Literature DB >> 26737518

Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation.

Christoph M Kanzler, Jens Barth, Alexander Rampp, Heiko Schlarb, Franz Rott, Jochen Klucken, Bjoern M Eskofier.   

Abstract

Falls are a major cause for morbidity and mortality in the ageing society. Inertial sensor based gait assessment including the analysis of the heel and toe clearance can be an indicator for the risk of falling. This paper presents a method for calculating the continuous heel and toe clearance without the knowledge of the shoe dimensions as well as the foot angle in the sagittal plane. These gait parameters were validated using an optical motion capture system. 20 healthy subjects from 3 different age groups (young, mid age, old) performed gait trials with different stride lengths and stride velocities. We obtained low mean absolute errors, low standard deviations and high Pearson correlations (0.91-0.99) for all gait parameters. In summary, we implemented a viable algorithm for the calculation of the heel and toe clearance without knowing the shoe dimensions as well as the foot angle in sagittal plane. We conclude that the given method is applicable for a mobile and unobtrusive gait assessment for healthy subjects from all age classes.

Mesh:

Year:  2015        PMID: 26737518     DOI: 10.1109/EMBC.2015.7319618

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  11 in total

1.  High-Technology Based Gait Assessment in Frail People: Associations between Spatio-Temporal and Three-Dimensional Gait Characteristics with Frailty Status across Four Different Frailty Measures.

Authors:  M Ritt; S Schülein; H Lubrich; L C Bollheimer; C C Sieber; K-G Gaßmann
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

2.  Gait and Cognition in Parkinson's Disease: Cognitive Impairment Is Inadequately Reflected by Gait Performance during Dual Task.

Authors:  Heiko Gaßner; Franz Marxreiter; Simon Steib; Zacharias Kohl; Johannes C M Schlachetzki; Werner Adler; Bjoern M Eskofier; Klaus Pfeifer; Jürgen Winkler; Jochen Klucken
Journal:  Front Neurol       Date:  2017-10-26       Impact factor: 4.003

3.  Instrumented gait analysis: a measure of gait improvement by a wheeled walker in hospitalized geriatric patients.

Authors:  Samuel Schülein; Jens Barth; Alexander Rampp; Roland Rupprecht; Björn M Eskofier; Jürgen Winkler; Karl-Günter Gaßmann; Jochen Klucken
Journal:  J Neuroeng Rehabil       Date:  2017-02-27       Impact factor: 4.262

4.  Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.

Authors:  Julius Hannink; Malte Ollenschläger; Felix Kluge; Nils Roth; Jochen Klucken; Bjoern M Eskofier
Journal:  Sensors (Basel)       Date:  2017-08-23       Impact factor: 3.576

5.  The Diagnostic Scope of Sensor-Based Gait Analysis in Atypical Parkinsonism: Further Observations.

Authors:  Heiko Gaßner; Cecilia Raccagni; Bjoern M Eskofier; Jochen Klucken; Gregor K Wenning
Journal:  Front Neurol       Date:  2019-01-22       Impact factor: 4.003

6.  Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease.

Authors:  An Nguyen; Nils Roth; Nooshin Haji Ghassemi; Julius Hannink; Thomas Seel; Jochen Klucken; Heiko Gassner; Bjoern M Eskofier
Journal:  J Neuroeng Rehabil       Date:  2019-06-26       Impact factor: 4.262

7.  Low composite functional movement screen score associated with decline of gait stability in young adults.

Authors:  Myeounggon Lee; Changhong Youm; Byungjoo Noh; Hwayoung Park
Journal:  PeerJ       Date:  2021-04-30       Impact factor: 2.984

8.  Design of a Novel Wearable System for Foot Clearance Estimation.

Authors:  Shilpa Jacob; Geoff Fernie; Atena Roshan Fekr
Journal:  Sensors (Basel)       Date:  2021-11-26       Impact factor: 3.576

9.  Wearable sensors objectively measure gait parameters in Parkinson's disease.

Authors:  Johannes C M Schlachetzki; Jens Barth; Franz Marxreiter; Julia Gossler; Zacharias Kohl; Samuel Reinfelder; Heiko Gassner; Kamiar Aminian; Bjoern M Eskofier; Jürgen Winkler; Jochen Klucken
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

10.  Validity of shoe-type inertial measurement units for Parkinson's disease patients during treadmill walking.

Authors:  Myeounggon Lee; Changhong Youm; Jeanhong Jeon; Sang-Myung Cheon; Hwayoung Park
Journal:  J Neuroeng Rehabil       Date:  2018-05-15       Impact factor: 4.262

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