iSurgARy:一种在资源有限的环境中用于脑室造口术的移动增强现实解决方案。

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Zahra Asadi, Joshua Pardillo Castillo, Mehrdad Asadi, David S. Sinclair, Marta Kersten-Oertel
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引用次数: 0

摘要

神经外科护理的全球差异需要创新解决可负担性和准确性,特别是对于脑室切开术等关键手术。这种干预对于控制危及生命的颅内压升高至关重要,当使用徒手技术时,导管错位率超过30%。这种错位会造成严重后果,包括出血、感染、住院时间延长,甚至发病和死亡。为了解决这个问题,提出了一种新颖的、独立的基于移动的增强现实系统(iSurgARy),旨在显著提高脑室造口术的准确性,特别是在资源有限的环境中,如低收入和中等收入国家。iSurgARy使用基于地标的注册,利用光检测和测距来实现准确的手术指导。为了评估iSurgARy,进行了两阶段的用户研究。最初,使用系统可用性量表(SUS)与新手参与者一起评估可用性和可学习性,并结合他们的反馈来改进应用程序。在第二阶段,将聘请人机交互和临床领域的专家来评估该应用,分别测量均方根误差、SUS和NASA任务负载指标来评估准确性、可用性和认知工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings

iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings

Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality. To address this issue, a novel, stand-alone mobile-based augmented reality system (iSurgARy) aimed at significantly improving ventriculostomy accuracy, particularly in resource-limited settings such as those in low- and middle-income countries is presented. iSurgARy uses landmark based registration by taking advantage of light detection and ranging to allow for accurate surgical guidance. To evaluate iSurgARy, a two-phase user study is conducted. Initially, the usability and learnability is assessed with novice participants using the system usability scale (SUS), incorporating their feedback to refine the application. In the second phase, human-computer interaction and clinical domain experts are engaged to evaluate this application, measuring root mean square error, SUS and NASA task load index metrics to assess accuracy usability, and cognitive workload, respectively.

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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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