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Salisu S, Ruhaiyem NIR, Eisa TAE, Nasser M, Saeed F, Younis HA. Motion Capture Technologies for Ergonomics: A Systematic Literature Review. Diagnostics (Basel) 2023; 13:2593. [PMID: 37568956 PMCID: PMC10416907 DOI: 10.3390/diagnostics13152593] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 07/25/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
Muscular skeletal disorder is a difficult challenge faced by the working population. Motion capture (MoCap) is used for recording the movement of people for clinical, ergonomic and rehabilitation solutions. However, knowledge barriers about these MoCap systems have made them difficult to use for many people. Despite this, no state-of-the-art literature review on MoCap systems for human clinical, rehabilitation and ergonomic analysis has been conducted. A medical diagnosis using AI applies machine learning algorithms and motion capture technologies to analyze patient data, enhancing diagnostic accuracy, enabling early disease detection and facilitating personalized treatment plans. It revolutionizes healthcare by harnessing the power of data-driven insights for improved patient outcomes and efficient clinical decision-making. The current review aimed to investigate: (i) the most used MoCap systems for clinical use, ergonomics and rehabilitation, (ii) their application and (iii) the target population. We used preferred reporting items for systematic reviews and meta-analysis guidelines for the review. Google Scholar, PubMed, Scopus and Web of Science were used to search for relevant published articles. The articles obtained were scrutinized by reading the abstracts and titles to determine their inclusion eligibility. Accordingly, articles with insufficient or irrelevant information were excluded from the screening. The search included studies published between 2013 and 2023 (including additional criteria). A total of 40 articles were eligible for review. The selected articles were further categorized in terms of the types of MoCap used, their application and the domain of the experiments. This review will serve as a guide for researchers and organizational management.
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Affiliation(s)
- Sani Salisu
- School of Computer Sciences, Universiti Sains Malaysia, Gelugor 11800, Malaysia;
- Department of Information Technology, Federal University Dutse, Dutse 720101, Nigeria
| | | | | | - Maged Nasser
- Computer & Information Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia;
| | - Faisal Saeed
- DAAI Research Group, Department of Computing and Data Science, School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK;
| | - Hussain A. Younis
- School of Computer Sciences, Universiti Sains Malaysia, Gelugor 11800, Malaysia;
- College of Education for Women, University of Basrah, Basrah 61004, Iraq
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Lee A, Torkamani-Azar M, Zheng B, Bednarik R. Unpacking the Broad Landscape of Intraoperative Stressors for Clinical Personnel: A Mixed-Methods Systematic Review. J Multidiscip Healthc 2023; 16:1953-1977. [PMID: 37484819 PMCID: PMC10361288 DOI: 10.2147/jmdh.s401325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 06/09/2023] [Indexed: 07/25/2023] Open
Abstract
Purpose The main goals of this mixed-methods systematic review are to identify what types of intraoperative stressors for operating room personnel have been reported in collected studies and examine the characteristics of each intraoperative stressor. Methods With a systematic literature search, we retrieved empirical studies examining intraoperative stress published between 2010 and 2020. To synthesize findings, we applied two approaches. First, a textual narrative synthesis was employed to summarize key study information of the selected studies by focusing on surgical platforms and study participants. Second, a thematic synthesis was employed to identify and characterize intraoperative stressors and their subtypes. Results Ninety-four studies were included in the review. Regarding the surgical platforms, the selected studies mainly focused on minimally invasive surgery and few studies examined issues around robotic surgery. Most studies examined intra-operative stress from surgeons' perspectives but rarely considered other clinical personnel such as nurses and anesthetists. Among seven identified stressors, technical factors were the most frequently examined followed by individual, operating room environmental, interpersonal, temporal, patient, and organizational factors. Conclusion By presenting stressors as multifaceted elements affecting collaboration and interaction between multidisciplinary team members in the operating room, we discuss the potential interactions between stressors which should be further investigated to build a safe and efficient environment for operating room personnel.
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Affiliation(s)
- Ahreum Lee
- Samsung Electronics Co. Ltd., Suwon, Gyeonggi-do, Republic of Korea
| | | | - Bin Zheng
- Department of Surgery, University of Alberta, Edmonton, Canada
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Jackson KL, Durić Z, Engdahl SM, Santago II AC, DeStefano S, Gerber LH. Computer-assisted approaches for measuring, segmenting, and analyzing functional upper extremity movement: a narrative review of the current state, limitations, and future directions. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:1130847. [PMID: 37113748 PMCID: PMC10126348 DOI: 10.3389/fresc.2023.1130847] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/23/2023] [Indexed: 04/29/2023]
Abstract
The analysis of functional upper extremity (UE) movement kinematics has implications across domains such as rehabilitation and evaluating job-related skills. Using movement kinematics to quantify movement quality and skill is a promising area of research but is currently not being used widely due to issues associated with cost and the need for further methodological validation. Recent developments by computationally-oriented research communities have resulted in potentially useful methods for evaluating UE function that may make kinematic analyses easier to perform, generally more accessible, and provide more objective information about movement quality, the importance of which has been highlighted during the COVID-19 pandemic. This narrative review provides an interdisciplinary perspective on the current state of computer-assisted methods for analyzing UE kinematics with a specific focus on how to make kinematic analyses more accessible to domain experts. We find that a variety of methods exist to more easily measure and segment functional UE movement, with a subset of those methods being validated for specific applications. Future directions include developing more robust methods for measurement and segmentation, validating these methods in conjunction with proposed kinematic outcome measures, and studying how to integrate kinematic analyses into domain expert workflows in a way that improves outcomes.
