LAN Based HF Radio Simulator An Approach to Develop an Early Prototype for Lo...YogeshIJTSRD
Communication is considered one of the most decisive factors in winning a battle. That’s why every nation is very well focused to enhance its communication facilities. Various online resources, government publications, administrative census were consulted as primary and secondary data sources. This simulator based proto type software will facilitate the use of HF Radio equipment to have vigorous practice and necessary test and trial without deploying the Radio sets on the ground and lessen the wear and tear as well. Md Rajib "LAN Based HF Radio Simulator: An Approach to Develop an Early Prototype for Long-Distance Radio Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45034.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/45034/lan-based-hf-radio-simulator-an-approach-to-develop-an-early-prototype-for-longdistance-radio-communication/md-rajib
Comparative analysis of augmented datasets performances of age invariant face...journalBEEI
The popularity of face recognition systems has increased due to their non-invasive method of image acquisition, thus boasting the widespread applications. Face ageing is one major factor that influences the performance of face recognition algorithms. In this study, the authors present a comparative study of the two most accepted and experimented face ageing datasets (FG-Net and morph II). These datasets were used to simulate age invariant face recognition (AIFR) models. Four types of noises were added to the two face ageing datasets at the preprocessing stage. The addition of noise at the preprocessing stage served as a data augmentation technique that increased the number of sample images available for deep convolutional neural network (DCNN) experimentation, improved the proposed AIFR model and the trait aging features extraction process. The proposed AIFR models are developed with the pre-trained Inception-ResNet-v2 deep convolutional neural network architecture. On testing and comparing the models, the results revealed that FG-Net is more efficient over Morph with an accuracy of 0.15%, loss function of 71%, mean square error (MSE) of 39% and mean absolute error (MAE) of -0.63%.
Automatic Query Expansion Using Word Embedding Based on Fuzzy Graph Connectiv...YogeshIJTSRD
The aim of information retrieval systems is to retrieve relevant information according to the query provided. The queries are often vague and uncertain. Thus, to improve the system, we propose an Automatic Query Expansion technique, to expand the query by adding new terms to the user s initial query so as to minimize query mismatch and thereby improving retrieval performance. Most of the existing techniques for expanding queries do not take into account the degree of semantic relationship among words. In this paper, the query is expanded by exploring terms which are semantically similar to the initial query terms as well as considering the degree of relationship, that is, “fuzzy membership- between them. The terms which seemed most relevant are used in expanded query and improve the information retrieval process. The experiments conducted on the queries set show that the proposed Automatic query expansion approach gave a higher precision, recall, and F measure then non fuzzy edge weights. Tarun Goyal | Ms. Shalini Bhadola | Ms. Kirti Bhatia "Automatic Query Expansion Using Word Embedding Based on Fuzzy Graph Connectivity Measures" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45074.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/45074/automatic-query-expansion-using-word-embedding-based-on-fuzzy-graph-connectivity-measures/tarun-goyal
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...ijaia
In the era of the fourth industrial revolution, measuring and ensuring the reliability, efficiency and safety of the industrial systems and components are one of the uppermost key concern. In addition, predicting performance degradation or remaining useful life (RUL) of an equipment over time based on its historical sensor data enables companies to greatly reduce their maintenance cost. In this way, companies can prevent costly unexpected breakdown and become more profitable and competitive in the marketplace. This paper introduces a deep learning-based method by combining CNN(Convolutional Neural Networks) and LSTM (Long Short-Term Memory)neural networks to predict RUL for industrial equipment. The proposed method does not depend upon any degradation trend assumptions and it can learn complex temporal representative and distinguishing patterns in the sensor data. In order to evaluate the efficiency and effectiveness of the proposed method, we evaluated it on two different experiment: RUL estimation and predicting the status of the IoT devices in 2-week period. Experiments are conducted on a publicly available NASA’s turbo fan-engine dataset. Based on the experiment results, the deep learning-based approach achieved high prediction accuracy. Moreover, the results show that the method outperforms standard well-accepted machine learning algorithms and accomplishes competitive performance when compared to the state-of-the art methods
LAN Based HF Radio Simulator An Approach to Develop an Early Prototype for Lo...YogeshIJTSRD
Communication is considered one of the most decisive factors in winning a battle. That’s why every nation is very well focused to enhance its communication facilities. Various online resources, government publications, administrative census were consulted as primary and secondary data sources. This simulator based proto type software will facilitate the use of HF Radio equipment to have vigorous practice and necessary test and trial without deploying the Radio sets on the ground and lessen the wear and tear as well. Md Rajib "LAN Based HF Radio Simulator: An Approach to Develop an Early Prototype for Long-Distance Radio Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45034.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/45034/lan-based-hf-radio-simulator-an-approach-to-develop-an-early-prototype-for-longdistance-radio-communication/md-rajib
Comparative analysis of augmented datasets performances of age invariant face...journalBEEI
The popularity of face recognition systems has increased due to their non-invasive method of image acquisition, thus boasting the widespread applications. Face ageing is one major factor that influences the performance of face recognition algorithms. In this study, the authors present a comparative study of the two most accepted and experimented face ageing datasets (FG-Net and morph II). These datasets were used to simulate age invariant face recognition (AIFR) models. Four types of noises were added to the two face ageing datasets at the preprocessing stage. The addition of noise at the preprocessing stage served as a data augmentation technique that increased the number of sample images available for deep convolutional neural network (DCNN) experimentation, improved the proposed AIFR model and the trait aging features extraction process. The proposed AIFR models are developed with the pre-trained Inception-ResNet-v2 deep convolutional neural network architecture. On testing and comparing the models, the results revealed that FG-Net is more efficient over Morph with an accuracy of 0.15%, loss function of 71%, mean square error (MSE) of 39% and mean absolute error (MAE) of -0.63%.
