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Journal Articles
Alec Werning, Daniel Umbarila, Maxwell Fite, Sinta Fergus, Jianyu Zhang, Gregory F. Molnar, Luke A. Johnson, Jing Wang, Jerrold L. Vitek, David Escobar Sanabria
Journal:
Journal of Medical Devices
Article Type: Research-Article
J. Med. Devices. December 2022, 16(4): 041004.
Paper No: MED-21-1244
Published Online: July 1, 2022
Journal Articles
Journal:
Journal of Medical Devices
Article Type: Research-Article
J. Med. Devices. December 2022, 16(4): 041003.
Paper No: MED-21-1134
Published Online: July 1, 2022
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 1 Schematic of subject's arm with robotic system. The robot was used to perturb the subject's arm using a high-torque motor and measure the reaction torque applied by the arm. More
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 2 ( a ) Block diagram illustrating the implementation of the admittance controller. Torque measurements are fed back to generate the velocity commanded to the actuator. ( b ) Free body diagram illustrating the rotational dynamics of the robot, arm, and admittance controller ( c ) block diagra... More
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 3 ( a ) Bode plot of combined admittance control and approximated arm dynamics with the highest bandwidth. The transfer function used for the approximation is described in Appendix A. ( b ) Power spectral density of PRBS perturbation signal that confirms the frequency content in the band of i... More
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in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 4 ( a ) PRBS signal used during experiments. ( b ) Torque measured during an experiment in the OFF condition together with the estimated torque, which was computed based on the estimated model parameters. The estimated torque was calculated as the inertia, viscosity, and stiffness estimates m... More
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 5 ( a ) mUPDRS scores corrected using the LME model. The LME model corrects for the individual examiner bias and variance. ( b ) Angular impulse scores for each condition. ( c ) Work scores for each condition. More
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 6 ( a ) Changes in the impulse score following a percentage change in the viscous damping or stiffness parameter. The nominal inertia, viscous damping, and stiffness used in this analysis were equal to the median estimates of these parameters. The values of these parameters are ( J p ... More
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in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 7 Torque versus angular position trajectories when sinusoidal perturbation is applied to the position commanded to the robot More
Image
in Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 8 ( a ) Median and interquartile ranges of the inertia estimates in each condition. These estimates were found through the least squares approach. No significant differences in the inertia estimates were found between conditions. ( b ) Median and interquartile ranges of the viscous damping es... More
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in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 1 ( a )–( c ) Typical geometry of cryo-containers ( a ) SPL Life Science Co., Ltd., ( b ) Woosung Cryotech Co., Ltd., ( c ) Thermo Scientific. Co. Ltd., ( d ) Temperature change with time in ( c ) stored inside VN2 tank, ( e ) and ( f ) designs of cryo-container proposed in this paper, ( e ) ... More
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in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 2 5 × 5 storage container model 1 to be examined More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 3 9 × 9 storage container model 2 to be examined More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 4 ( a ) Contact condition, ( b ) boundary condition, and ( c ) load condition for thermal analysis of cryo-container More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 5 Equivalent stress distribution for each model More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 6 Schematic of the inside of the vapor-type tank for the calculation of the inlet flow velocity during flow analysis More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 7 Example of flow analysis modeling and boundary condition setting for storage containers More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 8 Inlet setting for the 5 × 5 and 9 × 9 storage containers (marked in cyan) More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 9 Flow trends of nitrogen gas inside the storage containers in the cryogenic steady-state More
Image
in Comparison of Temperature Equilibrium Rate and Cell Growth/Viability Under Air Circulation in Cryogenic Storage Container
> Journal of Medical Devices
Published Online: July 1, 2022
Fig. 10 Fabrication of cryogenic storage container prototypes ( a ) the Injection mold and product for fabricating 5 × 5_final and ( b ) the Injection mold and product for fabricating 9 × 9_final More