患者健康监测系统

2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI) Pub Date : 2016-10-01 DOI:10.1109/ICICPI.2016.7859685

Arijit Ghosh, Subhajit Aich, Ayan Kumar Ghosh, P. Das, Saikat Mahato, Asit Dey

{"title":"患者健康监测系统","authors":"Arijit Ghosh, Subhajit Aich, Ayan Kumar Ghosh, P. Das, Saikat Mahato, Asit Dey","doi":"10.1109/ICICPI.2016.7859685","DOIUrl":null,"url":null,"abstract":"This is an experimental study for acquisition, measurement, processing and display of human health parameters like ECG, Body temperature as well as Saline status. Primarily ECG signal is detected using surface electrodes. As the signal is very feeble in amplitude so an instrumentation amplifier is designed to amplify the acquired ECG signal. Second order Butterworth filter is used to remove the noise present in it. Then, it is detected in MATLAB environment whether the patient is suffering from diseases like bradycardia and tachycardia using AGILENT 34972A LXI Data Acquisition Card (DAQ/DAS) with Bench Link Data Logger3 software. Next, human body temperature is measured using LM35DZ IC. After amplification, the temperature value is displayed on PC in both imperial and metric units using Graphical user interface (GUI) developed in Windows Visual Basic platform. Moreover, automatic and continuous monitoring of a patient's saline status is designed using IR trans-receiver block.","PeriodicalId":6501,"journal":{"name":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","volume":"124 1","pages":"114-117"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Patient health monitoring system\",\"authors\":\"Arijit Ghosh, Subhajit Aich, Ayan Kumar Ghosh, P. Das, Saikat Mahato, Asit Dey\",\"doi\":\"10.1109/ICICPI.2016.7859685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This is an experimental study for acquisition, measurement, processing and display of human health parameters like ECG, Body temperature as well as Saline status. Primarily ECG signal is detected using surface electrodes. As the signal is very feeble in amplitude so an instrumentation amplifier is designed to amplify the acquired ECG signal. Second order Butterworth filter is used to remove the noise present in it. Then, it is detected in MATLAB environment whether the patient is suffering from diseases like bradycardia and tachycardia using AGILENT 34972A LXI Data Acquisition Card (DAQ/DAS) with Bench Link Data Logger3 software. Next, human body temperature is measured using LM35DZ IC. After amplification, the temperature value is displayed on PC in both imperial and metric units using Graphical user interface (GUI) developed in Windows Visual Basic platform. Moreover, automatic and continuous monitoring of a patient's saline status is designed using IR trans-receiver block.\",\"PeriodicalId\":6501,\"journal\":{\"name\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"volume\":\"124 1\",\"pages\":\"114-117\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICPI.2016.7859685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICPI.2016.7859685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

这是一项对心电图、体温、生理盐水等人体健康参数的采集、测量、处理和显示的实验研究。主要是用表面电极检测心电信号。由于采集到的心电信号幅度非常微弱，因此设计了仪表放大器对采集到的心电信号进行放大。二阶巴特沃斯滤波器用于去除噪声。然后，使用AGILENT 34972A LXI数据采集卡(DAQ/DAS)配合Bench Link Data Logger3软件，在MATLAB环境下检测患者是否患有心动过缓、心动过速等疾病。然后，使用LM35DZ集成电路测量人体温度，经放大后，使用Windows Visual Basic平台开发的图形用户界面(GUI)在PC上以英制和公制单位显示温度值。此外，利用红外转换接收器块设计了患者生理盐水状态的自动连续监测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Patient health monitoring system

This is an experimental study for acquisition, measurement, processing and display of human health parameters like ECG, Body temperature as well as Saline status. Primarily ECG signal is detected using surface electrodes. As the signal is very feeble in amplitude so an instrumentation amplifier is designed to amplify the acquired ECG signal. Second order Butterworth filter is used to remove the noise present in it. Then, it is detected in MATLAB environment whether the patient is suffering from diseases like bradycardia and tachycardia using AGILENT 34972A LXI Data Acquisition Card (DAQ/DAS) with Bench Link Data Logger3 software. Next, human body temperature is measured using LM35DZ IC. After amplification, the temperature value is displayed on PC in both imperial and metric units using Graphical user interface (GUI) developed in Windows Visual Basic platform. Moreover, automatic and continuous monitoring of a patient's saline status is designed using IR trans-receiver block.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)

自引率

0.00%

发文量