On the Deconvolution Analysis of Electrodermal Activity in Bipolar Patients.

On the deconvolution analysis of electrodermal activity in bipolar patients.

Filed under: Depression Treatment

Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 6691-4
Greco A, Lanata A, Valenza G, Rota G, Vanello N, Scilingo EP

People affected by bipolar disorders experience alternating states of depression with episodes of mania or hypomania. This mental can lead to a poor handling of daily routines, can worsen personal relationships, and often can be life-threatening. This preliminary study aims at investigating how the autonomic nervous system, in terms of electrodermal activity, responds to specific controlled emotional stimuli in bipolar patients. More specifically, we present here a method to deploy the analysis of ElectroDermal Activity (EDA) to discriminate clinical mood states. EDA was analyzed by using a deconvolution method to separate tonic from phasic components. The three subjects recruited and the experimental protocol used here is part of the European project PSYCHE. Preliminary results show that the bipolar mood states can be related to electrodermal tonic activity.
HubMed – depression


The effect of aging on brain temporal perception using Virtual Reality Neurocognitive (VRN) experiments.

Filed under: Depression Treatment

Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4808-11
Garcia Campuzano MT, Moussavi Z

This paper reports a study conducted to assess brain temporal perception across different age groups. A novel Virtual Reality Neurocognitive (VRN) test, which consists of catching a virtual bouncing ball with a paddle, was employed. A total of 44 volunteers with no cognitive impairments and 3 individuals diagnosed with depression but cognitively healthy, in the age range of 19 to 82 years, participated in this study. Results show that the ability to accurately perceive time deteriorates with age.
HubMed – depression


Preliminary analysis of physiological changes of nursing students during training.

Filed under: Depression Treatment

Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 3772-5
Milosevic M, Jovanov E, Frith KH, Vincent J, Zaluzec E

Long-term exposure to stress has been associated with chronic diseases, depression, and immune disorders. The precise detection and assessment of stress depends on personalized physiological monitoring and assessment of influence of personal and workplace factors We monitored nursing students during training on a high fidelity simulator in the Real-time Physiological Monitoring Lab at the University of Alabama in Huntsville. In this paper we present the preliminary results of this pilot study. A total of 14 participants were recorded: 12 female and 2 male subjects, 23-46 years old with an average age of 32.8 years. We analyzed heart rate, Heart Rate Variability (HRV), respiration, and physical activity. The results indicate significant strain on subjects during simulation: heart rate increased 16.7%, from 82.8 to 96.6 bpm (p<0.001), falling to a slightly increased level after the training session (84.9 bpm); Root Mean Square of Successive RR Differences (RMSSD) decreased from 38.9 ms to 37.7 ms; the breathing rate increased during the simulation from 16.9 to 17.7 breaths/min. Distractions also significantly influenced physiological parameters: the first telephone call increased heart rate on average 9 bpm (p<0.001), while the second call increased heart rate 8.6 bpm (p<0.001). The simulated patient-related events created even more prominent response; the average heart rate increased 17.4 bpm (p<0.001) at the onset of “patient in crisis” event. Real-time wearable monitoring may provide assessment of occupational stress.
HubMed – depression


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