Displaying publications 1 - 20 of 30 in total

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  1. Pai YS, Yap HJ, Md Dawal SZ, Ramesh S, Phoon SY
    Sci Rep, 2016 06 07;6:27380.
    PMID: 27271840 DOI: 10.1038/srep27380
    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.
    Matched MeSH terms: Robotic Surgical Procedures
  2. Pahl C, Ebelt H, Sayahkarajy M, Supriyanto E, Soesanto A
    J Med Syst, 2017 Aug 15;41(10):148.
    PMID: 28812247 DOI: 10.1007/s10916-017-0786-4
    This paper proposes a robotic Transesophageal Echocardiography (TOE) system concept for Catheterization Laboratories. Cardiovascular disease causes one third of all global mortality. TOE is utilized to assess cardiovascular structures and monitor cardiac function during diagnostic procedures and catheter-based structural interventions. However, the operation of TOE underlies various conditions that may cause a negative impact on performance, the health of the cardiac sonographer and patient safety. These factors have been conflated and evince the potential of robot-assisted TOE. Hence, a careful integration of clinical experience and Systems Engineering methods was used to develop a concept and physical model for TOE manipulation. The motion of different actuators of the fabricated motorized system has been tested. It is concluded that the developed medical system, counteracting conflated disadvantages, represents a progressive approach for cardiac healthcare.
    Matched MeSH terms: Robotic Surgical Procedures
  3. Salihu N, Kumam P, Awwal AM, Sulaiman IM, Seangwattana T
    PLoS One, 2023;18(3):e0281250.
    PMID: 36928212 DOI: 10.1371/journal.pone.0281250
    In 2012, Rivaie et al. introduced RMIL conjugate gradient (CG) method which is globally convergent under the exact line search. Later, Dai (2016) pointed out abnormality in the convergence result and thus, imposed certain restricted RMIL CG parameter as a remedy. In this paper, we suggest an efficient RMIL spectral CG method. The remarkable feature of this method is that, the convergence result is free from additional condition usually imposed on RMIL. Subsequently, the search direction is sufficiently descent independent of any line search technique. Thus, numerical experiments on some set of benchmark problems indicate that the method is promising and efficient. Furthermore, the efficiency of the proposed method is demonstrated on applications arising from arm robotic model and image restoration problems.
    Matched MeSH terms: Robotic Surgical Procedures*
  4. Ali A, N A Jawawi D, Adham Isa M, Imran Babar M
    PLoS One, 2016 Sep 26;11(9):e0163346.
    PMID: 27668748 DOI: 10.1371/journal.pone.0163346
    Behaviour models are the most commonly used input for predicting the reliability of a software system at the early design stage. A component behaviour model reveals the structure and behaviour of the component during the execution of system-level functionalities. There are various challenges related to component reliability prediction at the early design stage based on behaviour models. For example, most of the current reliability techniques do not provide fine-grained sequential behaviour models of individual components and fail to consider the loop entry and exit points in the reliability computation. Moreover, some of the current techniques do not tackle the problem of operational data unavailability and the lack of analysis results that can be valuable for software architects at the early design stage. This paper proposes a reliability prediction technique that, pragmatically, synthesizes system behaviour in the form of a state machine, given a set of scenarios and corresponding constraints as input. The state machine is utilized as a base for generating the component-relevant operational data. The state machine is also used as a source for identifying the nodes and edges of a component probabilistic dependency graph (CPDG). Based on the CPDG, a stack-based algorithm is used to compute the reliability. The proposed technique is evaluated by a comparison with existing techniques and the application of sensitivity analysis to a robotic wheelchair system as a case study. The results indicate that the proposed technique is more relevant at the early design stage compared to existing works, and can provide a more realistic and meaningful prediction.
    Matched MeSH terms: Robotic Surgical Procedures
  5. Hui Shin S, Niccolo Piozzi G, Mayuha Rusli S, Min Choo J, Gu Kang S, Kim SH
    Dis Colon Rectum, 2023 Mar 01;66(3):e118-e119.
    PMID: 36630407 DOI: 10.1097/DCR.0000000000002516
    Matched MeSH terms: Robotic Surgical Procedures*
  6. Al Kafi MA, Arib M, Al Moussa A, Alzorkany F, Shehadeh M, Mohd Yusof MF, et al.
    Appl Radiat Isot, 2023 Feb;192:110576.
    PMID: 36473319 DOI: 10.1016/j.apradiso.2022.110576
    The dosimetry of small fields has become tremendously important with the advent of intensity-modulated radiation therapy (IMRT) and stereotactic radiosurgery, where small field segments or very small fields are used to treat tumors. With high dose gradients in the stereotactic radiosurgery or radiotherapy treatment, small field dosimetry becomes challenging due to the lack of lateral electronic equilibrium in the field, x-ray source occlusion, and detector volume averaging. Small volume and tissue-equivalent detectors are recommended to overcome the challenges. With the lack of a perfect radiation detector, studies on available detectors are ongoing with reasonable disagreement and uncertainties. The joint IAEA and AAPM international code of practice (CoP) for small field dosimetry, TRS 483 (Alfonso et al., 2017) provides guidelines and recommendations for the dosimetry of small static fields in external beam radiotherapy. The CoP provides a methodology for field output factor (FOF) measurements and use of field output correction factors for a series of small field detectors and strongly recommends additional measurements, data collection and verification for CyberKnife (CK) robotic stereotactic radiotherapy/radiosurgery system using the listed detectors and more new detectors so that the FOFs can be implemented clinically. The present investigation is focused on using 3D gel along with some other commercially available detectors for the measurement and verification of field output factors (FOFs) for the small fields available in the CK system. The FOF verification was performed through a comparison with published data and Monte Carlo simulation. The results of this study have proved the suitability of an in-house developed 3D polymer gel dosimeter, several commercially available detectors, and Gafchromic films as a part of small field dosimetric measurements for the CK system.
    Matched MeSH terms: Robotic Surgical Procedures*
  7. Guangnan Z, Tao H, Rahman MA, Yao L, Al-Saffar A, Meng Q, et al.
    Work, 2021;68(3):871-879.
    PMID: 33612530 DOI: 10.3233/WOR-203421
    BACKGROUND: An isolated robot must take account of uncertainty in its world model and adapt its activities to take into account such as uncertainty. In the same way, a robot interaction with security and privacy issues (RISAPI) with people has to account for its confusion about the human internal state, as well as how this state will shift as humans respond to the robot.

    OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game.

    RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities.

    CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.

    Matched MeSH terms: Robotic Surgical Procedures
  8. Adlin Dasima, A.K., Nadia Hanom, I., Siti Aznida, A.K., Rusnaini, M.K., Mohd Fahmi, Z., Mohd Nazir, M.S., et al.
    MyJurnal
    This is our first experience in providing general anaesthesia for robotic-assisted thyroidectomy (RAT). It is rather a
    new experience for our anaesthetic team and few issues should be addressed. The conduct of RAT must be fully
    understood and familiarized as it may present with few challenges for the anaesthesiologists. The key point of
    success during this learning curve period is the importance of teamwork between the anaesthesiologists and the
    operating surgeons. The specific anaesthetic challenges include limited access to the patient post-docking of the
    robot, the need of extra precautions of the anaesthetic circuit and IV line connections, a vigilant anaesthesiologists
    and options for postoperative pain relief.
    Matched MeSH terms: Robotic Surgical Procedures
  9. Obaid, Kadhim Jawad, Sood, Suneet
    Medical Health Reviews, 2009;2009(1):59-73.
    MyJurnal
    Robotic surgery is a technique that uses mechanical, computercontrolled arms to conduct surgical operations. It carries the advantages of minimal access associated with laparoscopic surgery, and of precision associated with open surgery. It is also feasible to conduct robotic surgery with the surgeon far away, by “telerobotics”. The robot is more versatile than the human arm, and less susceptible to tremors. The view is excellent, and it is possible to conduct more intricate procedures than are possible with the human hand. Robotics has been in use for over seven years, and the initial experience shows that the success rate is over 90%, with only about 10% of cases needing to be converted to open surgery. Blood loss is low, and tumour margins in cancer surgery are satisfactory. Surgeons have used robotics for procedures in urology, gastrointestinal surgery, gynecology, cardiac surgery, neurosurgery, orthopedics, and other specialties. Presently, robotics suffers from two major disadvantages: one, that it is very expensive, and two, that robotic procedures take significantly longer than do open or laparoscopic procedures.
    Matched MeSH terms: Robotic Surgical Procedures
  10. Awang MS, Abdullah MZ
    Malays J Med Sci, 2011 Apr;18(2):53-7.
    PMID: 22135587 MyJurnal
    Surgical robots have been appearing in operating rooms over the past decade, and neurosurgery has been one of the pioneers in this area. In neurosurgery, the clinical use of robots has been limited to stereotactic procedures and endoscopic manoeuvres, although the brain is a unique organ and well-suited for robotic application. The aim of this study was to assess the ability of our vision-guided robotic system to perform basic neurosurgical procedures.
    Matched MeSH terms: Robotic Surgical Procedures
  11. Ragu R, Blanchard C, Meurette G
    J Visc Surg, 2017 09;154(4):297-299.
    PMID: 28802708 DOI: 10.1016/j.jviscsurg.2017.05.003
    Matched MeSH terms: Robotic Surgical Procedures/methods*
  12. Kapur A, Kapur V
    Malays J Med Sci, 2020 May;27(3):143-149.
    PMID: 32684815 DOI: 10.21315/mjms2020.27.3.15
    Technological advances in the field of surgery and medicine have increased the demand for minimally invasive surgery manifold. Robot assisted surgery is gaining popularity, overcoming the flaws of laparoscopic techniques; with improved surgical precision. The conservative nature of anaesthesia care has to face the challenges with respect to patient positioning, bulkiness of the operating system and being positioned far and away from the patient. Anaesthesiologist's commitment to be the 'best man' for the patient during the perioperative period mandates him to familiarise with these challenges of robot assisted surgical system and provide best possible anaesthetic care and ensure patient safety. In this article, a systematic review of the development of surgical robots and the consideration of unique anaesthetic concerns thereof have been undertaken as any new technology is known to be accompanied by its risks and technical perplexity.
    Matched MeSH terms: Robotic Surgical Procedures
  13. Shi T, Huang Q, Liu K, Du S, Fan Y, Yang L, et al.
    Eur Urol, 2020 10;78(4):592-602.
    PMID: 32305170 DOI: 10.1016/j.eururo.2020.03.020
    BACKGROUND: Robot-assisted thrombectomy (RAT) for inferior vena cava (IVC) thrombus (RAT-IVCT) is being increasingly reported. However, the techniques and indications for robot-assisted cavectomy (RAC) for IVC thrombus are not well described.

