{"title":"Adaptive Deep Brain Stimulation System Based on ADS1292","authors":"Dechun Zhao, Li Wang, Shanshan Cheng","doi":"10.1109/ICBCB.2019.8854629","DOIUrl":null,"url":null,"abstract":"In order to monitor the development of Parkinson's disease for a long time and to study the mechanism of deep brain stimulation for Parkinson's disease, an adaptive deep brain stimulation system based on ADS1292 was designed for Parkinson's rats. The system consists of a main control unit, an acquisition module, a stimulation module and a wireless communication module, the system uses high-performance, low-power MSP430 as the main control chip. The high resolution, low noise analog to digital conversion chip ADS1292 acquires local field potential (LFP) signals. The stimulus module uses the DAC8532 to output a square wave with adjustable amplitude, frequency, and pulse width. At the same time, the wireless communication module uses the Bluetooth to transmit the LFP signal to the upper computer for processing and receive the control command from the upper computer for achieving adaptive adjustment of the stimulus parameters. Through verification, the system completes the generation of stimulation signals and the acquisition of weak bioelectric signals. The system is light in weight, small in size and low in power consumption, and is very suitable for small animal experiments such as rats.","PeriodicalId":136995,"journal":{"name":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBCB.2019.8854629","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
In order to monitor the development of Parkinson's disease for a long time and to study the mechanism of deep brain stimulation for Parkinson's disease, an adaptive deep brain stimulation system based on ADS1292 was designed for Parkinson's rats. The system consists of a main control unit, an acquisition module, a stimulation module and a wireless communication module, the system uses high-performance, low-power MSP430 as the main control chip. The high resolution, low noise analog to digital conversion chip ADS1292 acquires local field potential (LFP) signals. The stimulus module uses the DAC8532 to output a square wave with adjustable amplitude, frequency, and pulse width. At the same time, the wireless communication module uses the Bluetooth to transmit the LFP signal to the upper computer for processing and receive the control command from the upper computer for achieving adaptive adjustment of the stimulus parameters. Through verification, the system completes the generation of stimulation signals and the acquisition of weak bioelectric signals. The system is light in weight, small in size and low in power consumption, and is very suitable for small animal experiments such as rats.