School of Biomedical Engineering and Sciences, Virginia Tech Wake Forest University, Blacksburg, VA 24061, USA.
Ann Biomed Eng. 2013 Apr;41(4):795-805. doi: 10.1007/s10439-012-0701-6. Epub 2012 Dec 5.
Patients with end stage renal diseases (ESRD) undergoing hemodialysis (HD) have high morbidity and mortality due to multiple causes; one of which is dramatically higher fall rates than the general population. In spite of the multiple efforts aiming to decrease the high mortality and improve quality of life in ESRD patients, limited success has been achieved. If adequate interventions for fall prevention are to be achieved, the functional and mobility mechanisms consistent with falls in this population must be understood. Human movements such as sit-to-walk (STW) tasks are clinically significant, and analysis of these movements provides a meaningful evaluation of postural and locomotor performance in elderly patients with functional limitations indicative of fall risks. In order to assess the effects of HD therapy on fall risks, 22 sessions of both pre- and post-HD measurements were obtained in six ESRD patients utilizing customized inertial measurement units (IMU). IMU signals were denoised using ensemble empirical mode decomposition and Savistky-Golay filtering methods to detect relevant events for identification of STW phases. The results indicated that patients were slower to get out of the chair (as measured by trunk flexion angular accelerations, time to peak trunk flexion, and overall STW completion time) following the dialysis therapy session. STW is a frequent movement in activities of daily living, and HD therapy may influence the postural and locomotor control of these movements. The analysis of STW movement may assist in not only assessing a patient's physical status, but in identifying HD-related fall risk as well. This preliminary study presents a non-invasive method of kinematic measurement for early detection of increased fall risk in ESRD patients using portable inertial sensors for out-patient monitoring. This can be helpful in understanding the pathogenesis better, and improve awareness in health care providers in targeting interventions to identify individuals at risk for fall.
患有终末期肾病(ESRD)并接受血液透析(HD)的患者由于多种原因导致发病率和死亡率高;其中之一是跌倒率明显高于一般人群。尽管为降低高死亡率和改善 ESRD 患者的生活质量做出了多种努力,但收效甚微。如果要实现充分的跌倒预防干预,就必须了解该人群中与跌倒一致的功能和移动机制。坐站(STW)等人体运动任务具有重要的临床意义,对这些运动的分析为具有跌倒风险的功能受限的老年患者的姿势和运动表现提供了有意义的评估。为了评估 HD 治疗对跌倒风险的影响,对 6 名 ESRD 患者进行了 22 次 HD 前后测量,使用了定制的惯性测量单元(IMU)。使用集合经验模态分解和 Savistky-Golay 滤波方法对 IMU 信号进行去噪,以检测相关事件,从而识别 STW 阶段。结果表明,透析治疗后,患者从椅子上起身的速度较慢(通过躯干前屈角加速度、躯干前屈峰值时间和整体 STW 完成时间来衡量)。STW 是日常生活活动中的常见动作,HD 治疗可能会影响这些动作的姿势和运动控制。STW 运动的分析不仅可以帮助评估患者的身体状况,还可以识别与 HD 相关的跌倒风险。这项初步研究提出了一种使用便携式惯性传感器进行门诊监测的非侵入性运动测量方法,用于早期检测 ESRD 患者跌倒风险增加。这有助于更好地了解发病机制,并提高医疗保健提供者对识别有跌倒风险的个体的意识,从而有针对性地进行干预。