Janin通过腹部和安卓心电图的心率测量系统

Yusuf Anggara Aji, Nuryani Nuryani, Nanang Wiyono, M. Yunianto, Budi Purnama, Utari Utari, Riyatun Riyatun, Suharno Suharno, Dwi Teguh Raharjo
{"title":"Janin通过腹部和安卓心电图的心率测量系统","authors":"Yusuf Anggara Aji, Nuryani Nuryani, Nanang Wiyono, M. Yunianto, Budi Purnama, Utari Utari, Riyatun Riyatun, Suharno Suharno, Dwi Teguh Raharjo","doi":"10.13057/ijap.v12i2.65287","DOIUrl":null,"url":null,"abstract":"An android-based fetal heart rate measurement is presented in this article. The fetal heart rate was obtained from the mother's abdominal electrocardiogram which was then measured and processed by Raspberry pi using k-means. Raspberry pi processed results produce ECG signals and fetal heart rate which was displayed on Android devices in real-time. The android application can also save heart rate and ECG data or retrieve previously taken heart rate recordings. The system obtained that the average value of accuracy, sensitivity and predictive positive were 90.49%, 97.10% and 93.03%, respectively. The variation of the training time of the algorithm showed that the training time of 10 and 15 seconds mostly has better performance than the training time of 5 seconds.","PeriodicalId":31930,"journal":{"name":"Indonesian Journal of Applied Physics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sistem Pengukuran Detak Jantung Janin Melalui Elektrokardiogram Abdominal dan Android\",\"authors\":\"Yusuf Anggara Aji, Nuryani Nuryani, Nanang Wiyono, M. Yunianto, Budi Purnama, Utari Utari, Riyatun Riyatun, Suharno Suharno, Dwi Teguh Raharjo\",\"doi\":\"10.13057/ijap.v12i2.65287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An android-based fetal heart rate measurement is presented in this article. The fetal heart rate was obtained from the mother's abdominal electrocardiogram which was then measured and processed by Raspberry pi using k-means. Raspberry pi processed results produce ECG signals and fetal heart rate which was displayed on Android devices in real-time. The android application can also save heart rate and ECG data or retrieve previously taken heart rate recordings. The system obtained that the average value of accuracy, sensitivity and predictive positive were 90.49%, 97.10% and 93.03%, respectively. The variation of the training time of the algorithm showed that the training time of 10 and 15 seconds mostly has better performance than the training time of 5 seconds.\",\"PeriodicalId\":31930,\"journal\":{\"name\":\"Indonesian Journal of Applied Physics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indonesian Journal of Applied Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13057/ijap.v12i2.65287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Applied Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13057/ijap.v12i2.65287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种基于android的胎儿心率测量方法。胎儿心率是从母亲的腹部心电图中获得的,然后通过树莓派使用k均值对其进行测量和处理。树莓派处理后的结果产生心电图信号和胎儿心率,并实时显示在Android设备上。安卓应用程序还可以保存心率和心电图数据,或检索以前拍摄的心率记录。该系统的准确率、灵敏度和预测阳性率的平均值分别为90.49%、97.10%和93.03%。算法训练时间的变化表明,10秒和15秒的训练时间大多比5秒的训练有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistem Pengukuran Detak Jantung Janin Melalui Elektrokardiogram Abdominal dan Android
An android-based fetal heart rate measurement is presented in this article. The fetal heart rate was obtained from the mother's abdominal electrocardiogram which was then measured and processed by Raspberry pi using k-means. Raspberry pi processed results produce ECG signals and fetal heart rate which was displayed on Android devices in real-time. The android application can also save heart rate and ECG data or retrieve previously taken heart rate recordings. The system obtained that the average value of accuracy, sensitivity and predictive positive were 90.49%, 97.10% and 93.03%, respectively. The variation of the training time of the algorithm showed that the training time of 10 and 15 seconds mostly has better performance than the training time of 5 seconds.
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
自引率
0.00%
发文量
28
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信