Breakthrough detection for orthopedic bone drilling via power spectral density estimation of acoustic emission

Torun, Yunis; Öztürk, Ahmet; Hatipoglu, Nursu; Öztemür, Zekeriya

doi:10.1109/ebbt.2018.8391464

Cited by 7 publications

(9 citation statements)

References 22 publications

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“…Acceleration sensing methods performed by Dai et al ( 47 , 48 ) tackled tissue classification during robotic bone drilling to make conclusions about material density. Several studies proposed to capture acoustic signals during surgical drilling and milling using free-field microphones ( 49 , 53 , 54 ), condenser microphones ( 50 ), contact microphones ( 51 ), and sound recorders ( 55 ). A more complex solution was proposed by Dai et al ( 56 ), in which the authors combined a free-field microphone with an accelerometer.…”

Section: Resultsmentioning

confidence: 99%

“…Surgeons also use their auditory perception to discern the distance between surgical tools and target anatomy. Inspired by this idea are microphone-based acoustic sensing approaches (49)(50)(51)(52)(53)(54)(55)(56) used in bone drilling and milling.…”

Section: Clinical Applicationmentioning

confidence: 99%

“…[10] performed similar research with the same sensor but trained a backpropagation neural network for bone layer identification that reached an accuracy of 84%. In [12], [13], authors analyzed the sequential frequency change in spectrograms to detect the starting point of every new drilling state. The breakthrough detection algorithm monitored the mean and median frequency in the signal.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review

Massalimova

Timmermans²,

Esfandiari³

et al. 2022

Front. Surg.

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Accurate tissue differentiation during orthopedic and neurological surgeries is critical, given that such surgeries involve operations on or in the vicinity of vital neurovascular structures and erroneous surgical maneuvers can lead to surgical complications. By now, the number of emerging technologies tackling the problem of intraoperative tissue classification methods is increasing. Therefore, this systematic review paper intends to give a general overview of existing technologies. The review was done based on the PRISMA principle and two databases: PubMed and IEEE Xplore. The screening process resulted in 60 full-text papers. The general characteristics of the methodology from extracted papers included data processing pipeline, machine learning methods if applicable, types of tissues that can be identified with them, phantom used to conduct the experiment, and evaluation results. This paper can be useful in identifying the problems in the current status of the state-of-the-art intraoperative tissue classification methods and designing new enhanced techniques.

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Section: Resultsmentioning

confidence: 99%

Section: Clinical Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review

Massalimova

Timmermans²,

Esfandiari³

et al. 2022

Front. Surg.

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show abstract

“…Eight studies from the research group of Dai et al analysed the measurements during bone milling to recognise the tissue that is being milled [33][34][35][36][37][38][39][40]. Six studies did the same for drilling pilot holes for pedicle screw placement (PSP), drilling during laminectomy and during cervical discectomy [19,20,[41][42][43][44][45]. In one study, measurements were performed during the cutting of large pieces of the vertebra such as the spinous process [46].…”

Section: Related Surgical Actionmentioning

confidence: 99%

State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review

Timmermans,

Massalimova,

et al. 2023

Sensors

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In the research field of robotic spine surgery, there is a big upcoming momentum for surgeon-like autonomous behaviour and surgical accuracy in robotics which goes beyond the standard engineering notions such as geometric precision. The objective of this review is to present an overview of the state of the art in non-visual, non-radiative spine sensing for the enhancement of surgical techniques in robotic automation. It provides a vantage point that facilitates experimentation and guides new research projects to what has not been investigated or integrated in surgical robotics. Studies were identified, selected and processed according to the PRISMA guidelines. Relevant study characteristics that were searched for include the sensor type and measured feature, the surgical action, the tested sample, the method for data analysis and the system’s accuracy of state identification. The 6DOF f/t sensor, the microphone and the electromyography probe were the most commonly used sensors in each category, respectively. The performance of the electromyography probe is unsatisfactory in terms of preventing nerve damage as it can only signal after the nerve is disturbed. Feature thresholding and artificial neural networks were the most common decision algorithms for state identification. The fusion of different sensor data in the decision algorithm improved the accuracy of state identification.

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“…One of these approaches is the Computer Assisted Orthopedic Surgery approach in orthopedic surgery operations, which is based on the combination of medical imaging, skeletalmuscular system and the positioning of the surgical instrument in 3D space, and semi-robotic systems [12]. The second approach is the studies to integrate breakthrough detection sensors as force, vibration, acoustic, and torque sensors into the existing orthopedic drills [13][14][15][16][17]. Due to the cost-effectiveness of robotic and imaging systems, as well as the mounting and cost disadvantages of various sensors integrated into orthopedic drills, there has been a third approach for estimating tissue changes during drilling with real-time system dynamics analysis in recent years.…”

Section: Introductionmentioning

confidence: 99%

Ortopedik Matkaplar İçin Bozucu Gözlemci Tabanlı Kemik Doku Değişim Tahmin Yaklaşımı Benzetimi

Torun

2022

Türk Doğa Ve Fen Dergisi

Self Cite

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Orthopedic drills are currently used for various operations in surgical fields such as orthopedics, ear, nose, and throat surgery. The path that orthopedic drills travel through the tissue is controlled manually by surgeons, and manual control leads to the risk of damaging areas such as nerves and tissues. In our study, an innovative approach is presented against existing drill designs and breakthrough detection problems. In the proposed model, the change in the load torque and the change in friction force caused by the tissue change in the drilling path are considered as a disturbance effect, and a disturbance observer has been developed that allows these disturbances to be observed. Observation of the disturbance effects allows the perception of the hardness of tissue change during drilling since it gives the change of load torque changes and friction coefficient, which cannot be measured under normal operation. The performance of the proposed approach has been proven by simulation study.

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Breakthrough detection for orthopedic bone drilling via power spectral density estimation of acoustic emission

Cited by 7 publications

References 22 publications

Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review

Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review

State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review

Ortopedik Matkaplar İçin Bozucu Gözlemci Tabanlı Kemik Doku Değişim Tahmin Yaklaşımı Benzetimi

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