Monitoring of Physiological Parameters from Multiple Patients Using Wireless Sensor Network. Yuce, M., Ng, P., & Khan, J. Journal of Medical Systems, 32(5):433-441, Springer, 10, 2008.
Monitoring of Physiological Parameters from Multiple Patients Using Wireless Sensor Network [link]Website  abstract   bibtex   
Abstract This paper presents a wireless sensor network system that has the capability to monitor physiological parameters from multiple patient bodies. The system uses the Medical Implant Communication Service band between the sensor nodes and a remote central control unit (CCU) that behaves as a base station. The CCU communicates with another network standard (the internet or a mobile network) for a long distance data transfer. The proposed system offers mobility to patients and flexibility to medical staff to obtain patient's physiological data on demand basis via Internet. A prototype sensor network including hardware, firmware and software designs has been implemented and tested. The developed system has been optimized for power consumption by having the nodes sleep when there is no communication via a bidirectional communication.
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 title = {Monitoring of Physiological Parameters from Multiple Patients Using Wireless Sensor Network},
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 year = {2008},
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 keywords = {healthcare,mhealth,sensors,wsn},
 pages = {433-441},
 volume = {32},
 websites = {http://dx.doi.org/10.1007/s10916-008-9149-5},
 month = {10},
 publisher = {Springer},
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 abstract = {Abstract This paper presents a wireless sensor network system that has the capability to monitor physiological parameters from multiple patient bodies. The system uses the Medical Implant Communication Service band between the sensor nodes and a remote central control unit (CCU) that behaves as a base station. The CCU communicates with another network standard (the internet or a mobile network) for a long distance data transfer. The proposed system offers mobility to patients and flexibility to medical staff to obtain patient's physiological data on demand basis via Internet. A prototype sensor network including hardware, firmware and software designs has been implemented and tested. The developed system has been optimized for power consumption by having the nodes sleep when there is no communication via a bidirectional communication.},
 bibtype = {article},
 author = {Yuce, Mehmet and Ng, Peng and Khan, Jamil},
 journal = {Journal of Medical Systems},
 number = {5}
}

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