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Mr.MAPP: Mixed Reality for MAnaging Phantom Pain

Published: 23 October 2017 Publication History

Abstract

Phantom Limb Pain or simply, Phantom Pain is a severe chronic pain that is experienced as a vivid sensation of the pain in missing body part. Epidemiological studies obtained from a large samples indicate that the short-term incidence rate of the phantom limb pain is 72% [13], while long-term incidence rate (6 months after amputation) is 67%, [5, 13]. A wide spectrum of treatments developed for alleviating phantom limb pain includes the traditional mirror box therapy as well as recently developed virtual reality-based methods. Most of the virtual reality-based methods rely on 3D CAD models of the virtual limb, animating them using the motion data acquired either from patient's existing anatomical limb or myoelectric activity at patient's stump (of the amputated limb). Since motion activity is typically captured using body sensors (Electromyography, EMG, or inertial sensors), these methods are considered as invasive approaches. Further, in the case of virtual reality-based methods, the dependency on the pre-built 3D models degrades the immersive experience due to a mismatch in the skin color, clothes, artificial and rigid look and misalignment of the phantom limb.
In this work, we propose a novel Mixed Reality based system for MAnaging Phantom Pain (Mr.MAPP), utilizing off-the-shelf RGB-D cameras such as Microsoft Kinect V2 to capture and generate a 3D model of the patient in real-time. An illusion of the virtual limb is crafted in real-time by mirroring the patient's symmetric anatomical limb in the captured data with the help of various computer vision and graphics techniques. Along with that, a phantom limb skeleton is also generated in real-time to enable interaction with virtual objects. We conducted a multi-pronged user Quality of Experience (QoE) study of Mr.MAPP employing various rendering displays such as 3D Television, and Head mounted displays (Oculus Rift, Samsung Gear VR). The user study involved two classes of users: (a) a big pool of Subject-Matter Experts (SMEs) that includes Physical Medicine and Rehab (PM&R) experts, Amputee Occupational Therapist and Doctors of Chiropractic; (b) healthy non-expert users. SMEs, as well as the healthy non-expert users provided a very positive feedback of Mr. MAPP indicating the potential value of Mr.MAPP for the phantom pain management.

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cover image ACM Conferences
MM '17: Proceedings of the 25th ACM international conference on Multimedia
October 2017
2028 pages
ISBN:9781450349062
DOI:10.1145/3123266
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Publication History

Published: 23 October 2017

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Author Tags

  1. augmented virtuality: phantom limb pain management
  2. mixed reality

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MM '17
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MM '17: ACM Multimedia Conference
October 23 - 27, 2017
California, Mountain View, USA

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MM '17 Paper Acceptance Rate 189 of 684 submissions, 28%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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  • (2022)Clinical feasibility and preliminary outcomes of a novel mixed reality system to manage phantom pain: a pilot studyPilot and Feasibility Studies10.1186/s40814-022-01187-w8:1Online publication date: 22-Oct-2022
  • (2022)TelepsychologyTelerehabilitation10.1016/B978-0-323-82486-6.00018-6(263-280)Online publication date: 2022
  • (2020)High-quality First-person Rendering Mixed Reality Gaming System for In Home Setting2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)10.1109/AIVR50618.2020.00070(339-344)Online publication date: Dec-2020
  • (2017)Quantifying the Quality of Immersive ExperiencesProceedings of the 2nd International Workshop on Multimedia Alternate Realities10.1145/3132361.3132368(1-2)Online publication date: 27-Oct-2017

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