[HTML][HTML] Wearable health devices for diagnosis support: evolution and future tendencies

E Escobar-Linero, L Muñoz-Saavedra, F Luna-Perejón… - Sensors, 2023 - mdpi.com
The use of wearable devices has increased substantially in recent years. This, together with
the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In …

[HTML][HTML] Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques

J Civit-Masot, A Bañuls-Beaterio… - Computer Methods and …, 2022 - Elsevier
Background Lung cancer has the highest mortality rate in the world, twice as high as the
second highest. On the other hand, pathologists are overworked and this is detrimental to …

[HTML][HTML] Worker's physical fatigue classification using neural networks

E Escobar-Linero, M Domínguez-Morales… - Expert Systems with …, 2022 - Elsevier
Physical fatigue is not only an indication of the user's physical condition and/or need for
sleep or rest, but can also be a significant symptom of various diseases. This fatigue affects …

[HTML][HTML] Iot device for sitting posture classification using artificial neural networks

F Luna-Perejón, JM Montes-Sánchez, L Durán-López… - Electronics, 2021 - mdpi.com
Nowadays, the percentage of time that the population spends sitting has increased
substantially due to the use of computers as the main tool for work or leisure and the …

[HTML][HTML] A deep-learning based posture detection system for preventing telework-related musculoskeletal disorders

E Piñero-Fuentes, S Canas-Moreno, A Rios-Navarro… - Sensors, 2021 - mdpi.com
The change from face-to-face work to teleworking caused by the pandemic has induced
multiple workers to spend more time than usual in front of a computer; in addition, the …

[HTML][HTML] AnkFall—Falls, falling risks and daily-life activities dataset with an ankle-placed accelerometer and training using recurrent neural networks

F Luna-Perejón, L Muñoz-Saavedra, J Civit-Masot… - Sensors, 2021 - mdpi.com
Falls are one of the leading causes of permanent injury and/or disability among the elderly.
When these people live alone, it is convenient that a caregiver or family member visits them …

[HTML][HTML] Designing and evaluating a wearable device for affective state level classification using machine learning techniques

L Muñoz-Saavedra, E Escobar-Linero… - Expert Systems with …, 2023 - Elsevier
The emotional or affective state has a direct impact not only on personal life, but also in the
field of work, sports, rehabilitation processes, among other fields. In the evolving …

[HTML][HTML] Conceptual framework for quantum affective computing and its use in fusion of multi-robot emotions

F Yan, AM Iliyasu, K Hirota - Electronics, 2021 - mdpi.com
This study presents a modest attempt to interpret, formulate, and manipulate the emotion of
robots within the precepts of quantum mechanics. Our proposed framework encodes …

ECG Pre-processing and Feature Extraction Tool for Intelligent Simulation Systems

M Domínguez-Morales, A Muñoz-Macho… - … on Simulation Tools and …, 2023 - Springer
Sudden cardiac death events and fatal cardiac problems are a field of vital importance for
physicians working with elite athletes. For this reason, it is common to periodically perform …

Disease screening using Artificial Intelligence

A Fuster-Palà, F Luna-Perejón, M Domínguez-Morales - 2024 - researchsquare.com
This work presents a disease detection classifier based on symptoms encoded by their
severity. This model is presented as part of the solution to the saturation of the healthcare …