A multiple-task gait analysis approach: Kinematic, kinetic and EMG reference data for healthy young and adult subjects

Bovi, G.; Rabuffetti, Marco; Mazzoleni, Paolo; Ferrarin, Maurizio

doi:10.1016/j.gaitpost.2010.08.009

Cited by 309 publications

(237 citation statements)

References 27 publications

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“…These biomechanical differences should not be attributed to walking speed, as speed did not differ across time for any of the experimental conditions ( Table 2). The present data are comparable to similar previously collected data, 12,[27][28][29][30] indicating that our data-collection and -analysis methods were appropriate.…”

Section: Discussionsupporting

confidence: 90%

A Novel Experimental Knee-Pain Model Affects Perceived Pain and Movement Biomechanics

Seeley

Park

King

et al. 2013

Journal of Athletic Training

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Context: Knee injuries are prevalent, and the associated knee pain is linked to disability. The influence of knee pain on movement biomechanics, independent of other factors related to knee injuries, is difficult to study and unclear.Objective: (1) To evaluate a novel experimental knee-pain model and (2) better understand the independent effects of knee pain on walking and running biomechanics.Design: Crossover study. Setting: Biomechanics laboratory.Patients or Other Participants: Twelve able-bodied volunteers (age ¼ 23 6 3 years, height ¼ 1.73 6 0.09 m, mass ¼ 75 6 14 kg).Intervention(s): Participants walked and ran at 3 time intervals (preinfusion, infusion, and postinfusion) for 3 experimental conditions (control, sham, and pain). During the infusion time interval for the pain and sham conditions, hypertonic or isotonic saline, respectively, was continuously infused into the right infrapatellar fat pad for 22 minutes.Main Outcome Measure(s): We used repeated-measures analyses of variance to evaluate the effects of time and condition on (1) perceived knee pain and (2) key biomechanical characteristics (ground reaction forces, and joint kinematics and kinetics) of walking and running (P , .05).Results: The hypertonic saline infusion (1) increased perceived knee pain throughout the infusion and (2) reduced discrete characteristics of each component of the walking ground reaction force, walking peak plantar-flexion angle (range ¼ 628-678), walking peak plantar-flexion moment (range ¼ 95-104 NÁm), walking peak knee-extension moment (range ¼ 36-49 NÁm), walking peak hip-abduction moment (range ¼ 62-73 NÁm), walking peak support moment (range ¼ 178-207 NÁm), running peak plantar-flexion angle (range ¼ 388-778), and running peak hip-adduction angle (range ¼ 5-218).Conclusions: This novel experimental knee pain model consistently increased perceived pain during various human movements and produced altered running and walking biomechanics that may cause abnormal knee joint-loading patterns.

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Section: Discussionsupporting

confidence: 90%

A Novel Experimental Knee-Pain Model Affects Perceived Pain and Movement Biomechanics

Seeley

Park

King

et al. 2013

Journal of Athletic Training

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“…We considered the public dataset of Bovi et al (2011). This is a comprehensive dataset including 3D multi-joint kinematics, kinetics and EMG for a variety of gait-related tasks from 40 healthy subjects subcategorised into 20 "young" (aged 6-17) and 20 "adult" (aged 22-72).…”

Section: Methodsmentioning

confidence: 99%

“…In contrast to this, classical hypothesis testing of EMG time-series tends to involve the extraction of summarizing scalar parameters of individual muscles [Houck, 2003] and qualitative interpretation [e.g. Bovi et al, 2011, Koshland et al, 2005. Scalar or qualitative analyses fail to consider the characteristics of inter-muscle dependence or time dependence in EMG time-series.…”

Section: Introductionmentioning

confidence: 99%

Statistical Parametric Mapping (SPM) for alpha-based statistical analyses of multi-muscle EMG time-series

Robinson

Vanrenterghem

Pataky

2015

Journal of Electromyography and Kinesiology

100

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Multi-muscle EMG time-series are highly correlated and time dependent yet traditional statistical analysis of scalars from an EMG time-series fails to account for such dependencies. This paper promotes the use of SPM vector-field analysis for the generalised analysis of EMG time-series. We reanalysed a publicly available dataset of Young versus Adult EMG gait data to contrast scalar and SPM vector-field analysis. Independent scalar analyses of EMG data between 35-45% stance phase showed no statistical differences between the Young and Adult groups. SPM vector-field analysis did however identify statistical differences within this time period. As scalar analysis failed to consider the multi-muscle and time dependence of the EMG time-series it exhibited Type II error. SPM vector-field analysis on the other hand accounts for both dependencies whilst tightly controlling for Type I and Type II error making it highly applicable to EMG data analysis. Additionally SPM vector-field analysis is generalizable to linear and non-linear parametric and non-parametric statistical models, allowing its use under constraints that are common to electromyography and kinesiology.

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“…This diversity causes segmentation of the whole group, e.g. in the study performed in [4], there is a segmentation of the group in two different range of ages. One group included subjects from 22 to 72 years old, meanwhile, the subjects from the other group have ages ranged from 6 to 17 years old.…”

Section: Gait Analysis Datamentioning

confidence: 99%

Characterization of Kinetic and Kinematic Parameters for Wearable Robotics

Solis-Ortega

Dehghani-Sanij

Martinez-Hernandez

2017

Towards Autonomous Robotic Systems

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Abstract. The design process of a wearable robotic device for human assistance requires the characterization of both kinetic and kinematic parameters (KKP) of the human joints. The first step in this process is to extract the KKP from different gait analyses studies. This work is based on the human lower limb considering the following activities of daily living (ADL): walking over ground, stairs ascending/descending, ramp ascending/descending and chair standing up. The usage of different gait analyses in the characterization process, causes the data to have great variations from one study to another. Therefore, the data is graphically represented using Matlab® and Excel® to facilitate its assessment. Finally, the characterization of the KKP performed was proved to be useful in assessing the data reliability by directly comparing all the studies between each other; providing guidelines for the selection of actuator capacities depending on the end application; and highlighting optimization opportunities such as the implementation of agonist-antagonist actuators for particular human joints.

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A multiple-task gait analysis approach: Kinematic, kinetic and EMG reference data for healthy young and adult subjects

Cited by 309 publications

References 27 publications

A Novel Experimental Knee-Pain Model Affects Perceived Pain and Movement Biomechanics

A Novel Experimental Knee-Pain Model Affects Perceived Pain and Movement Biomechanics

Statistical Parametric Mapping (SPM) for alpha-based statistical analyses of multi-muscle EMG time-series

Characterization of Kinetic and Kinematic Parameters for Wearable Robotics

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