Technological advancements in the field of biosensors and wireless technologies has made possible the development of new applications in the area of health informatics and medical care giving. The idea of Biomedical Sensor Network (BSN) is derived from a thought of mixing of these technologies for assessment of physiological parameters and offering the medical assistance to the person in need. A BSN consists of 5 to 10 invasive or noninvasive sensor nodes acquiring physiological signals from the subject body and transmitting it to the network coordinator through wireless channel. All the sensor nodes in the network share the same medium with different traffic characteristics and different Quality of Service (QoS) requirements. BSN is a new class of wireless networks which offers opportunities to new services for monitoring health, fitness and wellness of individuals. It offer prompt feedback for efficient and reliable patient monitoring, disease management and promotes self care. Special design characteristics of sensor and their human centric application make such networks different from conventional wireless networks. These characteristics pose different challenges for system architecture and protocol design. Monitoring physiological activity has become increasingly important to prevent institutionalization of chronic diseases management. This prototype system can help in monitoring and managing cardiovascular diseases in cost effective manner. The demographic ageing, modern life style, unhealthy diet, use of tobacco, physical inactivity, mental stress, socio-economic and cultural changes are major underlying determinants for cardiovascular diseases. The cardiovascular disease management contributes to 45 percent of total medical care cost in India. More than 20 million people are at potential risk for cardiac diseases. The early detection of cardiovascular risk factors can help in saving a valuable life reflecting its socio-economic impact in many ways.
In Our system describes a prototype model for cardiovascular activity and fitness monitoring system based on IEEE 11073 family of standard for medical device communication. It identifies basic requirements for developing a biomedical sensor network having resource limited sensor nodes to acquire, retrieve and communicate various physiological parameters while using short range wireless technologies. IEEE 11073-10441 defines the set of protocols for tele-health environment at application layer and rest of the communication infrastructure is covered by the medical grade ZigBee network. In healthcare, space ZigBee provides an industry-wide standard for exchanging data between a variety of medical and non-medical devices and ZigBee enabled medical devices are fully compatible with ISO/IEEE 11073 for point-of-care medical device communication. The proposed prototype model addresses design and development issues required to report any severe cardiovascular malfunctioning without compromising mobility and convenience of the patient.
Clever Mind Academy 