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Affiliation(s)
- Kyle L. Jackson
- Department of Computer Science, George Mason University, Fairfax, VA, United States
- MITRE Corporation, McLean, VA, United States
| | - Zoran Durić
- Department of Computer Science, George Mason University, Fairfax, VA, United States
- Center for Adaptive Systems and Brain-Body Interactions, George Mason University, Fairfax, VA, United States
| | - Susannah M. Engdahl
- Center for Adaptive Systems and Brain-Body Interactions, George Mason University, Fairfax, VA, United States
- Department of Bioengineering, George Mason University, Fairfax, VA, United States
- American Orthotic & Prosthetic Association, Alexandria, VA, United States
| | | | | | - Lynn H. Gerber
- Center for Adaptive Systems and Brain-Body Interactions, George Mason University, Fairfax, VA, United States
- College of Public Health, George Mason University, Fairfax, VA, United States
- Inova Health System, Falls Church, VA, United States
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Matsumoto S, Kawahira H, Oiwa K, Maeda Y, Nozawa A, Lefor AK, Hosoya Y, Sata N. Laparoscopic surgical skill evaluation with motion capture and eyeglass gaze cameras: A pilot study. Asian J Endosc Surg 2022; 15:619-628. [PMID: 35598888 DOI: 10.1111/ases.13065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/28/2022] [Accepted: 03/30/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION An eyeglass gaze camera and a skeletal coordinate camera without sensors attached to the operator's body were used to monitor gaze and movement during a simulated surgical procedure. These new devices have the potential to change skill assessment for laparoscopic surgery. The suitability of these devices for skill assessment was investigated. MATERIAL AND METHODS Six medical students, six intermediate surgeons, and four experts performed suturing tasks in a dry box. The tip positions of the instruments were identified from video recordings. Performance was evaluated based on instrument movement, gaze, and skeletal coordination. RESULTS Task performance time and skeletal coordinates were not significantly different among skill levels. The total movement distance of the right instrument was significantly different depending on the skill level. The SD of the gaze coordinates was significantly different depending on skill level and was less for experts. The expert's gaze stayed in a small area with little blurring. CONCLUSIONS The SD of gaze point coordinates correlates with laparoscopic surgical skill level. These devices may facilitate objective intraoperative skill evaluation in future studies.
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Affiliation(s)
- Shiro Matsumoto
- Department of Surgery, Jichi Medical University, Tochigi, Japan
| | - Hiroshi Kawahira
- Medical Simulation Center, Jichi Medical University, Tochigi, Japan
| | - Kosuke Oiwa
- Department of Electrical Engineering and Electronics, Aoyama Gakuin University, Kanagawa, Japan
| | - Yoshitaka Maeda
- Medical Simulation Center, Jichi Medical University, Tochigi, Japan
| | - Akio Nozawa
- Department of Electrical Engineering and Electronics, Aoyama Gakuin University, Kanagawa, Japan
| | | | | | - Naohiro Sata
- Department of Surgery, Jichi Medical University, Tochigi, Japan
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Shiang A, Wang JS, Kushner B, Panahi AK, Awad MM. Smaller hands and less experience are associated with greater ergonomic strain during endoscopic procedures. Surg Endosc 2021; 36:5104-5109. [PMID: 34845543 DOI: 10.1007/s00464-021-08876-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 11/14/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Up to 89% of physicians who routinely perform endoscopy experience some type of musculoskeletal pain. In this study, we sought to quantitatively analyze provider factors that influence ergonomic strain during live endoscopic procedures. METHODS Surface electromyography (sEMG) was used to measure ergonomic strain on physicians while performing upper and lower endoscopies. EMG data were normalized to a maximal voluntary contraction (MVC) recording for each muscle group, yielding a %MVC value. Subgroup analyses were performed based on glove size, physician training level, specialty, and handedness. RESULTS A total of 165 upper (n = 68) and lower (n = 97) endoscopies were recorded. Endoscopists with small hand sizes had significantly higher ergonomic strain in the left anterior and posterior forearm muscle compartments as compared to endoscopists with medium or large hands (%MVC L-anterior: small: 9.1 ± 1.1; medium: 6.4 ± 1.2; large: 5.9 ± 1.6; p < 0.001); (%MVC L-posterior: small: 12.0 ± 0.8; medium: 9.4 ± 1.3; large: 8.8 ± 1.4; p < 0.001). Additionally, upper body muscle groups had significantly higher ergonomic strain in endoscopists with less lifetime endoscopic experience (%MVC R-trapezius: expert: 8.4 ± 1.2; novice: 9.3 ± 1.2; p < 0.05); (%MVC R-deltoid: expert: 6.1 ± 1.4; novice: 8.5 ± 1.3; p < 0.001). There were no significant ergonomic differences between surgeons or gastroenterologists and no differences between right- and left-handed dominant individuals. CONCLUSIONS Endoscopists with small hands experienced great ergonomic strain in their left forearm. Our data support the widely held belief that "one size does not fit all" and will hopefully spark change in the design of future endoscopes by device manufacturers. Our data also support that the experience level of the endoscopist contributed significantly to ergonomic performance, likely due to postural differences leading to decreased upper body strain. Therefore, it remains critically important to educate young proceduralists on strategies for ergonomic relief early in his or her endoscopic training program that can ameliorate ergonomic strain that accrues over the lifetime of a physician's career.
