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Validity of Inertial Measurement Units to Measure Lower-Limb Kinematics and Pelvic Orientation at Submaximal and Maximal Effort Running Speeds.
Lin, Yi-Chung; Price, Kara; Carmichael, Declan S; Maniar, Nirav; Hickey, Jack T; Timmins, Ryan G; Heiderscheit, Bryan C; Blemker, Silvia S; Opar, David A.
Afiliación
  • Lin YC; School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Price K; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Carmichael DS; School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Maniar N; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Hickey JT; School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Timmins RG; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Heiderscheit BC; School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Blemker SS; Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Fitzroy, VIC 3065, Australia.
  • Opar DA; School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Sensors (Basel) ; 23(23)2023 Dec 04.
Article en En | MEDLINE | ID: mdl-38067972
Inertial measurement units (IMUs) have been validated for measuring sagittal plane lower-limb kinematics during moderate-speed running, but their accuracy at maximal speeds remains less understood. This study aimed to assess IMU measurement accuracy during high-speed running and maximal effort sprinting on a curved non-motorized treadmill using discrete (Bland-Altman analysis) and continuous (root mean square error [RMSE], normalised RMSE, Pearson correlation, and statistical parametric mapping analysis [SPM]) metrics. The hip, knee, and ankle flexions and the pelvic orientation (tilt, obliquity, and rotation) were captured concurrently from both IMU and optical motion capture systems, as 20 participants ran steadily at 70%, 80%, 90%, and 100% of their maximal effort sprinting speed (5.36 ± 0.55, 6.02 ± 0.60, 6.66 ± 0.71, and 7.09 ± 0.73 m/s, respectively). Bland-Altman analysis indicated a systematic bias within ±1° for the peak pelvic tilt, rotation, and lower-limb kinematics and -3.3° to -4.1° for the pelvic obliquity. The SPM analysis demonstrated a good agreement in the hip and knee flexion angles for most phases of the stride cycle, albeit with significant differences noted around the ipsilateral toe-off. The RMSE ranged from 4.3° (pelvic obliquity at 70% speed) to 7.8° (hip flexion at 100% speed). Correlation coefficients ranged from 0.44 (pelvic tilt at 90%) to 0.99 (hip and knee flexions at all speeds). Running speed minimally but significantly affected the RMSE for the hip and ankle flexions. The present IMU system is effective for measuring lower-limb kinematics during sprinting, but the pelvic orientation estimation was less accurate.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carrera / Extremidad Inferior Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carrera / Extremidad Inferior Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Australia