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Gait Analysis Technologies for Measurement of Biomechanical Parameters of Knee Osteoarthritis

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Abstract

Knee osteoarthritis (KOA) is a progressive degenerative joint disease. This degenerative process leads to an alteration in the gait mechanics. There are varieties of methods that can be used to evaluate these gait differences. The purpose of this review is to critically analyze the research findings and to outline strategies for evaluating gait anomalies in KOA, including observational, vision-based, and sensor-based and hybrid gait assessment technologies. The gait analysis, carried out by these methods, enables the implementation of procedures suited to patients’ particular need is discussed. In all indices, the advantages and drawbacks of the available tools will be addressed after a concise description of the methods and the implementations in the KOA patients. The quantitative methods, categorized as vision, sensor-based, and hybrid technologies, have features that make them powerful and competitive for various types of requirements. Among these technologies, hybrid technology seems to be the most reliable and accurate because it can assess all aspects of gait assessment. Future studies should be done to develop a KOA gait dataset available publicly, consider all severity levels and all compartment KOA.

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Fig. 1

Adapted from Muro-de-la-Herran A, García-Zapirain B, Méndez-Zorrilla A. 2014 [16]

Fig. 2

Adapted from Tarniţǎ D, Catanǎ M, Tarniţǎ DN. 2013 [31]

Fig. 3

Adapted from Muro-de-la-Herran A, García-Zapirain B, Méndez-Zorrilla A. 2014 [16]

Fig. 4

Adapted from Spinoso DH, Bellei NC, Marques NR, Navega MT. 2018 [33]

Fig. 5

Adapted from Kiss RM. 2011 [34]

Fig. 6

Adapted from BTS GAITLAB | Integrated Gait Analysis Systems | BTS Bioengineering. [36]

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Data Availability

All data generated or analyzed during this study are included in this published article.

Code Availability

Not applicable.

Abbreviations

KOA:

Knee osteoarthritis

OGA:

Observational gait analysis

3D:

3 Dimensional

ICC:

Intraclass correlation coefficient

IDEEA:

Intelligent Device for Energy Expenditure and Activity

EMG:

Electromyography

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Authors and Affiliations

  1. Fortis Hospital, Shalimar Bagh, Delhi, 110088, India

    Priyanka Choursiya

  2. Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia (Central University), New Delhi, 110025, India

    Zubia Veqar, Zainy Khan, Tarushi Tanwar & Iram Iram

  3. Al-Azhar University, Gaza, Palestine

    Mosab Aldabbas

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  1. Priyanka Choursiya
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  2. Zubia Veqar
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  3. Zainy Khan
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Contributions

Conceptualization: PC and ZV; writing—original draft: PC; writing—review and editing: PC, ZV, ZK, TT, Iram, MA. All authors read and approved the final manuscript.

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Correspondence to Zubia Veqar.

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Choursiya, P., Veqar, Z., Khan, Z. et al. Gait Analysis Technologies for Measurement of Biomechanical Parameters of Knee Osteoarthritis. SN Compr. Clin. Med. 6, 6 (2024). https://doi.org/10.1007/s42399-023-01635-5

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