The study of signals, processes, and systems has motivated the development of different
representations that can be used to analyze and understand them. Classical ways of …

ABSTRACT A critical problem facing data collection in structural health monitoring, for
instance via sensor networks, is how to extract the main components and useful features for …

Background Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances
in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically …

Redundancy: it is a word heavy with connotations of lacking usefulness. I often hear that the
rationale for not using the continuous wavelet transform (CWT)—even when it appears most …

This paper presents a new structural health monitoring strategy based on a deep learning
architecture that uses nonlinear ultrasonic signals for the automatic assessment of breathing …

Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to
monitor the functional hemoglobin oscillations related to cortical activity. One of the main …

Objective. Computer-aided diagnosis of attention-deficit/hyperactivity disorder (ADHD) aims
to provide useful adjunctive indicators to support more accurate and cost-effective clinical …

Structural health monitoring (SHM) of civil infrastructures has become one of the fastest-
growing research areas over the past two decades. SHM has evolved into measuring …

In this manuscript, the authors aim to explore sustainable consumer behaviour during
shopping at a self-service store with fast-moving consumer goods (FMCG). An innovative …

Introduction: A pilot study assessing a novel approach to identify patients with Systemic
Sclerosis (SSc) using deep learning analysis of multi-site photoplethysmography (PPG) …