Title :
Wireless Sensor Networks for Monitoring Physiological Signals of Multiple Patients
Author :
Dilmaghani, R.S. ; Bobarshad, H. ; Ghavami, Morteza ; Choobkar, S. ; Wolfe, C.
Author_Institution :
Dept. of Electron. Eng., King´s Coll. London, London, UK
Abstract :
This paper presents the design of a novel wireless sensor network structure to monitor patients with chronic diseases in their own homes through a remote monitoring system of physiological signals. Currently, most of the monitoring systems send patients´ data to a hospital with the aid of personal computers (PC) located in the patients´ home. Here, we present a new design which eliminates the need for a PC. The proposed remote monitoring system is a wireless sensor network with the nodes of the network installed in the patients´ homes. These nodes are then connected to a central node located at a hospital through an Internet connection. The nodes of the proposed wireless sensor network are created by using a combination of ECG sensors, MSP430 microcontrollers, a CC2500 low-power wireless radio, and a network protocol called the SimpliciTI protocol. ECG signals are first sampled by a small portable device which each patient carries. The captured signals are then wirelessly transmitted to an access point located within the patients´ home. This connectivity is based on wireless data transmission at 2.4-GHz frequency. The access point is also a small box attached to the Internet through a home asynchronous digital subscriber line router. Afterwards, the data are sent to the hospital via the Internet in real time for analysis and/or storage. The benefits of this remote monitoring are wide ranging: the patients can continue their normal lives, they do not need a PC all of the time, their risk of infection is reduced, costs significantly decrease for the hospital, and clinicians can check data in a short time.
Keywords :
Internet; biomedical communication; data analysis; diseases; electrocardiography; hospitals; medical signal processing; microcomputers; microcontrollers; patient monitoring; physiology; signal sampling; wireless sensor networks; CC2500 low-power wireless radio; ECG sensors; ECG signals; Internet connection; MSP430 microcontrollers; PC; SimpliciTI protocol; access point; chronic diseases; clinicians; frequency 2.4 GHz; home asynchronous digital subscriber line router; hospital costs; infection risk; multiple patient monitoring; network protocol; patient data; personal computers; physiological signals; portable device; remote monitoring system; signal sampling; wireless data transmission; wireless sensor network structure; Electrocardiography; Hospitals; Monitoring; Protocols; Radio frequency; Wireless communication; Wireless sensor networks; Electrocardiogram (ECG) signals; wireless monitoring;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2011.2114661