Oqus4

Manufactured by Qualisys

Sourced in Sweden

The OQUS4 is a high-performance motion capture camera from Qualisys. It is designed to capture and track the movement of objects and subjects with high precision and accuracy. The OQUS4 features a resolution of 4 megapixels and a frame rate of up to 500 Hz, allowing for detailed and real-time analysis of motion data.

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Lab products found in correlation

Or6 5, by Amti (1 mentions) Visual 3d software, by C-Motion (1 mentions) Track manager, by Qualisys (1 mentions)

3 protocols using oqus4

Gait Analysis in Hip Osteoarthritis

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We studied the gait pattern using 3DGA in 3 groups; healthy controls, subjects with unilateral hip OA and subjects operated with unilateral THA. Each of the subjects was examined by 2 observers. The primary aim of the study was to determine whether there is a systematic difference concerning repeatability of measurements within subjects with- or without hip disease, or with a replaced hip joint in terms of hip kinematic and kinetic data obtained from the 3DGA measurements. The secondary aim was to delineate differences in hip motion during walking between these groups.
For data acquisition, a 12-camera motion capture system with a sampling rate of 240 Hz (Oqus 4, Qualisys AB, Göteborg, Sweden) together with 2 force-plates (Kistler 9182C, Kistler Group, Winterthur, Switzerland) were used.

Zügner R., Tranberg R., Lisovskaja V, & Kärrholm J. (2018). Different reliability of instrumented gait analysis between patients with unilateral hip osteoarthritis, unilateral hip prosthesis and healthy controls. BMC Musculoskeletal Disorders, 19, 224.

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Overground Walking Biomechanics at Self-Selected Pace

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These data came from a public dataset on overground walking, the details of which can be found in the original open source publication [18 (link)]. Fifty participants performed unshod walking on a 10-m level walkway across two in-ground force plates (1500 Hz, OR6-5, AMTI, USA), and motion was captured with 10 opto-electronic cameras (100 Hz, OQUS4, Qualisys, Sweden). Participants were instructed to walk at five speeds: 0–0.4 m/s1, 0.4–0.8 m/s, 0.8–1.2 m/s, self-selected spontaneous, and fast speeds. Only data from the self-selected spontaneous speed condition were extracted from the present analysis. Walking speed was extracted by the mean anterior velocity of the modelled COM during the periods when the participant was walking over the force plates. Marker trajectories and GRF data were low passed filtered (4^th Order, zero-lag, Butterworth), at 6Hz and 18Hz, respectively. A 12-segment full body, 6DOF joint model was developed in Visual 3D software (C-motion Inc., Germantown, MD, USA). A force plate threshold of 20N was used to determine gait events of initial contact and toe-off. Two participants were excluded after exploratory plots of the raw power waveforms revealed larger outlier values relative to the participants across all four studies.

Liew B.X., Rugamer D., Duffy K., Taylor M, & Jackson J. (2021). The mechanical energetics of walking across the adult lifespan. PLoS ONE, 16(11), e0259817.

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Marker Trajectories of Slow-Walking Adults

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Three-dimensional marker trajectories from slow-walking trials of 25 healthy, injury-free adults were taken from a publicly available open-source dataset published in Nature (37) . This motion capture data was generated using a 10-camera optoelectronic system sampled at 100 Hz (OQUS4, Qualisys, Sweden) where a 52 markers biomechanical model setup was utilized and marker trajectories were filtered with a 4 th -order Butterworth low-pass filter at cut-off frequency of 6Hz (38) . In the current study, this marker setup was simplified to 36 markers. 13 male and 12 female participants (Age: 32.88±10.6, Height: 1.72±0.1, Weight: 71.4±11.2, BMI: 24.04±2.4) were asked to walk at a speed between 0m/s -0.4m/s (corresponding to a 'household ambulator' (39) ) that was coordinated by a metronome on a 10-metre straight and level walkway. Participants were selected for the current study if they had at least 4 out of the possible 5 trials at this walking speed while inclusion criteria in the source study meant only individuals with a leg length difference of less than 1.5% of their height (approx. 0.03m). One right and left gait-cycle were captured in each trial. This data was collected originally using Qualisys Track Manager software (QTM 2.8.1065, Qualisys, Sweden). For further details on the data collection procedure, please see (37) .

Ó' Reilly D. (2021). Slow walking synergies reveal a functional role for arm swing asymmetry in healthy adults: A principal component analysis with relation to mechanical work. Gait & posture, 85.

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