Numerical Design of Experiment for Sensitivity Analysis—Application to Skin Burn Injury Prediction

Autrique, Laurent; Lormel, C.

doi:10.1109/tbme.2008.918427

Cited by 22 publications

(20 citation statements)

References 11 publications

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“…1) is sensitive to values of the model coefficients, A and E a [25,28]. To date, the thermal damage coefficients for human septal cartilage have not been measured.…”

Section: Discussionmentioning

confidence: 99%

Viability of human septal cartilage after 1.45 µm diode laser irradiation

et al. 2008

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Background and Objectives Chondrocyte viability following laser irradiation and reshaping has not been established for human nasal septal cartilage. Knowledge of the relationship between thermal injury and laser dosimetry is needed in order to optimize septal laser cartilage reshaping. The objective of this study was to determine the depth and width of thermal injury in human septal cartilage following laser irradiation. Study Design/Materials and Methods Excess fresh nasal septal cartilage sections from rhinoplasty or septoplasty operations were irradiated using a 1.45 μm diode laser 1.25–3.6 W (2.8 mm spot diameter) with 1 second fixed exposure time, and then at exposure times of 1–4 seconds for a fixed power of 1.25 W. An infrared camera recorded surface temperature profiles during irradiation, and the temperature data were incorporated into a rate process model to numerically estimate thermal damage. Calcein AM and ethidium homodimer-1 fluorescent dyes combined with confocal laser microscopy (CLM) were used to measure thermal damage. Results CLM demonstrated clear demarcation between dead and living cells following irradiation. The extent of non-viable chondrocyte distributions increased with power and exposure time. The maximum depths of injury were 1,012 and 1,372 μm after 3.6 W 1 second and 1.25 W 4 seconds irradiation respectively. The damage predictions made by the rate process model underestimated thermal injury when compared with CLM measurements. Conclusions The assay system identified regions of non-viable chondrocytes in human septal cartilage and defined how thermal injury varies with dosimetry when using a 1.45 μm diode laser.

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“…1) is sensitive to values of the model coefficients, A and E a [25,28]. To date, the thermal damage coefficients for human septal cartilage have not been measured.…”

Section: Discussionmentioning

confidence: 99%

Viability of human septal cartilage after 1.45 µm diode laser irradiation

et al. 2008

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“…Then, a linear regression model was used to determine the musculotendon sensitivity to joint motion. This method of using sensitivity analysis to assess the model performance is adapted from the formulas of Rump et al [ 30 ], and while it has not yet been widely applied in the field of biomechanics, it has been a useful procedure in several other scientific fields, such as automotive injury prediction [ 31 – 35 ].…”

Section: Methodsmentioning

confidence: 99%

Assessment of a markerless motion analysis system for manual wheelchair application

Rammer

Slavens

Krzak

et al. 2018

J NeuroEngineering Rehabil

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BackgroundWheelchair biomechanics research advances accessibility and clinical care for manual wheelchair users. Standardized outcome assessments are vital tools for tracking progress, but there is a strong need for more quantitative methods. A system offering kinematic, quantitative detection, with the ease of use of a standardized outcome assessment, would be optimal for repeated, longitudinal assessment of manual wheelchair users’ therapeutic progress, but has yet to be offered.ResultsThis work evaluates a markerless motion analysis system for manual wheelchair mobility in clinical, community, and home settings. This system includes Microsoft® Kinect® 2.0 sensors, OpenSim musculoskeletal modeling, and an automated detection, processing, and training interface. The system is designed to be cost-effective, easily used by caregivers, and capable of detecting key kinematic metrics involved in manual wheelchair propulsion. The primary technical advancements in this research are the software components necessary to detect and process the upper extremity kinematics during manual wheelchair propulsion, along with integration of the components into a complete system. The study defines and evaluates an adaptable systems methodology for processing kinematic data using motion capture technology and open-source musculoskeletal models to assess wheelchair propulsion pattern and biomechanics, and characterizes its accuracy, sensitivity and repeatability. Inter-trial repeatability of spatiotemporal parameters, joint range of motion, and musculotendon excursion were all found to be significantly correlated (p < 0.05).ConclusionsThe system is recommended for use in clinical settings for frequent wheelchair propulsion assessment, provided the limitations in precision are considered. The motion capture-model software bridge methodology could be applied in the future to any motion-capture system or specific application, broadening access to detailed kinematics while reducing assessment time and cost.

