4.8 Article

Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain

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SCIENCE ROBOTICS
卷 3, 期 19, 页码 -

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AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scirobotics.aat3818

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  1. Space@Hopkins funding initiative through Johns Hopkins University
  2. Johns Hopkins University Applied Physics Laboratory Graduate Fellowship Program
  3. Neuroengineering Training Initiative through the National Institute of Biomedical Imaging and Bioengineering through the NIH [T32EB003383]
  4. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [T32EB003383] Funding Source: NIH RePORTER

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The human body is a template for many state-of-the-art prosthetic devices and sensors. Perceptions of touch and pain are fundamental components of our daily lives that convey valuable information about our environment while also providing an element of protection from damage to our bodies. Advances in prosthesis designs and control mechanisms can aid an amputee's ability to regain lost function but often lack meaningful tactile feedback or perception. Through transcutaneous electrical nerve stimulation (TENS) with an amputee, we discovered and quantified stimulation parameters to elicit innocuous (nonpainful) and noxious (painful) tactile perceptions in the phantom hand. Electroencephalography (EEG) activity in somatosensory regions confirms phantom hand activation during stimulation. We invented a multilayered electronic dermis (e-dermis) with properties based on the behavior of mechanoreceptors and nociceptors to provide neuromorphic tactile information to an amputee. Our biologically inspired e-dermis enables a prosthesis and its user to perceive a continuous spectrum from innocuous to noxious touch through a neuromorphic interface that produces receptor-like spiking neural activity. In a pain detection task (PDT), we show the ability of the prosthesis and amputee to differentiate nonpainful or painful tactile stimuli using sensory feedback and a pain reflex feedback control system. In this work, an amputee can use perceptions of touch and pain to discriminate object curvature, including sharpness. This work demonstrates possibilities for creating a more natural sensation spanning a range of tactile stimuli for prosthetic hands.

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