    OBJECTIVE: To develop a decision-making program and analyze multi-institutional outcomes of RAC-IVCT versus RAT-IVCT.

    DESIGN, SETTING, AND PARTICIPANTS: Ninety patients with renal cell carcinoma (RCC) with level II IVCT were included from eight Chinese urological centers, and underwent RAC-IVCT (30 patients) or RAT-IVCT (60 patients) from June 2013 to January 2019.

    SURGICAL PROCEDURE: The surgical strategy was based on IVCT imaging characteristics. RAT-IVCT was performed with standardized cavotomy, thrombectomy, and IVC reconstruction. RAC-IVCT was mainly performed in patients with extensive IVC wall invasion when the collateral blood vessels were well-established. For right-sided RCC, the IVC from the infrarenal vein to the infrahepatic veins was stapled. For left-sided RCC, the IVC from the suprarenal vein to the infrahepatic veins was removed and caudal IVC reconstruction was performed to ensure the right renal vein returned through the IVC collaterals.

    MEASUREMENTS: Clinicopathological, operative, and survival outcomes were collected and analyzed.

    RESULTS AND LIMITATIONS: All procedures were successfully performed without open conversion. The median operation time (268 vs 190 min) and estimated blood loss (1500 vs 400 ml) were significantly greater for RAC-IVCT versus RAT-IVCT (both p < 0.001). IVC invasion was a risk factor for progression-free and overall survival at midterm follow-up. Large-volume and long-term follow-up studies are needed.

    CONCLUSIONS: RAC-IVCT or RAT-IVCT represents an alternative minimally invasive approach for selected RCC patients with level II IVCT. Selection of RAC-IVCT or RAT-IVCT is mainly based on preoperative IVCT imaging characteristics, including the presence of IVC wall invasion, the affected kidney, and establishment of the collateral circulation.

    PATIENT SUMMARY: In this study we found that robotic surgeries for level II inferior vena cava thrombus were feasible and safe. Preoperative imaging played an important role in establishing an appropriate surgical plan.

