Online gait phase detection with automatic adaption to gait velocity changes using accelerometers and gyroscopes
- verfasst von
- Thomas Seel, Lucian Landgraf, Víctor Cermeño Escobar, Thomas Schauer
- Abstract
We consider real-time detection of gait events from inertial measurement data. Unlike previous approaches, we avoid the use of magnetometers and do not restrict the mounting of the sensor to certain locations or orientations. The proposed algorithm detects the toe-off and initial contact as well as the beginning and end of rest periods. We discuss suitable signals and criteria for the detection of these events and add algorithms for automatic adaption to changes in gait velocity. Gait experiments with healthy subjects and stroke patients are performed to evaluate reliability and robustness. The method is found to be suitable for a large variety of terrains and walking speeds.
- Externe Organisation(en)
-
Technische Universität Berlin
- Typ
- Artikel
- Journal
- Biomedizinische Technik
- Band
- 59
- Seiten
- S795-S798
- ISSN
- 0013-5585
- Publikationsdatum
- 01.10.2014
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Biomedizintechnik
- Elektronische Version(en)
-
https://doi.org/10.1515/bmt-2014-5011 (Zugang:
Offen)