Design of IoT based Health Care Monitoring Systems using Raspberry Pi: A Review of the Latest Technologies and Limitations

• Published in: 2020 International Conference on Communication and Signal Processing (ICCSP) pp. 0028 - 0032
• Main Authors: Sankaran, Sakthivel, Murugan, Pallikonda Rajasekaran, Chandrasekaran, Divyasri, Murugan, Vijayalakshmi, Alaguramesh, Kavivarsha, Britto, Preethika Immaculate, Govindaraj, Vishnuvardhanan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2020
• Subjects: 5G mobile communication; Accelerometer sensor; Fetal movement; Health care monitoring systems; IoT; Python coding and 3D direction; Zirconium
• DOI: 10.1109/ICCSP48568.2020.9182325

Information and communication technology has advanced in recent days, which has lead to the emergenceof Internet of Things (IoT). The healthcare monitoring system is widely used for various purposes in the current scenario. The fetal measurement and fetal diagnosing can be done using Internet of Things based Health Care Monitoring Systems. An accelerometer sensor can only measure the outside movement of the body and it is not able to measure internal body movements. The measurement can be done only in one, two and three orthogonal axes (3D direction). An accelerometer sensor can be used for fetal movement measurement by only giving a high-frequency range. When the high frequency is given, the object should be at rest to control the resting condition, it shouldn't move at least for one inch. The fetal movement can be only done in the month of 9th or 10th month. The vibration of fetal heartbeat can be noticed. But the proper output is not obtained practically yet. This paper discuss the work related to appropriate selection of the sensor and programming which provides accurate movement of the fetal and the distance. The newly developed equipment with ultrasound sensor and proximity sensor are used to identify the distance of fetus and mother skin and the size of the fetus, respectively. All these can be measured during the every month of pregnancy. With the support of raspberry Pi, the general working functions of the equipment can improve the speed of the output. The expected conclusion is an ideal ultrasound sensor programmed with raspberry pi which determines/predicts the working function of fetus, and can be so called as fetus monitoring system.