    Matched MeSH terms: Robotic Surgical Procedures*
  14. Lojanapiwat B, Lee JY, Gang Z, Kim CS, Fai NC, Hakim L, et al.
    Prostate Int, 2019 Jun;7(2):60-67.
    PMID: 31384607 DOI: 10.1016/j.prnil.2018.06.001
    The Asian Prostate Cancer (A-CaP) study is an Asia-wide initiative that was launched in December 2015 in Tokyo, Japan, with the objective of surveying information about patients who have received a histopathological diagnosis of prostate cancer (PCa) and are undergoing treatment and clarifying distribution of staging, the actual status of treatment choices, and treatment outcomes. The study aims to clarify the clinical situation for PCa in Asia and use the outcomes for the purposes of international comparison. Following the first meeting in Tokyo in December 2015, the second A-CaP meeting was held in Seoul, Korea, in September 2016. This, the third A-CaP meeting, was held on October 14, 2017, in Chiang Mai, Thailand, with the participation of members and collaborators from 12 countries and regions. In the meeting, participating countries and regions presented the current status of data collection, and the A-CaP office presented a preliminary analysis of the registered cases received from each country and region. Participants discussed ongoing challenges relating to data input and collection, institutional, and legislative issues that may present barriers to data sharing, and the outlook for further patient registrations through to the end of the registration period in December 2018. In addition to A-CaP-specific discussions, a series of special lectures were also delivered on the situation for health insurance in the United States, the correlation between insurance coverage and PCa outcomes, and the outlook for robotic surgery in the Asia-Pacific region. Members also confirmed the principles of authorship in collaborative studies, with a view to publishing original articles based on A-CaP data in the future.
    Matched MeSH terms: Robotic Surgical Procedures
  15. Jing W, Tao H, Rahman MA, Kabir MN, Yafeng L, Zhang R, et al.
    Work, 2021;68(3):923-934.
    PMID: 33612534 DOI: 10.3233/WOR-203426
    BACKGROUND: Human-Computer Interaction (HCI) is incorporated with a variety of applications for input processing and response actions. Facial recognition systems in workplaces and security systems help to improve the detection and classification of humans based on the vision experienced by the input system.

    OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements.

    RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time.

    CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate.

    Matched MeSH terms: Robotic Surgical Procedures
  16. Zawiah Kassim, Fauziah Ahmad, Rusnaini Mustapha Kamar, Karis Misiran
    MyJurnal
    Safety and feasibility of transoral robotic surgery (TORS) in adults for otolaryngology surgery,
    mainly in the treatment of oropharyngeal carcinoma and obstructive sleep apnoea has already
    been established several years ago. However, less is known with respect to the role and safety
    of TORS for otolaryngology surgery in the paediatric age group and its description in the
    literature is currently insufficient. As paediatric patients are unique in their anatomy, physiology
    and pharmacological kinetic, special attention and consideration has to be applied when using
    TORS, hence this increases the perioperative challenges. Herewith we present our experience
    in anaesthetising a paediatric patient for TORS adenotonsillectomy which is the first not only
    in our centre but in Malaysia. Our major obstacle was the limited airway access as the area of
    concern was shared by the anaesthesiologist, surgeon and also the robotic system.
    Haemodynamic stabilisation was a challenge compared to the conventional method as the
    operative time increased due to robot docking time and the new surgical learning process. In
    our opinion, the key point for the success of TORS adenotonsillectomy in paediatric patients is
    good communication and teamwork between all personnel involved in the surgery.
    Matched MeSH terms: Robotic Surgical Procedures
  17. Ngoo KS, Honda M, Kimura Y, Yumioka T, Iwamoto H, Morizane S, et al.
    Int J Med Robot, 2019 Aug;15(4):e2018.
    PMID: 31115140 DOI: 10.1002/rcs.2018
    BACKGROUND: The aim of this study is to investigate the impact of robotic-assisted radical prostatectomy (RARP) on the health-related quality of life (HRQOL).

    METHODS: We prospectively reviewed HRQOL parameters using Short-Form Health Survey, patient self-reporting of urinary incontinence and International Index of Erectile Function, among patients who underwent RARP between 2010 and 2016.

    RESULTS: Among 249 men studied, all had significantly worse HRQOL domain scores at 1 month post operatively but 24 months after surgery, all domains reached or surpassed their baseline values. Only Bodily Pain, General Health, Role-Emotional, Mental Health domains, and Mental Health Composite were significantly improved. Improvement in urinary continence was mirrored by improvements in both Mental and Physical Component Scores.

    CONCLUSIONS: Within a 2-year post-operative period, men who underwent RARP had regained their overall quality of life. The recovery of urinary continence significantly impacted the mental, physical, emotional, and social well-being of those patients.

    Matched MeSH terms: Robotic Surgical Procedures/methods*
  18. Tao H, Rahman MA, Jing W, Li Y, Li J, Al-Saffar A, et al.
    Work, 2021;68(3):903-912.
    PMID: 33720867 DOI: 10.3233/WOR-203424
    BACKGROUND: Human-robot interaction (HRI) is becoming a current research field for providing granular real-time applications and services through physical observation. Robotic systems are designed to handle the roles of humans and assist them through intrinsic sensing and commutative interactions. These systems handle inputs from multiple sources, process them, and deliver reliable responses to the users without delay. Input analysis and processing is the prime concern for the robotic systems to understand and resolve the queries of the users.

