Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT)
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …

In the context of physiological monitoring applications, wearable sensor platforms usually
have to sustain long-term acquisitions, necessary to assess correctly the individual health …

This paper introduces an alternative method for compressed sensing and reconstruction of
ECG that is patient agnostic and offers a high compression ratio. The high compression ratio …

This paper evaluates the Galvanic Skin Response (GSR) signals to three different acoustic
stimuli, collected through a commercial wearable device (Empatica E4) by a group of …

Continuous and long-term measurement of physiological signals out of clinical settings may
face different processing requirements resulting in higher costs or reduced performance …

This paper presents an innovative method for multiple lead electrocardiogram (ECG)
monitoring based on Compressed Sensing (CS). The proposed method extends to multiple …

Physical exertion undoubtedly influences physiological parameters. The aim of this paper is
to propose a Machine Learning classifier able to evaluate the physical state of subjects …

To prevent lifestyle diseases, portable heartbeat detection systems by electrocardiograms
(ECGs) for daily life monitoring have attracted attentions. For portable systems, power …

Energy consumption involved in wireless transmission poses a major challenge in the
implementation of wireless body area networks (WBAN). Compressed sensing (CS)-based …

This paper proposes the use of the Deterministic Binary Block Diagonal (DBBD) matrix as
sensing matrix for compressed sensing of heart sound signals. The use of a deterministic …