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Portable, Non-Invasive Fall Risk Assessment in End Stage Renal Disease Patients on Hemodialysis.
ACM Transactions on Computer-Human Interaction ( IF 4.8 ) Pub Date : 2010-01-01 , DOI: 10.1145/1921081.1921092
Thurmon E Lockhart 1 , Adam T Barth , Xiaoyue Zhang , Rahul Songra , Emaad Abdel-Rahman , John Lach
Affiliation  

Patients with end stage renal diseases (ESRD) on hemodialysis (HD) have high morbidity and mortality due to multiple causes, one of which is dramatically higher fall rates than the general population. The mobility mechanisms that contribute to falls in this population must be understood if adequate interventions for fall prevention are to be achieved. This study utilizes emerging non-invasive, portable gait, posture, strength, and stability assessment technologies to extract various mobility parameters that research has shown to be predictive of fall risk in the general population. As part of an ongoing human subjects study, mobility measures such as postural and locomotion profiles were obtained from five (5) ESRD patients undergoing HD treatments. To assess the effects of post-HD-fatigue on fall risk, both the pre- and post-HD measurements were obtained. Additionally, the effects of inter-HD periods (two days vs. three days) were investigated using the non-invasive, wireless, body-worn motion capture technology and novel signal processing algorithms. The results indicated that HD treatment influenced strength and mobility (i.e., weaker and slower after the dialysis, increasing the susceptibility to falls while returning home) and inter-dialysis period influenced pre-HD profiles (increasing the susceptibility to falls before they come in for a HD treatment). Methodology for early detection of increased fall risk - before a fall event occurs - using the portable mobility assessment technology for out-patient monitoring is further explored, including targeting interventions to identified individuals for fall prevention.

中文翻译:


对接受血液透析的终末期肾病患者进行便携式、非侵入性跌倒风险评估。



接受血液透析 (HD) 的终末期肾病 (ESRD) 患者由于多种原因而具有较高的发病率和死亡率,其中之一是跌倒率明显高于一般人群。如果要采取充分的预防跌倒的干预措施,就必须了解导致该人群跌倒的流动机制。这项研究利用新兴的非侵入式便携式步态、姿势、力量和稳定性评估技术来提取各种移动参数,研究表明这些参数可以预测一般人群的跌倒风险。作为正在进行的人类受试者研究的一部分,从五 (5) 名接受 HD 治疗的 ESRD 患者中获得了姿势和运动曲线等活动测量数据。为了评估 HD 后疲劳对跌倒风险的影响,获得了 HD 前和 HD 后的测量值。此外,还使用非侵入性、无线、穿戴式动作捕捉技术和新颖的信号处理算法研究了 HD 间期(两天与三天)的影响。结果表明,HD 治疗影响力量和活动能力(即透析后变弱且缓慢,增加回家时跌倒的可能性),并且透析间期影响 HD 前的情况(增加在接受透析之前跌倒的可能性)。 HD 治疗)。进一步探讨了在跌倒事件发生之前,使用便携式移动评估技术进行门诊监测的早期检测跌倒风险增加的方法,包括针对已确定的个人进行预防跌倒的干预措施。
更新日期:2019-11-01
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