Peter L. Reichertz Institute for Medical Informatics University of Braunschweig-Institute of Technology and Hannover Medical School, D-30625 Hanover, Germany.
Institute of Computer Engineering, Technical University of Braunschweig, D-38106 Braunschweig, Germany.
Sensors (Basel). 2019 Feb 27;19(5):1017. doi: 10.3390/s19051017.
In geriatric institutions, the risk of falling of patients is very high and frequently leads to fractures of the femoral neck, which can result in serious consequences and medical costs. With regard to the current numbers of elderly people, the need for smart solutions for the prevention of falls in clinical environments as well as in everyday life has been evolving.
Hence, in this paper, we present the Inexpensive Node for bed-exit Detection (INBED), a comprehensive, favourable signaling system for bed-exit detection and fall prevention, to support the clinical efforts in terms of fall reduction. The tough requirements for such a system in clinical environments were gathered in close cooperation with geriatricians.
The conceptional efforts led to a multi-component system with a core wearable device, attached to the patients, to detect several types of movements such as rising, restlessness and-in the worst case-falling. Occurring events are forwarded to the nursing staff immediately by using a modular, self-organizing and dependable wireless infrastructure. Both, the hardware and software of the entire INBED system as well as the particular design process are discussed in detail. Moreover, a trail test of the system is presented.
The INBED system can help to relieve the nursing staff significantly while the personal freedom of movement and the privacy of patients is increased compared to similar systems.
在老年护理机构中，患者跌倒的风险非常高，且经常导致股骨颈骨折，这可能会导致严重的后果和医疗费用。鉴于目前老年人的数量，对于预防临床环境和日常生活中跌倒的智能解决方案的需求不断增加。
因此，在本文中，我们提出了低成本的床边检测节点（INBED），这是一种全面、有利的床边检测和防跌倒信号系统，旨在支持临床减少跌倒的努力。该系统在临床环境中的严格要求是与老年病医生密切合作收集的。
概念性工作导致了一个多组件系统，其中包括一个可穿戴设备，附着在患者身上，以检测多种类型的运动，如起床、不安，以及在最坏的情况下跌倒。发生的事件通过使用模块化、自组织和可靠的无线基础设施立即转发给护理人员。整个 INBED 系统的硬件和软件以及特定的设计过程都进行了详细的讨论。此外，还介绍了系统的试用测试。
与类似系统相比，INBED 系统可以帮助护理人员显著减轻负担，同时提高患者的行动自由度和隐私。
