task. These models are commonly deployed on discrete ...