Edilson Delgado-Trejos

TL;DR: Fractal type features were the most robust family of parameters (in the sense of accuracy vs. computational load) for the automatic detection of murmurs from phonocardiographic signals.

TL;DR: Nonlinear dynamic features are valuable tool for automatic detection of hypernasality; addtionally both feature selection techniques show stable and consistent results, achieving accuracy levels of up to 93.73%.

TL;DR: This paper presents a review of indirect measurement with the aim of understanding the state of development in this area, as well as the current challenges and opportunities; and proposes to gather all the different designations under the term soft metrology, broadening its definition.

TL;DR: The results seem to indicate that shorter lengths than those suggested by N>>m! are sufficient for a stable PE calculation, and even very short time series can be robustly classified based on PE measurements before the stability point is reached.

TL;DR: This paper describes, in detail, 27 techniques that mainly focus on the smoothing or elimination of speckle noise in medical ultrasound images, and describes recent techniques in the field of machine learning focused on deep learning, which are not yet well known but greatly relevant.