scholarly journals Effects of Fatigue Running on Joint Mechanics in Female Runners: A Prediction Study Based on a Partial Least Squares Algorithm

2021 ◽  
Vol 9 ◽  
Author(s):  
Wenjing Quan ◽  
Feng Ren ◽  
Datao Xu ◽  
Fekete Gusztav ◽  
Julien S Baker ◽  
...  
Keyword(s):  
Knee Joint ◽  
Hip Joint ◽  
Joint Angle ◽  
Treadmill Running ◽  
Joint Mechanics ◽  
Joint Work ◽  
Long Distance ◽  
Prolonged Fatigue ◽  
Recreational Runners ◽  
Knee Joint Mechanics

Background: Joint mechanics are permanently changed using different intensities and running durations. These variations in intensity and duration also influence fatigue during prolonged running. Little is known about the potential interactions between fatigue and joint mechanics in female recreational runners. Thus, the purpose of this study was to describe and examine kinematic and joint mechanical parameters when female recreational runners are subject to fatigue as a result of running.Method: Fifty female recreational runners maintained running on a treadmill to induce fatigue conditions. Joint mechanics, sagittal joint angle, moment, and power were recorded pre- and immediately post fatigue treadmill running.Result: Moderate reductions in absolute positive ankle power, total ankle energy dissipation, dorsiflexion at initial contact, max dorsiflexion angle, and range of motion of the joint ankle were collected after fatigue following prolonged fatigue running. Knee joint mechanics, joint angle, and joint power remained unchanged after prolonged fatigue running. Nevertheless, with the decreased ankle joint work, negative knee power increased. At the hip joint, the extension angle was significantly decreased. The range motion of the hip joint, hip positive work and hip positive power were increased during the post-prolonged fatigue running.Conclusion: This study found no proximal shift in knee joint mechanics in amateur female runners following prolonged fatigue running. The joint work redistribution was associated with running fatigue changes. As for long-distance running, runners should include muscle strength training to avoid the occurrence of running-related injuries.

scholarly journals Contribution of individual quadriceps muscles to knee joint mechanics

2019 ◽  
Vol 222 (6) ◽  
pp. jeb188292 ◽  
Author(s):  
Seong-Won Han ◽  
Andrew Sawatsky ◽  
Heiliane de Brito Fontana ◽  
Walter Herzog
Keyword(s):  
Knee Joint ◽  
Joint Mechanics ◽  
Knee Joint Mechanics

scholarly journals Functional vs. Traditional Analysis in Biomechanical Gait Data: An Alternative Statistical Approach

2017 ◽  
Vol 60 (1) ◽  
pp. 39-49 ◽  
Author(s):  
Jihong Park ◽  
Matthew K. Seeley ◽  
Devin Francom ◽  
C. Shane Reese ◽  
J. Ty Hopkins
Keyword(s):  
Data Analysis ◽  
Knee Joint ◽  
Hip Joint ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Joint Angle ◽  
Body Height ◽  
Human Motion ◽  
Infrapatellar Fat Pad ◽  
Initial Contact

Abstract In human motion studies, discrete points such as peak or average kinematic values are commonly selected to test hypotheses. The purpose of this study was to describe a functional data analysis and describe the advantages of using functional data analyses when compared with a traditional analysis of variance (ANOVA) approach. Nineteen healthy participants (age: 22 ± 2 yrs, body height: 1.7 ± 0.1 m, body mass: 73 ± 16 kg) walked under two different conditions: control and pain+effusion. Pain+effusion was induced by injection of sterile saline into the joint capsule and hypertonic saline into the infrapatellar fat pad. Sagittal-plane ankle, knee, and hip joint kinematics were recorded and compared following injections using 2×2 mixed model ANOVAs and FANOVAs. The results of ANOVAs detected a condition × time interaction for the peak ankle (F1,18 = 8.56, p = 0.01) and hip joint angle (F1,18 = 5.77, p = 0.03), but did not for the knee joint angle (F1,18 = 0.36, p = 0.56). The functional data analysis, however, found several differences at initial contact (ankle and knee joint), in the mid-stance (each joint) and at toe off (ankle). Although a traditional ANOVA is often appropriate for discrete or summary data, in biomechanical applications, the functional data analysis could be a beneficial alternative. When using the functional data analysis approach, a researcher can (1) evaluate the entire data as a function, and (2) detect the location and magnitude of differences within the evaluated function.

Kinematical Analysis of Dismount of Double Salto Backwards Stretched with 2/1 Twists

2013 ◽  
Vol 312 ◽  
pp. 210-214
Author(s):  
Ji He Zhou
Keyword(s):  
Knee Joint ◽  
Hip Joint ◽  
Joint Angle ◽  
Lower Limbs ◽  
Horizontal Distance ◽  
Flight Phase ◽  
Knee Joint Angle ◽  
Kinematical Analysis ◽  
Kinematics Parameters ◽  
Improve Stability

The aim of this study was to revealed the top-notch gymnast Kai Zous dismount of double salto backwards stretched with 2/1 twist. The findings showed that (1) at flight phase, (a) kinematics parameters had slightly different at off-bar moment in 2011 and 2012, (b) flight posture fitted with gymnastic rules, (2) at landing phase, (a) the lower limbs of Kai Zou didnt stretch, it was unfavorable for the following buffering, (b) his hip joint angle was smaller and knee joint angle was larger after landing in 2012, and these were favorable for the finish of buffering element, it will increase the horizontal distance of C.G. and improve stability of landing, (c) mean hip joint angle was 117.9o at landing, the buffering time was 0.215s.

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