Marston Hannah R, Woodbury Ashley, Gschwind Yves J, Kroll Michael, Fink Denis, Eichberg Sabine, Kreiner Karl, Ejupi Andreas, Annegarn Janneke, de Rosario Helios, Wienholtz Arno, Wieching Rainer, Delbaere Kim
Institute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933 Germany.
Neuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031 Australia.
Eur Rev Aging Phys Act. 2015 Dec 8;12:13. doi: 10.1186/s11556-015-0157-4. eCollection 2015.
Falls in older people represent a major age-related health challenge facing our society. Novel methods for delivery of falls prevention programs are required to increase effectiveness and adherence to these programs while containing costs. The primary aim of the Information and Communications Technology-based System to Predict and Prevent Falls (iStoppFalls) project was to develop innovative home-based technologies for continuous monitoring and exercise-based prevention of falls in community-dwelling older people. The aim of this paper is to describe the components of the iStoppFalls system.
The system comprised of 1) a TV, 2) a PC, 3) the Microsoft Kinect, 4) a wearable sensor and 5) an assessment and training software as the main components.
The iStoppFalls system implements existing technologies to deliver a tailored home-based exercise and education program aimed at reducing fall risk in older people. A risk assessment tool was designed to identify fall risk factors. The content and progression rules of the iStoppFalls exergames were developed from evidence-based fall prevention interventions targeting muscle strength and balance in older people.
The iStoppFalls fall prevention program, used in conjunction with the multifactorial fall risk assessment tool, aims to provide a comprehensive and individualised, yet novel fall risk assessment and prevention program that is feasible for widespread use to prevent falls and fall-related injuries. This work provides a new approach to engage older people in home-based exercise programs to complement or provide a potentially motivational alternative to traditional exercise to reduce the risk of falling.
老年人跌倒代表着我们社会面临的一项重大的与年龄相关的健康挑战。需要采用新的方法来实施跌倒预防计划,以提高这些计划的有效性和依从性,同时控制成本。基于信息和通信技术的跌倒预测与预防系统(iStoppFalls)项目的主要目标是开发创新的家庭技术,用于持续监测以及基于运动的社区居住老年人跌倒预防。本文旨在描述iStoppFalls系统的组成部分。
该系统由1)一台电视、2)一台个人电脑、3)微软Kinect、4)一个可穿戴传感器以及5)一个评估与训练软件作为主要组件构成。
iStoppFalls系统运用现有技术来提供一个量身定制的家庭锻炼和教育计划,旨在降低老年人的跌倒风险。设计了一种风险评估工具来识别跌倒风险因素。iStoppFalls运动游戏的内容和进展规则是根据针对老年人肌肉力量和平衡的循证跌倒预防干预措施制定的。
iStoppFalls跌倒预防计划与多因素跌倒风险评估工具结合使用,旨在提供一个全面、个性化且新颖的跌倒风险评估与预防计划,该计划广泛应用于预防跌倒及跌倒相关伤害是可行的。这项工作提供了一种新方法,让老年人参与家庭锻炼计划,以补充传统锻炼或提供一种可能更具激励性的替代方式,从而降低跌倒风险。