On the development of objective metrics for surgical skills evaluation based on tool motion

Estrada, Sean; O’Malley, Marcia K.; Duran, Cassidy; Schulz, Daryl G.; Bismuth, Jean

doi:10.1109/smc.2014.6974411

Cited by 25 publications

(15 citation statements)

References 23 publications

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“…The repeated pseudo-point-topoint movements could not be accurately classified as continuous independent movement. So while the robotic movement quality metrics have been successfully used in both the pointto-point [14] and continuous independent movement [23] cases, the movements in this study did not fall into either category. Therefore, two approaches to the robotic analysis of the data were utilized.…”

Section: E Data Analysismentioning

confidence: 87%

A robotic exoskeleton for rehabilitation and assessment of the upper limb following incomplete spinal cord injury

Fitle

Pehlivan

O’Malley

2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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Robotic devices have been shown to be efficacious in the delivery of therapy to treat upper limb motor impairment following stroke. However, the application of this technology to other types of neurological injury has been limited to case studies. In this paper, we present a multi degree of freedom robotic exoskeleton, the MAHI Exo II, intended for rehabilitation of the upper limb following incomplete spinal cord injury (SCI). We present details about the MAHI Exo II and initial findings from a clinical evaluation of the device with eight subjects with incomplete SCI who completed a multisession training protocol. Clinical assessments show significant gains when comparing pre-and post-training performance in functional tasks. This paper explores a range of robotic measures capturing movement quality and smoothness that may be useful in tracking performance, providing as feedback to the subject, or incorporating into an adaptive training protocol. Advantages and disadvantages of the various investigated measures are discussed with regard to the type of movement segmentation that can be applied to the data collected during unassisted movements where the robot is backdriven and encoder data is recorded for post-processing.

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Section: E Data Analysismentioning

confidence: 87%

A robotic exoskeleton for rehabilitation and assessment of the upper limb following incomplete spinal cord injury

Fitle

Pehlivan

O’Malley

2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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“…Spectral Arc method is used for the assessment of smoothness of signals describing any rhythmic sensorimotor behavior [22]- [24]. SPARC method applied here is modified Spectral Arc Length method, defined in [16].…”

Section: Sparc Methods For Assessment Of Tapping Smoothnessmentioning

confidence: 99%

Spectral parameters for finger tapping quantification

Bobic¹,

Djuric-Jovicic²,

Jarrassé

et al. 2017

FACTA U EE

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A miniature inertial sensor placed on fingertip of index finger while performing finger tapping test can be used for an objective quantification of finger tapping motion. Temporal and spatial parameters such as cadence, tapping duration, and tapping angle can be extracted for detailed analysis. However, the mentioned parameters, although intuitive and simple to interpret, do not always provide all the necessary information regarding the subject's motor performance. Analysis of frequency content of the finger tapping movement can provide crucial information about the patient's condition. In this paper, we present parameters extracted from spectral analysis that we found to be significant for finger tapping assessment. With these parameters, tapping's intra-variability, movement smoothness and anomalies that may occur within the tapping performance can be detected and described, providing significant information for further diagnostics and monitoring progress of the disease or response to therapy.

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“…This was attributed to the fact that simple vessel cannulation tasks were performed, which did not require complex operations (stent/balloon deployments) thus completion time and path length did not deviate significantly among participants. 111 In a subsequent study by the same group of researchers, a similar protocol was followed (the same inanimate model and cannulation tasks were used) but with experiments taking place on a Hansen Medical Magellan R robotic system. In this case, 21 participating surgeons (of varying endovascular experience) were categorized based on their prior experience with the robotic system as competent/non-competent.…”

Section: Surgical Skill Assessment From Catheter Motion Metricsmentioning

confidence: 99%

A Survey on the Current Status and Future Challenges Towards Objective Skills Assessment in Endovascular Surgery

Mazomenos

Chang

Rolls

et al. 2016

J. Med. Robot. Res.

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Minimally invasive endovascular interventions have evolved rapidly over the past decade, facilitated by breakthroughs in medical imaging and sensing, instrumentation and most recently robotics. Catheter-based operations are potentially safer and applicable to a wider patient population due to the reduced comorbidity. As a result endovascular surgery has become the preferred treatment option for conditions previously treated with open surgery and as such the number of patients undergoing endovascular interventions is increasing every year. This fact coupled with a proclivity for reduced working hours results in a requirement for efficient training and assessment of new surgeons, that deviates from the “see one, do one, teach one” model introduced by William Halsted, so that trainees obtain operational expertise in a shorter period. Developing more objective assessment tools based on quantitative metrics is now a recognized need in interventional training and this manuscript reports the current literature for endovascular skills assessment and the associated emerging technologies. A systematic search was performed on PubMed (MEDLINE), Google Scholar, IEEXplore and known journals using the keywords, “endovascular surgery”, “surgical skills”, “endovascular skills”, “surgical training endovascular” and “catheter skills”. Focusing explicitly on endovascular surgical skills, we group related works into three categories based on the metrics used; structured scales and checklists, simulation-based and motion-based metrics. This review highlights the key findings in each category and also provides suggestions for new research opportunities towards fully objective and automated surgical assessment solutions.

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On the development of objective metrics for surgical skills evaluation based on tool motion

Cited by 25 publications

References 23 publications

A robotic exoskeleton for rehabilitation and assessment of the upper limb following incomplete spinal cord injury

A robotic exoskeleton for rehabilitation and assessment of the upper limb following incomplete spinal cord injury

Spectral parameters for finger tapping quantification

A Survey on the Current Status and Future Challenges Towards Objective Skills Assessment in Endovascular Surgery

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