Dual belt treadmill

Manufactured by Bertec

Sourced in United States

The Dual-belt treadmill is a laboratory equipment that features two independent belt systems. It allows for the assessment of gait and balance parameters by enabling the user to walk or run on separate belts.

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Lab products found in correlation

Close spelling variants of this product

Dual-belt force-measuring treadmill Dual-belt instrumented treadmill

7 protocols using dual belt treadmill

Quantifying Soft Tissue Artifact in Hip Motion

Cited 2 times

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Eighteen participants signed informed consent to enroll in this study that was approved by University of Utah’s Institutional Review Board (IRB). Seven participants were excluded based on morphological findings of structural hip disease visible on an anterior-posterior plain film radiograph. Eleven participants (N=11) (six male) were imaged with skin marker motion capture and DF; these participants were included in our previous study, which quantified STA of the pelvic and femoral body segments (Fiorentino et al., 2017 (link)). Participant characteristics were as follows (mean (standard deviation, SD)): aged 23.2 (2.2) years, height 173.3 (10.4) cm, mass 63.8 (10.9) kg, body-mass index (BMI) 21.1 (1.9) kg/m². The side to be imaged was chosen to provide relative balance between the number of left and right hips (six right). Participants walked on an instrumented, dual belt treadmill (Bertec Corporation, Columbus, OH, USA) at their self-selected speed, determined by a timed walk test off the treadmill (mean ± SD speed: 1.3 ± 0.1 m/s) (Fiorentino et al., 2016a (link)).

Fiorentino N.M., Atkins P.R., Kutschke M.J., Foreman K.B, & Anderson A.E. (2020). Soft Tissue Artifact Causes Underestimation of Hip Joint Kinematics and Kinetics in a Rigid-Body Musculoskeletal Model. Journal of biomechanics, 108, 109890.

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Treadmill Gait Analysis for Assistive Devices

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Kinetic and kinematic data were collected with an 8-camera motion capture system (Motion Analysis 3D Eagle, Santa Rosa, CA) while participants walked for two 30-second trials on a dual-belt treadmill (Bertec Corp., Columbus, OH, USA) at the walking speed assessed during the overground 10-meter walk test. Force platforms embedded within the treadmill belts collected independent ground reaction forces (1000Hz) for each limb. If participants normally used an assistive device, they were permitted to use a handrail located at the front of the treadmill.

Palmer J.A., Kesar T.M., Wolf S.L, & Borich M.R. (2021). Motor cortical network flexibility is associated with biomechanical walking impairment in chronic stroke. Neurorehabilitation and neural repair, 35(12), 1065-1075.

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Multimodal Gait Analysis of Powered Prosthetic Knee

Cited 1 time

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We recorded the ground reaction forces of each limb from a dual-belt treadmill (1000 Hz, Bertec Corp., Columbus, OH, USA), full-body motion using a 12-camera motion capture system and 39 retroreflective markers (100 Hz, VICON, Oxford, UK), and gluteus medius activity of each limb using active surface electromyography (EMG) sensors (Sensor SX230, Amplifier K800, Biometrics Ltd., Ladysmith, VA, USA). The markers on the prosthesis-side were placed on the estimated axes of rotation [22 (link)]. We prepared the skin and electrodes using isopropyl alcohol. We placed the EMG sensors in accordance with the SENIAM standards, and we placed the ground electrode on a bony landmark near the wrist. We verified the location of the sensors and signal quality by visually examining the EMG signal as subjects placed their hands on a table in front of them and abducted each leg individually. Though it was not part of our main objective, we also recorded subjects’ verbal feedback regarding their experience with the powered prosthetic knee component.

Brandt A, & Huang H.(. (2019). Effects of extended stance time on a powered knee prosthesis and gait symmetry on the lateral control of balance during walking in individuals with unilateral amputation. Journal of NeuroEngineering and Rehabilitation, 16, 151.

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Biomechanical Analysis of Walking Speeds

Cited 1 time

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All participants underwent biomechanical and clinical evaluations. Participants performed a 10-meter walk test to quantify self-selected and fastest walking speeds (Awad et al. 2014 (link)). An average of 3 tests for each speed was used. Kinetic and kinematic data were collected with an 8-camera motion capture system (Motion Analysis 3D Eagle, Santa Rosa, CA) while participants walked at their self-selected and fastest speeds on a dual-belt treadmill (Bertec Corp., Columbus, OH, USA) for a total of 1 minute at each speed (Awad et al. 2014 (link)). The treadmill was instrumented with 2 independent 6 degree of freedom force platforms that measured ground reaction forces at 1080 Hz.

