Biomedical Signal Processing

The HAT-Move

Many studies have been conducted on muscular fatigue. Muscular force production is mainly controlled by two phenomena: the recruitment of additional motor units (MUs) and the increase of firing rate of the already active MUs. These phenomena happen in different proportions in different muscles. Specifically, in some muscles the recruitment of new MUs can be stopped at about 50% of the maximal force, while in others it can be observed until the maximal voluntary contraction force.

This research activity is focused on

1) Investigate physiological correlates of haptic elicitation through advances biomedical signal processing methods

2) Investigate affective properties of touch and affective haptics devices

3) Exploit physiological correlates characterizing haptic devices

4) Develop novel haptic interfaces accounting for spontaneous physiological dynamics

This research activity is focused on

1) The study of cardio-respiratory interaction during affective elicitation

2) Development of new metrics for cardio-respiratory interaction

The study of cardio-respiratory interaction during affective elicitation

1) The study of cardio-respiratory interaction during affective elicitation

2) Development of new metrics for cardio-respiratory interaction

EEG Processing

This research activity focuses on brain dynamics investigation during affective elicitation involving different sensory elicitation.

Electrodermal Activity

Speech signal is a nonstationary signal that is generated by a complex phenomenon that is influenced by the autonomic and somatic nervous systems, through the modulation of breathing activity, vocal muscles tension, salivation and mucus secretion. Generally, phonatory system can be modelled according to the so-called source-filter theory of speech production. In this model the source is represented by pulsatile airflow or turbulent airflow generated by the modulating action of the vocal folds.