Hand Motion Analysis Using the Imperial College Surgical Assessment Device

Chin, Ki Jinn; Tse, Cyrus; Chan, Vincent; Tan, Jyh Shen; Lupu, Catalin; Hayter, Megan A.

doi:10.1097/aap.0b013e31820d4305

Cited by 76 publications

(20 citation statements)

References 11 publications

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“…In the case of anesthesia, only few reports have used objective assessment of technical skills, demonstrating a good correlation between scores obtained with the assessment tools and the expertise level [ 19 , 20 ]. Tracking motion devices like ICSAD have demonstrated construct validity in discriminating the different levels of expertise in anesthetic procedures, such as an epidural catheter insertion [ 25 ] or an ultrasound-guided peripheral nerve blockade [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

“…Total path length of both hands is registered, providing an effective index of technical skill during a procedure [ 7 , 23 ]. The ICSAD has demonstrated construct validity in many surgical procedures [ 23 , 24 ] and it has been used for objective assessment of proficiency in anesthetic procedures such as labor epidural placement [ 25 ] and ultrasound-guided peripheral nerve blockade [ 26 ]. To our knowledge, there are no previous reports using motion-tracking devices to assess proficiency in CVC.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of central venous catheterization in a simulated model using a motion-tracking device: an experimental validation study

et al. 2016

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BackgroundCentral venous catheterization (CVC) is a basic requirement for many medical specialties. Simulated training in CVC may allow the acquisition of this competency but few reports have established a valid methodology for learning and acquiring procedural skills for CVC. This study aims to validate the use of a tracking motion device, the imperial college surgical assessment device (ICSAD), by comparing it with validated global rating scales (GRS) to measure CVC performance in a simulated torso.MethodsSenior year medical students, first and last year residents (PGY1, LYR), and expert anesthesiologists performed a jugular CVC assessment in a simulated model (Laerdal IV Torso). A validated GRS for objective assessment of technical skills and motion analysis by ICSAD was used. Statistical analysis was performed through Mann–Whitney and Kruskal–Wallis tests for construct validity and Spearman correlation coefficients between the ICSAD and GRS scores for concurrent validity between both.Results32 subjects were recruited (10 medical students, 8 PGY1, 8 LYR and 8 experts). Total path length measured with ICSAD and GRS scores were significantly different between all groups, except for LYR compared to experts (p = 0.664 for GRS and p = 0.72 for ICSAD). Regarding jugular CVC procedural time, LYR and experts were faster than PGY1 and MS (p < 0.05). Spearman correlation coefficient was −0.684 (p < 0.001) between ICSAD and GRS scores.ConclusionsICSAD is a valid tool for assessment of jugular CVC since it differentiates between expert and novice subjects, and correlates with a validated GRS for jugular CVC in a simulated torso.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of central venous catheterization in a simulated model using a motion-tracking device: an experimental validation study

et al. 2016

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“…56 – 60 Others use a simulated environment to calculate procedural learning curves and observe practitioner ergonomics. 61 – 67 Although these articles touch on the topic of medical education in regional anesthesia, we consider them outside the scope of the present review on simulation-based educational interventions and their effectiveness.…”

Section: Other Published Topics Related To Simulation and Regional Anmentioning

confidence: 99%

Simulation in teaching regional anesthesia: current perspectives

Udani¹,

Kim²,

Howard³

et al. 2015

LRA

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The emerging subspecialty of regional anesthesiology and acute pain medicine represents an opportunity to evaluate critically the current methods of teaching regional anesthesia techniques and the practice of acute pain medicine. To date, there have been a wide variety of simulation applications in this field, and efficacy has largely been assumed. However, a thorough review of the literature reveals that effective teaching strategies, including simulation, in regional anesthesiology and acute pain medicine are not established completely yet. Future research should be directed toward comparative-effectiveness of simulation versus other accepted teaching methods, exploring the combination of procedural training with realistic clinical scenarios, and the application of simulation-based teaching curricula to a wider range of learner, from the student to the practicing physician.

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“…Thus new advanced simulators are not only training systems, but they can be assessment tools at the same time [11]. For their use in FMS assessment, surgical simulators should include a combination of hardware and software that enables to measure and process information from variables such as hand movements, applied forces, trajectories and timing [5,9,12,13,14,15,16]. These features are now available in most advanced devices like LapSim and LapVR, for laparoscopic surgery or NeuroVR, for neurosurgical simulation [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education

Lemos

Soto-Romero

2017

Sensors

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The traditional neurosurgical apprenticeship scheme includes the assessment of trainee’s manual skills carried out by experienced surgeons. However, the introduction of surgical simulation technology presents a new paradigm where residents can refine surgical techniques on a simulator before putting them into practice in real patients. Unfortunately, in this new scheme, an experienced surgeon will not always be available to evaluate trainee’s performance. For this reason, it is necessary to develop automatic mechanisms to estimate metrics for assessing manual dexterity in a quantitative way. Authors have proposed some hardware-software approaches to evaluate manual dexterity on surgical simulators. This paper presents IGlove, a wearable device that uses inertial sensors embedded on an elastic glove to capture hand movements. Metrics to assess manual dexterity are estimated from sensors signals using data processing and information analysis algorithms. It has been designed to be used with a neurosurgical simulator called Daubara NS Trainer, but can be easily adapted to another benchtop- and manikin-based medical simulators. The system was tested with a sample of 14 volunteers who performed a test that was designed to simultaneously evaluate their fine motor skills and the IGlove’s functionalities. Metrics obtained by each of the participants are presented as results in this work; it is also shown how these metrics are used to automatically evaluate the level of manual dexterity of each volunteer.

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Hand Motion Analysis Using the Imperial College Surgical Assessment Device

Abstract: The ICSAD is both valid and useful in assessing performance of ultrasound-guided supraclavicular block.

Cited by 76 publications

References 11 publications

Assessment of central venous catheterization in a simulated model using a motion-tracking device: an experimental validation study

Assessment of central venous catheterization in a simulated model using a motion-tracking device: an experimental validation study

Simulation in teaching regional anesthesia: current perspectives

An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education

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