title: Variability Analysis of Therapeutic Movements using Wearable Inertial Sensors.
abstract: A variability analysis of upper limb therapeutic movements using wearable inertial sensors is presented. Five healthy young adults were asked to perform a set of movements using two sensors placed on the upper arm and forearm. Reference data were obtained from three therapists. The goal of the study is to determine an intra and inter-group difference between a number of given movements performed by young people with respect to the movements of therapists. This effort is directed toward studying other groups characterized by motion impairments, and it is relevant to obtain a quantified measure of the quality of movement of a patient to follow his/her recovery. The sensor signals were processed by applying two approaches, time-domain features and similarity distance between each pair of signals. The data analysis was divided into classification and variability using features and distances calculated previously. The classification analysis was made to determine if the movements performed by the test subjects of both groups are distinguishable among them. The variability analysis was conducted to measure the similarity of the movements. According to the results, the flexion/extension movement had a high intra-group variability. In addition, meaningful information were provided in terms of change of velocity and rotational motions for each individual.
authors.affiliation: Department of Computer Science, Instituto Nacional de Astrofísica, Óptica y Electrónica, 72840, Tonantzintla, Mexico. hussein@inaoep.mx.
authors.forename: Irvin Hussein
authors.initials: IH
authors.lastname: López-Nava
authors.affiliation: Department of Computer Engineering, Bogazici University, 34342, Istanbul, Turkey.
authors.forename: Bert
authors.initials: B
authors.lastname: Arnrich
authors.affiliation: Department of Computer Science, Instituto Nacional de Astrofísica, Óptica y Electrónica, 72840, Tonantzintla, Mexico.
authors.forename: Angélica
authors.initials: A
authors.lastname: Muñoz-Meléndez
authors.affiliation: Department of Computer Engineering, Bogazici University, 34342, Istanbul, Turkey.
authors.forename: Arzu
authors.initials: A
authors.lastname: Güneysu
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement; D026741:Physical Therapy Modalities / Q000295:instrumentation*; D058998:Remote Sensing Technology / Q000295:instrumentation*; D034941:Upper Extremity
keywords: Acceleration signals; Inertial sensors; Quaternions; Therapeutic movements; Wearable sensors