Literature DB >> 33598368

Autonomous Robot for Removing Superficial Traumatic Blood.

Baiquan Su1, Shi Yu1, Xintong Li1, Yi Gong1, Han Li1, Zifeng Ren1, Yijing Xia1, He Wang1, Yucheng Zhang1, Wei Yao2, Junchen Wang3,4, Jie Tang5.   

Abstract

Objective: To remove blood from an incision and find the incision spot is a key task during surgery, or else over discharge of blood will endanger a patient's life. However, the repetitive manual blood removal involves plenty of workload contributing fatigue of surgeons. Thus, it is valuable to design a robotic system which can automatically remove blood on the incision surface.
Methods: In this paper, we design a robotic system to fulfill the surgical task of the blood removal. The system consists of a pair of dual cameras, a 6-DoF robotic arm, an aspirator whose handle is fixed to a robotic arm, and a pump connected to the aspirator. Further, a path-planning algorithm is designed to generate a path, which the aspirator tip should follow to remove blood.
Results: In a group of simulating bleeding experiments on ex vivo porcine tissue, the contour of the blood region is detected, and the reconstructed spatial coordinates of the detected blood contour is obtained afterward. The BRR robot cleans thoroughly the blood running out the incision. Conclusions: This study contributes the first result on designing an autonomous blood removal medical robot. The skill of the surgical blood removal operation, which is manually operated by surgeons nowadays, is alternatively grasped by the proposed BRR medical robot.

Entities:  

Keywords:  Blood removal; contour detection; medical robot; task autonomy

Mesh:

Year:  2021        PMID: 33598368      PMCID: PMC7880304          DOI: 10.1109/JTEHM.2021.3056618

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  13 in total

1.  Supervised Autonomous Electrosurgery via Biocompatible Near-Infrared Tissue Tracking Techniques.

Authors:  H Saeidi; J Ge; M Kam; J D Opfermann; S Leonard; A S Joshi; A Krieger
Journal:  IEEE Trans Med Robot Bionics       Date:  2019-10-28

2.  Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video.

Authors:  Yixuan Yuan; Baopu Li; Max Q-H Meng
Journal:  IEEE J Biomed Health Inform       Date:  2015-02-06       Impact factor: 5.772

3.  An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets.

Authors:  Hyunkwang Lee; Sehyo Yune; Mohammad Mansouri; Myeongchan Kim; Shahein H Tajmir; Claude E Guerrier; Sarah A Ebert; Stuart R Pomerantz; Javier M Romero; Shahmir Kamalian; Ramon G Gonzalez; Michael H Lev; Synho Do
Journal:  Nat Biomed Eng       Date:  2018-12-17       Impact factor: 25.671

4.  Supervised autonomous robotic soft tissue surgery.

Authors:  Azad Shademan; Ryan S Decker; Justin D Opfermann; Simon Leonard; Axel Krieger; Peter C W Kim
Journal:  Sci Transl Med       Date:  2016-05-04       Impact factor: 17.956

5.  Medical robotics-Regulatory, ethical, and legal considerations for increasing levels of autonomy.

Authors:  Guang-Zhong Yang; James Cambias; Kevin Cleary; Eric Daimler; James Drake; Pierre E Dupont; Nobuhiko Hata; Peter Kazanzides; Sylvain Martel; Rajni V Patel; Veronica J Santos; Russell H Taylor
Journal:  Sci Robot       Date:  2017-03-15

6.  A Bayesian Formulation of Coherent Point Drift.

Authors:  Osamu Hirose
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2021-06-08       Impact factor: 6.226

7.  CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video.

Authors:  Tonmoy Ghosh; Shaikh Anowarul Fattah; Khan A Wahid
Journal:  IEEE J Transl Eng Health Med       Date:  2018-01-24       Impact factor: 3.316

8.  Atrioventricular node ablation in Langendorff-perfused porcine hearts using carbon ion particle therapy: methods and an in vivo feasibility investigation for catheter-free ablation of cardiac arrhythmias.

Authors:  H Immo Lehmann; Daniel Richter; Hannah Prokesch; Christian Graeff; Matthias Prall; Palma Simoniello; Claudia Fournier; Julia Bauer; Robert Kaderka; Alexander Weymann; Gábor Szabó; Karin Sonnenberg; Anna M Constantinescu; Susan B Johnson; Juna Misiri; Mitsuru Takami; Robert C Miller; Michael G Herman; Samuel J Asirvatham; Stephan Brons; Oliver Jäkel; Thomas Haberer; Jürgen Debus; Marco Durante; Christoph Bert; Douglas L Packer
Journal:  Circ Arrhythm Electrophysiol       Date:  2015-01-21

9.  Mask R-CNN.

Authors:  Kaiming He; Georgia Gkioxari; Piotr Dollar; Ross Girshick
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2018-06-05       Impact factor: 6.226

10.  Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration.

Authors:  Mohammad R Arbabshirani; Brandon K Fornwalt; Gino J Mongelluzzo; Jonathan D Suever; Brandon D Geise; Aalpen A Patel; Gregory J Moore
Journal:  NPJ Digit Med       Date:  2018-04-04
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  1 in total

Review 1.  The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.

Authors:  Andrew A Gumbs; Vincent Grasso; Nicolas Bourdel; Roland Croner; Gaya Spolverato; Isabella Frigerio; Alfredo Illanes; Mohammad Abu Hilal; Adrian Park; Eyad Elyan
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

  1 in total

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