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Utilizing an Augmented Reality System to Address Phantom Limb Syndrome in a Cloud-Based Environment

Utilizing an Augmented Reality System to Address Phantom Limb Syndrome in a Cloud-Based Environment

Afeef Sheikh
Copyright: © 2017 |Volume: 9 |Issue: 1 |Pages: 11
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522512035|DOI: 10.4018/IJGHPC.2017010102
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MLA

Sheikh, Afeef. "Utilizing an Augmented Reality System to Address Phantom Limb Syndrome in a Cloud-Based Environment." IJGHPC vol.9, no.1 2017: pp.14-24. http://doi.org/10.4018/IJGHPC.2017010102

APA

Sheikh, A. (2017). Utilizing an Augmented Reality System to Address Phantom Limb Syndrome in a Cloud-Based Environment. International Journal of Grid and High Performance Computing (IJGHPC), 9(1), 14-24. http://doi.org/10.4018/IJGHPC.2017010102

Chicago

Sheikh, Afeef. "Utilizing an Augmented Reality System to Address Phantom Limb Syndrome in a Cloud-Based Environment," International Journal of Grid and High Performance Computing (IJGHPC) 9, no.1: 14-24. http://doi.org/10.4018/IJGHPC.2017010102

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Abstract

Phantom Limb Syndrome (PLS) is the perception of sensations, often including chronic intense pain localized to the site of an amputated or denervated limb. This syndrome is relatively common in amputees; the pain often reflects the amount of pre-amputation pain, and is often refractory to excision of amputation neuroma, rubbing, electrical stimulation, peripheral nerve or spinal blocks, narcotics, and sympathectomy (Alviar et al., 2011). Mirror therapy, a present method of rehabilitation, is estimated to be only 60% effective in upper limb amputees while also requiring expensive equipment and monitoring by a caretaker or technician. This paper is aimed at designing an affordable, effective, and accessible alternative solution to address the rehabilitation challenges associated with PLS. Using the power of Augmented Reality (AR) coupled with open source software, such as Unity3D and Vuforia, and commonly used devices like cellphones and computers, the prototype can read muscle activity and create an onscreen image of a virtual hand in place-of the individual's lost hand and can mimic basic hand movements through the use of an AR camera. Due to the limited processing power present within most cellphones, the solution is being refined to capitalize on Cloud computing. In doing so, the hand model can be rendered offsite and streamed directly to the phone, resulting in a higher equality image. The efficacy of this solution has not yet been tested on human subjects by virtue of legal restrictions. This system is currently being forwarded to qualified individuals who have the necessary credentials to perform clinical trials in a certified lab environment.

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