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Добірка наукової літератури з теми "Computer model of implant"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Computer model of implant"

1

WILLIAMS, N. W., J. M. T. PENROSE, and D. R. HOSE. "Computer Model Analysis of the Swanson and Sutter Metacarpophalangeal Joint Implants." Journal of Hand Surgery 25, no. 2 (April 2000): 212–20. http://dx.doi.org/10.1054/jhsb.1999.0352.

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A representative model which mimics the behaviour of Silastic® finger metacarpophalangeal joint implants was constructed using a finite element software package. The modelled implants were moved through a range of flexion, lateral deviation and a combination of both. Pistoning of both implants stems occurred within the modelled medullary cavities. For equivalent flexion angles, the Sutter implant produced a higher stress field than the Swanson implant, and the field was positioned at the central hinge mechanism. In both implants, lateral deviation increased the internal stress concentrations more than when pure flexion was applied. Overall the Swanson style of implant had lower stress magnitudes than the Sutter implant, and it is predicted that the Sutter implant will be more likely to fail than the Swanson. The failure mode for the Sutter implant would be at the central hinge region. The Swanson implant is likely to fail at the central hinge-stem interface regions.
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2

Tonetto, Mateus Rodrigues, Matheus Coelho Bandéca, Vinicius Ibiapina Mascarenhas, Lívia Jacovassi Tavares, and Lara Maria Ferreira Mendes. "The use of Computer Guided Implant Surgery in Oral Rehabilitation: A Literature Review." World Journal of Dentistry 5, no. 1 (2014): 60–63. http://dx.doi.org/10.5005/jp-journals-10015-1259.

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ABSTRACT The virtual planning of dental implants is a technology that brings many benefits to practitioners and patients who undergo a prosthetic rehabilitation. The cone beam computed tomography (CBCT) produces high-resolution images allowing to implant a breakthrough in preoperative planning, making planning more accurate. The virtually guided surgery is a surgery planned based computers in a 3D anatomical model of the patient and transferred to the surgical procedure through guides built especially for this purpose. The objective of this study is to report the current concepts in the literature on virtually guided surgery, emphasizing its applicability, indications and benefits in prosthetic rehabilitation with dental implants. Thus, it was concluded that the technique of guided surgery represents an advance in the field of implantology significantly decreasing errors, bringing good results postoperative and increasing predictability of the results, one technique suitable for various cases. How to cite this article Mascarenhas VI, de Molon RS, Tavares LJ, Mendes LMF, Tonetto MR, Bandeca MC. The use of Computer Guided Implant Surgery in Oral Rehabilitation: A Literature Review. World J Dent 2014;5(1):60-63.
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Edelmann, Cornelia, Martin Wetzel, Anne Knipper, Ralph G. Luthardt, and Sigmar Schnutenhaus. "Accuracy of Computer-Assisted Dynamic Navigation in Implant Placement with a Fully Digital Approach: A Prospective Clinical Trial." Journal of Clinical Medicine 10, no. 9 (April 21, 2021): 1808. http://dx.doi.org/10.3390/jcm10091808.

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Background: This prospective clinical study aimed to investigate a possible deviation between the digitally planned implant position and the position achieved using dynamic navigation. The aim of the study was to establish clinical effectiveness and precision of implantation using dynamic navigation. Methods: Twenty consecutive patients received an implant (iSy-Implantat, Camlog, Wimsheim, Germany). One screw implant was placed in one jaw with remaining dentition of at least six teeth. The workflow was fully digital. Digital implant planning was conducted using cone-beam computed tomography (CBCT) and an intraoral scan of the actual condition. Twenty implants were subsequently placed using a dynamic computer-assisted procedure. The clinical situation of the implant position was recorded using an intraoral scan. Using these data, models were produced via 3D printing, and CBCTs of these models were made using laboratory analogs. Deviations of the achieved implant position from the planned position were determined using evaluation software. Results: The evaluation of 20 implants resulted in a mean angle deviation of 2.7° (95% CI 2.2–3.3°). The 3D deviation at the implant shoulder was 1.83 mm (95% CI 1.34–2.33 mm). No significant differences were found for any of the parameters between the implantation in the upper or lower jaw and an open or flapless procedure (p-value < 0.05). Conclusion: The clinical trial showed that sufficiently precise implantation was possible with the dynamic navigation system used here. Dynamic navigation can improve the quality of implant positioning. In particular, the procedure allows safe positioning of the implants in minimally invasive procedures, which usually cannot be performed freehand in this form. A clinical benefit and effectiveness can be determined from the results.
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Lee, Jungwon, Young-Jun Lim, Bongju Kim, and Ki-Tae Koo. "Early Loading of Mandibular Molar Single Implants: 1 Year Results of a Randomized Controlled Clinical Trial." Materials 13, no. 18 (September 4, 2020): 3912. http://dx.doi.org/10.3390/ma13183912.

