Alexandros Pantelopoulos

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The design and development of wearable biosensor systems for health monitoring has garnered lots of attention in the scientific community and the industry during the last years.Mainly motivated by increasing healthcare costs and propelled by recent technological advances in miniature biosensing devices, smart textiles, microelectronics, and wireless(More)
Wearable health-monitoring systems (WHMSs) represent the new generation of healthcare by providing real-time unobtrusive monitoring of patients' physiological parameters through the deployment of several on-body and even intrabody biosensors. Although several technological issues regarding WHMS still need to be resolved in order to become more applicable in(More)
Wearable biosensor systems for health monitoring are an emerging trend and are expected to enable proactive personal health management and better treatment of various medical conditions. These systems, comprising various types of small physiological sensors, transmission modules and processing capabilities, promise to change the future of health care, by(More)
This paper describes a mobile hardware/software system (DERMA/care) to help with screening of skin cancer (melanomas). Our system uses an inexpensive apparatus (microscope) and a smart phone (iPhone). These two components standalone are sufficient to capture highly detailed images for use by experts with medical background. However the novelty of our system(More)
Wearable health-monitoring systems (WHMSs) represent the new generation of healthcare by providing real-time unobtrusive monitoring of patients' physiological parameters through the deployment of several on-body and even intrabody biosensors. Although several technological issues regarding WHMS still need to be resolved in order to become more applicable in(More)
The deployment of Wearable Health Monitoring Systems (WHMS) can potentially enable ubiquitous and continuous monitoring of a patient's physiological parameters. Moreover by incorporating multiple biosensors in such a system a comprehensive estimation of the user's health condition can possibly be derived. In this paper we present a Stochastic Petri Net(More)
Remote patient monitoring is a crucial/decisive issue in healthcare system. Healthcare systems strive to improve the quality of service and cost effectiveness of care. Due to the distributed computing nature of wireless sensor network, they play an important role in providing solution to healthcare obstacles based on real time data. Sensor networks are(More)
In this paper we employ the Matching Pursuit algorithm in order to obtain compact time-frequency representations of ECG data, which are then utilized from an ANN to achieve beat classification. To obtain optimum performance, the effect of the following attributes on the classification performance is examined: number of atoms, type of wavelet and number of(More)
The objective of this paper is to develop an NRF signature classifier scheme in order to efficiently and accurately detect and recognize NRF signatures of nuclear material inside a cargo container. In response to this problem we have developed a local-global (LG) graph as the NRF signal representation scheme for efficient matching and on which to build the(More)