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Affiliation(s)
- Alexander Shiang
- Washington University School of Medicine in St. Louis, 718 S. Euclid Ave. Apt. 112, St. Louis, MO, 63110, USA.
| | - Jean S Wang
- Washington University School of Medicine in St. Louis, 718 S. Euclid Ave. Apt. 112, St. Louis, MO, 63110, USA
| | - Bradley Kushner
- Washington University School of Medicine in St. Louis, 718 S. Euclid Ave. Apt. 112, St. Louis, MO, 63110, USA
| | - Ali K Panahi
- Nova Southeastern University, Fort Lauderdale, FL, USA
| | - Michael M Awad
- Washington University School of Medicine in St. Louis, 718 S. Euclid Ave. Apt. 112, St. Louis, MO, 63110, USA
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Ebina K, Abe T, Komizunai S, Tsujita T, Sase K, Chen X, Higuchi M, Furumido J, Iwahara N, Kurashima Y, Shinohara N, Konno A. Development and Validation of a Measurement System for Laparoscopic Surgical Procedures. ACTA ACUST UNITED AC 2021. [DOI: 10.9746/jcmsi.13.191] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Koki Ebina
- Graduate School of Information Science and Technology, Hokkaido University
| | | | - Shunsuke Komizunai
- Graduate School of Information Science and Technology, Hokkaido University
| | - Teppei Tsujita
- Graduate School of Science and Engineering, National Defense Academy
| | - Kazuya Sase
- Department of Mechanical Engineering and Intelligent Systems, Tohoku Gakuin University
| | - Xiaoshuai Chen
- Graduate School of Science and Technology, Hirosaki University
| | | | - Jun Furumido
- Graduate School of Medicine, Hokkaido University
| | | | - Yo Kurashima
- Graduate School of Medicine, Hokkaido University
| | | | - Atsushi Konno
- Graduate School of Information Science and Technology, Hokkaido University
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Colley N, Mani H, Ninomiya S, Komizunai S, Murata E, Oshita H, Taneda K, Shima Y, Asaka T. Effective Catheter Manoeuvre for the Removal of Phlegm by Suctioning: A Biomechanical Analysis of Experts and Novices. J Med Biol Eng 2020; 40:340-347. [PMID: 32421097 PMCID: PMC7223703 DOI: 10.1007/s40846-020-00521-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 04/15/2020] [Indexed: 11/30/2022]
Abstract
Purpose The aim of this study was to determine the effective biomechanical technique for suctioning phlegm. Methods A novel tracheal suctioning simulator combined with a motion capture system was used to calculate the amount of simulated phlegm suctioned and the biomechanical parameters of the associated suctioning manoeuvre. A laboratory study, including 12 nurses with > 3 years of suctioning experience and 12 nursing students without any clinical suctioning experience, was conducted. The amount of phlegm suctioned, the maximum length of catheter insertion, and the biomechanical parameters of hand movement were calculated. Results The mean amount of phlegm suctioned per second was significantly larger in the experienced group than in the non-experienced group. The amount of phlegm suctioned correlated positively with the length of the vertical path of motion of the wrist and forearm, and with the angular velocity of thumb rotation in both the groups. Conclusion Greater vertical motion of the wrist and thumb rotation improved the effectiveness of phlegm suctioning and prevented the need for deep suctioning, which is unsafe.
