Name
Abstract | ||
|---|---|---|
Health monitoring and e-Inclusion significantly increase the quality of heal- thcare since they allow patients to live at home while nevertheless receiving treatment and care immediately, when needed. However, health monitoring and e-Inclusion also impose several challenges to the underlying information infrastructure. These challen- ges are stemming from data streams that are generated by smart sensors attached to the patients and to their augmented environment. Essentially, these streams need to be processed with near real-time constraints. In addition, also the mobility of users and patients has severe consequences on the information infrastructure. Disconnections and reconnections have to be handled transparently to the user/patient and data stream processing has to be dynamically adapted to the actual processing resources. Health Monitoring Health monitoring aims at dynamically gathering, managing, processing, and storing phy- siological data usually provided by smart sensors. Most importantly, it allows to monitor the health status of patients in an online fashion. By dynamically processing sensor data, physicians and care personnel are able to immediately react to critical, pathological chan- ges or even to anticipate such changes. Therefore, health monitoring is considered to signi- ficantly enhance the quality of patients' lives and to increase overall quality of care, even in out-of-hospital conditions. The latter is particularly important since chronic ailments such as cardiovascular diseases, hypertension, and diabetes affect a significant number of the western population (a survey of the American Heart Association states that cardiovascular diseases are the leading cause of death in many western countries (AHA01)). According to a recent prognosis for healthcare in the year 2013, the use of direct permanent monitoring |
Year | Venue | Keywords |
|---|---|---|
2003 | Mobilität und Informationssysteme | cause of death,near real time,information infrastructure |
Field | DocType | Citations |
Health care,Data stream processing,Data stream mining,Computer security,Computer network,Engineering,STREAMS,Information infrastructure | Conference | 1 |
PageRank | References | Authors |
0.35 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Heiko Schuldt | 1 | 803 | 106.01 |
| Gert Brettlecker | 2 | 60 | 7.57 |