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An elaborate data set on human gait and the effect of mechanical perturbations.

Moore JK, Hnat SK, van den Bogert AJ - PeerJ (2015)

Bottom Line: Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill.A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set.We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Mechanical Engineering, Cleveland State University , Cleveland, OH , USA.

ABSTRACT
Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 s of normal walking and 480 s of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations. The protocol is described in detail and supported with additional elaborate meta data for each trial. This data can likely be useful for validating or generating mathematical models that are capable of simulating normal periodic gait and non-periodic, perturbed gaits.

No MeSH data available.


Related in: MedlinePlus

The measured lateral deviation of the treadmill base from trial 6.Generated by src/lateral_perturbation_plot.m.
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fig-4: The measured lateral deviation of the treadmill base from trial 6.Generated by src/lateral_perturbation_plot.m.

Mentions: In addition to the longitudinal perturbations, lateral perturbations were also prescribed for a duration of four minutes in the pilot trials 3–8. Figure 4 shows an example of the measured lateral deviation of the treadmill base. These signals were generated in a similar manner using MATLAB and Simulink in which a Gaussian white noise block was twice integrated to obtain the lateral deviation. The signal was then high-pass filtered with a second-order Butterworth filter to eliminate drift and then saturated so that the signal remained within the 5 cm lateral range of the physical hardware. The same perturbation signal was used for each of the three trials.


An elaborate data set on human gait and the effect of mechanical perturbations.

Moore JK, Hnat SK, van den Bogert AJ - PeerJ (2015)

The measured lateral deviation of the treadmill base from trial 6.Generated by src/lateral_perturbation_plot.m.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4419525&req=5

fig-4: The measured lateral deviation of the treadmill base from trial 6.Generated by src/lateral_perturbation_plot.m.
Mentions: In addition to the longitudinal perturbations, lateral perturbations were also prescribed for a duration of four minutes in the pilot trials 3–8. Figure 4 shows an example of the measured lateral deviation of the treadmill base. These signals were generated in a similar manner using MATLAB and Simulink in which a Gaussian white noise block was twice integrated to obtain the lateral deviation. The signal was then high-pass filtered with a second-order Butterworth filter to eliminate drift and then saturated so that the signal remained within the 5 cm lateral range of the physical hardware. The same perturbation signal was used for each of the three trials.

Bottom Line: Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill.A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set.We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Mechanical Engineering, Cleveland State University , Cleveland, OH , USA.

ABSTRACT
Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 s of normal walking and 480 s of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations. The protocol is described in detail and supported with additional elaborate meta data for each trial. This data can likely be useful for validating or generating mathematical models that are capable of simulating normal periodic gait and non-periodic, perturbed gaits.

No MeSH data available.


Related in: MedlinePlus