{"title":"基于微呼吸压力传感器系统的高血压治疗系统。","authors":"Ziji Diao, Hongying Liu, Lan Zhu, Xiaoqiang Gao, Suwen Zhao, Xitian Pi, Xiaolin Zheng","doi":"10.2147/MDER.S19971","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and methods: </strong>A novel therapeutic system for the treatment of hypertension was developed on the basis of a slow-breath training mechanism, using a microbreathing pressure sensor device for the detection of human respiratory signals attached to the abdomen. The system utilizes a single-chip AT89C51 microcomputer as a core processor, programmed by Microsoft Visual C++6.0 to communicate with a PC via a full-speed PDIUSBD12 interface chip. The programming is based on a slow-breath guided algorithm in which the respiratory signal serves as a physiological feedback parameter. Inhalation and exhalation by the subject is guided by music signals.</p><p><strong>Results and conclusion: </strong>Our study indicates that this microbreathing sensor system may assist in slow-breath training and may help to decrease blood pressure.</p>","PeriodicalId":47140,"journal":{"name":"Medical Devices-Evidence and Research","volume":" ","pages":"51-7"},"PeriodicalIF":1.3000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/MDER.S19971","citationCount":"0","resultStr":"{\"title\":\"Therapeutic hypertension system based on a microbreathing pressure sensor system.\",\"authors\":\"Ziji Diao, Hongying Liu, Lan Zhu, Xiaoqiang Gao, Suwen Zhao, Xitian Pi, Xiaolin Zheng\",\"doi\":\"10.2147/MDER.S19971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and methods: </strong>A novel therapeutic system for the treatment of hypertension was developed on the basis of a slow-breath training mechanism, using a microbreathing pressure sensor device for the detection of human respiratory signals attached to the abdomen. The system utilizes a single-chip AT89C51 microcomputer as a core processor, programmed by Microsoft Visual C++6.0 to communicate with a PC via a full-speed PDIUSBD12 interface chip. The programming is based on a slow-breath guided algorithm in which the respiratory signal serves as a physiological feedback parameter. Inhalation and exhalation by the subject is guided by music signals.</p><p><strong>Results and conclusion: </strong>Our study indicates that this microbreathing sensor system may assist in slow-breath training and may help to decrease blood pressure.</p>\",\"PeriodicalId\":47140,\"journal\":{\"name\":\"Medical Devices-Evidence and Research\",\"volume\":\" \",\"pages\":\"51-7\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2147/MDER.S19971\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Devices-Evidence and Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/MDER.S19971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2011/5/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Devices-Evidence and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/MDER.S19971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/5/12 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
摘要
背景与方法:基于慢呼吸训练机制，利用附着在腹部的微呼吸压力传感器装置检测人体呼吸信号，开发了一种治疗高血压的新型治疗系统。该系统以AT89C51单片机为核心处理器，采用Microsoft Visual c++ 6.0编程，通过PDIUSBD12接口芯片与PC机进行高速通信。该程序基于慢呼吸引导算法，其中呼吸信号作为生理反馈参数。受试者的吸气和呼气是由音乐信号引导的。结果和结论:我们的研究表明，这种微呼吸传感器系统可能有助于慢呼吸训练，并可能有助于降低血压。
Therapeutic hypertension system based on a microbreathing pressure sensor system.
Background and methods: A novel therapeutic system for the treatment of hypertension was developed on the basis of a slow-breath training mechanism, using a microbreathing pressure sensor device for the detection of human respiratory signals attached to the abdomen. The system utilizes a single-chip AT89C51 microcomputer as a core processor, programmed by Microsoft Visual C++6.0 to communicate with a PC via a full-speed PDIUSBD12 interface chip. The programming is based on a slow-breath guided algorithm in which the respiratory signal serves as a physiological feedback parameter. Inhalation and exhalation by the subject is guided by music signals.
Results and conclusion: Our study indicates that this microbreathing sensor system may assist in slow-breath training and may help to decrease blood pressure.
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