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Wireless Body Area Networks (WBAN) also referred to as a body sensor network (BSN), is a set of wearable and implantable devices capable of sensing vital signs such as body temperature, heart rate, blood glucose levels and other parameters, it is also used in gaming and human computer as a non-medical applications. This paper presents a comparative study of(More)
The IEEE 802. 15. 6 is a new communication standard on Wireless Body Area Network (WBAN) for short-range, wireless communications in the vicinity of, or inside a human body. It is used for medical and non-medical applications. The IEEE 802. 15. 6 draft defines a Medium Access Control (MAC) layer compatible with several Physical layers (PHY), it also(More)
Today bio-manufacturers propose various electrocardiogram (ECG) instruments that have addressed a wide variety of clinical issues. However, the discovery of new applications in ECG devices that provide doctors with the right information at the right time and in the right way will help them to provide a highest quality care possible. In this paper, we focus(More)
A time-varying autoregressive ldquoTVARrdquo approach is used for modeling nonstationary signals, and frequency information is then extracted from the TVAR parameters. In this study, we present the application of the TVAR spectrum on the acoustic signal backscattered by an elastic tube. The parameters of this model are determined by the adaptive algorithm.(More)
— Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal, its analysis by the monodimensional techniques, temporal and frequenctial, can be very difficult. The use of the time-frequency techniques can be inevitable to achieve to a correct diagnosis. Between the different existing parametric and non-parametric time-frequency(More)
In this paper, we introduce the time-frequency AR model as a time-varying autoregressive (TVAR) approach for modeling non-stationary signals, and frequency information is then extracted from the TVAR parameters. The impulse response backscattered by Aluminium cylindrical shell is analysed from the parametric time-frequency representation. This(More)
IWBSN (Implantable Wireless Body Sensor Network) becomes nowadays an important area of research in computer science and healthcare application industries for improving the quality of life. Communication with implanted medical devices is considered as a key to effective diagnosis and therapy. These biosensors are implanted inside the patient body to measure(More)
The first method that was developed to deal with the SLAM problem is based on the extended Kalman filter, EKF SLAM. However this approach cannot be applied to a large environments because of the quadratic complexity and data association problem. The second approach to address the SLAM problem is based on the Rao-Blackwellized Particle filter FastSLAM, which(More)
—In a mobile ad hoc network (MANET), a source node must rely on intermediate nodes to forward its packets along multi-hop routes to the destination node. Due to the lack of infrastructure in such networks, secure and reliable packet delivery is challenging. The performance of a Mobile Ad hoc Network (MANET) is closely related to the capability of the(More)
Non-parametric time-frequency analysis for multicomponent nonstationary signals is an important issue in signal processing, especially in the biomedical field. Due to the nonstationary, multicomponent nature of the biomedical ECG signal, the use of time-frequency analysis can be very useful to identify the exact multicomponent structure of this biological(More)