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As a token of my deep appreciation for their professionalism and dedication to the ideals of our magazine, I hereby acknowledge with the list below the many reviewers that have reviewed tirelessly papers for IEEE Network during the past year. Their behind the scenes work provides the strong foundation upon which the quality papers that you read in our(More)
In this paper an efficient heart beat classification algorithm for mobile devices is presented. A simplified ECG model is used for feature extraction in the time domain. QRS complex is modeled by two straight lines while P and T waves are modeled by parabolas. The T wave asymmetry is achieved using a fourth degree parabola, whereas the P wave is modeled by(More)
In this paper a new automatic speech recognition (ASR) CPU-based software, called AlfaNum, with the chosen few heuristics optimized for applications in heterogeneous conditions is described. AlfaNum is a discrete speaker-independent ASR product intended for application in the largest bank-by-phone interactive voice response (IVR) system in Yugoslavia, with(More)
In this paper, an efficient heart beat classification algorithm suitable for implementation on mobile devices is presented. A simplified ECG model is used for feature extraction in the time domain. The QRS complex is modeled using straight lines, while P and T waves are modeled using parabolas. The model parameters are estimated by minimizing the root mean(More)
The paper presents design and implementation of an efficient telemedicine system. Main system capabilities are ECG acquisition, automated analysis, transmission to the server, possibility for physician ECG signal review. ECG acquisition may be achieved using existing commercial devices, as well as using a very affordable device designed by authors. Mobile(More)
This paper describes a novel approach in engaging citizen communities based on serious gaming incorporating integration of the physical and digital worlds through aggregation of Internet of Things (IoT) service with Augmented Reality (AR) data visualization. The IoT service is provided by the ekoNET solution providing real-time monitoring of air quality and(More)
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