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Assessment of Human Gait Parameters Based on Accelerometry

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Biomedical Engineering Aims and scope

A technique for assessing the biomechanical parameters of human gait has been developed. The technique can be used for rapid assessment of the state of the musculoskeletal system based on long-term accelerometer monitoring data. It is proposed to use the correlation coefficients of accelerometer signals recorded in a person walking at different paces to teach a neural network to isolate individual steps based on daily accelerography data. The developed rapid assessment technique allows characteristic signs of motor pathology to be detected by analyzing the gait parameters.

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Authors and Affiliations

  1. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russia

    N. V. Dorofeev, A. V. Grecheneva & V. S. Buzhinsky

Authors
  1. N. V. Dorofeev
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  2. A. V. Grecheneva
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  3. V. S. Buzhinsky
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Corresponding author

Correspondence to A. V. Grecheneva.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 55, No. 2, Mar.-Apr., 2021, pp. 11-14.

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Dorofeev, N.V., Grecheneva, A.V. & Buzhinsky, V.S. Assessment of Human Gait Parameters Based on Accelerometry. Biomed Eng 55, 92–96 (2021). https://doi.org/10.1007/s10527-021-10078-y

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  • DOI: https://doi.org/10.1007/s10527-021-10078-y

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