A cadaver knee simulator to evaluate the biomechanics of rectus femoris transfer

Anderson, Michael C.; Brown, Nicholas; Bachus, Kent N.; MacWilliams, Bruce A.

doi:10.1016/j.gaitpost.2009.03.007

Cited by 7 publications

(8 citation statements)

References 32 publications

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“…This paper has divided the foot into 4 parts: rear-foot composed of calcaneus and talus, mid-foot composed of navicular, cuneiforms, cuboid, fore-mid foot consisted of first to fifth metatarsal, fore-foot composed of phalanges. Tibia and fibula were connected with rear-foot using a spherical joint while the connections between rear-foot and mid-foot, mid-foot and fore-mid foot, fore-mid foot and fore-foot were all rotational joints [23]. The defined three-dimensional model was as shown in the Fig.1.…”

Section: Multi-segment Foot Model Validationmentioning

confidence: 99%

Biomechanical Analysis of Achilles Tendon Stretch And Plantar Fascia Stretch In Plantar Fasciitis Treatment

Hu¹,

Wang²,

Yang³

et al. 2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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Abstract. This paper aims to simulate two stretching methods adopted in plantar fasciitis treatment in MSC.ADAMS, Achilles tendon stretch and plantar fascia stretch. Clinical evidence has been accumulated that stretching is effective in relieving heel pain caused by plantar fasciitis. While plantar fascia stretching is conceived to be more effective than the traditional Achilles tendon stretch, the reason leading to this difference has not been identified yet. A multi-segment foot model consisted of ligaments, plantar fascia, plantar soft tissue was constructed and then validated by comparing the ground reaction forces and joint rotation angles obtained in a gait simulation with previous research results. The model was then applied in finding out the root cause in these two stretching methods by analysing the deformation of plantar fascia. Achilles tendon stretch was performed to collect kinematic data of tibia using NDI, which was used to drive the simulation. In the plantar fascia stretch, a rotational plate was placed beneath the fore-foot and had a range of motion from 0° to 20°. The forefoot was supported and lifted to simulate the stretching process. Deformation of the plantar fascia under two stretching methods were compared. The result shows that average deformation in Achilles tendon is smaller than that of plantar fascia stretch which may cause the therapeutic difference between these two stretch methods. This analysis method could also be applied in refining physical therapy treatment.

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Section: Multi-segment Foot Model Validationmentioning

confidence: 99%

Biomechanical Analysis of Achilles Tendon Stretch And Plantar Fascia Stretch In Plantar Fasciitis Treatment

Hu¹,

Wang²,

Yang³

et al. 2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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show abstract

“…Tendon actuation and computer control ensure that collected data represents in vivo joint behavior. JMSs have been developed for many joints: elbows [2]- [4], wrists/hands [5], [6], shoulders [7]- [11], feet/ankles [12]- [17], and knees [18]- [22]. JMS experiments often entail tracking prescribed joint angle profiles, applying prescribed tendon tension profiles, or combinations of both.…”

Section: Introductionmentioning

confidence: 99%

Pole/Zero Design of Agonist/Antagonist Actuation

Schimoler

Vipperman

Miller

2018

IEEE Trans. Contr. Syst. Technol.

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Objective: This brief analyzes the open-loop dynamics of coupled (dedicated) and decoupled tendon tension control methods in an agonist/antagonist (AA) actuator pair, a fundamental control unit used in orthopedic testbeds known as joint motion simulators (JMSs). Methods: A linear mathematical model of an AA actuator pair is derived. Transfer functions from tendon tension control signal to tendon tension and joint position are derived. Sources of key dynamics are explained. Results: The system's dynamic model shows that both the dedicated and decoupled approaches have a low-frequency pole pair, a low-frequency zero pair, and a mid-range zero pair. A frequency domain identification of the flexion/extension axis of an existing elbow JMS validates the locations of these dynamics. The interaction between tendon tension control and joint position is shown to be controllable in decoupled control, but not in dedicated control. The bandwidth reduction due to the lowfrequency pole pair and low-frequency zero pair are shown to be controllable in decoupled control, but not in dedicated control. Conclusion: Decoupled control is superior to dedicated control for AA actuator pairs in JMS designs because it reduces actuator interaction and has a larger tension control bandwidth. Significance: This analysis describes the sources of the dynamics seen in the open-loop frequency response of both methods and shows the superiority of the decoupled method in tension control bandwidth and in lack of interactions with position control.

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“…Numerous robotic simulators [13][14][15][16][17][18][19][20][21] have been developed to replicate the complexity of in vivo joint biomechanics. Many simulations are static or quasi-static [13][14][15]19,22], but some have applied time-varying kinetics and kinematics to more accurately apply physiological loading conditions [16][17][18]20,21,23,24]. The physiological accuracy of in vitro testing is dependent upon numerous factors.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, musculotendon force control varies tremendously between existing in vitro simulators: nonexistent musculotendon loading [14,15,17,19,21,22], grouped knee flexor and extensor musculotendon loading [16,20,24], and individual musculotendon force control [13,18,25]. Since each individual musculotendon crossing a specific joint uniquely contributes to its stability and therefore internal loading condition [26], grouping individual muscle forces or failing to represent muscle forces altogether can negatively influence the joint kinematics and introduce measurement errors regarding contact forces, ligament strains, and relative joint movement.…”

Section: Introductionmentioning

confidence: 99%

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A Reconfigurable Multiplanar In Vitro Simulator for Real-Time Absolute Motion With External and Musculotendon Forces

Green

Hale

Hausselle

et al. 2017

Journal of Biomechanical Engineering

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Advancements in computational musculoskeletal biomechanics are constrained by a lack of experimental measurement under real-time physiological loading conditions. This paper presents the design, configuration, capabilities, accuracy, and repeatability of The University of Texas at El Paso Joint Load Simulator (UTJLS) by testing four cadaver knee specimens with 47 real-time tests including heel and toe squat maneuvers with and without musculotendon forces. The UTJLS is a musculoskeletal simulator consisting of two robotic manipulators and eight musculotendon actuators. Sensors include eight tension load cells, two force/torque systems, nine absolute encoders, and eight incremental encoders. A custom control system determines command output for position, force, and hybrid control and collects data at 2000 Hz. Controller configuration performed forward-dynamic control for all knee degrees-of-freedom (DOFs) except knee flexion. Actuator placement and specimen potting techniques uniquely replicate muscle paths. Accuracy and repeatability standard deviations across specimen during squat simulations were equal or less than 8 N and 5 N for musculotendon actuators, 30 N and 13 N for ground reaction forces (GRFs), and 4.4 N·m and 1.9 N·m for ground reaction moments. The UTJLS is the first of its design type. Controller flexibility and physical design support axis constraints to match traditional testing rigs, absolute motion, and synchronous real-time simulation of multiplanar kinematics, GRFs, and musculotendon forces. System DOFs, range of motion, and speed support future testing of faster maneuvers, various joints, and kinetic chains of two connected joints.

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A cadaver knee simulator to evaluate the biomechanics of rectus femoris transfer

Cited by 7 publications

References 32 publications

Biomechanical Analysis of Achilles Tendon Stretch And Plantar Fascia Stretch In Plantar Fasciitis Treatment

Biomechanical Analysis of Achilles Tendon Stretch And Plantar Fascia Stretch In Plantar Fasciitis Treatment

Pole/Zero Design of Agonist/Antagonist Actuation

A Reconfigurable Multiplanar In Vitro Simulator for Real-Time Absolute Motion With External and Musculotendon Forces

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