Automatic Query Expansion Using Word Embedding Based on Fuzzy Graph Connectiv...YogeshIJTSRD
The aim of information retrieval systems is to retrieve relevant information according to the query provided. The queries are often vague and uncertain. Thus, to improve the system, we propose an Automatic Query Expansion technique, to expand the query by adding new terms to the user s initial query so as to minimize query mismatch and thereby improving retrieval performance. Most of the existing techniques for expanding queries do not take into account the degree of semantic relationship among words. In this paper, the query is expanded by exploring terms which are semantically similar to the initial query terms as well as considering the degree of relationship, that is, “fuzzy membership- between them. The terms which seemed most relevant are used in expanded query and improve the information retrieval process. The experiments conducted on the queries set show that the proposed Automatic query expansion approach gave a higher precision, recall, and F measure then non fuzzy edge weights. Tarun Goyal | Ms. Shalini Bhadola | Ms. Kirti Bhatia "Automatic Query Expansion Using Word Embedding Based on Fuzzy Graph Connectivity Measures" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45074.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/45074/automatic-query-expansion-using-word-embedding-based-on-fuzzy-graph-connectivity-measures/tarun-goyal
A NOVEL SCHEME FOR ACCURATE REMAINING USEFUL LIFE PREDICTION FOR INDUSTRIAL I...ijaia
In the era of the fourth industrial revolution, measuring and ensuring the reliability, efficiency and safety of the industrial systems and components are one of the uppermost key concern. In addition, predicting performance degradation or remaining useful life (RUL) of an equipment over time based on its historical sensor data enables companies to greatly reduce their maintenance cost. In this way, companies can prevent costly unexpected breakdown and become more profitable and competitive in the marketplace. This paper introduces a deep learning-based method by combining CNN(Convolutional Neural Networks) and LSTM (Long Short-Term Memory)neural networks to predict RUL for industrial equipment. The proposed method does not depend upon any degradation trend assumptions and it can learn complex temporal representative and distinguishing patterns in the sensor data. In order to evaluate the efficiency and effectiveness of the proposed method, we evaluated it on two different experiment: RUL estimation and predicting the status of the IoT devices in 2-week period. Experiments are conducted on a publicly available NASA’s turbo fan-engine dataset. Based on the experiment results, the deep learning-based approach achieved high prediction accuracy. Moreover, the results show that the method outperforms standard well-accepted machine learning algorithms and accomplishes competitive performance when compared to the state-of-the art methods
ORTHOPAEDIC SURGERY
ROBOTICS IN MEDICINE
*
Title page
*
IntroductionThere has been a concerted effort to include technological advancements in medicine.And there have been a lot of different technologies and innovations that have been included in medicine this may include cryogenics among others.Thus for the sake of the patients in this case the progressive technologies have to be embraced.As this may make the quality of healthcare better than it has ever been.
*
This is an introduction showing the various technological advancements and discoveries that have been successfully been implemented within the medical circles the first point may include the efforts of such bodies such as the Pasteur institute and programs such as the genome project. The second point is with regards to such technologies synthetic organs bionic limbs and other technologically advanced means of medicine. The third point is referring to newer technologies that may increase the chances of survival or in less dire straits improve the quality of healthcare. The last point shows that the above may better healthcare.
*
HistoryThe first example of robotics was in Vancouver where this machine was used for an Orthopaedic procedureIt was later followed by a remarkable machine known as Unimation Puma that was used to place a needle for a brain biopsy.Otherwise in the 1990’s and this century robotics have evolved with computer technology an the increase in processing power
*
This is to underline the history and the development of robotics in general and specifically those in use in the medical sector this part and follows the development of these machines through the 80’s and up to date. It also shows the specific achievements of the various robots and the milestones in such development.
