Estimation of stride length in level walking using an inertial measurement unit attached to the foot: A validation of the zero velocity assumption during stance

Peruzzi, A.; Croce, Ugo Della; Cereatti, Andrea

doi:10.1016/j.jbiomech.2011.04.035

Cited by 105 publications

(75 citation statements)

References 19 publications

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“…2.3.1) showed that at these percentages of stance phase, the difference between the norm of the accelerometer output (S) and g (9.81 m s"^) was on average less than 0.5 m s~^ and always less than 1.0 m s^^. This choice of /o agrees with a recent study [26] that reported zerovelocity instants of foot motion during gait.…”

Section: Segment Orientation Calculationsupporting

confidence: 86%

Measurement of Multi-segment Foot Joint Angles During Gait Using a Wearable System

Rouhani¹,

Favre

Crevoisier

et al. 2012

Journal of Biomechanical Engineering

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Usually the measurement of multi-segment foot and ankle complex kinematics is done with stationary motion capture devices which are limited to use in a gait laboratory. This study aimed to propose and validate a wearable system to measure the foot and ankle complex joint angles during gait in daily conditions, and then to investigate its suitability for clinical evaluations. The foot and ankle complex consisted of four segments (shank, hindfoot, forefoot, and toes), with an inertial measurement unit (3D gyroscopes and 3D accelerometers) attached to each segment. The angles between the four segments were calculated in the sagittal, coronal, and transverse planes using a new algorithm combining strap-down integration and detection of low-acceleration instants. To validate the joint angles measured by the wearable system, three subjects walked on a treadmill for five minutes at three different speeds. A camera-based stationary system that used a cluster of markers on each segment was used as a reference. To test the suitability of the system for clinical evaluation, the joint angle ranges were compared between a group of 10 healthy subjects and a group of 12 patients with ankle osteoarthritis, during two 50-m walking trials where the wearable system was attached to each subject. On average, over all joints and walking speeds, the RMS differences and correlation coefficients between the angular curves obtained using the wearable system and the stationary system were 1 deg and 0.93, respectively. Moreover, this system was able to detect significant alteration of foot and ankle function between the group of patients with ankle osteoarthritis and the group of healthy subjects. In conclusion, this wearable system was accurate and suitable for clinical evaluation when used to measure the multi-segment foot and ankle complex kinematics during long-distance walks in daily life conditions.

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Section: Segment Orientation Calculationsupporting

confidence: 86%

Measurement of Multi-segment Foot Joint Angles During Gait Using a Wearable System

Rouhani¹,

Favre

Crevoisier

et al. 2012

Journal of Biomechanical Engineering

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“…For stride lengths and velocities, the data collection system employs a novel method to integrate the IMU data. Zero-velocity update allows to subtract integration error on a stride-by-stride basis and in this way to obtain reliable stride length and velocity data545556. Separate testing (not reported here) inside a motion capture lab revealed that the trial averages of the estimated stride lengths and velocities approximate very well the optical motion capture “gold standard”.…”

Section: Methodsmentioning

confidence: 82%

The role of environmental constraints in walking: Effects of steering and sharp turns on gait dynamics

Dotov¹,

Bardy²,

Bella³

2016

Sci Rep

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Stride durations in gait exhibit long-range correlation (LRC) which tends to disappear with certain movement disorders. The loss of LRC has been hypothesized to result from a reduction of functional degrees of freedom of the neuromuscular apparatus. A consequence of this theory is that environmental constraints such as the ones induced during constant steering may also reduce LRC. Furthermore, obstacles may perturb control of the gait cycle and also reduce LRC. To test these predictions, seven healthy participants walked freely overground in three conditions: unconstrained, constrained (constant steering), and perturbed (frequent 90° turns). Both steering and sharp turning reduced LRC with the latter having a stronger effect. Competing theories explain LRC in gait by positing fractal CPGs or a biomechanical process of kinetic energy reuse. Mediation analysis showed that the effect of the experimental manipulation in the current experiment depends partly on a reduction in walking speed. This supports the biomechanical theory. We also found that the local Hurst exponent did not reflect the frequent changes of heading direction. This suggests that the recovery from the sharp turn perturbation, a kind of relaxation time, takes longer than the four to seven meters between successive turns in the present study.

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“…Multiple factors may contribute to this: low spatial resolution of GaitRite TM (1.27 cm) has been thought to compromise reliability in measuring short distances like base width [22] which may also apply for very short steps in very slow walks. Further, speed related changes in measurement with inertial sensors [23,24] have been reported. Concerning the effect of body height, MobilityLab TM output of stride length is %stature based on algorithms that take into account the observed angular velocities and linear accelerations as well as biomechanical models.…”

Section: Discussionmentioning

confidence: 95%

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

et al. 2016

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Estimation of stride length in level walking using an inertial measurement unit attached to the foot: A validation of the zero velocity assumption during stance

Cited by 105 publications

References 19 publications

Measurement of Multi-segment Foot Joint Angles During Gait Using a Wearable System

Measurement of Multi-segment Foot Joint Angles During Gait Using a Wearable System

The role of environmental constraints in walking: Effects of steering and sharp turns on gait dynamics

Accuracy and repeatability of two methods of gait analysis – GaitRite™ und Mobility Lab™ – in subjects with cerebellar ataxia

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