Stevan Jovica Marinkovic

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This paper presents an energy-efficient medium access control protocol suitable for communication in a wireless body area network for remote monitoring of physiological signals such as EEG and ECG. The protocol takes advantage of the static nature of the body area network to implement the effective time-division multiple access (TDMA) strategy with very(More)
Body Area Networks (BAN) are a specific type of Network structure. They are spread over a very small area and their available power is heavily constrained. Hence it is useful to have gateway points in the network, such as nodes carried around the belt, that are less power constrained and can be used for network coordination. This network structure can(More)
We designed, implemented, tested and measured an ultra low power Wake Up Receiver (WUR), intended for use in Wireless Body Area Networks (WBAN). Gaussian OnOff Keying (GOOK) and Pulse Width Modulation (PWM) are used to modulate and encode, respectively, the preamble signal. The receiver incorporates a decoder to enable Serial Peripheral Interface (SPI). WUR(More)
Modern medical wireless systems present a challenge where communication reliability is crucial, but the resources are limited, since medical devices carried on a patient need to be small. We propose, simulate and analyze one relay network, and show that network coding along with redundancy can be used as a very efficient error recovery mechanism that(More)
Many protocols have been developed for the Wireless Body Area Networks, reducing the transceivers duty cycle, and the energy consumed for the communication. But, since regular transceivers use significant amount of power for idle channel listening, all of these protocols have high overhead in power consumption when sensors need to work with asynchronous(More)
This paper presents the design, implementation and characterization of an energy--efficient smart power unit for a wireless sensor network with a versatile nano-Watt wake up radio receiver. A novel Smart Power Unit has been developed featuring multi-source energy harvesting, multi-storage adaptive recharging, electrochemical fuel cell integration, radio(More)
In recent years there is growing pressure on the medical sector to reduce costs while maintaining or even improving the quality of care. A potential solution to this problem is real time and/or remote patient monitoring by using mobile devices. To achieve this, medical sensors with wireless communication, computational and energy harvesting capabilities are(More)
Recent advances in the area of wireless body area networks (WBANs) open new horizons in areas ranging from mHealth to entertainment. Reliability of communications and power consumption are paramount to widespread adoption of this technology. In this paper, we use ambulatory electroen-cephalography (EEG) monitoring in the context of WBANs and describe some(More)
This paper proposes a practical implementation of a low power DSP algorithm for respiration rate measurement using the photoplethysmography (PPG) sensor (finger pulse oximeter of SpO<inf>2</inf> sensor). The algorithm was first implemented and tested on a control data using matlab, to prove its validity. A number of datasets were tested with respiration(More)