Lixiao Feng, Jun Peng, Guorong Chen, Chengyuan Chen, Dedong Tang
{"title":"基于体积传导的医用植入电子器件通信信道分析与仿真","authors":"Lixiao Feng, Jun Peng, Guorong Chen, Chengyuan Chen, Dedong Tang","doi":"10.1109/ICCI-CC.2016.7862072","DOIUrl":null,"url":null,"abstract":"The research of the communication between medical implanted electronic devices (hereinafter referred to as implanted devices) and external devices is a focus. In this paper, a data communications model based Volume Conduction is presented. As the frequency increases the KHz level, the effect of background biological noise is considered negligible, the channel is thus modeled as the additive white Gaussian noise (AWGN) channel in these frequencies. From Shannon information theory, in two-dimensional modulation, the volume conduction channel capacity formula was derived, further derivation: with extremely low signal to noise ratio (SNR) using in the two-level modulation can be very effective use of channel capacity, with high SNR a multi-level modulation is used in order to make full use of the channel capacity. System-view software is used to the channel simulation, the input and output signal waveforms and eye diagram comparison, the curves of the BER (bit error rate) and SNR.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Communication channel analysis and simulation of medical implanted electronic devices based on the volume conduction\",\"authors\":\"Lixiao Feng, Jun Peng, Guorong Chen, Chengyuan Chen, Dedong Tang\",\"doi\":\"10.1109/ICCI-CC.2016.7862072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research of the communication between medical implanted electronic devices (hereinafter referred to as implanted devices) and external devices is a focus. In this paper, a data communications model based Volume Conduction is presented. As the frequency increases the KHz level, the effect of background biological noise is considered negligible, the channel is thus modeled as the additive white Gaussian noise (AWGN) channel in these frequencies. From Shannon information theory, in two-dimensional modulation, the volume conduction channel capacity formula was derived, further derivation: with extremely low signal to noise ratio (SNR) using in the two-level modulation can be very effective use of channel capacity, with high SNR a multi-level modulation is used in order to make full use of the channel capacity. System-view software is used to the channel simulation, the input and output signal waveforms and eye diagram comparison, the curves of the BER (bit error rate) and SNR.\",\"PeriodicalId\":135701,\"journal\":{\"name\":\"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCI-CC.2016.7862072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI-CC.2016.7862072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communication channel analysis and simulation of medical implanted electronic devices based on the volume conduction
The research of the communication between medical implanted electronic devices (hereinafter referred to as implanted devices) and external devices is a focus. In this paper, a data communications model based Volume Conduction is presented. As the frequency increases the KHz level, the effect of background biological noise is considered negligible, the channel is thus modeled as the additive white Gaussian noise (AWGN) channel in these frequencies. From Shannon information theory, in two-dimensional modulation, the volume conduction channel capacity formula was derived, further derivation: with extremely low signal to noise ratio (SNR) using in the two-level modulation can be very effective use of channel capacity, with high SNR a multi-level modulation is used in order to make full use of the channel capacity. System-view software is used to the channel simulation, the input and output signal waveforms and eye diagram comparison, the curves of the BER (bit error rate) and SNR.