Optimizing EEG Signal Integrity: A Comprehensive Guide to Ocular Artifact Correction.

Ocular artifacts, including blinks and saccades, pose significant challenges in the analysis of electroencephalographic (EEG) data, often obscuring crucial neural signals. This tutorial provides a comprehensive guide to the most effective methods for correcting these artifacts, with a focus on algorithms designed for both laboratory and real-world settings. We review traditional approaches, such as regression-based techniques and Independent Component Analysis (ICA), alongside more advanced methods like Artifact Subspace Reconstruction (ASR) and deep learning-based algorithms.

Clinical engineering development in the Uruguayan public health system.

Establishment of the clinical engineering department with a network of 5 operational centers to strengthen public medical equipment management and maintenance, in the context of the Health System reform with the purpose of ensuring universal access to the health services in the Republic of Uruguay.