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Article

Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait

1
Salzburg Research Forschungsgesellschaft mbH, Jakob-Haringer-Straße 5/3, 5020 Salzburg, Austria
2
Saphenus Medical Technology GmbH, Magnesitstraße 1, 3500 Krems, Austria
3
Ludwig Boltzmann Institut für Experimentelle und Klinische Traumatologie, Donaueschingenstraße 13, 1200 Wien, Austria
*
Author to whom correspondence should be addressed.
Academic Editors: Michael Vassallo, Hongnian Yu, Yanhong Liu and Arif Reza Anwary
Sensors 2022, 22(9), 3132; https://doi.org/10.3390/s22093132
Received: 28 February 2022 / Revised: 7 April 2022 / Accepted: 12 April 2022 / Published: 20 April 2022
(This article belongs to the Special Issue Wearable Sensors for Gait and Falls Monitoring)
Inpatient gait analysis is an essential part of rehabilitation for foot amputees and includes the ground contact time (GCT) difference of both legs as an essential component. Doctors communicate improvement advice to patients regarding their gait pattern based on a few steps taken at the doctor’s visit. A wearable sensor system, called Suralis, consisting of an inertial measurement unit (IMU) and a pressure measuring sock, including algorithms calculating GCT, is presented. Two data acquisitions were conducted to implement and validate initial contact (IC) and toe-off (TO) event detection algorithms as the basis for the GCT difference determination for able-bodied and prosthesis wearers. The results of the algorithms show a median GCT error of −51.7 ms (IMU) and 14.7 ms (sensor sock) compared to the ground truth and thus represent a suitable possibility for wearable gait analysis. The wearable system presented, therefore, enables a continuous feedback system for patients and, above all, a remote diagnosis of spatio-temporal aspects of gait behaviour based on reliable data collected in everyday life. View Full-Text
Keywords: algorithm design and analysis; gait recognition; medical diagnosis; motion estimation; wearable sensors algorithm design and analysis; gait recognition; medical diagnosis; motion estimation; wearable sensors
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MDPI and ACS Style

Bernhart, S.; Kranzinger, S.; Berger, A.; Peternell, G. Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait. Sensors 2022, 22, 3132. https://doi.org/10.3390/s22093132

AMA Style

Bernhart S, Kranzinger S, Berger A, Peternell G. Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait. Sensors. 2022; 22(9):3132. https://doi.org/10.3390/s22093132

Chicago/Turabian Style

Bernhart, Severin, Stefan Kranzinger, Alexander Berger, and Gerfried Peternell. 2022. "Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait" Sensors 22, no. 9: 3132. https://doi.org/10.3390/s22093132

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