title: Implementation of an iPhone as a wireless accelerometer for quantifying gait characteristics.
abstract: 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.
authors.affiliation: Biomedical Engineering IDP, UCLA, Los Angeles, CA 90095-1600, USA. rlemoyne@ucla.edu
authors.forename: Robert
authors.initials: R
authors.lastname: Lemoyne
authors.forename: Timothy
authors.initials: T
authors.lastname: Mastroianni
authors.forename: Michael
authors.initials: M
authors.lastname: Cozza
authors.forename: Cristian
authors.initials: C
authors.lastname: Coroian
authors.forename: Warren
authors.initials: W
authors.lastname: Grundfest
mesh_terms: D000054:Acceleration; D040421:Cell Phone; D005684:Gait; D006801:Humans