Detection of Stress Level and Phases by Advanced Physiological Signal Processing Based on Fuzzy Logic. - Unai Zalabarria; Eloy Irigoyen; Raquel Martínez; Asier Salazar-Ramirez (SOCO-CISIS-ICEUTE, 2016)

Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware. - Unai Zalabarria; Eloy Irigoyen; Raquel Martínez; Javier Arechalde (SOCO-CISIS-ICEUTE, 2017)

An enhanced fuzzy algorithm based on advanced signal processing for identification of stress. - Asier Salazar-Ramirez; Eloy Irigoyen; Raquel Martínez; Unai Zalabarria (Neurocomputing, 2018)

A Low-Cost, Portable Solution for Stress and Relaxation Estimation Based on a Real-Time Fuzzy Algorithm. - Unai Zalabarria; Eloy Irigoyen; Raquel Martínez; Mikel Larrea; Asier Salazar-Ramirez (IEEE Access, 2020)

Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm. - Unai Zalabarria; Eloy Irigoyen; Raquel Martínez; Andrew Lowe (Appl. Math. Comput., 2020)

Diagnosis of atrial fibrillation based on arterial pulse wave foot point detection using artificial neural networks. - Unai Zalabarria; Eloy Irigoyen; Andrew Lowe (Comput. Methods Programs Biomed., 2020)