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The purpose of this study was to compare the implant survival, peri-implant marginal bone level, and peri-implant soft tissue of three different types of implants. This was performed with an early loading protocol, using a complete digital workflow, for one year of follow-up. Twenty-four patients with a single missing tooth in the mandibular posterior region were randomly assigned to the control group (SLActive Bone level implant; Institut Straumann AG, Basel, Switzerland), experiment group 1 (CMI IS-III Active implant; Neobiotech Co., Seoul, Korea), and experiment group 2 (CMI IS-III HActive implant; Neobiotech Co., Seoul, Korea). For each patient, a single implant was installed using the surgical template, and all prostheses were fabricated using a computer-aided design/computer-aided manufacturing system on a 3-dimensional model. A provisional prosthesis was implanted at 4 weeks, and a definitive monolithic zirconia prosthesis was substituted 12 weeks following the implant placement. The implant stability quotient (ISQ) and peri-implant soft tissue parameters were measured, and periapical radiographs were taken at 1, 3, 4, 8, 12, 24, 36, and 48 weeks after implant placements. Seven implants in the control group, nine implants in the experiment 1 group, and eight implants in the experiment 2 group were analyzed. There were no significant differences among the three groups in terms of insertion torque, ISQ values between surgery and 8 weeks of follow-up, marginal bone loss at 48 weeks of follow-up, and peri-implant soft tissue parameters (P > 0.05). Statistically significant differences in ISQ values were observed between the control and experiment 1 groups, and the control and experiment 2 groups at the 12 to 48 weeks’ follow-ups. Within the limits of this prospective study, an early loading protocol can be applied as a predictable treatment modality in posterior mandibular single missing restorations, achieving proper primary stability.
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5

Schnutenhaus, Sigmar, Anne Knipper, Martin Wetzel, Cornelia Edelmann, and Ralph Luthardt. "Accuracy of Computer-Assisted Dynamic Navigation as a Function of Different Intraoral Reference Systems: An In Vitro Study." International Journal of Environmental Research and Public Health 18, no. 6 (March 21, 2021): 3244. http://dx.doi.org/10.3390/ijerph18063244.

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The aim of this in vitro study was to determine whether the process chain influences the accuracy of a computer-assisted dynamic navigation procedure. Four different data integration workflows using cone-beam computed tomography (CBCT), conventional impressions, and intraoral digitization with and without reference markers were analyzed. Digital implant planning was conducted using data from the CBCT scans and 3D data of the oral models. The restoration of the free end of the lower jaw was simulated. Fifteen models were each implanted with two new teeth for each process chain. The models were then scanned with scan bodies screwed onto the implants. The deviations between the planned and achieved implant positions were determined. The evaluation of all 120 implants resulted in a mean angular deviation of 2.88 ± 2.03°. The mean 3D deviation at the implant shoulder was 1.53 ± 0.70 mm. No significant differences were found between the implant regions. In contrast, the workflow showed significant differences in various parameters. The position of the reference marker affected the accuracy of the implant position. The in vitro examination showed that precise implantation is possible with the dynamic navigation system used in this study. The results are of the same order of magnitude that can be achieved using static navigation methods. Clinical studies are yet to confirm the results of this study.
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6

Liu, Yun-Ting, and Han-Yi Cheng. "Development of Effects on Chewing with Mandibular Fixed Dental Bridges with Implants via Finite Element Method." Journal of Biomaterials and Tissue Engineering 10, no. 8 (August 1, 2020): 1071–76. http://dx.doi.org/10.1166/jbt.2020.2380.

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The aim of the present research was to evaluate the biomechanics of dental bridge with and without implant. Oral models were reconstructed by 3D computer tomography images to simulate oral environment. The stress is an important role in dental bridge applications for osseointegration. Many studies have investigated finite element researches for dental implants; however, few have evaluated a model for dental bridge with and without implant. The results revealed that abnormal focusing stress was found when dental bridge was used with implant. Moreover, the unbalance situation was found on the model with only one implant, the highest stress appeared in the present group. Dental bridge with implants would be an effective means of recovering dental performance. However, the present study showed that if only one pier with dental implant in bridge treatment has a potential to increase abnormal stress, and uniformly distributing stress.
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7

Baek, Yeon-Wha, Young-Jun Lim, Jungwon Lee, Ki-Tae Koo, Myung-Joo Kim, and Ho-Beom Kwon. "One-Year Results of a Randomized Controlled Clinical Trial of Immediately Loaded Short Implants Placed in the Lower Posterior Single Molar Using a Complete Digital Workflow." Applied Sciences 9, no. 7 (March 27, 2019): 1282. http://dx.doi.org/10.3390/app9071282.

