{"title":"基于交叉ADC的2.1 μW事件驱动唤醒电路用于医疗模式识别","authors":"G. Rovere, S. Fateh, L. Benini","doi":"10.1109/BIOCAS.2017.8325145","DOIUrl":null,"url":null,"abstract":"We report an asynchronous wake-up circuit with pattern recognition capabilities to duty-cycle biomedical system-on-chips in internet-of-things healthcare applications. The wake-up circuit is based on a level-crossing analog-to-digital converter to reduce both the number of samples and processing power. On-chip voltage references lower the overall system power consumption and reduce the number of external components. The circuit is highly configurable and can be used for a wide variety of applications. A 130 nm CMOS prototype is demonstrated with pathological electrocardiogram with premature ventricular contractions, reaching 74.8% of accuracy with only 2.1 μW at 1V supply.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A 2.1 μW event-driven wake-up circuit based on a level-crossing ADC for pattern recognition in healthcare\",\"authors\":\"G. Rovere, S. Fateh, L. Benini\",\"doi\":\"10.1109/BIOCAS.2017.8325145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report an asynchronous wake-up circuit with pattern recognition capabilities to duty-cycle biomedical system-on-chips in internet-of-things healthcare applications. The wake-up circuit is based on a level-crossing analog-to-digital converter to reduce both the number of samples and processing power. On-chip voltage references lower the overall system power consumption and reduce the number of external components. The circuit is highly configurable and can be used for a wide variety of applications. A 130 nm CMOS prototype is demonstrated with pathological electrocardiogram with premature ventricular contractions, reaching 74.8% of accuracy with only 2.1 μW at 1V supply.\",\"PeriodicalId\":361477,\"journal\":{\"name\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOCAS.2017.8325145\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2017.8325145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 2.1 μW event-driven wake-up circuit based on a level-crossing ADC for pattern recognition in healthcare
We report an asynchronous wake-up circuit with pattern recognition capabilities to duty-cycle biomedical system-on-chips in internet-of-things healthcare applications. The wake-up circuit is based on a level-crossing analog-to-digital converter to reduce both the number of samples and processing power. On-chip voltage references lower the overall system power consumption and reduce the number of external components. The circuit is highly configurable and can be used for a wide variety of applications. A 130 nm CMOS prototype is demonstrated with pathological electrocardiogram with premature ventricular contractions, reaching 74.8% of accuracy with only 2.1 μW at 1V supply.