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“…DOE using Taguchi method can help researchers significantly reduce the time required for experimental or simulation investigations. L16 (2 15 ) was used by Qi et al [12] to analyze the sensitivity of a middle ear finite-element model from nine parameters whereas L8 (2 4 ) was used by Trabelsi et al [13] to study the influence of four control factors and their interactions on Vero cell growth in vaccine production and L12 (2 11 ) was applied on a Skin Burn Injury Prediction model from 11 control factors by Autrique and Lormel [14]. In our studies, L8 (2 7 ) was used to analyze the effects of three control factors namely, infra-renal inlet velocity PSV (PSVin), iliac to aortic area ratios (R) and aortoiliac bifurcation angles(α); and their two-way interactions on PSVmax in a human aortoiliac bifurcation.…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

“…The outputs from the planning were used as inputs to the design namely, The Taguchi L8 (2 7 ) OA satisfies the minimum required number of simulations based on the DOF criterion [24]. The assignment of two levels for each of the three control factors based on references [14,17,23] and is as summarized in Table A.2. A total of 7 control factors with two levels each can be assigned to the L8 (2 7 ) OA.…”

Section: Designmentioning

confidence: 99%

Blood flow velocity prediction in aorto-iliac stent grafts using computational fluid dynamics and Taguchi method

Chong

Doyle

Jansen

et al. 2017

Computers in Biology and Medicine

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Covered Endovascular Reconstruction of Aortic Bifurcation (CERAB) is a new technique to treat extensive aortoiliac occlusive disease with covered expandable stent grafts to rebuild the aortoiliac bifurcation. Post stenting Doppler ultrasound (DUS) measurement of maximum peak systolic velocity (PSV) in the stented segment is widely used to determine patency and for follow up surveillance due to the portability, affordability and ease of use. Anecdotally, changes in hemodynamics created by CERAB can lead to falsely high PSV requiring CT angiography (CTA) for further assessment. Therefore, the importance of DUS would be enhanced with a proposed PSV prediction tool to ascertain whether PSV falls within the acceptable range of prediction. We have developed a prediction tool based on idealized models of aortoiliac bifurcations with various infra-renal PSV (PSV), iliac to aortic area ratios (R) and aortoiliac bifurcation angles (α). Taguchi method with orthogonal arrays (OA) was utilized to minimize the number of Computational Fluid Dynamics (CFD) simulations performed under physiologically realistic conditions. Analysis of Variance (ANOVA) and Multiple Linear Regression (MLR) analyses were performed to assess Goodness of fit and to predict PSV PSV and R were found to contribute 94.06% and 3.36% respectively to PSV. The Goodness of fit based on adjusted R improved from 99.1% to 99.9% based on linear and exponential functions. The PSV predictor based on the exponential model was evaluated with sixteen patient specific cases with a mean prediction error of 9.9% and standard deviation of 6.4%. Eleven out of sixteen cases (69%) in our current retrospective studies would have avoided CTA if the proposed predictor was used to screen out DUS measured PSV with prediction error greater than 15%. The predictor therefore has the potential to be used as a clinical tool to detect PSV more accurately post aortoiliac stenting and might reduce diagnostic errors and avoid unnecessary expense and risk from CTA follow-up imaging.

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Numerical Design of Experiment for Sensitivity Analysis—Application to Skin Burn Injury Prediction

Cited by 22 publications

References 11 publications

Viability of human septal cartilage after 1.45 µm diode laser irradiation

Viability of human septal cartilage after 1.45 µm diode laser irradiation

Assessment of a markerless motion analysis system for manual wheelchair application

Blood flow velocity prediction in aorto-iliac stent grafts using computational fluid dynamics and Taguchi method

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