Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Rodrigues, Pedro Luiz Coelho; Rodrigues, Nélson; Pinho, António C. M.; Fonseca, Jaime C.; Correia‐Pinto, Jorge; Vilaça, João L.

doi:10.1016/j.medengphy.2014.06.020

Cited by 8 publications

(4 citation statements)

References 22 publications

(20 reference statements)

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“…This method has also been demonstrated to perform nonlinear modeling of TCM syndromes. [ 23 , 24 ] This study will continue efforts to implement it in the quantitative diagnosis of TCM syndromes in PSD in order to standardize the syndrome classification of PSD.…”

Section: Discussionmentioning

confidence: 99%

Study on quantitative diagnosis model of TCM syndromes of post-stroke depression based on combination of disease and syndrome

Yang

Zhao

et al. 2021

Medicine

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Background: Post-stroke depression (PSD) is one of the most common stroke complications with high morbidity. Researchers have done much clinical research on Traditional Chinese Medicine (TCM) treatment, but very little research on diagnosis. Based on the thought of combination of disease and syndrome, this study will establish a unified and objective quantitative diagnosis model of TCM syndromes of PSD, so as to improve the clinical diagnosis and treatment of PSD. Objective: First: To establish a unified and objective quantitative diagnosis model of TCM syndromes in PSD under different disease courses, and identify the corresponding main, secondary, and concurrent symptoms, which are based on the weighting factor of each TCM symptom. Second: To find out the relationship between different stages of PSD and TCM syndromes. Clarify the main syndrome types of PSD under different stages of disease. Reveal the evolution and progression mechanism of TCM syndromes of PSD. Methods and analysis: This is a retrospective study of PSD TCM diagnosis. Three hundred patients who were hospitalized in the First Teaching Hospital of Tianjin University of TCM with complete cases from January 2014 to January 2019 are planned to be recruited. The study will mainly collect the diagnostic information from the cases, find the related indicators of TCM and Western medicine in PSD, and clarify the relationship between different disease stages and TCM syndromes. Finally, the PSD TCM syndrome quantitative diagnosis model will be established based on the operation principle of Back Propagation (BP) artificial neural network. Conclusion: To collect sufficient medical records and establish models to speed up the process of TCM diagnosis.

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Section: Discussionmentioning

confidence: 99%

Study on quantitative diagnosis model of TCM syndromes of post-stroke depression based on combination of disease and syndrome

Yang

Zhao

et al. 2021

Medicine

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“…Subsequently, it carries out a finite element modelling in order to simulate and identify the best chest access for the insertion of the bar. To perform customized modelling of the bar without subjecting the patient to ionizing radiation with CT, (Rodrigues et al , 2014) proposed an artificial neural network network to estimate the position of the ribs from the external profile of the thorax, which is obtainable with optical instruments. Zhao et al (2014) offered the design of a bar based on an estimated model of the costal cartilages that is based on the use of statistical models; the correction device was designed and developed based on such a model.…”

Section: Reverse Engineering and Additive Manufacturing-based Innovat...mentioning

confidence: 99%

Assessment and treatment of pectus deformities: a review of reverse engineering and 3D printing techniques

Mussi

Servi

Facchini

et al. 2022

RPJ

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Purpose Among thoracic malformations, pectus deformities have the highest incidence and can result in a wide range of severe and mild clinical manifestations. Recently, the treatment of pectus deformities is shifting from traditional approaches toward customized solutions. This occurs by leveraging innovative rapid prototyping tools that allow for the design and fabrication of patient-specific treatments and medical devices. This paper aims to provide a comprehensive view of the growing literature in this area to analyze the progress made in this direction. Design/methodology/approach The search was performed on major search engines through keywords inherent to reverse engineering (RE) and additive manufacturing (AM) technologies applied to pectus deformities and related treatments, selecting 54 papers. These were analyzed according to the addressed pathology, the hardware and software tools used and/or implemented and their integration within the clinical pathway. Findings First, the analysis led to analyze and divide the papers according to how RE and AM technologies are applied for surgical and non-surgical treatments, pathological assessment and preoperative simulation and planning. Second, all papers were considered within the typical rapid prototyping framework consisting of the three phases of three-dimensional (3D) scanning, 3D modelling and 3D printing. Originality/value To the best of the authors’ knowledge, to date, no survey has provided a comprehensive view of innovative and personalized treatment strategies for thoracic malformations; the present work fills this gap, allowing researchers in this field to have access to the most promising findings on the treatment and evaluation of pathology.

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“…BP algorithm is widely used in ANN, and this type of ANN has been applied to many areas successfully, such as traffic noise prediction, 20,21 landslide susceptibility mapping, 22 and medical research. 23 If E.E 0 , we can obtain the value of incremental joint angles (du c1 , du c2 , du c3 , du d4 , du c5 , du c6 ) using BP algorithm…”

Section: Bpmentioning

confidence: 99%

Autonomous path planning solution for industrial robot manipulator using backpropagation algorithm

Yuan

Shi

et al. 2015

Advances in Mechanical Engineering

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Here, we propose an autonomous path planning solution using backpropagation algorithm. The mechanism of movement used by humans in controlling their arms is analyzed and then applied to control a robot manipulator. Autonomous path planning solution is a numerical method. The model of industrial robot manipulator used in this article is a KUKA KR 210 R2700 EXTRA robot. In order to show the performance of the autonomous path planning solution, an experiment validation of path tracking is provided. Experiment validation consists of implementation of the autonomous path planning solution and the control of physical robot. The process of converging to target solution is provided. The mean absolute error of position for tool center point is also analyzed. Comparison between autonomous path planning solution and the numerical methods based on Newton-Raphson algorithm is provided to demonstrate the efficiency and accuracy of the autonomous path planning solution.

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Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Cited by 8 publications

References 22 publications

Study on quantitative diagnosis model of TCM syndromes of post-stroke depression based on combination of disease and syndrome

Study on quantitative diagnosis model of TCM syndromes of post-stroke depression based on combination of disease and syndrome

Assessment and treatment of pectus deformities: a review of reverse engineering and 3D printing techniques

Autonomous path planning solution for industrial robot manipulator using backpropagation algorithm

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