Running Gait Analysis and Biomechanics

DeJong, Peter; Hatamiya, Nicolas S.; Barkley, Lisa

doi:10.1249/jsr.0000000000000944

Cited by 3 publications

(1 citation statement)

References 7 publications

(14 reference statements)

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“…By analyzing gait, information about individuals’ physiological status, motion capability, and potential health issues can be obtained [ 1 – 3 ]. Gait analysis is widely applied in various fields, including: (1) Assessing the walking ability of patients with neurological disorders [ 4 – 6 ], musculoskeletal diseases [ 7 , 8 ], and geriatric dementia [ 9 ], (2) Developing personalized rehabilitation plans and assessing the progress of rehabilitation [ 10 , 11 ], (3) Assisting athletes in improving walking techniques and postures to enhance their sports performance [ 12 ]. There are several technologies available for gait analysis, such as motion capture systems, pressure mats, and accelerometers.…”

Section: Introductionmentioning

confidence: 99%

Accuracy validation of a wearable IMU-based gait analysis in healthy female

He,

Chen,

Tang

et al. 2024

BMC Sports Sci Med Rehabil

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Objective The aim of this study was to assess the accuracy and test-retest reliability of a wearable inertial measurement unit (IMU) system for gait analysis in healthy female compared to a gold-standard optoelectronic motion capture (OMC) system. Methods In our study, we collected data from 5 healthy young females. Participants were attached with markers from both the OMC system and the IMU system simultaneously. Data was collected when participants walked on a 7 m walking path. Each participant performed 50 repetitions of walking on the path. To ensure the collection of complete gait cycle data, a gait cycle was considered valid only if the participant passed through the center of the walking path at the same time that the OMC system detected a valid marker signal. As a result, 5 gait cycles that met the standards of the OMC system were included in the final analysis. The stride length, cadence, velocity, stance phase and swing phase of the spatio-temporal parameters were included in the analysis. A generalized linear mixture model was used to assess the repeatability of the two systems. The Wilcoxon rank-sum test for continuous variables was used to compare the mean differences between the two systems. For evaluating the reliability of the IMU system, we calculated the Intra-class Correlation Coefficient (ICC). Additionally, Bland-Altman plots were used to compare the levels of agreement between the two systems. Results The measurements of Spatio-temporal parameters, including the stance phase (P = 0.78, 0.13, L-R), swing phase (P = 0.78, 0.13, L-R), velocity (P = 0.14, 0.13, L-R), cadence (P = 0.53, 0.22, L-R), stride length (P = 0.05, 0.19, L-R), by the IMU system and OMC system were similar. Which suggested that IMU and OMC systems could be used interchangeably for gait measurements. The intra-rater reliability showed an excellent correlation for the stance phase, swing phase, velocity and cadence (Intraclass Correlation Coefficient, ICC > 0.9) for both systems. However, the correlation of stride length was poor (ICC = 0.36, P = 0.34, L) to medium (ICC = 0.56, P = 0.22, R). Additionally, the measurements of IMU systems were repeatable. Conclusions The results of IMU system and OMC system shown good repeatability. Wearable IMU system could analyze gait data accurately. In particular, the measurement of stance phase, swing phase, velocity and cadence showed excellent reliability. IMU system provided an alternative measurement to OMC for gait analysis. However, the measurement of stride length by IMU needs further consideration.

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Section: Introductionmentioning

confidence: 99%

Accuracy validation of a wearable IMU-based gait analysis in healthy female

He,

Chen,

Tang

et al. 2024

BMC Sports Sci Med Rehabil

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Magnetic Sensor Array Based on Coordinate Measuring and Differential Evolution Algorithm

Song

Ding²,

Huan³

et al. 2023

IEEE Sensors J.

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Spor Heki̇mli̇ği̇ Bakiş Açisiyla Hareket Anali̇zi̇ Si̇stemleri̇ Ve Bi̇yomekani̇k

KIYAK

Ercan

2023

SDÜ Tıp Fakültesi Dergisi

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Biyomekanik ve hareket analizi konuları, spor hekimleri tarafından günden güne önemi artan alanlardandır. Hareket analizi sistemleri, farklı hareket paternleri sonucunda biyolojik dokunun etkilenimini incelemekte ve bu etkilenimi verilere dökmektedir. Bu veriler ışığında klinisyen, yaralanma öncesinde ve sonrasında yaralanmanın önlenmesi, tedavisi veya rehabilitasyonu konularında daha efektif yöntemlere başvurabilmektedir. Profesyonel sporcular ve rekreasyonel düzeyde sporla ilgilenen bireyler, sıklıkla fırlatma ve koşma eylemlerini içeren aktivitelere katılmaktadır. Fırlatma eylemi toplamda 4 fazdan oluşmakta ve bu eylem sırasındaki teknik hataların düzeltilmesi özellikle üst ekstremite yaralanmalarının önlenmesinde ve tedavisinde çok büyük önem arz etmektedir. Koşma eylemi ise 5 fazdan oluşmakta ve biyomekanik olarak incelenmesi alt ekstremite yaralanmalarının önlenmesinde ve tedavisinde önemlidir. Bu derlemenin amacı, spor hekimliği pratiğinde sık kullanılan hareket analizi sistemlerinin, üst ekstremite ve alt ekstremite biyomekaniklerinin güncel bilgiler ışığında okuyucuya sunulmasıdır.

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Running Gait Analysis and Biomechanics

Cited by 3 publications

References 7 publications

Accuracy validation of a wearable IMU-based gait analysis in healthy female

Accuracy validation of a wearable IMU-based gait analysis in healthy female

Magnetic Sensor Array Based on Coordinate Measuring and Differential Evolution Algorithm

Spor Heki̇mli̇ği̇ Bakiş Açisiyla Hareket Anali̇zi̇ Si̇stemleri̇ Ve Bi̇yomekani̇k

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