Axlin, X and Joylet I, Gracy and Priyanka, C V (2025) Portable IoT based maternal health - fetal monitoring system using raspberry PI. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1470-1474. ISSN 2582-8266
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Abstract
The recent advancement in the IoT technology has enabled the medical devices to make real-time analysis that was not possible for doctors a few years ago. IoT healthcare devices, wearable technology and data access allows physicians to monitor patients with greater precision and provide better-informed treatment. Implementing portable IoT based maternal health and fetal monitoring in a convenient way at home. The pandemic conditions affecting everyday life may have a long-term influence on impaired fetal development and maternal health. This should be addressed in prenatal care. This paper talks about the work associated to appropriate determination of the sensor and programming which gives accurate motion and the size of the fetus. Ultrasound sensor will help pregnant women to measure the size of the fetus, movement of the fetus and to know the fetal heart rate. With the help of this newly developed equipment pregnant women can manage the prenatal care easily. For maternal health management the equipment provides vital sensors to the maternal's body temperature, heart rate and breathing rate. Weekly checkups can be done using this probe and the data will be intimated to the concerned gynecologist. By using raspberry Pi, the common working features of the tools will enhance the pace of the output. The predicted conclusion is an ultrasound sensor programmed with raspberry Pi which will determine the working characteristic of fetus and the maternal health, which can be referred to as Pregnancy health monitoring.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.1.0178 |
Uncontrolled Keywords: | Maternal health; Fetal monitoring; Raspberry Pi; Internet of Things (IoT); Biomedical sensors; Remote healthcare |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:16 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3021 |