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Background The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–2010, respectively. In this context, this study uses convolutional neural networks for classifying (diagnosing) AF, employing electrocardiogram data in a general hospital. Methods Data...
In this study, we have developed a prototype of wireless ECG biofeedback platform which consists of three parts: a full-featured signal acquisition platform, a full set of software applications for signal displaying, processing and analysis, and a matlab-based audio generator. Moreover, preliminary experiments on heart rate variability (HRV) have been performed to evaluate the performances of this...
The development and realization of a portable wireless electroencephalogram (EEG) monitor has become feasible due to the recent active research activities in the area of Wireless Sensor Networks (WSN). In this paper, we propose an EEG monitor design based on a commercially available WSN device, Body Sensor Networks node (BSN node). The device utilizes Zigbee technology and operates on the TinyOS operating...
The anti-social behaviors of the people who are characteristic of abnormal action have seriously affected our society. Recent years, with the development of brain science, the features of human's abnormal action have been identified by means of the low frontal lobe activities. However, in many countries, the corresponding systems for identification and treatment are in an insufficient situation. Thus,...
The brain is processing various acts and thoughts of humans. Among the functions of the brain, decision making, reasoning and complex calculation are governed by the frontal lobe. If the FLA (Frontal Lobe Activity) is kept low for a long period of time, human reasoning and decision making are interrupted and anti-social behaviors can emerge which are hardly understandable in view of common people...
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