Myoelectric pattern recognition and augmented reality for the treatment of Phantom Limb Pain
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چکیده
DESCRIPTION In the proposed technology myoelectric activity at the residual limb of amputees is used to predict complex phantom limb movements. These phantom movements are then feedback to the patient in real-time via Augmented and Virtual Reality. The purpose of engaging patients in Phantom Motor Execution is to eliminate Phantom Limb Pain (PLP) by normalizing maladapted brain circuitry and exploiting competitive plasticity. This novel and non-invasive approach has been shown effective in chronic suffers from whom no other treatment worked previously (chronic intractable PLP). EMG signal processing and pattern recognition are used to predict motor volition of distal joints (several degrees of freedom simultaneously). This technology overcomes the limitations of previous PLP treatments such as mirror therapy or VR approaches based on sensorized gloves or motion capture systems. In addition, this approach is suitable for bilateral amputates, home-use, is non-invasive and more engaging as it involves serious gaming. Myoelectric pattern recognition and augmented reality for the treatment of Phantom Limb Pain
منابع مشابه
Treatment of phantom limb pain (PLP) based on augmented reality and gaming controlled by myoelectric pattern recognition: a case study of a chronic PLP patient
A variety of treatments have been historically used to alleviate phantom limb pain (PLP) with varying efficacy. Recently, virtual reality (VR) has been employed as a more sophisticated mirror therapy. Despite the advantages of VR over a conventional mirror, this approach has retained the use of the contralateral limb and is therefore restricted to unilateral amputees. Moreover, this strategy di...
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