{"title":"一种PPG波形质量评估系统","authors":"Jiang Hao, Gao Bo","doi":"10.1109/ICCS52645.2021.9697132","DOIUrl":null,"url":null,"abstract":"The paper presents a quality assessment system for the PPG waveform considering different noise conditions to reduce monitoring errors. The proposed algorithm adopts the hierarchical decision rules combining the absolute value of amplitude, zero-crossing threshold, and autocorrelation function characteristics. During assessment for 1782 unacceptable PPG waveform segments and 17918 acceptable PPG waveform segments, the algorithm achieves a sensitivity of 99.94%, a specificity of 99.39%, and an accuracy rate of 99.89%.","PeriodicalId":163200,"journal":{"name":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Quality Assessment System for PPG Waveform\",\"authors\":\"Jiang Hao, Gao Bo\",\"doi\":\"10.1109/ICCS52645.2021.9697132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a quality assessment system for the PPG waveform considering different noise conditions to reduce monitoring errors. The proposed algorithm adopts the hierarchical decision rules combining the absolute value of amplitude, zero-crossing threshold, and autocorrelation function characteristics. During assessment for 1782 unacceptable PPG waveform segments and 17918 acceptable PPG waveform segments, the algorithm achieves a sensitivity of 99.94%, a specificity of 99.39%, and an accuracy rate of 99.89%.\",\"PeriodicalId\":163200,\"journal\":{\"name\":\"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS52645.2021.9697132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd International Conference on Circuits and Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS52645.2021.9697132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a quality assessment system for the PPG waveform considering different noise conditions to reduce monitoring errors. The proposed algorithm adopts the hierarchical decision rules combining the absolute value of amplitude, zero-crossing threshold, and autocorrelation function characteristics. During assessment for 1782 unacceptable PPG waveform segments and 17918 acceptable PPG waveform segments, the algorithm achieves a sensitivity of 99.94%, a specificity of 99.39%, and an accuracy rate of 99.89%.
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