We introduce and propose a new architecture tested solely for a prompt sensing and anytime-connected wireless body area network for the transmission of important physiological signals over cellular networks. Our work considers four important physiological signals related to cardiac diagnostics for transmission and energy based evaluations in such a network. These signals are Arterial Pressure (ART), Central Venous Pressure (CVP), Electrocardiogram lead II (ECG/EKG) and Pulmonary Artery Pressure (PAP). These signals are vital for the diagnosis and monitoring of patients with Cardio-Vascular Diseases (CVDs), which are a major cause of death today. The physiological data in the above mentioned parameters is sensed from the subject’s body and is transmitted over a Wireless Body Area Sensor Network to a WBAN coordinator acting as a sink (CSS). The CSS compresses the data received from the body sensor nodes, processes it and sends it through GSM communication for transmission over the existing cellular network to a remote base station or a repository. The GSM receiving unit at the other end receives the data and directs it to a dedicated remote server for demodulation. The missing samples in the signals containing original physiological data are then reconstructed. We have discussed the methods used for the compression of data in this scheme. We have also tried to evaluate the means for efficient transmission of data while keeping the allowable range of error in the physiological content such as to assure that the original signal characteristics are maintained. We envision and propose to have a dedicated channel in upcoming generations of mobile communication technology for the transmission of vital physiological data. If implemented, this would have the potential of making 24x7 health-monitoring a reality in in forthcoming years. More bandwidth for everybody is that anticipated for services like data on demand makes our proposal a tangible possibility. In addition, we have tried to evaluate the network lifetime by focusing on the power consumption in WBAN sensor nodes. Our evaluation is based on the battery models involving common and newly developed high capacity batteries for powering up the sensor nodes. Our methodology would facilitate online, round-the-clock health monitoring for the subscribers of a cellular communication system by working in partnership with the underlying body sensor networks consuming very little power.
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Details
Title
Continuous health condition monitoring by 24x7 sensing and transmission of physiological data using 5G cellular channels
Publication Details
2015 International Conference on Computing, Networking and Communications (ICNC), pp.584-590
Resource Type
Conference proceeding
Conference
International Conference on Computing, Networking and Communications (ICNC) (Garden Grove, CA, 2015)
Publisher
IEEE / Institute of Electrical and Electronics Engineers Incorporated; United States