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This paper presented the design of a wearable EEG-based control network and emergency medical assistance system which works and is now under test by volunteers. The system can detect the user's blink control signal, heart rates and brain signal, etc. A new scheme to control the device for disabilities was proposed in the paper. A DSP was used to calculate and process these data which can also send...
In this study the photoplethysmography (PPG) signals while mental workload during resting state and physical fatigue and tiredness are investigated. The aim is to examine the relationship between restricted physical fatigue and mental workload, and effects of mental workload on PPG during pre- and post-exercise accompanied with mathematical exercise besides physiological and electrophysiological measurements...
The obstructive sleep apnea/hypopnea syndrome (OSAHS) is one of the most prevalent sleep pathologies. The OSAHS is characterized by repetitive interruptions of respiratory flow caused by upper airway obstructions. The apnea/hypopnea index (AHI) allows to quantify OSAHS severity. It is important to develop methods that allow automatic screening of OSAHS, improving accessibility and costs associated...
Sleep, once thought to form a passive process in human life, is recently discovered to be not so passive with respect to brain activity at all. It has been possible to diagnose both physiological and psychological disorders by the inspection of sleep stages. This paper presents a model for sleep stage detection using EEG, heart rate and galvanic skin response sensors that are affordable and easily...
Stress and Office syndrome are a serious problem that affects a large number of people and tend to develop health problems that can interfere with work and quality of life. In fact, the Institute reports that up to 90 percent clinical studies have shown that stress and office syndrome are a major cause of cardiovascular disease, depression, suicide and substance abuse. Treatment's cost are more than...
Electroencephalogram (EEG) is a common tool to study the changes in brain activity during exercise. In this study, we used recorded Electrocardiography (ECG) to define an average-to-maximal heart rate ratio (AMHRR) as a gauge of relative exercise workload, and explored how the increase of AMHRR affected the brain activity. The EEG signals were recorded from forty-four healthy subjects on four scalp...
Few studies have investigated changes in brain activity during exercise. It is still unclear how exercise affects the brain cortical activity. The aim of this study is to investigate different physiological features during a sustained cycling exercise. We recorded Electrocardiography (ECG) and Electroencephalography (EEG) from participants before, during, and after exercise. We investigate the correlation...
A promising application of brain machine interfaces (BMIs) is predicting user cognitive state, particularly in complex and demanding scenarios, so that automation can dynamically and adaptively adjust task parameters to optimize joint human-machine performance. In this paper we analyze neural, physiological and behavioral data recorded during a complex two-person “crew station” task and investigate...
Exergames are exercise-oriented games that offer opportunities to increase motivation for exercising and improving health benefits. However, Exergames need to be adaptive and provide accurate feedback for physiologically correct exercising, sustaining motivation and for better personalized experiences. To investigate the role of physiological computing in those aspects, we employed a repeated measures...
Highway intersections as planned points of traffic conflict are believed to impose extra mental workload on drivers. The aim of this study is to identify the most representative physiological parameters of drivers' mental workload when they are passing through highway intersections and the relationship It is concluded that traffic flow on the main road section imposes the heaviest mental load on the...
Tobacco use is the leading cause of preventable death and smoking-related illness worldwide. Research has shown that antismoking advertising may help reduce this habit. Nowadays, public service announcements (PSAs) are considered “Effective” or “Ineffective” on the base of official reports concerning behavioral/attitudinal changes toward healthier patterns and health-related savings following the...
The present life style of human beings across globe is full of activities performed with stress due to competition, volume of work, travel needs, planning and defined performance. The study shows that the most altered age group is the young individuals who contributes a lot of development activities. The survey shows that, one of five individual are prone to depression which may lead to nonperformance...
The topic of our research is the detection of concealed information based on ERP (Event Related Potential). As a method to detect concealed information there is CIT (Concealed Information Test). CIT is used to detect intentionally concealed information, for example crime-related information, with subject's physiological response to presented stimuli. We used visually CIT based on P300 in the experiment...
Previous studies suggest that physiological effects of mental effort as manipulated trough cognitive task difficulty differ from effects of mental effort as manipulated trough a visuomotor task such as lane keeping in simulated driving. Most notably, heart rate increases with mental effort in the former but not in the latter task. EEG seems to be indicative of mental effort in both cases. In previous...
Cardiovascular physiological signals such as electrocardiogram (ECG) and arterial blood pressure (ABP) provide direct measure of heart rate. But ECG & ABP recorded in the intensive care unit (ICU) are often seriously corrupted by noise and missing data, which lead to errors in Heart Rate (HR) estimation and incidences of false alarm from ICU monitors. Cardiac activity, because of its relatively...
Evaluation of the RR variability was carried out during the Cyclic Alternating Pattern (CAP) in sleep. CAP is a central phenomenon formed by short events called A-phases that break basal electroencephalogram (EEG) oscillations of the sleep stages. A-phases are classified in three types (A1, A2 and A3) based on the EEG desynchronization during A-phase. However, the relation of A-phases with other systems,...
Recent studies have been showed as the perception of real or displayed masterpieces by ancient or modern painters generate stable neuroelectrical correlates in humans. In this study, we collected the neuroelectrical brain activity correlated with the observation of the real sculpture of Michelangelo's Moses within the church where it is actually installed in a group of healthy subjects. In addition...
Sleep deprivation and/or a high workload situation can adversely affect driving performance, decreasing a driver's capacity to respond effectively in dangerous situations. In this context, to provide useful feedback and alert signals in real time to the drivers physiological and brain activities have been increasingly investigated in literature. In this study, we analyze the increase of cerebral workload...
In this study, a framework able to classify online different levels of mental workload induced during a simulated flight by using the combination of the Electroencephalogram (EEG) and the Heart Rate (HR) biosignals has been proposed. Ten healthy subjects were involved in the experimental protocol, performing the NASA — Multi Attribute Task Battery (MATB) over three different difficulty levels in order...
The aim of this work was to analyze the possibility to apply a neuroelectrical cognitive metrics for the evaluation of the training level of subjects during the learning of a task employed by Air Traffic Controllers (ATCos). In particular, the Electroencephalogram (EEG), the Electrocardiogram (ECG) and the Electrooculogram (EOG) signals were gathered from a group of students during the execution of...
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