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In this study, a flexible wireless body area network (WBAN) node platform has been designed and implemented based on the Zigbee technology. In order to provide wide range WBAN for health monitoring, a Zigbee/Internet Gateway (ZiGW) has also been developed rather than using a PDA or a host PC to connect different WBANs by using the Internet as the(More)
BACKGROUND Human life can be further improved if diseases and disorders can be predicted before they become dangerous, by correctly recognizing signals from the human body, so in order to make disease detection more precise, various body-signals need to be measured simultaneously in a synchronized manner. OBJECT This research aims at developing an(More)
Heart rate variability (HRV) dynamics are particularly sensitive to changes in emotional states, and positive and negative emotions can readily be distinguished by changes in heart rhythm patterns. In this paper, we proposed an improved methodology which is a full set of methods from hardware design to software development for HRV analysis. Firstly, a(More)
Atrial fibrillation (AF), the most frequent cause of cardioembolic stroke, is increasing in prevalence as the population ages, and presents with a broad spectrum of symptoms and severity. The early identification of AF is an essential part for preventing the possibility of blood clotting and stroke. In this work, a real-time algorithm is proposed for(More)
The hemodynamic alteration in the cerebral circulation caused by the geometric variations in the cerebral circulation arterial network of the circle of Wills (CoW) can lead to fatal ischemic attacks in the brain. The geometric variations due to impairment in the arterial network result in incomplete cerebral arterial structure of CoW and inadequate blood(More)
Distributed programs are often instrumented for collecting information to assist in analyzing the behavior of an application. However, the act of monitoring a process introduces intrusive overhead that delays the times at which actions occur in a monitored execution in comparison to the times at which they occur in an unmonitored execution. These delays can(More)
Heart rate variability (HRV) analysis is commonly used as a quantitative marker depicting the activity of autonomic nervous system (ANS) that may be related to mental or psychological stress. HRV features can be extracted by detecting QRS complexes from electrocardiogram (ECG) signals. The purpose of this paper is to assess the biological effect of visual(More)
This paper presents on-line perturbation tracking and intrusion removal techniques which are designed to accommodate delays which occur due to monitoring activities. These accommodations eliminate the effect of monitoring intrusion on the execution behavior and the scheduling of the monitored computation. By maintaining an adjusted time view, the intrusion(More)
An automated framework for detecting lumen and media-adventitia borders in intravascular ultrasound images was developed on the basis of an adaptive region-growing method and an unsupervised clustering method. To demonstrate the capability of the framework, linear regression, Bland-Altman analysis and distance analysis were used to quantitatively(More)
Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major(More)