*
Advantages of Robotics in medicineAccuracyConvenience and versatilityReduction avoidable infectionsReduction of doctor fatigueReduction of convalescing time
*
This slide includes the advantages of the robots as described in detail in the paper it touches on matters accuracy, convenience and versatility reduction of infections, doctor fatigue and convalescing. To expound on these refer to the main paper
*
Disadvantages of RoboticsInability to reprogram themselves.Latency and delays in issuance to execution of commands.Expense involved in manufacture, acquisition, maintenance and training of staff.
*
This slide deals with the disadvantages of the same including inability to reprogram latency and delays and the issue of expenses as best shown on the paper major.
*
Recommendations
Take into consideration the critical mass of patients that may use the machine in order to understand its profitabilityIn the event it may be acquired then it may improve the quality of care and may increase the number of patients served
*
This slide contains the major considerations that have been arrived at by weighing the advantages and disadvantages within the paper and come with two c.
Robotic colorectal surgery technique, advantages, disadvantages and its impac...Apollo Hospitals
The use of robotics in colorectal surgery is gaining momentum of late. Technical advances, such as three-dimensional imaging, a stable camera platform, excellent ergonomics, tremor elimination, ambidextrous capability, motion scaling and instruments with multiple degrees of freedom, have helped many surgeons adapt to it easily. There is a shorter learning curve compared to the standard laparoscopic surgery. This article helps to give an outline as to how robotic colorectal surgery can go a long way in the future of colorectal surgery.
Augmented Reality : Future of Orthopedic SurgeryPayelBanerjee17
I just wanted people to be aware of all the recent advancements occurring in surgeries, and in medicine. so here I'm uploading it in public. kindly look into it. also, you can check out my
https://thatindiangirl1.blogspot.com (blog)
For a long time, robots have been used in the healthcare industry, mostly behind the scenes. In hospitals, the spectrum of robotic applications has significantly increased over the last five years to include helpful applications for doctors, nurses, and patients. In medicine, robots assist by removing routine duties from medical personnel's schedules, allowing them to focus on more important activities, and by making medical treatments safer and less expensive for patients. They can also do precise surgery in small spaces and transport hazardous materials.
Autonomous Camera Movement for Robotic-Assisted Surgery: A SurveyIJAEMSJORNAL
In the past decade, Robotic-Assisted Surgery (RAS) has become a widely accepted technique as an alternative to traditional open surgery procedures. The best robotic assistant system should combine both human and robot capabilities under the human control. As a matter of fact robot should collaborate with surgeons in a natural and autonomous way, thus requiring less of the surgeons’ attention. In this survey, we provide a comprehensive and structured review of the robotic-assisted surgery and autonomous camera movement for RAS operation. We also discuss several topics, including but not limited to task and gesture recognition, that are closely related to robotic-assisted surgery automation and illustrate several successful applications in various real-world application domains. We hope that this paper will provide a more thorough understanding of the recent advances in camera automation in RSA and offer some future research directions.
Machine learning for real-time prediction of complications induced by flexibl...IJECEIAES
It is not always easy to predict the outcome of a surgery. Peculiarly, when talking about the risks associated to a given intervention or the possible complications that it may bring about. Thus, predicting those potential complications that may arise during or after a surgery will help minimize risks and prevent failures to the greatest extent possible. Therefore, the objectif of this article is to propose an intelligent system based on machine learning, allowing predicting the complications related to a flexible uretero- renoscopy with laser lithotripsy for the treatment of kidney stones. The proposed method achieved accuracy with 100% for training and, 94.33% for testing in hard voting, 100% for testing and 95.38% for training in soft voting, with only ten optimal features. Additionally, we were able to evaluted the machine learning model by examining the most significant features using the Shaply additive explanations (SHAP) feature importance plot, dependency plot, summary plot, and partial dependency plots.
On July 11, 2000, the Food and Drug Administration (FDA) approved the first completely robotic surgery device, the da Vinci surgical system from Intuitive Surgical (Mountain View, CA).
ORTHOPAEDIC SURGERY
ROBOTICS IN MEDICINE
*
Title page
*
IntroductionThere has been a concerted effort to include technological advancements in medicine.And there have been a lot of different technologies and innovations that have been included in medicine this may include cryogenics among others.Thus for the sake of the patients in this case the progressive technologies have to be embraced.As this may make the quality of healthcare better than it has ever been.
