Surgical tooltip motion metrics assessment using virtual marker: an objective approach to skill assessment for minimally invasive surgery

Aghazadeh, Farzad; Zheng, Bin; Tavakoli, Mahdi; Rouhani, Hossein

doi:10.1007/s11548-023-03007-9

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…In daily practice, people must execute motor tasks, especially precise aiming tasks, in various work environments. For example, surgeons have to perform intricate aiming tasks during laparoscopic surgeries [ 3 , 4 , 5 , 6 ], drivers have to aim at and touch different control buttons within moving vehicles [ 7 , 8 , 9 ], and pilots have to delicately aim at and touch sophisticated cockpit control panels in aircrafts [ 2 , 5 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Li,

Grant

et al. 2024

Sensors

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Working on a moving platform can significantly impede human performance. Previous studies on moving vehicles have often focused on the overall impact on general task performance, whereas our study’s emphasis is on precise hand movements, exploring the interaction between body motion and the escalation of task difficulty. We recruited 28 participants to engage in reciprocal aiming tasks, following Paul Fitts’s setting, under both in-motion and stationary conditions. The task index of difficulty (ID) was manipulated by varying the width of the targets and the distance between the targets. We measured participants’ movement time (MT), performance errors, and monitored their eye movements using an eye-tracking device, heart rate (HR), and respiration rate (RR) during the tasks. The measured parameters were compared across two experimental conditions and three ID levels. Compared to the stationary conditions, the in-motion conditions degraded human aiming performance, resulting in significantly prolonged MT, increased errors, and longer durations of eye fixations and saccades. Furthermore, HR and RR increased under the in-motion conditions. Linear relationships between MT and ID exhibited steeper slopes under the in-motion conditions compared to the stationary conditions. This study builds a foundation for us to explore the control mechanisms of individuals working in dynamic and demanding environments, such as pilots in airplanes and paramedics in ambulances.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Li,

Grant

et al. 2024

Sensors

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“…Assessing both dominant and non-dominant hand use in laparoscopic surgery is important since it is a critical aspect of surgical performance [26][27][28]. Previous research has shown that the use of the non-dominant hand can significantly impact surgical performance, and the development of skills with the non-dominant hand can improve overall surgical proficiency [29,30].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Hand Dominance on Laparoscopic Surgical Skills Development Using Network Models

Malisetty,

Rastegari,

Siu

et al. 2024

JCM

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Background: Laparoscopic surgery demands high precision and skill, necessitating effective training protocols that account for factors such as hand dominance. This study investigates the impact of hand dominance on the acquisition and proficiency of laparoscopic surgical skills, utilizing a novel assessment method that combines Network Models and electromyography (EMG) data. Methods: Eighteen participants, comprising both medical and non-medical students, engaged in laparoscopic simulation tasks, including peg transfer and wire loop tasks. Performance was assessed using Network Models to analyze EMG data, capturing muscle activity and learning progression. The NASA Task Load Index (TLX) was employed to evaluate subjective task demands and workload perceptions. Results: Our analysis revealed significant differences in learning progression and skill proficiency between dominant and non-dominant hands, suggesting the need for tailored training approaches. Network Models effectively identified patterns of skill acquisition, while NASA-TLX scores correlated with participants’ performance and learning progression, highlighting the importance of considering both objective and subjective measures in surgical training. Conclusions: The study underscores the importance of hand dominance in laparoscopic surgical training and suggests that personalized training protocols could enhance surgical precision, efficiency, and patient outcomes. By leveraging advanced analytical techniques, including Network Models and EMG data analysis, this research contributes to optimizing clinical training methodologies, potentially revolutionizing surgical education and improving patient care.

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Characterization of Wearable Respiratory Sensors for Breathing Parameter Measurements

Sabz,

MacLean,

Martin

et al. 2024

IEEE Sensors J.

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Surgical tooltip motion metrics assessment using virtual marker: an objective approach to skill assessment for minimally invasive surgery

Cited by 4 publications

References 32 publications

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals

Exploring the Impact of Hand Dominance on Laparoscopic Surgical Skills Development Using Network Models

Characterization of Wearable Respiratory Sensors for Breathing Parameter Measurements

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