Haptic based fundamentals of laparoscopic surgery simulation for training with objective assessments

触觉技术 计算机科学 虚拟现实 模拟 腹腔镜手术 渲染(计算机图形) 人机交互 沉浸式(数学) 人工智能 腹腔镜检查 医学 外科 数学 纯数学
作者
P. Abinaya,M. Manivannan
出处
期刊:Frontiers in Robotics and AI [Frontiers Media]
卷期号:11
标识
DOI:10.3389/frobt.2024.1363952
摘要

Force is crucial for learning psychomotor skills in laparoscopic tissue manipulation. Fundamental laparoscopic surgery (FLS), on the other hand, only measures time and position accuracy. FLS is a commonly used training program for basic laparoscopic training through part tasks. The FLS is employed in most of the laparoscopic training systems, including box trainers and virtual reality (VR) simulators. However, many laparoscopic VR simulators lack force feedback and measure tissue damage solely through visual feedback based on virtual collisions. Few VR simulators that provide force feedback have subjective force metrics. To provide an objective force assessment for haptic skills training in the VR simulators, we extend the FLS part tasks to haptic-based FLS (HFLS), focusing on controlled force exertion. We interface the simulated HFLS part tasks with a customized bi-manual haptic simulator that offers five degrees of freedom (DOF) for force feedback. The proposed tasks are evaluated through face and content validity among laparoscopic surgeons of varying experience levels. The results show that trainees perform better in HFLS tasks. The average Likert score observed for face and content validity is greater than 4.6 ± 0.3 and 4 ± 0.5 for all the part tasks, which indicates the acceptance of the simulator among subjects for its appearance and functionality. Face and content validations show the need to improve haptic realism, which is also observed in existing simulators. To enhance the accuracy of force rendering, we incorporated a laparoscopic tool force model into the simulation. We study the effectiveness of the model through a psychophysical study that measures just noticeable difference (JND) for the laparoscopic gripping task. The study reveals an insignificant decrease in gripping-force JND. A simple linear model could be sufficient for gripper force feedback, and a non-linear LapTool force model does not affect the force perception for the force range of 0.5-2.5 N. Further study is required to understand the usability of the force model in laparoscopic training at a higher force range. Additionally, the construct validity of HFLS will confirm the applicability of the developed simulator to train surgeons with different levels of experience.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无名发布了新的文献求助10
1秒前
1秒前
Skuld应助小尾巴采纳,获得10
1秒前
七七发布了新的文献求助10
2秒前
2秒前
何双发布了新的文献求助10
3秒前
一只龟龟完成签到,获得积分10
4秒前
呵呵呵呵完成签到,获得积分10
4秒前
5秒前
JamesPei应助weiwei采纳,获得10
6秒前
6秒前
7秒前
dsfsd发布了新的文献求助30
7秒前
7秒前
7秒前
8秒前
kk完成签到,获得积分10
9秒前
9秒前
9秒前
day_on发布了新的文献求助10
10秒前
明理的寒云完成签到,获得积分10
10秒前
10秒前
fei发布了新的文献求助10
11秒前
小飞机完成签到,获得积分10
11秒前
ding应助chenli900108采纳,获得10
12秒前
烂番茄发布了新的文献求助10
12秒前
追寻的凡松完成签到,获得积分10
12秒前
醉爱星星发布了新的文献求助30
12秒前
hyx完成签到,获得积分10
13秒前
一一关注了科研通微信公众号
13秒前
量子星尘发布了新的文献求助10
13秒前
小酒窝周周完成签到 ,获得积分10
14秒前
16秒前
汉堡包应助biubiu采纳,获得10
17秒前
思源应助rum采纳,获得10
17秒前
18秒前
18秒前
咩咩兔发布了新的文献求助10
18秒前
Alan完成签到,获得积分10
19秒前
20秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958507
求助须知:如何正确求助?哪些是违规求助? 3504843
关于积分的说明 11120375
捐赠科研通 3236122
什么是DOI,文献DOI怎么找? 1788663
邀请新用户注册赠送积分活动 871249
科研通“疑难数据库(出版商)”最低求助积分说明 802642