*
This is an introduction showing the various technological advancements and discoveries that have been successfully been implemented within the medical circles the first point may include the efforts of such bodies such as the Pasteur institute and programs such as the genome project. The second point is with regards to such technologies synthetic organs bionic limbs and other technologically advanced means of medicine. The third point is referring to newer technologies that may increase the chances of survival or in less dire straits improve the quality of healthcare. The last point shows that the above may better healthcare.
*
HistoryThe first example of robotics was in Vancouver where this machine was used for an Orthopaedic procedureIt was later followed by a remarkable machine known as Unimation Puma that was used to place a needle for a brain biopsy.Otherwise in the 1990’s and this century robotics have evolved with computer technology an the increase in processing power
*
This is to underline the history and the development of robotics in general and specifically those in use in the medical sector this part and follows the development of these machines through the 80’s and up to date. It also shows the specific achievements of the various robots and the milestones in such development.
*
Advantages of Robotics in medicineAccuracyConvenience and versatilityReduction avoidable infectionsReduction of doctor fatigueReduction of convalescing time
*
This slide includes the advantages of the robots as described in detail in the paper it touches on matters accuracy, convenience and versatility reduction of infections, doctor fatigue and convalescing. To expound on these refer to the main paper
*
Disadvantages of RoboticsInability to reprogram themselves.Latency and delays in issuance to execution of commands.Expense involved in manufacture, acquisition, maintenance and training of staff.
*
This slide deals with the disadvantages of the same including inability to reprogram latency and delays and the issue of expenses as best shown on the paper major.
*
Recommendations
Take into consideration the critical mass of patients that may use the machine in order to understand its profitabilityIn the event it may be acquired then it may improve the quality of care and may increase the number of patients served
*
This slide contains the major considerations that have been arrived at by weighing the advantages and disadvantages within the paper and come with two c.
Robotic colorectal surgery technique, advantages, disadvantages and its impac...Apollo Hospitals
The use of robotics in colorectal surgery is gaining momentum of late. Technical advances, such as three-dimensional imaging, a stable camera platform, excellent ergonomics, tremor elimination, ambidextrous capability, motion scaling and instruments with multiple degrees of freedom, have helped many surgeons adapt to it easily. There is a shorter learning curve compared to the standard laparoscopic surgery. This article helps to give an outline as to how robotic colorectal surgery can go a long way in the future of colorectal surgery.
Augmented Reality : Future of Orthopedic SurgeryPayelBanerjee17
I just wanted people to be aware of all the recent advancements occurring in surgeries, and in medicine. so here I'm uploading it in public. kindly look into it. also, you can check out my
https://thatindiangirl1.blogspot.com (blog)
For a long time, robots have been used in the healthcare industry, mostly behind the scenes. In hospitals, the spectrum of robotic applications has significantly increased over the last five years to include helpful applications for doctors, nurses, and patients. In medicine, robots assist by removing routine duties from medical personnel's schedules, allowing them to focus on more important activities, and by making medical treatments safer and less expensive for patients. They can also do precise surgery in small spaces and transport hazardous materials.
Autonomous Camera Movement for Robotic-Assisted Surgery: A SurveyIJAEMSJORNAL
In the past decade, Robotic-Assisted Surgery (RAS) has become a widely accepted technique as an alternative to traditional open surgery procedures. The best robotic assistant system should combine both human and robot capabilities under the human control. As a matter of fact robot should collaborate with surgeons in a natural and autonomous way, thus requiring less of the surgeons’ attention. In this survey, we provide a comprehensive and structured review of the robotic-assisted surgery and autonomous camera movement for RAS operation. We also discuss several topics, including but not limited to task and gesture recognition, that are closely related to robotic-assisted surgery automation and illustrate several successful applications in various real-world application domains. We hope that this paper will provide a more thorough understanding of the recent advances in camera automation in RSA and offer some future research directions.
Machine learning for real-time prediction of complications induced by flexibl...IJECEIAES
It is not always easy to predict the outcome of a surgery. Peculiarly, when talking about the risks associated to a given intervention or the possible complications that it may bring about. Thus, predicting those potential complications that may arise during or after a surgery will help minimize risks and prevent failures to the greatest extent possible. Therefore, the objectif of this article is to propose an intelligent system based on machine learning, allowing predicting the complications related to a flexible uretero- renoscopy with laser lithotripsy for the treatment of kidney stones. The proposed method achieved accuracy with 100% for training and, 94.33% for testing in hard voting, 100% for testing and 95.38% for training in soft voting, with only ten optimal features. Additionally, we were able to evaluted the machine learning model by examining the most significant features using the Shaply additive explanations (SHAP) feature importance plot, dependency plot, summary plot, and partial dependency plots.
