A survey and analysis of Electronic Healthcare Record standards
ACM Computing Surveys (CSUR)
Emergency Detection System Using PDA Based on Self-Response Algorithm
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
Design and implementation of a distributed fall detection system: personal server
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
IEEE Transactions on Information Technology in Biomedicine
Design and implementation of a distributed fall detection system: personal server
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
An overview of body sensor networks in enabling pervasive healthcare and assistive environments
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
A survey on fall detection: Principles and approaches
Neurocomputing
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In this paper, the main results related to a fall detection system are shown by means of a personal server for the control and processing of the data acquired from multiple intelligent biomedical sensors. This server is designed in the context of a telehealthcare system for the elderly, to whom falls represent a high-risk cause of serious injuries, and its architecture can be extended to patients suffering from chronic diseases. The main design issues and developments in terms of the server hardware and software are presented with the aim of providing a real-time analysis of the processed biosignals. As a result, the evaluation study of the implemented algorithm for fall detection through a set of laboratory experiments is presented, together with some important issues in terms of the device's consumption. The proposed algorithm exhibits excellent outcomes in fall detection.