Surgical Skill Assessment using Motor Control Features and Hidden Markov Model

Kuber Reddy Gorantla; Ehsan T. Esfahani

doi:10.1109/EMBC.2019.8857629

Surgical Skill Assessment using Motor Control Features and Hidden Markov Model

Kuber Reddy Gorantla
, Ehsan T. Esfahani

Department of Mechanical and Aerospace Engineering

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Surgical Skill Assessment has increased interest through which the training and objective feedback to surgeons can be given based on the task performance. In this paper, motor control features which are a part of psychomotor learning, are developed based on the camera plane coordinates of the tip of the tools from the videos of surgeons performing the Urethro-Vesicle Anastomosis (UVA) surgical task. Classification into Novices (N) and Experts (E), when compared to the manual encoding of subject expertise based on the Dreyfus model, resulted in high accuracy. Additionally, this study could form a basis for closed loop surgical training, specifically for the novitiate surgeons.

Original language	English
Title of host publication	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5842-5845
Number of pages	4
ISBN (Electronic)	9781538613115
DOIs	https://doi.org/10.1109/EMBC.2019.8857629
State	Published - Jul 2019
Event	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany Duration: Jul 23 2019 → Jul 27 2019

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Country/Territory	Germany
City	Berlin
Period	07/23/19 → 07/27/19

Access to Document

10.1109/EMBC.2019.8857629

Cite this

Gorantla, K. R., & Esfahani, E. T. (2019). Surgical Skill Assessment using Motor Control Features and Hidden Markov Model. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 5842-5845). Article 8857629 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2019.8857629

Gorantla, Kuber Reddy ; Esfahani, Ehsan T. / Surgical Skill Assessment using Motor Control Features and Hidden Markov Model. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5842-5845 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Surgical Skill Assessment using Motor Control Features and Hidden Markov Model",

abstract = "Surgical Skill Assessment has increased interest through which the training and objective feedback to surgeons can be given based on the task performance. In this paper, motor control features which are a part of psychomotor learning, are developed based on the camera plane coordinates of the tip of the tools from the videos of surgeons performing the Urethro-Vesicle Anastomosis (UVA) surgical task. Classification into Novices (N) and Experts (E), when compared to the manual encoding of subject expertise based on the Dreyfus model, resulted in high accuracy. Additionally, this study could form a basis for closed loop surgical training, specifically for the novitiate surgeons.",

author = "Gorantla, \{Kuber Reddy\} and Esfahani, \{Ehsan T.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

year = "2019",

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doi = "10.1109/EMBC.2019.8857629",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Gorantla, KR & Esfahani, ET 2019, Surgical Skill Assessment using Motor Control Features and Hidden Markov Model. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8857629, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 5842-5845, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 07/23/19. https://doi.org/10.1109/EMBC.2019.8857629

Surgical Skill Assessment using Motor Control Features and Hidden Markov Model. / Gorantla, Kuber Reddy; Esfahani, Ehsan T.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5842-5845 8857629 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Surgical Skill Assessment has increased interest through which the training and objective feedback to surgeons can be given based on the task performance. In this paper, motor control features which are a part of psychomotor learning, are developed based on the camera plane coordinates of the tip of the tools from the videos of surgeons performing the Urethro-Vesicle Anastomosis (UVA) surgical task. Classification into Novices (N) and Experts (E), when compared to the manual encoding of subject expertise based on the Dreyfus model, resulted in high accuracy. Additionally, this study could form a basis for closed loop surgical training, specifically for the novitiate surgeons.

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DO - 10.1109/EMBC.2019.8857629

M3 - Conference contribution

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AN - SCOPUS:85077884233

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

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Gorantla KR, Esfahani ET. Surgical Skill Assessment using Motor Control Features and Hidden Markov Model. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5842-5845. 8857629. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2019.8857629

Surgical Skill Assessment using Motor Control Features and Hidden Markov Model

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