On July 11, 2000, the Food and Drug Administration (FDA) approved the first completely robotic surgery device, the da Vinci surgical system from Intuitive Surgical (Mountain View, CA).
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Integrating Medical Robots for Brain Surgical Applications
1. J.Ruby et al. 1
Integrating Medical Robots for Brain Surgical Applications
J.Ruby1, Susan Daenke2, Xianpei Li3, J.Tisa4, William Harry5, J.Nedumaan6,
Mingmin Pan7, J.Lepika8, Thomas Binford9 and P.S.Jagadeesh Kumar10
1, 2Department of Medical Sciences, University of Oxford, United Kingdom
3Computational and Mathematical Engineering, Stanford University, United States
4Stanford Center for Biomedical Informatics Research, Stanford University, United States
5Center for Biomedical Imaging, Stanford University, United States
6,9,10Department of Computer Science, Stanford University, United States
7Biomedical Engineering Research Center, Nanyang Technological University, Singapore
8Department of Computer Science, Harvard University, United States
Corresponding author
J.Ruby, Department of Medical Sciences, University of Oxford, United Kingdom
E-mail: ruby.jagadeesh@yahoo.com
1. Abstract
Neurosurgery has customarily been at the cutting edge of propelling innovations,
adjusting new strategies and gadgets effectively with an end goal to build the security
and viability of brain surgery procedures. Among these adjustments is the surgical robot
technology. This paper features a portion of the all the more encouraging frameworks in
neurosurgical robotics, integrating brain surgical robots being used and being advanced.
The reason for this paper is twofold, to address the most encouraging models for
neurosurgical applications, and to examine a portion of the entanglements of robotic
neurosurgery given the exceptional framework of the brain. The utilization of robotic
assistance and input direction on surgical operations could improve the specialization of
the experts during the underlying period of the expectation to absorb information.
2. Keywords
Medical and Surgical Robots, Surgical Applications, Brain Surgery, Minimally Invasive
CITATION: J.Ruby et al. (2020). Integrating Medical Robots for Brain Surgical Applications.
J Med Surg Research. 2020. 5(1): 1-14.
2. J.Ruby et al. 2
3. Abbreviations
Food and Drug Administration (FDA); Automated Positioning System (APS); Endoscopic
Third Ventriculostomy (ETV); Computed Tomography (CT); Deep Brain Stimulation
(DBS), Stereoelectroencephalography (SEEG)
4. Introduction
Robotic surgery or robot-assisted surgery enables specialists to perform numerous
kinds of complex systems with more exactness, adaptability, and control than is
conceivable with customary methods. Robotic surgery is typically connected with
negligibly intrusive (minimally invasive) medical procedure, a methodology performed
through minor entry points [13]. It is additionally once in a while utilized in certain
customary open surgeries. Robotic surgery with the Da Vinci Surgical System was
endorsed by the Food and Drug Administration (FDA) in 2000. The procedure has been
quickly embraced by clinics in the United States and Europe for use in the treatment of a
wide scope of conditions [5]. The most generally utilized clinical automated careful
framework incorporates a robotic arm with careful instruments appended to them. The
specialist controls the arms while situated at a computer resource close to the surgical
table. The support gives the specialist a top-quality, amplified, 3-D perspective on the
careful site. The specialist leads other colleagues who help during the activity.
Just as manufacturers depend on robots to lessen human mistakes and keep up item
quality, so too are surgical robots, lightening weakness while helping methodology
requiring incredible accuracy [9]. The significant expense of surgical robots has been a
boundary to selection; however more medical clinics are concluding that they're worth
the venture. The equipment can assist specialists with performing minimally invasive
operations, from which patients can recuperate more rapidly and effectively than
customary systems [14]. The worldwide market for surgical robots will encounter a
compound annual growth rate of 12.1%, from $4.5 billion in 2018 to $8.5 billion by
2023, as per Markets and Markets.
The University of Oxford has directed a preliminary of the Preceyes Surgical System. The
test included 15 patients who required membranes removed from their eyes or had a
development of blood beneath the retina because of age-related macular degeneration.
Half of the individuals got customary methodology, while the others got robotic surgical
3. J.Ruby et al. 3
procedures [15]. Every one of the medical procedures was fruitful; however, the robotic
surgical methodology was at any rate as fruitful and was now and then considerably
more compelling than doing the procedures physically. In 2019, there are plans to utilize
surgical robots to administer gene therapy to the retina [10].
One issue for people living in remote regions is gaining admittance to urgent therapeutic
consideration, particularly with a lack of gifted specialists at the nearby medical clinic.
