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Loss Mitigation Technique for Mobile Healthcare Systems


Affiliations
1 Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, India
2 Department of Electronics and Instrumentation Engineering, St. Joseph Engineering College, Chennai, India
     

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With an increasingly mobile society and the worldwide deployment of mobile and wireless networks, wireless infrastructure can support many current and emerging healthcare applications. The mobile healthcare systems has many advantages such as faster searching and availability of relevant information, efficient decision-making and quicker documentation by physicians and medical staff. Patients can remain under constant observation of expert physicians without being physically present at the hospitals. In spite of several advantages there are some significant challenges in the implementation of mobile healthcare applications. One of these challenges is the high error rates (data loss) that occur due to wireless transmission of medical signals. Such losses are intolerable in the transmission of bio-medical signals. One of the solutions to overcome such losses will be destination side loss recovery schemes. Computer simulation results demonstrate that the proposed scheme may serve as an efficient filtering procedure to recover the data loss that occurs in mobile health care applications.


Keywords

Mobile Healthcare Applications, Loss Recovery, Nonlinear Filters, Extended Kalman Filter, Particle Filter.
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  • Loss Mitigation Technique for Mobile Healthcare Systems

Abstract Views: 170  |  PDF Views: 3

Authors

R. Gunasundari
Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, India
R. Geetha
Department of Electronics and Communication Engineering, Pondicherry Engineering College, Puducherry, India
R. Arthi
Department of Electronics and Instrumentation Engineering, St. Joseph Engineering College, Chennai, India

Abstract


With an increasingly mobile society and the worldwide deployment of mobile and wireless networks, wireless infrastructure can support many current and emerging healthcare applications. The mobile healthcare systems has many advantages such as faster searching and availability of relevant information, efficient decision-making and quicker documentation by physicians and medical staff. Patients can remain under constant observation of expert physicians without being physically present at the hospitals. In spite of several advantages there are some significant challenges in the implementation of mobile healthcare applications. One of these challenges is the high error rates (data loss) that occur due to wireless transmission of medical signals. Such losses are intolerable in the transmission of bio-medical signals. One of the solutions to overcome such losses will be destination side loss recovery schemes. Computer simulation results demonstrate that the proposed scheme may serve as an efficient filtering procedure to recover the data loss that occurs in mobile health care applications.


Keywords


Mobile Healthcare Applications, Loss Recovery, Nonlinear Filters, Extended Kalman Filter, Particle Filter.