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Biomedical subjects

Louise Moody

Publications and source records attributed to Louise Moody.

6 recordsLinked to original sources

Passive haptics in a knee arthroscopy simulator: is it valid for core skills training?

Previous investigation of a cost-effective virtual reality arthroscopic training system, the Sheffield Knee Arthroscopy Training System (SKATS), indicated the desirability of including haptic feedback. A formal task analysis confirmed the importance of knee positioning as a core skill for trainees learning to navigate the knee arthroscopically. The system cost and existing limb interface, which permits knee positioning, would be compromised by the addition of commercial active haptic devices available currently. The validation results obtained when passive haptic feedback (resistance provided by physical structures) is provided indicate that SKATS has construct, predictive and face validity for navigation and triangulation training. When tested using SKATS, experienced surgeons (n = 11) performed significantly faster, located significantly more pathologies, and showed significantly shorter arthroscope path lengths than a less experienced surgeon cohort (n = 12). After SKATS training sessions, novices (n = 3) showed significant improvements in: task completion time, shorter arthroscope path lengths, shorter probe path lengths, and fewer arthroscope tip contacts. Main improvements occurred after the first two practice sessions, indicating rapid familiarization and a training effect. Feedback from questionnaires completed by orthopaedic surgeons indicates that the system has face validity for its remit of basic arthroscopic training.

Analysis of Variance↗

Ensuring the usability of a knee arthroscopy simulator.

There is limited research considering the usability of medical virtual environments. Usability evaluation is an essential validation phase that considers the extent to which a product achieves its specific goals, with effectiveness, efficiency and satisfaction. A four-stage iterative approach is adopted to enhance usability in the development of a knee arthroscopy training system. This process has drawn attention to issues that may impede system usability for example non-conformity to platform conventions, and visibility of the system status. The process highlights features that computer scientists can overlook when working closely with a system but that are essential to user acceptance and effective application.

Arthroscopy↗

A flexible virtual reality tutorial for the training and assessment of arthroscopic skills.

Through definition of a comprehensive tutorial model, the Warwick, Imperial and Sheffield Haptic Knee Arthroscopy Training System (WISHKATS) aims to provide independent, flexible and consistent training and assessment. The intention is to satisfy user acceptance by limiting the constraints by which the system can be utilised, as well as demonstrating validity and reliability. System use can either be under the guidance and feedback offered by the system or of a senior surgeon. Objective metrics are defined for performance feedback and formal assessment.

Arthroscopy↗

A part-task approach to haptic knee arthroscopy training.

This paper describes the research behind a part-task approach to both the development of, and the training offered, by a virtual reality simulator for knee arthroscopy. An ethnographic approach has been taken to examine the nature of task performance and the current training of the arthroscopic diagnosis of the knee. This Human Factors research is used to support the development of WISHKATS. The design addresses the challenge of technically producing haptic feedback for a knee surgery simulator whilst offering sufficient fidelity to train the necessary skills and conform to traditional surgical training.

Arthroscopes↗

Engineering requirements for a haptic simulator for knee arthroscopy training.

This paper describes the initial development of an innovative haptic device that will be integrated into an existing virtual reality training system for knee arthroscopy. The resulting system will be called WISHKATS (Warwick, Imperial, Sheffield Knee Arthroscopy Training System). This haptic device will enable the trainee to feel realistic forces on the probing tool and will work together with software, which will simulate tissue deformation. The proposed haptic system is a compact, multi-degree of freedom, motorised mechanism with force sensors, and will be used to simulate the diagnostic aspects of knee arthroscopy. There are a number of problems associated with the development of a suitable haptic system and this paper explores the engineering requirements of such a device.

Arthroscopy↗

Objective surgical performance evaluation based on haptic feedback.

In order to develop effective virtual reality training systems for surgery there is a need to provide appropriate sensory and performance feedback to the user. This paper aims to demonstrate a method by which performance data can be collected. This is used to investigate the effect of haptic feedback on performance. A PHANTOM desktop device was used in conjunction with a suturing simulation A pair of needle-holders was instrumented with strain gauges and attached to the stylus of the PHANTOM allowing the measurement of force application and time. Suturing performance was evaluated in terms of stitch completion time, peak force application, and the length and straightness of the stitch. The effect of the level of force feedback provided by the simulation and performance over time was considered. The results indicate that the presence of force feedback affected task completion time, peak force application and the straightness of the stitch. Task completion time was shown to increase with the level of force feedback provided. Performance was seen to improve over time in terms of task completion time and the accuracy ofthe stitch. The work has examined how the presence and level of force feedback affects performance of a simple task. The accuracy of haptic feedback is important in the design of surgical simulation systems to ensure effective training transfer. A data collection method by which objective performance evaluation can be made is demonstrated. The method can be applied to training using bench models, simulations and potentially in the operating theatre.

Clinical Competence↗