Gait spectral index (GSI): a new quantification method for assessing human gait
| Autor: | Laszlo Schwirtlich, Rodolphe Héliot, Bernard Espiau, Christine Azevedo-Coste |
|---|---|
| Přispěvatelé: | Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Artificial movement and gait restoration (DEMAR), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institute for Rehabilitation 'Dr Miroslav Zotovic' [Belgrade], Institute for Rehabilitation 'Dr Miroslav Zotovic', Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) |
| Rok vydání: | 2010 |
| Předmět: |
medicine.medical_specialty
Computer science 0206 medical engineering Effect of gait parameters on energetic cost 02 engineering and technology Repeatability Accelerometer 020601 biomedical engineering [SPI.AUTO]Engineering Sciences [physics]/Automatic Quantitative measure 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Gait (human) Healthy individuals Quantitative assessment medicine [SDV.IB]Life Sciences [q-bio]/Bioengineering Cadence 030217 neurology & neurosurgery |
| Zdroj: | Health Health, SAGE Publications, 2010, 2 (1), pp.38-44. ⟨10.4236/health.2010.21007⟩ Health, 2010, 2 (1), pp.38-44. ⟨10.4236/health.2010.21007⟩ |
| ISSN: | 1949-5005 1949-4998 1363-4593 1461-7196 |
| DOI: | 10.4236/health.2010.21007 |
| Popis: | International audience; This paper introduces a simple, quantitative assessment tool to follow up the recovery of gait. Today, micro-electro-mechanical systems (MEMS) technology provides with small, simple, low-power consuming and easy to don and doff sensors. In our approach we have selected an accelerometer and introduced a new quantity that characterizes the gait pattern in the frequency domain, we term it Gait Spectral Index (GSI). GSI allows assessing gait quality and closely relates to the speed and cadence of gait (dynamics). We have tested the GSI approach to quantify the quality of the gait of healthy young and elderly, and poststroke hemiplegic individuals. We investigated the repeatability and coherence of GSI in healthy individuals (young and elderly) and contrasted this to the post-stroke hemiplegic individuals. We found that high correlation of the GSI with conventional gait parameters. This suggests that GSI, which needs only data from one accelerometer, could be an objective quantitative measure of the quality of the walking thereby a simple yet reliable measure of the recovery of function during neuronrehabilitation. |
| Databáze: | OpenAIRE |
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