Luckily, robotics with different advances, for example, virtual reality is helping
specialists get ready. They can rehearse in the virtual world before there's a patient on
the surgical table, which is useful for confounded methodology. Now and then, virtual
reality with haptics to assist clients with getting material input that carries more
authenticity to these training sessions. Notwithstanding, empowering specialist doctors
to get on-site training, the CorPath System from Corindus Vascular Robotics takes into
consideration remote medical surgery [16]. The organization depicted it as the primary
remote telerobotic interventional stage. In an ongoing case in Stanford, a cardiovascular
specialist played out a 15-minute technique on a patient who was around 20 miles away.
The specialist utilized the framework to embed a stent into the patient while working
the robot from a remote place and checking the advancement on a screen. The CorPath
System relied upon fast Wi-Fi. Specialists holding on with the patient were accessible to
step in inside around 30 seconds in the event of a blackout. Remotely controlled surgical
robots could profit patients who are too sick to even consider being shipped to an area
where a specialist is accessible [6]. The long advancement times, security necessities,
and significant expenses of surgical robots have just prompted some consolidation. The
above examples feature how surgical robots are making things conceivable that
specialists likely didn't dream about a few decades prior. Indeed, even as quick as
innovation is developing, specialists don't have to stress over robots assuming control
over their employments. All things considered, even on account of the remote medical
procedure referenced above, people are continually managing the surgical robots and
indicating what moves they make. Their decision-making expertise is as yet basic to
fruitful consideration [4].
4. J.Ruby et al. 4
Surgeons at Stanford Medical Center use robotic surgery for gynecologic procedures,
prostate surgery, kidney surgery, gallbladder surgery, and other procedures. Since these
procedures can now be performed through very small incisions, patients experience a
number of benefits compared to open surgery, including:
(1) Fewer traumas on the body such as surgical site infection.
(2) Minimal scarring, less pain and blood loss
(3) Faster recovery time
5. Materials and Methods
A few robotic elucidations have been created to address the particular difficulties
related with mediations on the brain [17]. Deep pathology requiring control of or direct
injury to the parenchyma has propelled gadgets which may limit harm to typical tissue.
In spite of the fact that this isn't intended to fill in as a study of surgical robotics
technology all in all, a comprehension of the subtypes of framework accessible is useful.
Articulately an order dependent on the robot–surgeon collaboration was proposed [3].
Three frameworks are portrayed. The first is a supervisory-controlled robotic system in
which the mechanical mediation is preplanned and customized and afterward regulated
by the specialist as it completes its modified developments independently. The second is
an automated telesurgical framework in which the robot is controlled by the specialist
continuously through remote control, with constrained input to the administrator. The
third is a common control framework where the specialist straightforwardly controls
the developments of the robot as the robot upgrades the specialist's aptitudes through
expertise improvement, a term which for the most part portrays mechanical answers for
human restrictions, including physiologic tremor decrease (Figure 1).
As effectively expressed, consideration has been centered on accessing deep pathology
or structures, for example, the third ventricle with constrained injury to the typical
brain. Coupling these gadgets, in this manner, with image based route frameworks and
creating controlled, exact objective securing abilities have been critical advances in
endeavoring intracranial techniques. When all is said in done, with these assets, existing
models center their innovation on explicit errands [1].
5. J.Ruby et al. 5
Figure 1. Medical Robot Performing Brain Surgery
Among the least complex and most broadly utilized supervisory-controlled robot is a
specific move up to the Leksell Gamma Knife radiosurgical framework. The Automated
Positioning System (APS) will alter the patient's head inside a collimator naturally, in
view of a foreordained stereotactic plan [2]. A few investigations have affirmed the
advantages of such computerization, affirming shorter treatment times, decreased
presentation of patients and work force to radiation, and more noteworthy capacity to
convey radiation to an expanded number of littler isocenters, in this manner lessening
the most extreme portion to the objective.
The NeuroMate framework was the principal FDA-endorsed automated gadget for
robotic neurosurgery. Like Minerva which pursued, this framework includes an inactive
mechanical arm which moves in a pre-modified course to a particular site characterized
by coordinated neuronavigation frameworks for stereotactic biopsy or utilitarian
neurosurgical applications [8]. The Minerva venture endeavored to represent brain by
putting the mechanical arm inside a CT scanner to give ongoing image direction.
Security issues constrained the end of this gadget. Signs for the NeuroMate keep on
extending as image direction innovation progresses [18]. Ongoing examinations have
demonstrated its limitation and focusing on capacities are similar with those of
standard confining frameworks. This framework accomplished a decent precision with a
frameless application in microelectode arrangement for treatment of Parkinson's
infection. Evolution of Universal Robot Systems has been tried for a few neurosurgical
applications. Pedicle screw positions and endoscope-helped transphenoidal pituitary
ademona resections, albeit effective, were esteemed by the individuals, endeavored
6. J.Ruby et al. 6
these applications to be excessively unwieldy and tedious to legitimize their utilization.
