Wireless sensor networks for healthcare: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fall-detection simulator for accelerometers with in-hardware preprocessing
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
iPrevention: towards a novel real-time smartphone-based fall prevention system
Proceedings of the 28th Annual ACM Symposium on Applied Computing
CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living
Future Generation Computer Systems
A multi-sensor approach for fall risk prediction and prevention in elderly
ACM SIGAPP Applied Computing Review
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Abstract—Falls are one of the most common adverse events in hospitals and fall management remains a major challenge in the medical care quality. Falls in patients are associated with major health complications that can result in health decline and increased medical care cost. To deliver medical care in time, reliable location-aware fall detection is needed. In this paper, we propose a patient alert alarm for fall management. It is ZigBee-Based location awareness fall detection system that provides immediate position information to the caregivers as soon as the fall happened. Obviously, the integration of location awareness and fall detection technologies fulfills the requirements of delivering critical information to relative professions and improve the medical care quality.