{"title":"使用WiFi信号估算站立和坐着的人的呼吸频率","authors":"Zhimeng Xu, Aying Guo, Liangqin Chen","doi":"10.1109/IWS49314.2020.9360137","DOIUrl":null,"url":null,"abstract":"Breathing is an essential component to assess the physical health of human being. This paper presents a low-cost and contactless method for respiration estimation of a standing or siting person using WiFi signal. The channel status information (CSI) of WiFi signal is exploited to detect the signal fluctuation caused by the exhalation and inhalation movement of the chest. A combined frequency domain and time domain interval of waveform peak detecting method is proposed to improve the estimation performance. Experiment results show that the proposed method is effective and accurate for respiration rate estimation.","PeriodicalId":301959,"journal":{"name":"2020 IEEE MTT-S International Wireless Symposium (IWS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Respiratory Rate Estimation of Standing and Sitting People using WiFi Signals\",\"authors\":\"Zhimeng Xu, Aying Guo, Liangqin Chen\",\"doi\":\"10.1109/IWS49314.2020.9360137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breathing is an essential component to assess the physical health of human being. This paper presents a low-cost and contactless method for respiration estimation of a standing or siting person using WiFi signal. The channel status information (CSI) of WiFi signal is exploited to detect the signal fluctuation caused by the exhalation and inhalation movement of the chest. A combined frequency domain and time domain interval of waveform peak detecting method is proposed to improve the estimation performance. Experiment results show that the proposed method is effective and accurate for respiration rate estimation.\",\"PeriodicalId\":301959,\"journal\":{\"name\":\"2020 IEEE MTT-S International Wireless Symposium (IWS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE MTT-S International Wireless Symposium (IWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWS49314.2020.9360137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWS49314.2020.9360137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
呼吸是评估人体健康状况的重要组成部分。本文提出了一种利用WiFi信号对站立或坐着的人进行呼吸测量的低成本非接触式方法。利用WiFi信号的信道状态信息(channel status information, CSI)来检测胸部呼气和吸气运动引起的信号波动。为了提高波形峰值的估计性能，提出了一种频域和时域区间相结合的波形峰值检测方法。实验结果表明，该方法对呼吸速率的估计是有效和准确的。
Respiratory Rate Estimation of Standing and Sitting People using WiFi Signals
Breathing is an essential component to assess the physical health of human being. This paper presents a low-cost and contactless method for respiration estimation of a standing or siting person using WiFi signal. The channel status information (CSI) of WiFi signal is exploited to detect the signal fluctuation caused by the exhalation and inhalation movement of the chest. A combined frequency domain and time domain interval of waveform peak detecting method is proposed to improve the estimation performance. Experiment results show that the proposed method is effective and accurate for respiration rate estimation.
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