Evidence map›Paper›PMID 35354893›Full record

ArticleScientific reports2022

Three-dimensional continuous gait trajectory estimation using single Shank-Worn inertial measurement units and clinical walk test application.

Hirotaka Uchitomi, Yuki Hirobe, Yoshihiro Miyake

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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hirotaka UchitomiDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan. uchitomi.h.aa@m.titech.ac.jp.
Yuki HirobeDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Yoshihiro MiyakeDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

State-of-the-art estimation methods using inertial measurement units (IMUs) for global continuous gait path and local stepwise gait trajectory during walking have been developed. However, estimation methods for continuous gait trajectory integrating both these aspects with high accuracy are almost lacking. Thus, continuous gait trajectory estimation using a single shank-worn IMU with high accuracy is proposed in this study. This method calculates three-dimensional local stepwise gait trajectory based on IMU measurement data extracted between adjacent middle points of stance phases during walking. Continuous gait trajectory is estimated by concatenating adjacent local stepwise gait trajectories based on relative angles determined according to stride vectors and shank orientations. Evaluation experiments results obtained using the optical motion capture system with 12 healthy participants demonstrated estimation errors in the stride length (- 0.027 (- 0.054 to - 0.006) m) and turning angle (0.7 (- 0.2-1.7)°), and normalized endpoint position error (0.029 (0.019-0.04) m). Comparing with previous reports, the proposed method integrally achieves a continuous gait trajectory with a low estimation error level in both local and global aspects despite the continuous measurement of multiple gait cycles. The proposed simple and low-cost method can be applied in the medical field and contribute to expansion of the application of precise gait information in daily life.

Indexed as

GaitWalkingBiomechanical PhenomenaHumansLegWalk Test

Identifiers

PMID35354893
PMCPMC8967923

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.