An algorithm for accurate needle orientation

Yang, Yifan; Ahmed, Amr; Yue, Shigang; Xie, Xiang; Chen, Hong; Wang, Zhihua

doi:10.1109/embc.2016.7591873

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…As estimated to independently recognize the unexpected situation as well as to realize the suitable algorithms. 20 Therefore, there is a suddenly rising need for studying how to control the force in the area of modern robots used for surgeries in the current situation, in particular for force manages. Force control shows a most important role in the improvement of high-performance robotic coordination for the duration of the needle insertion process.…”

Section: Aim Of the Studymentioning

confidence: 99%

Study of the surgical needle and biological soft tissue interaction phenomenon during insertion process for medical application: A Survey

Barua

Datta

Roychowdhury

et al. 2022

Proc Inst Mech Eng H

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The insertion of the surgical needle in soft tissue has involved significant interest in the current time because of its purpose in minimally invasive surgery (MIS) and percutaneous events like biopsies, PCNL, and brachytherapy. This study represents a review of the existing condition of investigation on insertion of a surgical needle in biological living soft tissue material. As observes the issue from numerous phases, like, analysis of the cutting forces modeling (insertion), tissue material deformation, analysis of the needle deflection for the period of the needle insertion, and the robot-controlled insertion procedures. All analysis confirms that the total needle insertion force is the total of dissimilar forces spread sideways the shaft of the insertion needle for example cutting force, stiffness force, and frictional force. Various investigations have analyzed all these kinds of forces during the needle insertion process. The force data in several measures are applied for recognizing the biological tissue materials as the needle is penetrated or for path planning. The deflection of the needle during insertion and tissue material deformation is the main trouble for defined needle placing and efforts have been prepared to model them. Applying existing models numerous insertion methods are established that are discussed in this review.

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Section: Aim Of the Studymentioning

confidence: 99%

Study of the surgical needle and biological soft tissue interaction phenomenon during insertion process for medical application: A Survey

Barua

Datta

Roychowdhury

et al. 2022

Proc Inst Mech Eng H

View full text Add to dashboard Cite

show abstract

“…15 Computer based system is proposed to insert a needle in correct position during biopsy and other treatment. 16 NB, ANN, DT algorithms are used to predict the heart related disease. 17 Association rules can also used to predict the risk of diseases.Frequent itemsets are applied to predict the heart disease risk by considering the various symptoms.…”

Section: Related Workmentioning

confidence: 99%

Data mining approach for accelerating the classification accuracy of cardiotocography

Potharaju

Sreedevi

Ande

et al. 2019

Clinical Epidemiology and Global Health

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The objective of current study is to increase the classification accuracy of learning algorithms over cardiotocography data by applying preprocessing technique. Due to the diversity of sources, large amount of data is being generated and also has various problems including mislabeled data, missing values, noise, high dimensionality and imbalanced class labels. Method: In this study, we suggested a technique to handle imbalanced data to increase the classification performance of various lazy learners, rule based induction models and tree based models. We used Symmetric Minority Over Sampling Technique (SMOTE) on real dataset to accelerate the performance of various classifiers. We identified that primary dataset is suffering with imbalanced problem, which means the most of the records belong to same class label. Prediction of imbalanced data is biased towards the class with majority instances. To overcome this problem, dataset has to be balanced. Results: As a result of the suggested method the performance of classification algorithms are increased. The obtained result show that majority of classification techniques performed better over balanced dataset when compared with imbalanced dataset. Conclusion: Classification performance over balanced dataset has recorded improved performance than imbalanced dataset after applying the SMOTE.

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An algorithm for accurate needle orientation

Cited by 2 publications

References 10 publications

Study of the surgical needle and biological soft tissue interaction phenomenon during insertion process for medical application: A Survey

Study of the surgical needle and biological soft tissue interaction phenomenon during insertion process for medical application: A Survey

Data mining approach for accelerating the classification accuracy of cardiotocography

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