Hiremath Shivayogi V, Ding Dan
University of Pittsburgh, Pittsburgh, PA 15260, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:835-8. doi: 10.1109/IEMBS.2009.5333626.
In an effort to make activity monitors usable by manual wheelchair users with Spinal Cord Injury (SCI), our study examines the validity of SenseWear Armband (SenseWear) and RT3 in assessing energy expenditure (EE) during wheelchair related activities. This paper presents the data obtained from six subjects (n=6) with SCI performing three activities, including wheelchair propulsion, armergometer exercise and deskwork. The analysis presented here compares the EE estimated from the SenseWear and the RT3 with respect to the EE measured from a portable metabolic cart. It was found that the SenseWear overestimated EE for resting (+5.78%), wheelchair propulsion (+88.20%, +46.20%, and +138.21% for the three trials at different intensities, respectively), arm-ergometer exercise (+55.05%, +26.91%, and +39.17% for the three trials at different intensities, respectively) and deskwork (+13.11%). The results also indicate that RT3 underestimated EE for resting (-3.06%), wheelchair propulsion (-24.23%, -19.42%, and -9.98% for the three trials at different intensities, respectively), arm-ergometer exercise (-49.06%, -53.69% and -52.08 for the three trials at different intensities, respectively) and measured EE relatively accurate for deskwork. Good and moderate Intraclass correlations were found between EE measured by metabolic cart and EE estimated by SenseWear (0.787, p<0.0001) and RT3 (0.705, p<0.0001). Weka, machine learning software, was used to select attributes and model EE equations for the SenseWear and the RT3. Excellent and good Intraclass correlations were found between the EE measured by the metabolic cart and the estimated EE based on the models for SenseWear (0.944, p<0.0001) and RT3 (0.821, p<0.0001). Future work will test more subjects to refine the model and provide manual wheelchair users with a valid too- l to gauge their daily physical activity and EE.
为了使活动监测器能够供脊髓损伤（SCI）的手动轮椅使用者使用，我们的研究考察了SenseWear臂带（SenseWear）和RT3在评估轮椅相关活动期间能量消耗（EE）方面的有效性。本文展示了从6名患有SCI的受试者（n = 6）进行三项活动中获得的数据，这三项活动包括轮椅推进、臂力计运动和伏案工作。此处呈现的分析比较了SenseWear和RT3估计的EE与便携式代谢推车测量的EE。结果发现，SenseWear高估了静息状态下的EE（+5.78%）、轮椅推进时的EE（不同强度的三次试验分别高估+88.20%、+46.20%和+138.21%）、臂力计运动时的EE（不同强度的三次试验分别高估+55.05%、+26.91%和+39.17%）以及伏案工作时的EE（+13.11%）。结果还表明，RT3低估了静息状态下的EE（-3.06%）、轮椅推进时的EE（不同强度的三次试验分别低估-24.23%、-19.42%和-9.98%）、臂力计运动时的EE（不同强度的三次试验分别低估-49.06%、-53.69%和-52.08%），并且对于伏案工作测量的EE相对准确。在代谢推车测量的EE与SenseWear估计的EE（0.787，p<0.0001）和RT3估计的EE（0.705，p<0.0001）之间发现了良好和中等的组内相关性。使用机器学习软件Weka为SenseWear和RT3选择属性并建立EE方程模型。在代谢推车测量的EE与基于SenseWear模型（0.944，p<0.0001）和RT3模型（0.821，p<0.0001）估计的EE之间发现了优秀和良好的组内相关性。未来的工作将测试更多受试者以完善模型，并为手动轮椅使用者提供一个有效的工具来衡量他们的日常身体活动和EE。