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The purpose of this randomized clinical trial is to evaluate immediately loaded single implants with varying lengths in the posterior mandible using a fully digital, model-free prosthetic-driven implant planning pathway, and to compare clinical and radiological outcomes of short and long implants. The 52 patients with the single tooth missing in the posterior molar regions of the mandible were randomly assigned to the control (CMI IS-III active® long implant; 5.0 × 10 mm) and experimental (CMI IS-III active® short implant; 5.5 × 6.6, 7.3, 8.5 mm) groups. For each patient, a single implant was placed using the computer aided surgical template and all prostheses were fabricated by means of computer-aided design/computer-aided manufacturing (CAD/CAM) system on the virtual model. The patients received provisional and definitive monolithic zirconia prostheses at 1 week and 12 weeks after implant surgery, respectively. The implant stability quotient (ISQ) measurements and periapical radiographs were taken and peri-implant parameters were evaluated at 1, 3, 4, 8, 12, 24, 36, and 48 weeks after surgery. Nineteen long implants and 27 short implants were finally used for the statistical analysis. There was no significant difference between the groups in terms of insertion torque, ISQ values (except 3 weeks), marginal bone loss, and peri-implant soft tissue parameters (p > 0.05). Both groups exhibited no stability dip during the early phase of healing. The average marginal bone loss from the baseline of implant placement for the control and experimental groups was −0.07 and 0.03 mm after 12 weeks and 0.06 and 0.05 mm after 48 weeks. All of the soft tissue parameters were within normal limits. Within the limits of the short term follow up, immediate loading of short single implants can be considered as one of predictable treatment modality in mandible with reduced bone height when primary stability can be achieved.
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Huang, Wan-Ting, and Han-Yi Cheng. "Finite Element Analysis of Stress in Dental Bridge with Implant." Journal of Biomaterials and Tissue Engineering 10, no. 6 (June 1, 2020): 743–48. http://dx.doi.org/10.1166/jbt.2020.2338.

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Анотація:
The objective of this research was to investigate dental bridges with and without implants. Threedimensional (3D) mandible models were reconstructed by computer tomography (CT) to simulate biting behaviors. The dental implant is an important factor in dental bridge applications. Several studies have investigated finite element models for dental implants; however, few have examined a model for dental bridge with implant. The results revealed that stress was significantly increased when dental bridge was used with implant. Moreover, the dental bridge with implant group demonstrated a relatively big stress in mandible, which was 4.01% lower compared with that of the control group. Dental bridge would be an effective means of recovering dental performance. However, the present research stated that the implant of dental bridge has a potential to increase abnormal stress, and uniformly distributing stress in the dental bridges.
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9

Emery, Robert W., Scott A. Merritt, Kathryn Lank, and Jason D. Gibbs. "Accuracy of Dynamic Navigation for Dental Implant Placement–Model-Based Evaluation." Journal of Oral Implantology 42, no. 5 (October 1, 2016): 399–405. http://dx.doi.org/10.1563/aaid-joi-d-16-00025.

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The purpose of this model-based study was to determine the accuracy of placing dental implants using a new dynamic navigation system. This investigation focuses on measurements of overall accuracy for implant placement relative to the virtual plan in both dentate and edentulous models, and provides a comparison with a meta-analysis of values reported in the literature for comparable static guidance, dynamic guidance, and freehand placement studies. This study involves 1 surgeon experienced with dynamic navigation placing implants in models under clinical simulation using a dynamic navigation system (X-Guide, X-Nav Technologies, LLC, Lansdale, Pa) based on optical triangulation tracking. Virtual implants were placed into planned sites using the navigation system computer. Post–implant placement cone-beam scans were taken. These scans were mesh overlaid with the virtual plan and used to determine deviations from the virtual plan. The primary outcome variables were platform and angular deviations comparing the actual placement to the virtual plan. The angular accuracy of implants delivered using the tested device was 0.89° ± 0.35° for dentate case types and 1.26° ± 0.66° for edentulous case types, measured relative to the preoperative implant plan. Three-dimensional positional accuracy was 0.38 ± 0.21 mm for dentate and 0.56 ± 0.17 mm for edentulous, measured from the implant apex.
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10

Yi, Hee-Gyeong, Yeong-Jin Choi, Jin Woo Jung, Jinah Jang, Tae-Ha Song, Suhun Chae, Minjun Ahn, Tae Hyun Choi, Jong-Won Rhie, and Dong-Woo Cho. "Three-dimensional printing of a patient-specific engineered nasal cartilage for augmentative rhinoplasty." Journal of Tissue Engineering 10 (January 2019): 204173141882479. http://dx.doi.org/10.1177/2041731418824797.

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Autologous cartilages or synthetic nasal implants have been utilized in augmentative rhinoplasty to reconstruct the nasal shape for therapeutic and cosmetic purposes. Autologous cartilage is considered to be an ideal graft, but has drawbacks, such as limited cartilage source, requirements of additional surgery for obtaining autologous cartilage, and donor site morbidity. In contrast, synthetic nasal implants are abundantly available but have low biocompatibility than the autologous cartilages. Moreover, the currently used nasal cartilage grafts involve additional reshaping processes, by meticulous manual carving during surgery to fit the diverse nose shape of each patient. The final shapes of the manually tailored implants are highly dependent on the surgeons’ proficiency and often result in patient dissatisfaction and even undesired separation of the implant. This study describes a new process of rhinoplasty, which integrates three-dimensional printing and tissue engineering approaches. We established a serial procedure based on computer-aided design to generate a three-dimensional model of customized nasal implant, and the model was fabricated through three-dimensional printing. An engineered nasal cartilage implant was generated by injecting cartilage-derived hydrogel containing human adipose-derived stem cells into the implant containing the octahedral interior architecture. We observed remarkable expression levels of chondrogenic markers from the human adipose-derived stem cells grown in the engineered nasal cartilage with the cartilage-derived hydrogel. In addition, the engineered nasal cartilage, which was implanted into mouse subcutaneous region, exhibited maintenance of the exquisite shape and structure, and striking formation of the cartilaginous tissues for 12 weeks. We expect that the developed process, which combines computer-aided design, three-dimensional printing, and tissue-derived hydrogel, would be beneficial in generating implants of other types of tissue.
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Більше джерел

Дисертації з теми "Computer model of implant"

1

Whiten, Darren M. (Darren Mark) 1977. "Threshold predictions based on an electro-anatomical model of the cochlear implant." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87847.

