ArticleSensors (Basel, Switzerland)2020
Non-Linear Template-Based Approach for the Study of Locomotion.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05171036 (Etude Des éléments Posturographiques Statiques et Dynamiques prédictifs de la Chute de la Personne âgée institutionnalisée), which is not on this map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Etude Des éléments Posturographiques Statiques et Dynamiques prédictifs de la Chute de la Personne âgée institutionnalisée
Who cites it
9 citing papers in PubMed.
- Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients.Journal of neuroengineering and rehabilitation · 2024Article
- A method for selecting the optimal warping path of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2024Article
- A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment.Sensors (Basel, Switzerland) · 2023Article
- Normalization and possibility of classification analysis using the optimal warping paths of dynamic time warping in gait analysis.Journal of exercise rehabilitation · 2023Article
- A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis.PloS one · 2022Article
- Gait Phase Estimation by Using LSTM in IMU-Based Gait Analysis-Proof of Concept.Sensors (Basel, Switzerland) · 2021Article
- Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping.Sensors (Basel, Switzerland) · 2021Article
- The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review.Sensors (Basel, Switzerland) · 2020Review
- Postadychute-AG, Detection, and Prevention of the Risk of Falling Among Elderly People in Nursing Homes: Protocol of a Multicentre and Prospective Intervention Study.Frontiers in digital health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The automatic detection of gait events (i.e., Initial Contact (IC) and Final Contact (FC)) is crucial for the characterisation of gait from Inertial Measurements Units. In this article, we present a method for detecting steps (i.e., IC and FC) from signals of gait sequences of individuals recorded with a gyrometer. The proposed approach combines the use of a dictionary of templates and a Dynamic Time Warping (DTW) measure of fit to retrieve these templates into input signals. Several strategies for choosing and learning the adequate templates from annotated data are also described. The method is tested on thirteen healthy subjects and compared to gold standard. Depending of the template choice, the proposed algorithm achieves average errors from 0.01 to 0.03 s for the detection of IC, FC and step duration. Results demonstrate that the use of DTW allows achieving these performances with only one single template. DTW is a convenient tool to perform pattern recognition on gait gyrometer signals. This study paves the way for new step detection methods: it shows that using one single template associated with non-linear deformations may be sufficient to model the gait of healthy subjects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.