一个原型智能手机颌骨跟踪应用程序,定量模拟牙齿接触

Kieran Armstrong, Carolyn Kincade, Martin Osswald, Jana Rieger, Daniel Aalto
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Finally, occlusal contacts of left, right, and protrusive excursions were tracked with the prototype system and their trajectories were used to demonstrate kinematic modelling (no occlusal forces) with a biomechanical simulation tool.KEYWORDS: Smartphonedental occlusioncomputer visionjaw trackingbiomechanical simulation AcknowledgmentsThe authors would like to thank the Institute for Reconstructive Science in Medicine at the Misericordia Community Hospital in Edmonton Alberta for their help with the design and 3D printing of the tracking harnesses.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsKieran ArmstrongKieran Armstrong, holds a BEng in biomedical engineering from the University of Victoria and an MSc in rehabilitation science from the University of Alberta. His MSc research focused on computer modeling for dental prosthetic biomechanics in head and neck cancer treatment. Working in the wearable biometric sensing industry, his focus is on exploring how optical biometric sensing methods can be used to make meaningful connections to biological signals, like photoplethysmography to help people monitor their health and fitness.Carolyn KincadeCarolyn Kincade is a seasoned healthcare professional with a strong background in quality management and patient care. As a traditionally trained Dental Technologist she has enjoyed the transition of analog case work to digital. She is currently engaged in furthering her studies with a Master of Technology Management, though Memorial University of Newfoundland, to build upon her Diploma in Dental Technology and Bachelor of Technology from the Northern Alberta Institute of Technology. Carolyn also engages with the regulatory community in many ways, having served in various committee roles as part of the College of Dental Technologists of Alberta. Carolyn continues to make a meaningful impact in the healthcare field, bringing her expertise to the forefront for quality healthcare delivery.Jana RiegerJana Rieger, PhD is a global leader in functional outcomes assessment related to head and neck disorders. Over her 20-year career in this field, Jana has held roles as a professor, clinician, researcher, and most recently, entrepreneur. Jana and her team have developed, tested, and commercialized the Mobili-T: a novel mHealth “smart” software-based device for people with dysphagia (i.e., swallowing disorders). Over the course of her academic career, Jana also set-up and deployed an innovative health outcomes assessment program that is internationally-renowned and is credited as the gold standard in the field. She is an expert in international team building and brought together thought leaders from four different countries to participate in an innovative research network, the Head and Neck Research Network (HNRN). As the first director of that network, she developed the policies and procedures, databases, privacy impact assessments and ethical approvals for the group, creating a strong foundation for governance. Jana excels in thought leadership. She has functioned at a director level within a health-care institution to bring together diverse groups of clinicians, researchers, and policy-makers.Daniel AaltoDr. Daniel Aalto is an Associate professor in the Department of Communications Sciences and Disorders in the Faculty of Rehabilitation Medicine at the University of Alberta. He holds joint appointment at the Institute for Reconstructive Sciences in Medicine (iRSM) where he is a research scientist. He obtained his MSc and PhD (engineering physics and mathematics) from Aalto University, Finland. Dr. Aalto’s research interests are in computer modeling of head and neck functions including tongue mobility, speech acoustics, articulation, hearing, swallowing, and chewing. 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引用次数: 0

