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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gupta, M.S.D. Patchava, V. Menezes, V. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Electron. & Telecommun., Univ. of Mumbai, Mumbai, India (Menezes, V.) || Dept. of Electron. & Commun., ISM-Dhanbad, Dhanbad, India (Gupta, M.S.D.) || Dept. of Electron. & Commun., RGUKT, Nuzvid, India (Patchava, V.) |
| Abstract | This paper explains a Raspberry pi controlled remote monitoring system. Raspberry Pi is a credit card sized single board computer with ARM11 microprocessor. In this study, a system is designed to continuously monitor the Electrocardiogram (ECG) and other vital parameters. This data is stored in a database and can be displayed in a website that can be accessed only by authorized personnel. This idea is familiar however; this paper presents a substantive and inexpensive method using Raspberry pi. The primary task of this system is to update the data to the database and alert the doctors for any aberrancy. The former is accomplished by using MySQLdb module to link Raspberry pi to the database whereas the latter is achieved by the combination of Raspberry Pi and GSM module. This system has much future scope as the data gathered by monitoring is so valuable and can be used for scientific research by the medical community. By determining the patterns in the parameters observed, the nature of disease can be predicted. The paper mainly emphasizes on the system design and the algorithm used to accomplish the task. The obtained results are presented. |
| Starting Page | 796 |
| Ending Page | 799 |
| File Size | 978142 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781467379106 |
| DOI | 10.1109/ICGCIoT.2015.7380571 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-08 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | GSM Internet of things Heart beat Databases Raspberry pi Healthcare applications Medical services Electrocardiography ECG Biomedical monitoring Monitoring |
| Content Type | Text |
| Resource Type | Article |
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