Context-aware vertical handover mechanisms for mobile patient monitoring


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Pawar, Pravin Amrut (2011) Context-aware vertical handover mechanisms for mobile patient monitoring. thesis.

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Abstract:Mobile patient monitoring refers to continuous or frequent measurement and analysis of biosignals
of a patient by employing mobile computing and wireless communication technologies ‐ irrespective
of patient’s location. Some of the common biosignals are ElectroEncephaloGram (EEG),
MagnetoEncephaloGram (MEG), Galvanic Skin Response (GSR), ElectroCardioGram (ECG) and Heart
Rate Variability (HRV). Common problems observed during the trials of mobile patient monitoring
systems are as follows: 1) Due to patient mobility and wireless networks availability changes,
continuity of patient monitoring is affected; 2) The QoS offered by currently deployed wireless
networks is variable ‐ and hence it may not be sufficient to transmit higher amount of biosignals
data; and 3) The duration of a mobile patient monitoring session is affected due to limited battery
capacity of a mobile device. This thesis researches solution to these problems using context‐aware
computing paradigm and vertical handover technique. Herewith, we propose two context‐aware
vertical handover mechanisms which address wireless network connectivity problems resulting from
patient mobility and select the wireless network that best satisfies QoS requirements of continuous
biosignals delivery. Following the context‐aware computing paradigm, we also adapted proposed
handover mechanism to use a wireless network interface the use of which reduces power
consumption of certain types of handheld mobile devices used in a mobile patient monitoring
system.
Item Type:Thesis
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/78226
Official URL:http://dx.doi.org/10.3990/1.9789036529457
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