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Thesis (S.M. and Elec.E.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 135-141).
by Darren M. Whiten.
S.M.and Elec.E.
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2

Kidgell, Victoria L. "Computational multi-scale simulation of implant for bone fracture repair." Thesis, Swansea University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678323.

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3

Шамраєва, О. О. "Методи та засоби побудови комп’ютерних моделей черепних імплантатів за томографічними та рентгенографічними даними". Thesis, ХНУРЕ, 2009. http://openarchive.nure.ua/handle/document/11423.

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Дисертаційна робота присвячена розробці методів і засобів автоматизованої побудови моделі черепного імплантату та підвищенню точності планування нейрохірургічних операцій щодо реконструкції дефектів черепа. У роботі проведено огляд існуючих методів і засобів для побудови черепних імплантатів. Розглянуто основні методи обробки інтроскопічних зображень. Розроблено комплексний підхід до обробки томографічних і рентенографічних зображень голови пацієнта. Розроблено методи автоматизованої побудови об’ємних комп'ютерних моделей ЧІ за КТ- і РГ-даними з використанням 3D-моделі черепа пацієнта та усередненої моделі черепа. Розроблено метод автоматизованого визначення геометричних характеристик ЧІ, що дозволяє хірургу визначити оптимальний оперативний доступ. Розроблено медико-технічні вимоги до нейрохірургічного комплексу, призначеного для одержання вихідних даних, їхньої обробки й виготовлення речовинної копії імплантату. Проведено порівняльний аналіз отриманих результатів побудови моделей ЧІ із вже існуючими. Результати аналізу показали ефективність розроблених методів. Dissertation work considers the development of methods and facilities of the automatized construction of cranial implant model and the increase of procision of planning of neuro-surgical operative interferences for the reconstruction of cranial defects. The review of existent methods and facilities for the construction of cranial implants is provided. The basic methods of processing of introscopy images are considered. The complex approach is developed for treatment of patient’s head tomography and X-ray images. Methods of the automatized construction of three-dimensional computer models of cranial implant are developed on a base of tomography and X-ray data with the use of 3Dmodel of patient’s cranium and cranium average model. The method of the automatized determination of geometrical descriptions of cranial implant allowing a surgeon to define optimum operative access is developed. The basic medical-technical specifications are developed to neuro-surgical complex intended for the basic data obtaining, their treatment and making of implant material copy. The comparative analysis of the obtained results of models of cranial implants construction and already existing one is conducted. The results of analysis showed efficiency of the developed methods.
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4

Javůrek, Jan. "Využití 3D počítačové grafiky pro aplikace v medicíně." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-236895.

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5

Feldt, Christian E. "Stress shielding minimized in femoral hip implants a finite element model optimized by virtual compatibility." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4892.

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Bone mechanics and traditional implant materials produce a recurring problem for patients of total hip arthroplasty (THA): the bone is "shielded" from the loading it has become accustomed to over many years of development. Bone adheres to what is called "Wolff's Law", meaning it is an adaptive structure which adjusts its geometry based on the loads experienced over its life (Pearson; Goldstein). As the new femoral hip implant transmits reduced stresses to the remaining bone, bone tissue atrophies at the interface, permitting loosening of the implant, pain, and thereby obliging additional surgery to correct the issue (Meade). In the present work, a methodology is endeavored for creating an innovative design for femoral hip implants. The approach uncouples the finite element implant model from the bone model, in order to focus solely on expected behavior within the implant while considering the varying material behavior in unique directions and locations. The implant's internal geometry is optimized in order to better match typical, intact bone conditions. The eventual design reduces extreme changes in stresses within remnant bone such that the implant will remain implanted for greater periods of time without additional surgical attention.
ID: 030423147; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 86-91).
Ph.D.
Doctorate
Mechanical, Materials, and Aerospace Engineering
Engineering and Computer Science
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6

Baker, Michael W. (Michael Warren) 1977. "A low-power cochlear implant system." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40494.