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Affiliation(s)
- Noriyo Colley
- 1Department of Nursing, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hiroki Mani
- 2Department of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, N12-W5, Kita-ku, Sapporo, Hokkaido Japan
| | - Shinji Ninomiya
- 3Department of Clinical Engineering, Hiroshima International University, Hiroshima, Japan
| | - Shunsuke Komizunai
- 4Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
| | - Eri Murata
- 1Department of Nursing, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hiroka Oshita
- 5Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Kenji Taneda
- 5Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Yusuke Shima
- 5Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Tadayoshi Asaka
- 2Department of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, N12-W5, Kita-ku, Sapporo, Hokkaido Japan
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Abstract
PURPOSE OF REVIEW Although much has been written regarding ergonomics in ophthalmology, little information is available regarding the specific ergonomic concerns of pediatric ophthalmology and in particular, of strabismus surgery. This article will summarize current findings pertaining to musculoskeletal disorders in ophthalmology and review their implications for strabismus surgeons. RECENT FINDINGS Optical motion capture is a promising alternative to older qualitative and quantitative methods for evaluating ergonomic posture. Recent studies support the need for training to reduce work-related musculoskeletal disorders.
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Bilgic E, Alyafi M, Hada T, Landry T, Fried GM, Vassiliou MC. Simulation platforms to assess laparoscopic suturing skills: a scoping review. Surg Endosc 2019; 33:2742-2762. [PMID: 31089881 DOI: 10.1007/s00464-019-06821-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 05/03/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Laparoscopic suturing (LS) has become a common technique used in a variety of advanced laparoscopic procedures. However, LS is a challenging skill to master, and many trainees may not be competent in performing LS at the end of their training. The purpose of this review is to identify simulation platforms available for assessment of LS skills, and determine the characteristics of the platforms and the LS skills that are targeted. METHODS A scoping review was conducted between January 1997 and October 2018 for full-text articles. The search was done in various databases. Only articles written in English or French were included. Additional studies were identified through reference lists. The search terms included "laparoscopic suturing" and "clinical competence." RESULTS Sixty-two studies were selected. The majority of the simulation platforms were box trainers with inanimate tissue, and targeted basic suturing and intracorporeal knot-tying techniques. Most of the validation came from internal structure (rater reliability) and relationship to other variables (compare training levels/case experience, and various metrics). Consequences were not addressed in any of the studies. CONCLUSION We identified many types of simulation platforms that were used for assessing LS skills, with most being for assessment of basic skills. Platforms assessing the competence of trainees for advanced LS skills were limited. Therefore, future research should focus on development of LS tasks that better reflect the needs of the trainees.
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Affiliation(s)
- Elif Bilgic
- Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada.,Steinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada
| | - Motaz Alyafi
- Steinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada
| | - Tomonori Hada
- Steinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada
| | - Tara Landry
- Montreal General Hospital Medical Library, McGill University Health Centre, Montreal, QC, Canada
| | - Gerald M Fried
- Steinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada
| | - Melina C Vassiliou
- Steinberg-Bernstein Centre for Minimally Invasive Surgery and Innovation, McGill University Health Centre, 1650, Cedar Avenue, L9. 313, Montreal, QC, H3G 1A4, Canada.
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Design of a Smartphone Indoor Positioning Dynamic Ground Truth Reference System Using Robust Visual Encoded Targets. SENSORS 2019; 19:s19051261. [PMID: 30871126 PMCID: PMC6427402 DOI: 10.3390/s19051261] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 03/03/2019] [Accepted: 03/07/2019] [Indexed: 12/02/2022]
Abstract
Smartphone indoor positioning ground truth is difficult to directly, dynamically, and precisely measure in real-time. To solve this problem, this paper proposes and implements a robust smartphone high-precision indoor positioning dynamic real-time ground truth reference system using color visual scatter-encoded targets based on machine vision and photogrammetry. First, a kind of novel high-precision color vision scatter-encoded patterns with a robust recognition rate is designed. Then we use a smartphone to obtain a sequence of images of an experimental room and extract the base points of the color visual scatter-encoded patterns from the sequence images to establish the indoor local coordinate system of the encoded targets. Finally, we use a high-efficiency algorithm to decode the targets of a real-time dynamic shooting image to obtain accurate instantaneous pose information of a smartphone camera and establish the high-precision and high-availability smartphone indoor positioning direct ground truth reference system for preliminary real-time accuracy evaluation of other smartphone positioning technologies. The experimental results show that the encoded targets of the color visual scatter-encoded pattern designed in this paper are easy to detect and identify, and the layout is simple and affordable. It can accurately and quickly solve the dynamic instantaneous pose of a smartphone camera to complete the self-positioning of the smartphone according to the artificial scatter feature visual positioning technology. It is a fast, efficient and low-cost accuracy-evaluation method for smartphone indoor positioning.
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