{"title":"微植入生物识别监测的低功耗数据采集","authors":"T. Khanna","doi":"10.1109/MWSCAS.2012.6292135","DOIUrl":null,"url":null,"abstract":"In this paper, a scheme for data acquisition suited to long term biometric monitoring is presented for microImplants, in particular as applied to Parkinson's tremor monitoring. The system application informs the circuit design and combines the techniques of compressive sensing and adiabatic charging, we can show an effective improvement in the FOM of a 7-bit SAR ADC fabricated in a 0.18um process.","PeriodicalId":324891,"journal":{"name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low power data acquisition for microImplant biometric monitoring\",\"authors\":\"T. Khanna\",\"doi\":\"10.1109/MWSCAS.2012.6292135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a scheme for data acquisition suited to long term biometric monitoring is presented for microImplants, in particular as applied to Parkinson's tremor monitoring. The system application informs the circuit design and combines the techniques of compressive sensing and adiabatic charging, we can show an effective improvement in the FOM of a 7-bit SAR ADC fabricated in a 0.18um process.\",\"PeriodicalId\":324891,\"journal\":{\"name\":\"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)\",\"volume\":\"190 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.2012.6292135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2012.6292135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low power data acquisition for microImplant biometric monitoring
In this paper, a scheme for data acquisition suited to long term biometric monitoring is presented for microImplants, in particular as applied to Parkinson's tremor monitoring. The system application informs the circuit design and combines the techniques of compressive sensing and adiabatic charging, we can show an effective improvement in the FOM of a 7-bit SAR ADC fabricated in a 0.18um process.