Luke E. Osborn, Joseph L. Betthauser, R. Kaliki, N. Thakor
{"title":"Live demonstration: Targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback","authors":"Luke E. Osborn, Joseph L. Betthauser, R. Kaliki, N. Thakor","doi":"10.1109/BIOCAS.2017.8325101","DOIUrl":null,"url":null,"abstract":"This is a live demonstration of the work described in [1] and [2] (paper ID 7153). The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand and user to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller produces spiking information to capture the tactile signal during a grasping task. The neuromorphic tactile signal can then be used as grip force modulation [1] or for closed-loop sensory feedback as discussed in [2].","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This is a live demonstration of the work described in [1] and [2] (paper ID 7153). The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand and user to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller produces spiking information to capture the tactile signal during a grasping task. The neuromorphic tactile signal can then be used as grip force modulation [1] or for closed-loop sensory feedback as discussed in [2].