Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Daniel Laidig
  • Andreas J. Jocham
  • Bernhard Guggenberger
  • Klemens Adamer
  • Martin Fischer
  • Thomas Seel

Externe Organisationen

  • Technische Universität Berlin
  • FH JOANNEUM University of Applied Sciences
  • Rehazentrum Kitzbühel
  • Ludwig Boltzmann Institute for Rehabilitation Research
  • Medizinische Hochschule Hannover (MHH)
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
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Details

OriginalspracheEnglisch
Aufsatznummer736418
FachzeitschriftFrontiers in digital health
Jahrgang3
PublikationsstatusVeröffentlicht - 4 Nov. 2021
Extern publiziertJa

Abstract

Walking is a central activity of daily life, and there is an increasing demand for objective measurement-based gait assessment. In contrast to stationary systems, wearable inertial measurement units (IMUs) have the potential to enable non-restrictive and accurate gait assessment in daily life. We propose a set of algorithms that uses the measurements of two foot-worn IMUs to determine major spatiotemporal gait parameters that are essential for clinical gait assessment: durations of five gait phases for each side as well as stride length, walking speed, and cadence. Compared to many existing methods, the proposed algorithms neither require magnetometers nor a precise mounting of the sensor or dedicated calibration movements. They are therefore suitable for unsupervised use by non-experts in indoor as well as outdoor environments. While previously proposed methods are rarely validated in pathological gait, we evaluate the accuracy of the proposed algorithms on a very broad dataset consisting of 215 trials and three different subject groups walking on a treadmill: healthy subjects (n = 39), walking at three different speeds, as well as orthopedic (n = 62) and neurological (n = 36) patients, walking at a self-selected speed. The results show a very strong correlation of all gait parameters (Pearson's r between 0.83 and 0.99, p < 0.01) between the IMU system and the reference system. The mean absolute difference (MAD) is 1.4 % for the gait phase durations, 1.7 cm for the stride length, 0.04 km/h for the walking speed, and 0.7 steps/min for the cadence. We show that the proposed methods achieve high accuracy not only for a large range of walking speeds but also in pathological gait as it occurs in orthopedic and neurological diseases. In contrast to all previous research, we present calibration-free methods for the estimation of gait phases and spatiotemporal parameters and validate them in a large number of patients with different pathologies. The proposed methods lay the foundation for ubiquitous unsupervised gait assessment in daily-life environments.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. / Laidig, Daniel; Jocham, Andreas J.; Guggenberger, Bernhard et al.
in: Frontiers in digital health, Jahrgang 3, 736418, 04.11.2021.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Laidig, D, Jocham, AJ, Guggenberger, B, Adamer, K, Fischer, M & Seel, T 2021, 'Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors', Frontiers in digital health, Jg. 3, 736418. https://doi.org/10.3389/fdgth.2021.736418
Laidig, D., Jocham, A. J., Guggenberger, B., Adamer, K., Fischer, M., & Seel, T. (2021). Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. Frontiers in digital health, 3, Artikel 736418. https://doi.org/10.3389/fdgth.2021.736418
Laidig D, Jocham AJ, Guggenberger B, Adamer K, Fischer M, Seel T. Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. Frontiers in digital health. 2021 Nov 4;3:736418. doi: 10.3389/fdgth.2021.736418
Laidig, Daniel ; Jocham, Andreas J. ; Guggenberger, Bernhard et al. / Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. in: Frontiers in digital health. 2021 ; Jahrgang 3.
Download
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AU - Laidig, Daniel

AU - Jocham, Andreas J.

AU - Guggenberger, Bernhard

AU - Adamer, Klemens

AU - Fischer, Martin

AU - Seel, Thomas

N1 - Publisher Copyright: © Copyright © 2021 Laidig, Jocham, Guggenberger, Adamer, Fischer and Seel.

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