Characterization of Physical Activity in COPD Patients: Validation of a Robust Algorithm for Actigraphic Measurements in Living Situations

Author

Perriot, Bruno ; Argod, Jerome ; Pepin, Jean-Louis ; Noury, Norbert

Author_Institution

SleepInnov Technol., Moirans, France

Volume

18

Issue

4

fYear

2014

fDate

Jul-14

Firstpage

1225

Lastpage

1231

Abstract

We have developed robust embedded algorithms for the real-time classification of activity detected by our wearable inertial device. We collected 224 h of accelerometric signals from 28 subjects [22 suffering from chronic obstructive pulmonary disease (COPD)] to develop and then evaluate our algorithms. We describe the process for determining the most robust parameters of the algorithms. Our results with COPD patients show the feasibility of conducting real-time classification of their activities in everyday situations, with high fidelity.

Keywords

biomedical equipment; diseases; medical disorders; medical signal processing; signal classification; COPD patients; accelerometric signals; actigraphic measurements; chronic obstructive pulmonary disease; conducting real-time classification; real-time classification; robust embedded algorithms; robust parameters; wearable inertial device; Acceleration; Biomedical monitoring; Bluetooth; Correlation; Legged locomotion; Monitoring; Sensors; Actimetry; Bluetooth; body postures; body sensor network; chronic obstructive pulmonary disease (COPD) patients;

fLanguage

English

Journal_Title

Biomedical and Health Informatics, IEEE Journal of

Publisher

ieee

ISSN

2168-2194

Type

jour

DOI

10.1109/JBHI.2013.2282617

Filename

6603285