Li Huang, Xu Zhang, Ning Guan, Sanyuan Chen, Yun Gui, Weihua Pei, Hongda Chen
{"title":"Real-time multi-channel system for neural spikes acquisition and detection","authors":"Li Huang, Xu Zhang, Ning Guan, Sanyuan Chen, Yun Gui, Weihua Pei, Hongda Chen","doi":"10.1109/NEWCAS.2012.6328978","DOIUrl":null,"url":null,"abstract":"A real-time multi-channel system for neural spikes acquisition and detection is presented in this paper. It incorporates self-designed micro-machined silicon recording probes, specific multi-channel biomedical amplifiers, analog-to-digital converters and a digital signal processor. The system can inspect 32 channels of neural signals, detect the spikes simultaneously, and display 1 channel of the original signals and 32 channels of detection results on the PC screen. The function of the system is verified in a saline environment and the accuracy of the spike detection is 95%. Such system can be used as a head stage for free-moving and long-term recording, and even closed-loop recording and stimulating applications.","PeriodicalId":122918,"journal":{"name":"10th IEEE International NEWCAS Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th IEEE International NEWCAS Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEWCAS.2012.6328978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A real-time multi-channel system for neural spikes acquisition and detection is presented in this paper. It incorporates self-designed micro-machined silicon recording probes, specific multi-channel biomedical amplifiers, analog-to-digital converters and a digital signal processor. The system can inspect 32 channels of neural signals, detect the spikes simultaneously, and display 1 channel of the original signals and 32 channels of detection results on the PC screen. The function of the system is verified in a saline environment and the accuracy of the spike detection is 95%. Such system can be used as a head stage for free-moving and long-term recording, and even closed-loop recording and stimulating applications.