Physiological changes have long been associated with emotion. Although the relative role of cognitive versus physiological processes in emotion has been debated, it is acknowledged that in almost all cases, measurable physiological changes co-occur with emotion, for example: changes in heart rate, sweat level, muscle tension, breathing rate, facial expression and electrical activity in the brai...

Assessing the stability of biological system models has aided in uncovering a plethora new insights genetics, neuroscience, and medicine. In this paper, we focus on analyzing neurological signals, including electroencephalogram (EEG) signals. Interestingly, spatiotemporal discrete-time linear fractional-order systems (DTLFOS) have been shown to accurately efficiently represent variety physiolog...

While the research in affective computing has been exclusively dealing with the recognition of explicit affective and cognitive states, carefully designed psychological and neuroimaging studies indicated that a considerable part of human experiences is tied to a deeper level of a psyche and not available for conscious awareness. Nevertheless, the unconscious processes of the mind greatly influe...

We introduce a segmentation algorithm to probe temporal organization of heterogeneities in human heartbeat interval time series. We find that the lengths of segments with different local values of heart rates follow a power-law distribution. This scale-invariant structure is not a simple consequence of the long-range correlations present in the data. We also find that the differences in mean he...

Electrical excitability and signalling, frequently associated with rapid responses to environmental stimuli, are well known in some algae and higher plants. The presence of electrical signals, such as action potentials (AP), in both animal and plant cells suggested that plant cells, too, make use of ion channels to transmit information over long distances. In the light of rapid progress in plan...

This paper describes the design of a wearable multiparametric physiological signal moniror, a continuously running internetworking system for monitoring multiples physiological parameters of individuals during daily tasks. A pi.otot_vpe, measuring parameters such as electrocardiogram, oximetiy and non-invasive blood pressure is now in test. The system peiforms real-time processing on the signal...

In this article we introduce the DRIFTER algorithm, which is a new model based Bayesian method for retrospective elimination of physiological noise from functional magnetic resonance imaging (fMRI) data. In the method, we first estimate the frequency trajectories of the physiological signals with the interacting multiple models (IMM) filter algorithm. The frequency trajectories can be estimated...

Physiological signals provide valuable information about human physical and mental states. For decades, sophisticated equipment has been used to measure them in health and psychological applications. More recently a variety of low-cost portable electronic devices and smart-phone applications are being used to measure physiological signals. The accuracy of these devices has not been evaluated in...

Nonintrusive monitoring of a driver's physiological signals was introduced and evaluated in a car as a test of extending the concept of ubiquitous healthcare to vehicles. Electrocardiogram, photoplethysmogram, galvanic skin response, and respiration were measured in the ubiquitous healthcare car (U-car) using nonintrusively installed sensors on the steering wheel, driver's seat, and seat belt. ...

Recent research has underscored the potential role of analysis of EEG signals as indicators of cognitive decline. Inaddition, we have also seen the emergence of embedded systemsthat are capable of analyzing biological signals in real time totrack a number of physiological variables and make accurate conclusions about the individual’s physiological status andhealth. This paper pr...