Survey of challenges in hybrid optical wireless broadband network (HOW-B) for e-health systems
ABSTRACT The hybrid optical-wireless broadband network (HOW-B) is shows potential future for healthcare communication systems and networks. The marvel innovations in free space optics (FSO) based wireless communication, medical sensors and mobile network technologies have associated with emerging biological fields of telemedicine and bioinformatics. On the other hand, the progressive developments in optical based wireless technology have opened up a window for life-saving network services. The wireless network along with advance modeling technique of patient-care facilitates in monitoring of the physiological data, the treatment optimization, and continuous patient-care. This provides an improvement of care and quality of patient's life without interrupt circulation in everyday life activity. In this paper, the FSO and RF networks viable connectivity and low-cost optical wireless tele-monitoring network system has been introduced. In addition, it provides review of the interoperability and QoS assurance issue, also compare various feature of optical wireless with (RF) wireless network.
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ABSTRACT: In free-space optical communication links, atmospheric turbulence causes fluctuations in both the intensity and the phase of the received light signal, impairing link performance. We describe several communication techniques to mitigate turbulence-induced intensity fluctuations, i.e., signal fading. These techniques are applicable in the regime in which the receiver aperture is smaller than the correlation length of fading and the observation interval is shorter than the correlation time of fading. We assume that the receiver has no knowledge of the instantaneous fading state. When the receiver knows only the marginal statistics of the fading, a symbol-by-symbol ML detector can be used to improve detection performance. If the receiver has knowledge of the joint temporal statistics of the fading, maximum-likelihood sequence detection (MLSD) can be employed, yielding a further performance improvement, but at the cost of very high complexity. Spatial diversity reception with multiple receivers can also be used to overcome turbulence-induced fading. We describe the use of ML detection in spatial diversity reception to reduce the diversity gain penalty caused by correlation between the fading at different receivers.IEEE Transactions on Communications 09/2002; · 1.75 Impact Factor
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ABSTRACT: The new advances in sensor technology, personal digital assistants (PDAs), and wireless communications favor the development of a new type of monitoring system that can provide patients with assistance anywhere and at any time. Of particular interest are the monitoring systems designed for people that suffer from heart arrhythmias, due to the increasing number of people with cardiovascular diseases. PDAs can play a very important role in these kinds of systems because they are portable devices that can execute more and more complex tasks. The main questions answered in this paper are whether PDAs can perform a complete electrocardiogram beat and rhythm classifier, if the classifier has a good accuracy, and if they can do it in real time. In order to answer these questions, in this paper, we show the steps that we have followed to build the algorithm that classifies beats and rhythms, and the obtained results, which show a competitive accuracy. Moreover, we also show the feasibility of incorporating the built algorithm into the PDA.IEEE Transactions on Information Technology in Biomedicine 04/2005; · 1.98 Impact Factor
Conference Proceeding: A wireless monitoring system for pulse-oximetry sensors[show abstract] [hide abstract]
ABSTRACT: This paper presents a wireless medical monitoring system. The system permits to receive and process in a single concentrator node (e.g. a laptop or a simple handheld device) the pulse-oximetry signals from one ore several monitored patients without using any wired infrastructure. The system, which is based on a piconet of Bluetooth sensors, can retransmit the medical signals by WLAN and GPRS. The paper describes the practical application scenarios in which this type of systems could be of great utility.Systems Communications, 2005. Proceedings; 09/2005