Palmer J.A., Hsiao H., Awad L.N, & Binder-Macleod S.A. (2015). Symmetry of corticomotor input to plantarflexors influences the propulsive strategy used to increase walking speed post-stroke. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 127(3), 1837-1844.

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Kinematic Analysis of Lower Limb Movements

Cited 1 time

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Subjects completed six activities: 1) standing (static), 2) level walk, 3) incline (5°) walk, 4) abduction to 45° then back to neutral, 5) internal hip rotation to end range of motion and 6) external hip rotation to end range of motion [11 (link)]. The stance of the subject was standardized during the static activity, wherein subjects stood with their feet hip width apart, toes pointing forward, and knees and hips at neutral (0°). The hip rotation activities were performed with the feet on the ground while angular changes were permitted at the ankle and knee joints. All trials were completed on a dual-belt treadmill (Bertec Corporation, Columbus, OH, USA). After the static, activities were performed in a random order. The speed for the walk trials was set to the subject’s self-selected over-ground walking speed [11 (link)]. To best represent errors in the transverse plane over the subject’s entire ROM, the internal and external hip rotations trials were combined, hereafter referred to simply as “rotation.” Two trials were acquired for all dynamic activities. The trial with the greatest range of motion and/or highest quality fluoroscopy images was analyzed. Image quality was assessed qualitatively by inspection prior to model-based tracking (NMF). For two subjects, no abduction trials were acquired, as the allowable time for radiation exposure, as set by the IRB, had expired.

Fiorentino N.M., Atkins P.R., Kutschke M.J., Goebel J.M., Foreman K.B, & Anderson A.E. (2017). Soft tissue artifact causes significant errors in the calculation of joint angles and range of motion at the hip. Gait & posture, 55, 184-190.

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Measuring Metabolic and Biomechanical Demands of Assisted Walking

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Prior to the experimental trials, subjects performed a 7-min standing trial while we measured rates of oxygen consumption and carbon dioxide production to estimate standing metabolic power. We then compared the mechanical, muscular, and metabolic demands of healthy individuals (n = 8) walking on a treadmill (1.25 m/s) during two randomized conditions of normal (control) and assisted walking. In the normal condition, subjects walked without the rope-pulley device. In the assisted condition (Fig. 1), subjects were connected to the device and were instructed to use their arms to pull on the rope to drive their legs. Subjects walked on a dual-belt treadmill (Bertec Corporation, Columbus, OH, USA) at 1.25 m/s for the randomized trials of normal and assisted walking, with each trial lasting 7 min in duration. Subjects were allowed a full recovery ad libitum of at least 5 min between trials to reduce any effects of fatigue. During both trials, we simultaneously measured ground reactions forces (GRFs), positions of reflective markers, surface electromyography (EMG), rates of oxygen consumption (

\dot{V} O_{2}

) and carbon dioxide production (

\dot{V} {CO}_{2}

), and respiratory exchange ratio (RER) during the last three minutes of each trial. During the assisted condition, we measured the pulling forces generated by the arm by means of subminiature load cells.

Vega D, & Arellano C.J. (2021). Using a simple rope-pulley system that mechanically couples the arms, legs, and treadmill reduces the metabolic cost of walking. Journal of NeuroEngineering and Rehabilitation, 18, 96.

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Biomechanical Walking Assessment on Treadmill

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A biomechanical walking assessment was performed at the participant's self-selected walking speed assessed during the overground 10-meter walk test. Kinetic and kinematic data were collected with an 8-camera motion capture system (Motion Analysis 3D Eagle, Santa Rosa, CA) while participants walked for two 30second trials on a dual-belt treadmill (Bertec Corp., Columbus, OH, USA). Independent ground reaction forces for each limb were collected at 1000Hz from force platforms embedded within the treadmill belts.

Palmer J.A., Kesar T.M., Wolf S.L., & Borich M.R. (2020). Cortical motor network flexibility during lower limb motor activity and deficiencies after stroke.

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