Lemoyne Robert, Mastroianni Timothy, Cozza Michael, Coroian Cristian, Grundfest Warren
Biomedical Engineering IDP, UCLA, Los Angeles, CA 90095-1600, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3847-51. doi: 10.1109/IEMBS.2010.5627699.
The capacity to quantify and evaluate gait beyond the general confines of a clinical environment under effectively autonomous conditions may alleviate rampant strain on limited and highly specialized medical resources. An iPhone consists of a three dimensional accelerometer subsystem with highly robust and scalable software applications. With the synthesis of the integral iPhone features, an iPhone application, which constitutes a wireless accelerometer system for gait quantification and analysis, has been tested and evaluated in an autonomous environment. The acquired gait cycle data was transmitted wireless and through email for subsequent post-processing in a location remote to the location where the experiment was conducted. The iPhone application functioning as a wireless accelerometer for the acquisition of gait characteristics has demonstrated sufficient accuracy and consistency.
在有效自主的条件下，超越临床环境的一般限制对步态进行量化和评估的能力，可能会缓解有限且高度专业化医疗资源的巨大压力。iPhone包含一个三维加速度计子系统以及高度强大且可扩展的软件应用程序。通过整合iPhone的整体功能，一款构成用于步态量化和分析的无线加速度计系统的iPhone应用程序，已在自主环境中进行了测试和评估。采集到的步态周期数据通过无线方式并通过电子邮件传输，以便在远离实验进行地点的地方进行后续的后处理。作为用于采集步态特征的无线加速度计的iPhone应用程序已证明具有足够的准确性和一致性。
