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IoT-healthcare monitoring system with capability to detect ecg, blood pressure and temperature

IoT-healthcare monitoring system with capability to detect ecg, blood pressure and temperature / Lim Sheng Keong
Jangka hayat manusia semakin panjang berbanding dengan dulu. Penuaan penduduk menjadi satu cabaran untuk mencipta satu sistem pengawasan penjagaan kesihatan yang murah dan cekap. Pada masa yang sama, sistem pengawasan penjagaan kesihatan di pasaran tidak mempunyai fungsi komunikasi dua hala antara doktor dan pesakit. Sistem Permantau Kesihatan dengan Internet Benda telah dicadang untuk menyelesaikan masalah tersebut. Dalam kajian ini, satu sistem mengandungi prototaip sistem terbenam permantau kesihatan yang boleh mengukur elektrokardiogram, tekanan darah, denyutan jantung dan suhu badan telah dicadangkan pada DE1-SoC. Rangka kerja Internet Benda juga dimasukan untuk menyimpan maklumat di IBM Bluemix dengan serta-merta melalui Node-RED. Antara muka grafik pengguna di Web telah dicipta dengan mengguna http GET dan POST untuk memaparkan pengukuran dan nasihat daripada doktor. Sistem ini boleh membantu pesakit untuk memeriksa kesihatan masing-masing tanpa mengira masa dan tempat selain daripada bergantung kepada sistem pengawasan penjagaan kesihatan yang kompleks. Bagi doktor di hospital, mereka boleh memantau kesihatan pesakit dengan senang tanpa pergi ke tempat pesakit. Ketepatan bagi sistem yang telah dibina diukur dengan membandingkan pengukuran dari peralatan perubatan komersial. Purata ketepatan bagi penderia untuk mengukur suhu badan ialah 99.21%, 99.26% bagi denyutan jantung, 99.17% bagi tekanan darah tinggi dan 98.27% bagi tekanan darah rendah. Data daripada sistem dianalis untuk menjangka penyakit yang mungkin dihidapi dan keputusan telah dipaparkan pada laman Web tempatan. Masa yang diperlukan untuk menyimpan satu maklumat ialah 1.5 millisaat dengan menggunakan 100Mbps Internet. Sepuluh orang sukarelawan telah dipilih untuk menguji fungsi system ini dan purata ketepatan bagi setiap penderia berjaya mencapai lebih daripada 95%. Kesimpulanya, sistem yang dicadang dalam kajian ini berfungsi dengan baik dan dapat memanfaatkan pesakit. _______________________________________________________________________________________________________ Life expectancy at birth increases compared to the previous year. Aging population has become a challenge to developing a low cost and efficiency healthcare system since there are limited medical resources. Besides, the healthcare systems on the market do not provide two way communication feature for doctor and patient. IoT-healthcare monitoring system is proposed to overcome these problems. In this study, a system consists of the prototyping of an embedded healthcare monitoring system which is capable to measure ECG, blood pressure, pulse rate, body temperature is proposed on DE1-SoC platform. The IoT-framework is included where the real-time data are stored at IBM Bluemix cloud platform through the Node-RED. Web GUI is created using http GET and POST to display the measurements and advice from doctor through Internet. The accuracy of the sensors for developed system are evaluated through comparing the measurement with the commercial medical devices. The average accuracy for each sensors to measure the health parameter are 99.21% for temperature measurement, 99.26% for pulse rate measurement, 99.17% for Systolic pressure and 98.72% for diastolic pressure. An analysis is carried on the measurements to predict potential disease and results are displayed on local web page. The time required for a sample data to successfully stored in cloud is 1.5 millisecond using 100Mbps speed Internet. Ten volunteers are invited to test the functionality of the system. Generally the measurements from the system have accuracy over 90%. As a conclusion, the functionality of the healthcare system in the study is proven and it is able to provide better healthcare service to patients.
Contributor(s):
Lim Sheng Keong - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875007152
Barcode : 00003107030
Language:
English
Subject Keywords:
Life expectancy; efficiency healthcare system; IoT-healthcare
First presented to the public:
6/1/2017
Original Publication Date:
4/18/2018
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 93
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2018-04-18 14:55:14.544
Date Last Updated
2019-01-07 11:24:32.9118
Submitter:
Mohd Jasnizam Mohd Salleh

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