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

机译:在基于云的环境中使用增强现实系统解决幻肢综合症

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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.
机译:幻肢症候群(PLS)是一种感觉知觉,通常包括局限在截肢或失神经肢体部位的慢性剧烈疼痛。这种综合征在截肢者中相对普遍。疼痛通常反映截肢前疼痛的程度,并且通常对截肢神经瘤,摩擦,电刺激,周围神经或脊髓传导阻滞,麻醉药和交感神经切除术难以切除(Alviar等,2011)。镜面疗法是目前的一种康复方法,据估计在上肢截肢者中只有60%有效,同时还需要昂贵的设备以及看守或技术人员的监视。本文旨在设计一种负担得起,有效且可访问的替代解决方案,以解决与PLS相关的康复挑战。借助增强现实(AR)的功能以及Unity3D和Vuforia等开源软件以及手机和计算机等常用设备,该原型可以读取肌肉活动并在屏幕上创建虚拟手的屏幕图像。个人丢失的手,并且可以通过使用AR相机模拟基本的手部动作。由于大多数手机中处理能力有限,因此该解决方案正在完善,以利用云计算。这样,可以将手形模型异地渲染并直接流式传输到电话,从而获得更高的平等性图像。由于法律限制,该解决方案的功效尚未在人类受试者上进行测试。目前,该系统正被转发给具有必要资质的合格人员,以便在经过认证的实验室环境中进行临床试验。

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