Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics

被引:49
作者
LeMoyne, Robert [1 ]
Mastroianni, Timothy [2 ]
Cozza, Michael [3 ]
Coroian, Cristian [4 ]
Grundfest, Warren [1 ]
机构
[1] Univ Calif Los Angeles, Biomed Engn IDP, Los Angeles, CA 90095 USA
[2] Cognit Engn, Pittsburgh 15243, PA USA
[3] Converge Robot Corporat, Pittsburg 15202, KS USA
[4] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA 90095 USA
来源
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词
gait; locomotion; iPhone application; iPhone; wireless accelerometer; gait quantification; PHYSICAL-ACTIVITY; PROPRIOCEPTION; RELIABILITY; VALIDATION; MOTION;
D O I
10.1109/IEMBS.2010.5627699
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:3847 / 3851
页数:5
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