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Mostrando ítems 1-6 de 6
Artículo
Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021-01)
Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals involved in making diagnoses. In recent years, Convolutional Neural Networks (CNNs) have been used ...
Ponencia
EMG-Controlled Robotic Prosthetic Arm With Neural Network Training
(IARIA XPS Press, 2020-03-22)
The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able to read the limb muscles’ biopotentials. This projectaims to create an economic alternative to ...
Artículo
Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks
(MDPI, 2019)
Abnormal foot postures during gait are common sources of pain and pathologies of the lower limbs. Measurements of foot plantar pressures in both dynamic and static conditions can detect these abnormal foot postures and ...
Artículo
Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)
The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify COVID-19 are invasive, time consuming and limited in resources. Imaging is a non-invasive technique ...
Artículo
Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana
(IEEE Computer Society, 2016)
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals is a difficult task due to the difficulties of tracking and classifying their actions. Nowadays, ...
Artículo
Low-Power Embedded System for Gait Classification Using Neural Networks
(MDPI, 2020)
Abnormal foot postures can be measured during the march by plantar pressures in both dynamic and static conditions. These detections may prevent possible injuries to the lower limbs like fractures, ankle sprain or plantar ...