80 likes | 223 Views
Presented by: Aya Salah Metwally. Clinical monitoring using sensor network technology. The Main Idea. Problem Definition. Early detection of clinical deterioration in patients is very important. Timely clinical data has to be available.
E N D
Presented by: Aya Salah Metwally Clinical monitoring using sensor network technology
Problem Definition • Early detection of clinical deterioration in patients is very important. • Timely clinical data has to be available. • In ICUs, expensive wired electronic monitoring systems are used to produce this data. • But, data of patients in general wards are often collected manually at relatively long intervals. • Existing systems performs poorly under mobility
Proposed Solution • A system employing WSN based on IEEE 802.15.4 with three types of nodes: • Patient node: integrates embedded platform for computation, storage, radio, and sensors. Patient nodes are battery operated. • Relay nodes: used to route packets from patient nodes to the base station. • Base station: the endpoint of the data collection system.
The Main Achievements 1- Identifying the reason for the poor performance of data collection protocols under mobility. • The first hop; that is, the changing connectivity between the mobile node and the relay nodes. 2- Proposing a data collection mechanism called DRAPwhich allows a patient node to dynamically associate with a relay node as the user moves.
Dynamic Relay AssociationProtocol (DRAP) • Achieves reliable data collection. • Complements other routing protocols. • It focuses on reliable data delivery over the first hop, while other routing protocolsfocus on delivering data from the first relay to the base station. • Associates a mobile node with the relay node that has the best link quality
The Challenges 1- In contrast to 802.11 radios, low-power 802.15.4 radios are unreliable due to dynamic channel conditions as well as susceptible to interference. 2- Unlike patients in ICUs, patients in the general hospital wards may be ambulatory which may lead to significant packet losses.
Results • DRAP delivers at least 96% of the sensor readings to the base station. • It has a radio duty-cycle of 2.2%, thus conserving power • The proposed system may monitor up to 4100 patients when the pulse and oxygenation are sampled every 30 seconds.