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Анотація:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 171-179).
Cochlear implants, or bionic ears, restore hearing to the profoundly deaf by bypassing missing inner-ear hair cells in the cochlea and electrically stimulating the auditory nerve. For miniaturized cochlear implants, including behind-the-ear (BTE) models, power consumption is the chief factor in determining cost and patient convenience. This thesis reports on the design of a low-power bionic ear system by addressing three critical signal and power processing subsystems in low-cost CMOS ICs. First, the design of a low-power current-mode front-end for subminiature microphones demonstrates 78dB dynamic range performance with attention to RF noise and supply immunity. Second, hearing-impaired patients need strategies that decide intelligently between listening conditions in speech or noise. This work describes an automatic gain control (AGC) design which uses programmable hybrid analog-digital current-mode feedback to implement a dual-loop strategy, a well-known algorithm for speech in noisy environments. The AGC exhibits level-invariant. stability, programmable time constants and consumes less than 36pW. Third, a feedback-loop technique is explored for analyzing and designing RF power links for transcutaneous bionic ear systems.
(cont.) Using feedback tools to minimize algebraic manipulations, this work demonstrates conditions for optimal voltage and power transfer functions. This theory is applied to a bionic implant system designed for load power consumptions in the 1mW - 10mW range, a low-power regime not significantly explored in prior designs. Link efficiencies of 74% and 54% at 1-mm and 10-mm coil separations, respectively, are measured, in good agreement with theoretical predictions. A full cochlear implant system with signal and power processing is explored incorporating the front-end, AGC, and RF power link, as well as analog signal processing channels. This design uses channel data to feedforward program the just-needed electrode power level. My implant system consumes 3mW of power for all audio processing and a stimulation power of 1mW. A fixed-power version of this system dissipates 2.2mW for 1mW of internal stimulation power. As many commercial systems with similar specifications consume 40mW - 80mW, this effort promises a significant reduction in cochlear implant power consumption and cost.
by Michael W. Baker.
Ph.D.
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7

Isaksson, Anders, and Michael Graham. "RoDent : Robotic Dentistry : Computer aided dental implant positioning system." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1559.

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A study was carried in conjunction with the Orthodontic department at Halmstad General Hospital in Sweden to investigate the possibility of reducing cost and manufacture time of dental implant drill guides.

The current system involves sending a digital image in STL format to the Materialise factory in Belgium where information of the position of dental implants is translated onto a moulded mouthpiece. Drill guides are placed in the mouth piece which is then returned to the surgeon. The mouthpiece complete with drill guides is then placed in the patients mouth and used as a guide for the implant drill holes. The cost of 10000 sek and a turnaround time of 2 weeks gave rise to the need for a faster and cheaper solution.

A new mouthpiece was designed comprising of a solid cube which could be clearly seen on the x-ray. Linearisation of the cube faces is used to find a reference point from which to drive a 5 axis drilling platform. The mouthpiece is placed in the drill platform which is driven by stepper motors which in turn are controlled by a microcontroller. Co-ordinates are entered via a PC interface. The PC software then translates these co-ordinates into motor steps which are sent to the microcontroller. The drill platform then positions the mouthpiece in order to drill guide holes for the dental implants.

The study showed that the machine design gave an acceptable degree of accuracy and repeatability. Further enhancements could be made by automating the detection of the cube using image analysis techniques. The study was also limited by the lack of graphical and geometrical data concerning the position of the implant. For the purpose of this study the co-ordinates for the implants guides is entered by hand.

It was concluded that further software and hardware enhancement would be needed before the application could be developed commercially.

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8

Kumar, Vivek. "IMPLANT ANNEALING OF SiC IN A SILANE AMBIENT." MSSTATE, 2001. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04102001-151957/.

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The goal of this research project was to develop a new implant annealing process using silane overpressure to maintain crystal integrity. After ion implantation the surface of the SiC wafer is damaged due to high energy of the implant ions. In addition the doping activation is very low. To overcome these problems a new implant annealing process was developed to rectify the surface damage and increase the dopant activation. SiC implant annealing was performed in the silicon carbide (SiC) chemical vapor deposition (CVD) reactor in the Emerging Materials Research Laboratory (EMRL) at Mississippi State University. A process was developed to eliminate surface step bunching, which is evident in argon annealed crystals. The process gas used in the new technique was silane (3 % SiH4 in 97% UHP Ar). The anneal run time was 30 minutes with argon flow rate at 6 slm and silane flow rate at 6 sccm. SiC material (n and p type epitaxial layers) and devices (JBS Diodes and LDMOSFET?s) were annealed using the silane over pressure developed during this research. The process results were characterized using tools such as optical micrograph, capacitance-voltage (C-V), Atomic force microscopy (AFM) and X-ray photoelectron spectroscopy (XPS). These characterization tools were mainly used to determine the surface roughness of the SiC crystal and the dopant activation after annealing. As compared to an Ar anneal, the SiC material and devices annealed in the silane ambient had a better surface. An empirical process chemistry model was developed to support the experimental results. The model developed showed that the partial pressure of Si is greater than the vapor pressure of SiC in the substrate. Thus it is believed that the partial pressure of Si suppressed any Si out-diffusion from the SiC substrate, thereby maintaining the crystal surface integrity. The model also provided silane flow rates for higher temperature anneals which may be necessary to fully activate other ion species.
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9

Van, Zyl Joe. "Objective determination of vowel intelligibility of a cochlear implant model." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-03082009-174318/.

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10

Jackson, Lekisha S. (Lekisha Shaylae) 1976. "Changes in speech with modifications in stimulation from a cochlear implant." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/46229.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (leaf 60).
by Lekisha S. Jackson.
S.B.and M.Eng.
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Книги з теми "Computer model of implant"

1

Ferguson, Samuel W. Rotorwash computer model - user's guide. Washington, D. C: Federal Aviation Administration, 1991.

