This research focuses on the design of an Extended Reality simulator for training medical professionals in Advanced Trauma Life Support (ATLS) and pulse palpation. Existing pulse simulators have the disadvantages of being bulky, expensive, and unsuitable to be used as training tools. In addition, none of the simulators were designed to incorporate the auditory feedback of the pulse, a crucial component of continuous pulse monitoring. The developed simulator incorporates haptic, visual, and auditory feedback modes. In this work, we also conduct a comparative user study to determine the effect of multimodal feedback on different participants. Participants trained in the Audio-Haptic scenario outperformed those trained in the Haptic only scenario. These values could also be correlated with qualitative user feedback indicating that Audio-Haptic interactions were perceived as superior. With this simulator, we hope to provide medical professionals with an immersive and realistic training tool for learning the skill of palpating pulse. / Master of Science / The medical field demands accurate and precise procedures to be performed by doctors, with no room for error. Traditional training methods consist of the trainer demonstrating the technique and the student duplicating it, which increases the risk of medical errors.
Advanced Trauma Life Support (ATLS) is a program designed by the American College of Surgeons to teach physicians a systematic approach to treating trauma patients. Palpating and classifying pulses is one of the steps involved in the ATLS procedure. The majority of existing ATLS and pulse simulators are not fully integrated with haptic and auditory feedback, and there has been very little research on this topic. This work describes the design and development of an Extended Reality ATLS simulator with a pulse simulator for medical student training. We conduct a user study to determine how the Audio-Haptic scenario affects the learnability of palpating pulses and ATLS procedures. Our ATLS simulator aims to provide a comprehensive training module for emergency trauma response practice for medical professionals.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/113744 |
| Date | 08 February 2023 |
| Creators | Donekal Chandrashekar, Nikitha |
| Contributors | Computer Science and Applications, Gracanin, Denis, Kelliher, Aisling, Muniyandi, Manivannan |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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