Personal health and many aspects of a disease condition can be monitored pervasively in real-time by using low-cost sensors and low-power wireless systems, enabling individuals to be aware of impending health risks. This pervasive health monitoring capability can potentially provide an invaluable opportunity with the focus on early detection of medical condition, followed by individually optimized treatment recommendations that may forestall or prevent serious disease. While progress in this area is underway in sensor technology, mobile computing platforms, and data transport, barriers to large scale application remain ahead. These barriers arise due to the need for a large number of sensors to effectively diagnose patient disease conditions, which generally require data fusion from a diverse set of sensors and instruments that are applied at proper times according to environment, patient behavior, and inferred patient condition. Since the required sensors may be numerous, and may not be worn comfortably and practicably at all times, a solution is required for the systematic selection of sensors at the point of use.The processing unit also has profound impact on user convenience, system power, security, and expandability. The low-power requirement of the system, constrained by the capacity of its energy source - the battery - initially led to aanbsp;...
|Title||:||MEDIC: An End-to-end Biomedical System Based on Active Sensor Fusion|
|Author||:||Winston Han Wu|
|Publisher||:||ProQuest - 2008|