Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro
{"title":"EARNEST: A 64 channel device for neural recording and sensory touch restoration in neural prosthetics","authors":"Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro","doi":"10.1109/BIOCAS.2017.8325549","DOIUrl":null,"url":null,"abstract":"EARNEST is a complete embedded system for neural prosthetic applications. It includes recording capabilities of electroneurographic (ENG) signals from up to 4 intrafascicular electrodes with 16 channels each, recording of electromyographic(EMG) signals from 4 differential surface electrodes and multi-channel programmable electrical stimulation. It realizes a complete system for closed-loop bidirectional communication between the Peripheral Neural System (PNS) and an artificial limb. The system is built upon a programmable core for System-on-Chip and 3 different application specific integrated circuits (ASIC) realized in a 0.35μ-m CMOS high-voltage process from ams designed to meet the constraints in terms of area, noise and power in view of a fully implantable system. The whole system has been successfully tested by means of in-vivo experiments with animal models.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
EARNEST is a complete embedded system for neural prosthetic applications. It includes recording capabilities of electroneurographic (ENG) signals from up to 4 intrafascicular electrodes with 16 channels each, recording of electromyographic(EMG) signals from 4 differential surface electrodes and multi-channel programmable electrical stimulation. It realizes a complete system for closed-loop bidirectional communication between the Peripheral Neural System (PNS) and an artificial limb. The system is built upon a programmable core for System-on-Chip and 3 different application specific integrated circuits (ASIC) realized in a 0.35μ-m CMOS high-voltage process from ams designed to meet the constraints in terms of area, noise and power in view of a fully implantable system. The whole system has been successfully tested by means of in-vivo experiments with animal models.