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American Journal of Drug Discovery and Development

Year: 2013 | Volume: 3 | Issue: 3 | Page No.: 158-165
Research Article

Medical Super Sensor for Drug Delivery of Cancer Monitoring System Using Improved Particle Swarm Optimization

S. Raj Anand
Department of Computer Science and Engineering, Vel Tech Dr. RR and Dr. SR Technical University, Chennai, 600062, Tamil Nadu, India
E. Kannan
Department of Computer Science and Engineering, Vel Tech Dr. RR and Dr. SR Technical University, Chennai, 600062, Tamil Nadu, India
The recent trend of advanced concept in wireless sensor network is human health care system. It has sensed the various human bodies for diagnosing the disease. In this fact drug delivery is one of factor to inject drug in to the human body and finding the cancer cells. In this case, the doctor can take the complex effort to diagnose the cells and demolished by the drugs. This kind of complexity has been avoided by the sensor networks. The Medical Super Sensor (MSS) is the sophisticated sensor is integrated with Improved Particle Swarm Optimization (IPSO) algorithm to detect the drugs where it has reached to the appropriate damaged cells or not. This algorithm had used to find the position to delivery of drug into the human body. If the signal has transmitted to the body using with the MSS sensor, then the drugs have properly injected and circulating in the body. Doctor could monitor the process in the system and alarm indicates to doctor where it has been reached to appropriate position. The MSS sensor has more memory for storing the data about the patient record in the world. The results of the problems were carefully studied and discussed these issues for giving one short of remedies to the doctors.
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References

  1. Rout, A., M. Maharanaa and T. Sahu, 2013. An efficient algorithm for secure transmission of heart diagnosis data and drug delivery using WSN. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 226-233.
  2. Wishart, D.S., C. Knox, A.C. Guo, S. Shrivastava and M. Hassanali et al., 2006. DrugBank: A comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res., 34: 668-672.
    PubMed
  3. Cockburn, I.M. and R. Henderson, 1999. The diffusion of science driven drug discovery: Organizational change in pharmaceutical research. National Bureau Of Economic Research, pp: 1-59. http://www.nber.org/papers/w7359.pdf.
  4. Eberwine, J. and T. Bartfai, 2011. Single cell transcriptomics of hypothalamic warm sensitive neurons that control core body temperature and fever response: Signaling asymmetry and an extension of chemical neuroanatomy. Pharmacol. Therapeutics, 129: 241-259.
    CrossRef
  5. Lui, K.W.K., J. Zheng and H.C. So, 2007. Particle swarm optimizatin for time-difference of arrival based localization. EURASIP, Department of Electronic Engineering, pp: 414-417. http://www.ee.cityu.edu.hk/~hcso/eusipco07_2.pdf.
  6. Mei, L., Q. Tang, Y. Cui, R.G. Tobe, L. Selotlegeng and A.H. Ali, L.Z. Xu, 2013. Changes in and shortcomings of drug stockpiling, vaccine development and related policies during outbreaks of avian influenza A H5N1, H1N1 and H7N9 among humans. Drug Discov. Therapeutics, 7: 95-100.
    PubMed
  7. Aminian, M. and H.R. Naji, 2013. A hospital healthcare monitoring system using wireless sensor networks. Aminian Naji. J. Health Med. Inform., 3: 1-6.
  8. Al-Ameen, M. and K.S. Kwak, 2011. Social issues in wireless sensor networks with healthcare perspective. Int. Arab J. Inform. Technol., 8: 52-58.
  9. Kumar, N., A. Aggrawal and N. Gupta, 2012. Wearable sensors for remote healthcare monitoring system. Int. J. Eng. Trends Technol., 3: 37-42.
  10. Chipara, O., C. Lu, T.C. Bailey and G.C. Roman, 2012. Reliable clinical monitoring using wireless sensor networks experiences from a step-down hospital unit. Washington University Press, St. Louis, ISBN: 139781450303446, pp: 1-17.
  11. Cockell, S.J., J. Weile, P. Lord, C. Wipat and D. Andriychenko, 2010. An integrated dataset for in silico drug discovery. J. Integrative Bioinform., Vol. 7.
    CrossRefDirect Link
  12. Sirisha, B., T. Sraddha and K. Vijayanand, 2013. Real-time multi-patient monitoring system using arm and wireless sensor network. Int. J. Commun. Network Secur., 2: 41-47.

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