    OBJECTIVES: In this manuscript, the Interaction Modeling and Classification Scheme (IMCS) is introduced to improve the accuracy of HRI. This scheme consists of two phases, namely error classification and input mapping. In the error classification process, the input is analyzed for its events and conditional discrepancies to assign appropriate responses in the input mapping phase. The joint process is aided by a linear learning model to analyze the different conditions in the event and input detection.

    RESULTS: The performance of the proposed scheme shows that it is capable of improving the interaction accuracy by reducing the ratio of errors and interaction response by leveraging the information extraction from the discrete and successive human inputs.

    CONCLUSION: The fetched data are analyzed by classifying the errors at the initial stage to achieve reliable responses.

    Matched MeSH terms: Robotic Surgical Procedures
  19. Soleimani Amiri M, Ramli R
    Sensors (Basel), 2021 May 03;21(9).
    PMID: 34063574 DOI: 10.3390/s21093171
    It is necessary to control the movement of a complex multi-joint structure such as a robotic arm in order to reach a target position accurately in various applications. In this paper, a hybrid optimal Genetic-Swarm solution for the Inverse Kinematic (IK) solution of a robotic arm is presented. Each joint is controlled by Proportional-Integral-Derivative (PID) controller optimized with the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), called Genetic-Swarm Optimization (GSO). GSO solves the IK of each joint while the dynamic model is determined by the Lagrangian. The tuning of the PID is defined as an optimization problem and is solved by PSO for the simulated model in a virtual environment. A Graphical User Interface has been developed as a front-end application. Based on the combination of hybrid optimal GSO and PID control, it is ascertained that the system works efficiently. Finally, we compare the hybrid optimal GSO with conventional optimization methods by statistic analysis.
    Matched MeSH terms: Robotic Surgical Procedures
  20. Mat Nawi NF, Simok AA, Hanafi MH, Mohd Ismail ZI
    Physiother Res Int, 2024 Apr;29(2):e2091.
    PMID: 38642068 DOI: 10.1002/pri.2091
    INTRODUCTION: Stroke has emerged as the leading cause of disability globally. The provision of long-term rehabilitation to stroke survivors poses a health care burden to many countries. Robotic devices have created a major turning point in stroke rehabilitation program. Currently, the anthropometric evidence to support the benefit of robotic rehabilitation (RR) among stroke patients is scarce. Therefore, the aim of this study was to evaluate the impact of RR on the mid-thigh circumferences of the paretic limbs in stroke patients.

    METHODS: Twenty stroke patients from conventional rehabilitation (CR) (n = 10) and RR (n = 10) groups were recruited through a purposive sampling method. Patients in the CR group received a two-hour session of a five-day-a-week home-based CR program for 4 weeks. Patients in the RR group received a five-day-a-week of an hour combined physiotherapy and occupational therapy session and a one-hour robotic therapy session using the HAL® Cyberdyne lower-limb, for 4 weeks. The mid-thigh circumferences of both limbs were measured on day 1 (baseline), week 2 and week 4 of rehabilitation program.

    RESULTS: The results revealed no statistically significant difference in the mid-thigh circumferences between the paretic (F1.05,9.44 = 1.96, p = 0.20), and the normal (F1.05,9.44 = 1.96, p = 0.20) sides in the CR group (n = 10). For the comparison between the paretic and normal sides in the RR group (n = 10), the paretic mid-thigh circumferences revealed significant time effect results (F2,18 = 11.91, p = 0.001), which were due to changes between baseline and week 2, and baseline and week 4 measurements. Interestingly, the normal mid-thigh circumferences also revealed a significant time effect (F2,18 = 6.56, p = 0.007), which is due to changes between baseline and week 4. One-way analysis of variance was employed to compare the mean average between groups due to the difference in the baseline measurements of the mid-thigh circumferences between the paretic side of the CR and the RR groups. With this adjustment, the average means mid-thigh circumferences after 4 weeks of therapy were shown to be significantly different between the CR and RR groups (F1,18 = 12.49, p = 0.02).

    CONCLUSION: Significant increments in the mid-thigh circumferences following RR were seen in the paretic limbs of stroke patients. Hence, this study may provide some insights into further potential research related to the benefits of RR in stroke patients.

    Matched MeSH terms: Robotic Surgical Procedures*
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