Determining Threshold Distance Providing Less Interference for Wireless Medical Implant Communication Systems in Coexisting Environments under Shadow Fading Conditions
Öz
Important interference problems will be able to be encountered especially close areas to the hospitals where wireless implantable medical systems' communication traffic occurs heavily in near future. It is possible that these interferences could cause wireless implant devices to malfunction and harmful effects on patients. In this study, it is proposed to determine threshold distance in order to get less interference for wireless implantable medical systems under shadow fading conditions where MICS band and MetAids band users coexist intensely simultaneously. In this method, threshold power according to the \cite{FCC} is pulled down by adding extra distance margin in order to minimize the interference effects to the MICS systems using confidence interval calculations. Because received signal strength just below the monitoring threshold power according to the \cite{FCC} brings about much more interferences for the MICS systems even if listen-before-talk technique is applied.
Anahtar Kelimeler
Kaynakça
- [1] FCC Standard. 2002. MICS Medical Implant Communication Services, FCC 47CFR95.601–95.673 Subpart E/I Rules for MedRadio Services
- [2] Lee, H. M., Park, H., Ghovanloo, M. A. 2013. Power-Efficient Wireless System With Adaptive Supply Control for Deep Brain Stimulation IEEE Journal of Solid-State Circuits, 48, 2203-2216
- [3] Yan, H., Wu, D., Liu, Y., Wang, D., Hou, C. 2010. A low-power CMOS ASK clock and data recovery circuit for cochlear implants. 10th IEEE International Conference on Solid-State and Integrated Circuit Technology, 758-760
- [4] Guo, C., Zhang, H., Ma, Z., Zhang, J., Lin, J., Zhang, R. 2015. An inductive wireless telemetry circuit with OOK modulation for implantable cardiac pacemakers. IEEE 11th International Conference on ASIC (ASICON), 1-4
- [5] Lee, A., Wang, R., Farajidavar, A. 2016. A wireless system for gastric slow wave acquisition and gastric electrical stimulation. IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), 49-51
- [6] Hei, X., Du, X., Lin, S., Lee, I., Sokolsky, O. 2015. Patient Infusion Pattern based Access Control Schemes for Wireless Insulin Pump System. IEEE Transactions on Parallel and Distributed Systems, 26, 3108-3121
- [7] Pournaghshband, V., Sarrafzadeh, M., Reiher, P. Godara, B., Nikita, K. (Eds.). 2013. Securing Legacy Mobile Medical Devices Wireless Mobile Communication and Healthcare, Springer Berlin Heidelberg, 61, 163-172
- [8] Gollakota, S., Hassanieh, H., Ransford, B.; Katabi, D., Fu, K. 2011. They Can Hear Your Heartbeats: Noninvasive Security for Implantable Medical Devices SIGCOMM Comput. Commun. Rev., ACM, 41, 2-13
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
-
Yazarlar
Yayımlanma Tarihi
13 Ağustos 2017
Gönderilme Tarihi
6 Ocak 2017
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2017 Cilt: 21 Sayı: 3