摘要

摘要本研究利用了一个原型系统,该系统由一个与上颌和下颌骨连接的个性化3D打印颌骨跟踪装置和在智能手机上实现的定制颌骨跟踪软件组成。原型机取得了可接受的结果。样机显示静态位置精度小于1毫米和5°。它成功地跟踪了30个周期的突出偏移,左侧偏移和40毫米的下颌开口在半可调节关节。跟踪精度的标准误差分别为0.1377 mm、0.0449 mm和0.9196 mm,相应的r2值分别为0.98、1.00和1.00。最后,使用原型系统跟踪左、右和突出的咬合接触,并使用生物力学模拟工具使用它们的轨迹来演示运动学建模(无咬合力)。作者要感谢艾伯塔省埃德蒙顿Misericordia社区医院医学重建科学研究所在跟踪束带的设计和3D打印方面的帮助。披露声明作者未报告潜在的利益冲突。kieran Armstrong,拥有维多利亚大学生物医学工程学士学位和阿尔伯塔大学康复科学硕士学位。他的硕士研究方向是头颈部癌症治疗中牙义肢生物力学的计算机建模。在可穿戴生物识别传感行业工作,他的重点是探索如何使用光学生物识别传感方法与生物信号建立有意义的联系,如光容积脉搏波,以帮助人们监测他们的健康和健身。Carolyn Kincade是一位经验丰富的医疗保健专业人士,在质量管理和患者护理方面拥有强大的背景。作为一名受过传统训练的牙科技师,她很享受从模拟案例工作到数字化的过渡。她目前在纽芬兰纪念大学攻读技术管理硕士学位,以获得北阿尔伯塔理工学院牙科技术文凭和技术学士学位为基础。Carolyn还以多种方式与监管机构合作,曾在阿尔伯塔省牙科技术学院担任各种委员会职务。Carolyn继续在医疗保健领域产生有意义的影响,将她的专业知识带到优质医疗保健服务的最前沿。Jana RiegerJana Rieger博士是头颈部疾病相关功能结果评估的全球领导者。在该领域20年的职业生涯中,Jana担任过教授、临床医生、研究员,最近还担任过企业家。Jana和她的团队已经开发、测试并商业化了Mobili-T:一种新型的基于软件的移动健康“智能”设备,用于患有吞咽困难(即吞咽障碍)的人。在她的学术生涯中,Jana还建立并部署了一个创新的健康结果评估项目,该项目在国际上享有盛誉,被认为是该领域的黄金标准。她是国际团队建设方面的专家,她将来自四个不同国家的思想领袖聚集在一起,参与了一个创新的研究网络——头颈部研究网络(HNRN)。作为该网络的第一任主管,她为该组织制定了政策和程序、数据库、隐私影响评估和道德批准,为治理奠定了坚实的基础。Jana擅长思想领导。她曾在一家卫生保健机构担任主任级别的职务,将不同群体的临床医生、研究人员和决策者聚集在一起。丹尼尔AaltoDr。丹尼尔·阿尔托(Daniel Aalto)是阿尔伯塔大学康复医学系通信科学与障碍系的副教授。他在医学重建科学研究所(iRSM)担任联合研究员,担任研究科学家。他在芬兰阿尔托大学获得工程物理和数学硕士和博士学位。他的研究兴趣是头部和颈部功能的计算机建模,包括舌头活动、语音、发音、听力、吞咽和咀嚼。此外,他积极探索新的设计和仿真技术,以支持头颈部重建手术的虚拟规划和手术执行。
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A prototype smartphone jaw tracking application to quantitatively model tooth contact
ABSTRACTThis study utilised a prototype system which consisted of a person-specific 3D printed jaw tracking harness interfacing with the maxillary and mandibular teeth and custom jaw tracking software implemented on a smartphone. The prototype achieved acceptable results. The prototype demonstrated a static position accuracy of less than 1 mm and 5°. It successfully tracked 30 cycles of a protrusive excursion, left lateral excursion, and 40 mm of jaw opening on a semi-adjustable articulator. The standard error of the tracking accuracy was reported as 0.1377 mm, 0.0449 mm, and 0.9196 mm, with corresponding r2 values of 0.98, 1.00, and 1.00, respectively. Finally, occlusal contacts of left, right, and protrusive excursions were tracked with the prototype system and their trajectories were used to demonstrate kinematic modelling (no occlusal forces) with a biomechanical simulation tool.KEYWORDS: Smartphonedental occlusioncomputer visionjaw trackingbiomechanical simulation AcknowledgmentsThe authors would like to thank the Institute for Reconstructive Science in Medicine at the Misericordia Community Hospital in Edmonton Alberta for their help with the design and 3D printing of the tracking harnesses.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsKieran ArmstrongKieran Armstrong, holds a BEng in biomedical engineering from the University of Victoria and an MSc in rehabilitation science from the University of Alberta. His MSc research focused on computer modeling for dental prosthetic biomechanics in head and neck cancer treatment. Working in the wearable biometric sensing industry, his focus is on exploring how optical biometric sensing methods can be used to make meaningful connections to biological signals, like photoplethysmography to help people monitor their health and fitness.Carolyn KincadeCarolyn Kincade is a seasoned healthcare professional with a strong background in quality management and patient care. As a traditionally trained Dental Technologist she has enjoyed the transition of analog case work to digital. She is currently engaged in furthering her studies with a Master of Technology Management, though Memorial University of Newfoundland, to build upon her Diploma in Dental Technology and Bachelor of Technology from the Northern Alberta Institute of Technology. Carolyn also engages with the regulatory community in many ways, having served in various committee roles as part of the College of Dental Technologists of Alberta. Carolyn continues to make a meaningful impact in the healthcare field, bringing her expertise to the forefront for quality healthcare delivery.Jana RiegerJana Rieger, PhD is a global leader in functional outcomes assessment related to head and neck disorders. Over her 20-year career in this field, Jana has held roles as a professor, clinician, researcher, and most recently, entrepreneur. Jana and her team have developed, tested, and commercialized the Mobili-T: a novel mHealth “smart” software-based device for people with dysphagia (i.e., swallowing disorders). Over the course of her academic career, Jana also set-up and deployed an innovative health outcomes assessment program that is internationally-renowned and is credited as the gold standard in the field. She is an expert in international team building and brought together thought leaders from four different countries to participate in an innovative research network, the Head and Neck Research Network (HNRN). As the first director of that network, she developed the policies and procedures, databases, privacy impact assessments and ethical approvals for the group, creating a strong foundation for governance. Jana excels in thought leadership. She has functioned at a director level within a health-care institution to bring together diverse groups of clinicians, researchers, and policy-makers.Daniel AaltoDr. Daniel Aalto is an Associate professor in the Department of Communications Sciences and Disorders in the Faculty of Rehabilitation Medicine at the University of Alberta. He holds joint appointment at the Institute for Reconstructive Sciences in Medicine (iRSM) where he is a research scientist. He obtained his MSc and PhD (engineering physics and mathematics) from Aalto University, Finland. Dr. Aalto’s research interests are in computer modeling of head and neck functions including tongue mobility, speech acoustics, articulation, hearing, swallowing, and chewing. In addition, he actively explores new design and simulation techniques to support virtual planning and surgical execution of head and neck reconstructive surgery.
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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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