Patel Shyamal, Lorincz Konrad, Hughes Richard, Huggins Nancy, Growdon John H, Welsh Matt, Bonato Paolo
Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA 02114, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6291-4. doi: 10.1109/IEMBS.2007.4353793.
We present work to develop a wireless wearable sensor system for monitoring patients with Parkinson's disease (PD) in their homes. For monitoring outside the laboratory, a wearable system must not only record data, but also efficiently process data on-board. This manuscript details the analysis of data collected using tethered wearable sensors. Optimal window length for feature extraction and feature ranking were calculated, based on their ability to capture motor fluctuations in persons with PD. Results from this study will be employed to develop a software platform for the wireless system, to efficiently process on-board data.
我们展示了为在家中监测帕金森病（PD）患者而开发的无线可穿戴传感器系统的相关工作。对于实验室外的监测，可穿戴系统不仅要记录数据，还必须在板载设备上高效地处理数据。本手稿详细介绍了对使用有线可穿戴传感器收集的数据进行的分析。基于其捕捉PD患者运动波动的能力，计算了特征提取和特征排序的最佳窗口长度。本研究的结果将用于开发无线系统的软件平台，以便在板载设备上高效地处理数据。
