Cooperative Management of Enterprise Networks
Cooperative Management of Enterprise Networks
Key factors for personal health monitoring and diagnosis device
Mobile Computing in Medicine, Second Conference on Mobile Computing in Medicine, Workshop of the Project Group MoCoMed, GMDS-Fachbereich Medizinische Informatik & GI-Fachausschuss 4.7
A Mediation Framework for Web Services in a Distributed Healthcare Information System
IDEAS-DH '04 Proceedings of the IDEAS Workshop on Medical Information Systems: The Digital Hospital
Multi-Stage Real Time Health Monitoring via ZigBee in Smart Homes
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
AMulti-Agent Collabor ative Fr amework for Mobile E-Health
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Development of Ubiquitous Health Monitoring System
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
HARMONI: Context-aware Filtering of Sensor Data for Continuous Remote Health Monitoring
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
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We present the design and implementation of a Remote Patient Monitoring (RPM) system based on wireless technology using a cellular phone, to send an SMS (Short Message Service) to the medical staff. The proposed system combines two commonly used technologies namely, Global System for Mobile (GSM) and Global Positioning System (GPS). This indeed is an easy, practical, inexpensive and yet very effective way for transmitting vital information to the healthcare staff and healthcare providers. The system monitors patient's health status, such as SPO2 (oxygen percentage in blood), heart rate, and temperature. In case, the value for any of these parameters exceeds preset critical values, the position parameters, from the attached GPS module, are transmitted to pre-defined phone number in form of SMS using a GSM module. All the information obtained from the human body using a DSP (Digital Signal Processing) and an oximeter is then transmitted to the microcontroller system as digital values. The values obtained from DSP like SPO2, heart rate and temperature is also displayed on to the attached LCD in alphanumerical form. In the conclusion we consider how this system can be further improved in future, may be by adding new type of sensors as well as using new approaches for the security and triggering alarm.