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2

Environmental Studies Revolving Funds (Canada). Oil in ice computer model. S.l: s.n, 1985.

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Schuster, R. CAD I drafting model. Berlin: Springer-Verlag, 1990.

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Schuster, R. CAD*I drafting model. Berlin: Springer-Verlag, 1990.

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5

1976-, Lamm Jesko G., Roth Stephan 1968-, and Walker Markus 1965-, eds. Model-based system architecture. Hoboken, New Jersey: John Wiley & Sons, Inc., 2015.

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6

Armstrong, T. W. Trapped radiation model uncertainties: Model, data and model, model comparisons. MSFC, Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 2000.

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Bergé, Jean-Michel. Model Generation in Electronic Design. Boston, MA: Springer US, 1995.

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8

Vockell, Edward L. Model programs for instruction. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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9

Butler, Kenneth M. Assessing Fault Model and Test Quality. Boston, MA: Springer US, 1992.

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10

Pierce, Byron J. Computer menu task performance model development. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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Частини книг з теми "Computer model of implant"

1

Cano, Sandra, Victor Peñeñory, César Collazos, Habib M. Fardoun, and Daniyal M. Alghazzawi. "Model for Design of Serious Game for Rehabilitation in Children with Cochlear Implant." In Communications in Computer and Information Science, 94–105. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69694-2_9.

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2

Noble, Jack H., René H. Gifford, Robert F. Labadie, and Benoît M. Dawant. "Statistical Shape Model Segmentation and Frequency Mapping of Cochlear Implant Stimulation Targets in CT." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 421–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33418-4_52.

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3

Burckhardt, Kathrin, and Gábor Székely. "XIMIT – X-Ray Migration Measurement Using Implant Models and Image Templates." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000, 1195–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-40899-4_128.

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4

Beyeler, Michael, Geoffrey M. Boynton, Ione Fine, and Ariel Rokem. "Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants." In Lecture Notes in Computer Science, 394–402. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32254-0_44.

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5

Huq, M. A., Mohsin Iftikhar, and Naveen Chilamkurti. "Behavior of IEEE 802.15.4 Channel Models on Implant Body Area Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 251–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60717-7_25.

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6

Müller, Oliver, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, and Bodo Rosenhahn. "Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants." In Lecture Notes in Computer Science, 454–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23626-6_56.

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7

Grbic, Sasa, Tommaso Mansi, Razvan Ionasec, Ingmar Voigt, Helene Houle, Matthias John, Max Schoebinger, Nassir Navab, and Dorin Comaniciu. "Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 395–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40763-5_49.

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8

Miao, Shun, Rui Liao, Joseph Lucas, and Christophe Chefd’hotel. "Toward Accurate and Robust 2-D/3-D Registration of Implant Models to Single-Plane Fluoroscopy." In Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 97–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40843-4_11.

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9

Galindo, Daniel F., and Caesar C. Butura. "Immediate Loading of Dental Implants in the Esthetic Region Using Computer-Guided Implant Treatment Software and Stereolithographic Models for a Patient with Eating Disorders." In Journal of Prosthodontics on Dental Implants, 45–51. Hoboken, New Jersey: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119115397.ch07.

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10

Weik, Martin H. "implant." In Computer Science and Communications Dictionary, 755. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8693.

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Тези доповідей конференцій з теми "Computer model of implant"

1

Gómez Pérez, Carlos A., Hugo I. Medellín-Castillo, and Raquel Espinosa-Castañeda. "Computer Assisted Design and Structural Topology Optimization of Customized Craniofacial Implants." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72219.

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Modern design and manufacturing engineering technologies have greatly improved the way in which modern craniofacial implants are designed and fabricated. However, few efforts have been made in order to optimize their design. While the weight of polymer-based implants (e.g. PMMA implants) may not affect the patient’s comfort, the higher weight of metal-based implants (e.g. titanium implants), could greatly affect the patient’s comfort, causing in some cases nuisances and imbalance problems. Thus, the optimization of the implant becomes relevant in order to guarantee its structural stiffness but with a reduced weight. In this paper, the design and structural optimization of customized craniofacial implants based on the use of modern engineering technologies is presented. The aim is to introduce an engineering methodology for the design and optimization of customized craniofacial implants. The methodology starts from the patient’s medical images, obtained from a computerized tomography (CT), which are processed to reconstruct the digital 3D model. Next, the geometrical design of the implant is carried out in a computer aided design (CAD) system using the patient’s 3D model. Then, the structural analysis of the implant is performed using the Finite Element Method (FEM) and considering a quasi-static load. The topology optimization of the implant is made using the Solid Isotropic Material Penalization (SIMP) method. Finally, the optimized customized implant is fabricated in an additive manufacturing (AM) system. A case study of a craniofacial implant is presented and the results reveal that the proposed methodology is an effective approach to design and optimize craniofacial implants.
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2

Jaecques, Siegfried V. N., Els De Smet, Luiza Muraru, John A. Jansen, Martine Wevers, Jos Vander Sloten, and Ignace E. Naert. "Peri-Implant Bone Adaptation Under Dynamic Mechanical Stimulation: The Guinea Pig Model." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58582.