All the more as of late this framework has been utilized for endoscopic third
ventriculostomy (ETV) in patients with hydrocephalus auxiliary to aqueductal stenosis.
In particular, the mechanical arm was utilized to correctly and dependably direct an
endoscope to envision the floor of the third ventricle [19]. The ventriculostomy was
performed physically by the specialist through working directs in the endoscope, which
was held inflexibly by the robot. Hypothetical points of interest of this framework over
specialist alone ETV are accuracy focusing through image direction coupling and finesse
improvement, which takes out smaller scale developments of a hand-held extension. Up
to this point there is no proof supporting a clinical or result advantage of automated
over manual ETV, in spite of the deliberate contrasts [12].
Past intercessions requiring a solitary instrument or endoscope-adjustment provisions,
telesurgical robots with several arms for both variable instrumentation and endoscopy
are right now accessible in different fortes (Figure 2). The Neurobot telerobotic edifice
has been utilized effectively in complex techniques requiring concurrent withdrawal and
dismemberment. Robot-assisted craniotomy is a NeuRobot used to resect shallow parts
of an intraaxial tumor on a live human subject, referring to expertise upgrade as one of
the potential points of interest. At University of Oxford, a few da Vinci frameworks are
accessible for both clinical use and research commitments. It has become standard
instrumentation for prostatectomy and other urological systems, and is FDA-endorsed
for general and gynecologic medical procedure too [7]. Given its tremor decrease,
movement scaling abilities, different working arms, and licensed Endowrist innovation
which empowers for full scope of movement at the instrument head equivalent with that
of the human wrist, this appliances were tried at foundation for a few neurosurgical
methodologies moreover. We would say with cadaveric preliminaries of start to finish
ulnar nerve reanastomosis, lumbar discectomy, intradural spinal dismemberment, and
complex intraventricular medical procedure, huge snags to brain applications still
remain [20, 23].
These deterrents, be that as it may, do give knowledge into a portion of the necessities of
automated neurosurgery, which require both programming and equipment changes. In
particular, the conventional endoscope with working channels takes into consideration
one tract through typical tissue to the ventricles instead of different tracts to suit
instrumentation. This conventional model combined with Endowrist innovation may
7. J.Ruby et al. 7
give the additional advantage of a more prominent scope of movement inside the
ventricular framework, which is generally difficult to accomplish physically [21]. Brain
surgical robots concentrated on exact restriction may likewise move, or be controlled, so
as to unequivocally obtain an objective at a profound area to the detriment of typical
tissue at a progressively shallow level. For instance, an endoscope situated mechanically
to see the floor of the third ventricle may turn perilously at the cortex or foramen of
Monroe and fornix. Docking after target procurement, in this manner, with proceeded
with portability just distally is perfect [11]. At last, a reasonable inconvenience inside all
classifications of Brain Surgical Robots is the absence of criticism to the administrator.
Albeit visual criticism has improved fundamentally with progresses in optics and image
direction, other tangible input is slacking. Position, speed, or quickening of the machines
might be perceived through a mix of obvious signs and, for telesurgical or medical robot
models, proprioceptive prompts [22]. Without complete tangible criticism, be that as it
may, other huge sensations are lost, remembering power for contiguous edifices or
qualities of controlled tissues, for instance consistence, surface, pulsatility, or elastisticy.
Dynamic research in this part of brain surgical robot proceeds and will be vital in the
reconciliation of these frameworks into neurosurgery given the ostensibly total need of
such criticism while working inside the focal sensory system.
Figure 2. Brain Surgical Robot Featuring Several Robotic Arms
8. J.Ruby et al. 8
6. Results and Discussion
The first industrially accessible neurorobotic appliance for stereotactic neurosurgical
systems was the Neuromate® stereotactic robot. This gadget can diminish method time
and increment wellbeing in stereotactic neurosurgery in outline and frameless
methodology. The robot has five degrees of opportunity, can be mounted with careful
instruments and can be utilized in different methodology. Stereotactic neurosurgery is
utilized by neurosurgeons to find careful focuses inside the brain. It utilizes 3D imaging
information and either an outer casing or imaging markers appended to the scalp as
reference focuses. This method empowers specialists to arrive at focuses on that are
somewhere down in the brain in a negligibly intrusive way. Specialists would most
usually utilize this method in systems including deep brain stimulation (DBS),
stereoelectroencephalography (SEEG), biopsy and endoscopy, or to convey gadgets or
instruments to a little focus in the brain. It is currently utilized in numerous emergency
clinics around the globe with a few introduced in the United Kingdom.
