Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | S795-S798 |
| Fachzeitschrift | Biomedizinische Technik |
| Jahrgang | 59 |
| Frühes Online-Datum | 27 Sept. 2014 |
| Publikationsstatus | Veröffentlicht - 1 Okt. 2014 |
| Extern publiziert | Ja |
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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Biomedizintechnik
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in: Biomedizinische Technik, Jahrgang 59, 01.10.2014, S. S795-S798.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Online gait phase detection with automatic adaption to gait velocity changes using accelerometers and gyroscopes
AU - Seel, Thomas
AU - Landgraf, Lucian
AU - Escobar, Víctor Cermeño
AU - Schauer, Thomas
N1 - Acknowledgements This work has been supported be the DFG CRC796 ’Reprogramming of host cells by microbial effectors’, sub- projects A4.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84908203062&partnerID=8YFLogxK
U2 - 10.1515/bmt-2014-5011
DO - 10.1515/bmt-2014-5011
M3 - Article
AN - SCOPUS:84908203062
VL - 59
SP - S795-S798
JO - Biomedizinische Technik
JF - Biomedizinische Technik
SN - 0013-5585
ER -