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The present work is part of a larger project to analyse adaptive bone remodelling around implants that receive controlled mechanical stimulation immediately post-operatively. Percutaneous implants in the tibiae of guinea pigs are used as an implant model [1]. For evaluation, microfocus computed tomography (μCT) can be used to complement or partially substitute conventional histology [2]. In the studied model implant system, μCT-based histomorphometry can be used as a substitute for histology in regions at a distance of more than 1000 μm from the titanium implant. Within this limitation, a significant effect of mechanical stimulation can be observed also under in vivo μCT conditions. The optimally osteogenic stimulus in the studied model should cause a strain rate amplitude of 1600 microstrain/s or less in the cortical bone at a distance of 2.3 mm from the implant centre. Future work will include a detailed study of strains in the peri-implant bone with in vivo micro CT-based finite element models.
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3

Leu, Ming C., and Amit Gawate. "Computer Aided Design of Implant Based Dental Restorations." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59241.

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Implant based dental restorations have many advantages over standard removable dentures because using implants can prevent the loss of jawbones, help restore facial features, and enable the patients to get firm bites. A critical step in this kind of restorations is the fabrication of the dental bar on which the denture sits. A dental bar is patient-specific because each patient’s jawbone is unique and the device needs to be conforming to the patient’s gingival surface. The design of a dental bar is crucial to the success of dental restorations. Traditionally, designing a dental bar is a lengthy and laborious process and requires high levels of craftsmanship. There have been attempts to develop CAD/CAM systems towards automating design and fabrication of dental restorations. However, currently available commercial CAD/CAM systems are only capable of making crowns, bridges, copings, onlays and veneers, and they are not capable of making dental restorations involving multiple teeth. The present paper describes a method for computer aided design of a dental bar used in implant based dental restorations. The method starts with a set of digital scan data representing the patient’s gingival surface and generates a CAD model of a dental bar that is ready for fabrication of a physical dental bar.
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4

Dodgen, Eric R., Larry Howell, and Anton Bowden. "Spinal Implant With Adjustable and Nonlinear Stiffness." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47913.

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The human spine is a complex mechanism composed of both passive and active components. The nonlinear stiffness of the passive components provides mechanical stability to the system. There is a need for spinal implants that have nonlinear stiffness to provide this stabilization if the spine loses stiffness through injury, degeneration, or surgery. There is also a need for spinal implants to be customizable for individual needs. This paper proposes contact-aided inserts to be used with the FlexSuRe™ spinal implant to create a nonlinear stiffness. Moreover, different inserts can be used to create different behaviors. To show this effect an elliptical contact surface is considered and the inserts are varied by changing the semi-major axis of the elliptical section. An analytical model is introduced for insert design, and the model is verified by comparing the models force-deflection profiles to a finite element model and tests of physical prototypes. The models and experiments demonstrate that it is feasible to create a spinal implant that has a nonlinear stiffness, and that different inserts can be used with the base implant to customize the behavior for individual needs. The analytical model developed is a tool available for implant design.
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5

Khandaker, Morshed, Sadegh Nikfarjam, Karim Kari, Onur Can Kalay, Fatih Karpat, Helga Progri, Ariful Bhuiyan, Erik Clary, and Amgad Haleem. "Laser Microgrooving and Nanofiber Membrane Application for Total Knee Replacement Implants Using a Caprine Model." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-73597.

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Abstract Aseptic loosening is a well-recognized phenomenon in cementless total knee replacement (TKR) and often carries severe consequences for the patient. We recently developed and tested in vitro a novel strategy for enhancing osseointegration and acute mechanical stability of orthopedic implants that employ laser-induced microgroove (LIM) and nanofiber membrane (NFM) applications at the bone-implant interface. We report herein investigation of the approach with results from a pilot study employing three skeletally mature female Spanish cross goats (∼4y, 35–45kg) receiving cementless TKR with a commercially available implant system (Biomedrix® Canine Total Knee). Pre-operative radiographs were taken to ensure limb normality and to select the appropriately sized implants for each goat. With the animal under general anesthesia and the limb properly prepped for aseptic surgery, the stifle was approached, and osteotomies of the proximal tibia and distal femur performed in preparation for implantation of the tibial (TT) and femoral (FT) trays. For one goat, the arthroplasty implant surfaces were unaltered from the manufacturer’s mirror-polished (MP) condition. For the other two goats, the TT bone-contact surface was laser-micro grooved (150 μm depth, 200 μm width, 200 μm spacing) prior to sterilization and then implanted with (LIM/NFM) or without (LIM) an intermediate (surface-applied) polycaprolactone (PCL) nanofiber mesh (50 × 50mm, electrospun, aligned, unidirectional, 10 μm thickness). Following surgery, animals received appropriate analgesic therapy and rehabilitative care to maximize animal comfort, function, and quality of life while limiting the risk of major complications. Post-operative monitoring included assessment of mentation, vital signs, pain level, digestive function (weight, appetite, rumen contractions, feed intake, fecal output), and limb status (usage, range of motion, muscular volume). By the study’s end (12 wks), all animals had recovered a pre-surgery range of motion in the operated knee and exhibited typical bony changes on radiographic follow-up. At necropsy following humane euthanasia, no gross instability of TKR components was observed. Histomorphometric analysis of explanted bone-TT constructs showed the increased new bone surface area in the LIM-NFM sample (0.49 mm2) compared with the MP sample (0.03 mm2), suggesting that microgrooves and/or PCL nanofiber coating may improve the clinical performance of the implant. A finite element analysis (FEA) model was developed to explore the impact of surface micro grooving to the mechanical stimuli at the bone-implant interface to supplement the in vivo studies. The three-dimensional geometry of the tibia was scanned using computed tomography and imported into a proprietary (MIMICS®) software to construct the solid models for finite element micro-strain analyses.
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6