Specialists have utilized the neuromate in a huge number of terminal implantation
methodologies for DBS, SEEG, neuroendoscopy and biopsies. On account of advances in
medicinal IT, there is presently simple to utilize strategy arranging programming, for
example, Renishaw'sneuroinspire™ for stereotactic systems. Addition of the product
with the robot gives the specialist a framework where the adapted robot can be situated
to empower the specialist to put gadgets into the right area. This is viable in diminishing
human blunders and working time.
Late progress in robotic assistance in minimally invasive laser surgery denoted a stage
forward in expanding the exactness, reproducibility, and straightforward mechanized
moves in medical procedure for glaucoma, and corneal transplant too. Integrated
robotic assistance system with laser innovation for brain medical procedure detailed an
expansion in productivity and a decrease in mistake. One of the difficulties to the far
reaching acknowledgment of robotic technology in the neurosurgical working theater,
when they have been demonstrated compelling and safe, is the capacity to prepare
neurosurgeons to utilize the imaginative advancements. Reproduction systems are
constantly improving and the more similar the recreation the better, as reenactment is a
decent option in contrast to bodies. An advantage of a recreation is that it tends to be
9. J.Ruby et al. 9
explicit to an individual patient whenever created utilizing preoperative imaging, so a
specialist can get ready and practice an accurate patient-explicit technique utilizing the
innovation as a dry run. Enhancements in augmented reality systems will demonstrate
helpful in preparing specialists to utilize innovation of things to come.
Another upheaval positively influencing surgical training is live streaming. The main live
gushed medical procedure was communicated in April 2016 to restorative stand-ins just
as other invested individuals. Live streaming has broken topographical boundaries with
the goal that accomplished specialists can exhibit careful strategies and systems
continuously in real time. In the neurosurgical field advances will keep on improving
velocity, material capacity and human-robot interfaces. Totally self-ruling medical
procedure is as yet far off, however apply autonomy is as of now changing the substance
of neurosurgery always, despite the fact that in a more slow, more dynamic path than
the blast that influenced poor Phineas Gage. The below table depicts the merits and
demerits of the recent brain surgical robot categories and their applications.
Table 1. Brain Surgical Robot Category and Applications
Surgical
Robot
Category Applications Merit Demerit
NeuroMate Supervised Surgery Exactitude Expensive
Cyberknife Supervised Radiosurgery Exactitude
Scant
Functions
Minerva Supervised Surgery Exactitude
Safety
Disputes
Universal
Robot
Systems
Collective
Control
Pedicle Screws,
ETV,
Transsphenoidal
Agility
Amelioration
Absence Of
Corporeal
View
NeuRobot Telesurgical
Tumor
Resection
Agility
Amelioration
Denunciation
10. J.Ruby et al. 10
7. Conclusion
Surgical robots have obviously influenced the act of neurosurgery through a few FDA-
endorsed gadgets, most eminently in the domain of radiosurgery. It is clear, nonetheless,
that while the field of medical surgical robot technology progresses, and consideration
must be given to the subtleties of brain medical procedure and careful life structures.
Incorporations of new engaged innovations at that point can be adjusted all the more
effectively into the neurosurgeons as of now exceptionally specific working condition.
Making the fortune of robotization, and tangible criticism, is of most incentive to
medical surgical technology in the event that it very well may be examined with regards
to every claim to fame. The robots most generally utilized in neurosurgery have been
results of this relevant research, which focused on focal sensory system explicit
arrangements. Endeavors to adjust other instrumentation for neurosurgical use have
demonstrated to be less powerful.
8. Acknowledgements
We would like to show our gratitude to the University of Oxford, United Kingdom for
sharing their pearls of wisdom with us during the course of writing this paper, and we
thank Stanford Medical Center, Unites States for their intuitions into the topic. We are
extremely grateful to Nanyang Technological University, Singapore for their annotations
in preparing through the technical aspects. Also, we express our sincere thanks to
Harvard University, United States for sharing their esteemed throughputs.
9. Conflict of interest
No financial interest or any conflict of interest exists.
10.Bibliography of Corresponding Author
J.Ruby is a Medical Surgical Researcher at the University of Oxford, United
Kingdom. She completed her post-graduation in Medical Surgical from the
University of Cambridge, United Kingdom. She finished her undergraduate
in Nursing Education. She is one of the authors of the book titled “Robotics
and Surgical Applications” published by Micromo, United Kingdom.
11. J.Ruby et al. 11
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Received: April 21, 2019 Accepted: August 8, 2019 Published: January 1, 2020