Sego, T. J., Yung-Ting Hsu, Tien-Min Gabriel Chu, and Andres Tovar. "Towards the Optimal Crown-to-Implant Ratio in Dental Implants." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67889.

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Short dental implants are commonly recommended to be implemented with small crown-to-implant (C/I) ratios due to their mechanical stability — decreasing C/I ratios cause less deformation in skeletal tissue under occlusal force. However, the long-term stability of short implants with high C/I ratios remains a controversial issue due to biomechanical complications. This study evaluates the strain distribution and functional implications in an implant-supported crown with various C/I ratios using a high-fidelity, nonlinear finite-element model. Several clinical scenarios are simulated by loading implants with various implant lengths (IL) and crown heights (CH). Strain distribution and maximum equivalent strain are analyzed to evaluate the effects and significance of CH, IL, and the C/I ratio. The study shows underloading for certain implant configurations with high C/I ratio. Increasing IL and decreasing C/I in moderation demonstrates a positive effect in long-term stability.
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7

Kar, Debashis, and David M. Saylor. "A Diffuse Interface Model to Simulate Electrochemical Response of Medical Implant Materials." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16020.

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The purpose of the present work is to model corrosion of implant materials (such as nitinol or stainless steel) in simulated environments both under static and dynamic conditions. The present model seeks to imitate the potentiodynamic testing protocol defined as in ASTM F2129, which is used to evaluate the corrosion susceptibility of small implant devices. The model is currently limited to one dimension and hence the effect of physical features, such as defects and crevices, on corrosion is not the focus of this study.
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8

Stratton, Eric, Larry Howell, and Anton Bowden. "Force-Displacement Model of the FlexSuRe™ Spinal Implant." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28476.

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This paper presents modeling of a novel compliant spinal implant designed to reduce back pain and restore function to degenerate spinal disc tissues as well as provide a mechanical environment conducive to healing of the tissues. Modeling was done through the use of the pseudo-rigid-body model. The pseudo-rigid-body model is a 3 DOF mechanism for flexion-extension (forward-backward bending) and a 5 DOF mechanism for lateral bending (side-to-side). These models were analyzed using the principle of virtual work to obtain the force-deflection response of the device. The model showed good correlation to finite element analysis and experimental results. The implant may be particularly useful in the early phases of implant design and when designing for particular biological parameters.
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9

Müller, Jacobus H. "Simulating Instrumented Knee Implant Forces With a Simplified Computational Model." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14444.

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A simplified computational model is presented with which axial knee implant forces can be estimated. The dataset provided in the IV Grand Challenge to Predict in-vivo Knee Loads [1] is used to assemble a musculoskeletal model, and perform an inverse dynamics analysis. The joint and muscle dynamics recorded during the inverse analysis is then used as target values during a forward dynamics analysis to compute the axial tibiofemoral load.
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10

Lin, Lin, Jon Barker, and Guy J. Brown. "The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model." In Interspeech 2015. ISCA: ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-364.

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Звіти організацій з теми "Computer model of implant"

1

Seymour Katz. Cupola Furnace Computer Process Model. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/859885.

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2

Andrews, J. W., and J. J. Strasser. Hydronic distribution system computer model. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/93523.

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3

Seitter, Keith L., Frank P. Colby, and Jr. Super-Micro Computer Weather Prediction Model. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada216329.

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4

Pich, J. J., and S. S. Leroy. Earth Model Selection for Computer Simulations. Fort Belvoir, VA: Defense Technical Information Center, December 1989. http://dx.doi.org/10.21236/ada216843.

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5

Shinmyouzu, Kouhei. Conceptual model to optimize implant positioning in edentulous mandible treated with an over denture; A case series preliminary report. Science Repository, April 2019. http://dx.doi.org/10.31487/j.dobcr.2019.02.01.

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6

Grossman, G., and M. Wilk. Enhanced absorption cycle computer model. Final report. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10191717.

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Collins, Joseph. Analytical Blast Model Formulation With Computer Code. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada367214.

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8

Jerrell, J. W. Revisions to the hydrogen gas generation computer model. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10156465.

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Eileen P. Poeter and Mary C. Hill. MMA, A Computer Code for Multi-Model Analysis. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/920086.

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Jerrell, J. W. Revisions to the hydrogen gas generation computer model. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/6760254.

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