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Arduino UNO Pin Connections. There are total 19 I/O pins. All pins can be programmed as input and output depending on the convenient of the user. The maximum current that the microcontroller can handle is 250 mA with maximum voltage of 5 V. iii) Heart Beat Rate Sensor Figure 4 shows the heart beat rate sensor used in the health monitoring system. The technical feature of this sensor is shown in Table 2.
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Healthcare monitoring is a field that caught many researchers from the computer science community in the last decade. In the literature, various levels of people have been considered when proposing a health monitoring system. However, some aspects are still not adequately tackled such as monitoring workers' health status within confined space where...
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... In order to make the system work with multiple users the system should have database here google firebase is used because it has analytics, authentication, messaging, and real-time features that make it somewhat better than other databases and also the admin (house owner) should have an app to add/delete the users and open the door to visitor also the app should work on android and iOS and that can be done by using Expo [24], [25]. Expo is an open source framework for applications running natively on android, iOS, and the web [26]. Expo brings together the best of mobile and web, and enables features important to building and Scaling Apps, such as Live Updates, Real-Time App Sharing, and Web Support. ...
Recently, there are a large number of smart lock systems that can be used in the workplace or home, but many of them depend on finding an external key, password, fingerprint, and facial recognition, where these systems suffer from weakness as the physical key may be forgotten in a place, the password can be memorized which is hard for some peoples, and the fingerprint system sometimes does not work on people who suffer from chronic diseases, such as people with diabetes and for each of these systems the person needs a free hand so that he/her can open the lock which means that is if the person carries something he/her needs to be placed somewhere. The facial recognition system cannot recognize the person's face when the place has poor lighting. This paper proposes a home door lock system that relies on the internet of things (IoT) technology and portable electronic devices Bluetooth such as a smart mobile using the device Bluetooth media access control (MAC) address as a key and the IoT for monitoring, which leads to a door lock that does not require a free hand. The proposed lock system outcome can be a good candidate for home security applications.
... Blynk is a popular app, as shown by the fact that more than 100,000 people have downloaded it [25]. Blynk is a platform that allows iOS and Android applications to operate Raspberry, and a wide variety of other microcontrollers. ...
Security and safety of homes remain critical issues in all countries. The majority of individuals have to deal with significant issues like fire and theft at some point in their lives, particularly in families that spend the majority of their time and engage in most of their activities outside the house. There is a pressing need to use cutting-edge technology in order to upgrade and strengthen the security system, as well as to remotely monitor the living environment for potential mishaps. In this paper, we proposed two integrated techniques, which are the internet of things (IoT) and short message service (SMS), to monitor the home for hazards to take the necessary actions, by Raspberry Pi 4 model B as a controller and phone app to monitor. Global system of mobile (GSM) sends SMS alerts to users, and the Blynk application monitors the data of sensors. Our outcome of this demonstrates that the proposed had the capability and high efficiency to monitor and detect undesirable situations in real-time before disasters occur.
The Internet of Things (IoT) enables a range of applications in the area of information technology, one of which is linked and smart health care. A successful Monitoring patients' health state in real time through an IoT healthcare system is the goal, to avert critical patient scenarios, and to enhance patient quality of life via smart IoT settings. Additionally, healthcare expenses are reduced, and patient outcomes are improved. Edge devices (glucose monitors, ventilators, pacemakers) are common in IoT systems. etc.). We reviewed the essential methodologies and cutting-edge technology for remote patient monitoring in this paper, taking into consideration data privacy and security concerns. The primary emphasis of this study is on the many solutions suggested in healthcare for IoT in real-time remote patient monitoring, blockchain technology in healthcare, and data security.
The emergence of the coronavirus (COVID-19) pandemic has significantly increased the global demand for healthcare services in Nigeria. A large numbers of elderly and vulnerable people are battling with prolonged chronic health conditions such as hypertension, diabetes, acute malaria, and heart-attack. However, access to reliable, dependable and effective medical and healthcare services in remote areas are practically impeded by the absence of medical specialists and health caregivers coupled with insufficient health facilities and equipment which are not only expensive but also not available. Hence, heartbeat rate and body temperature have been identified as the major vitals' physiological parameter to monitor the patient's health status. Thus, this paper aims to design and implement an affordable and smart healthcare system that allows continuous assessment of patient pulse rate and body temperature via sensors and transmits the data over a wireless network through Wi-Fi module that facilitates data analytics and visualization by healthcare staff. The model consists of four-tier architecture features, Tier-1 is the data sensing module (input unit), Tier-2 is the data processing module, Tier-3 data communication module and Tier-4 is the output unit. Furthermore, the patient's temperature and heartbeat rate data are monitored and stored in the cloud using the internet of things (IoT) application. Also, t he experimental results indicate an average error rate of 2.86% and 0.44% for heartbeat and body temperature respectively as compared to the conventional medical devices. An indication that the error rate is within the acceptable limit (<5%). Based on the questionnaires assessed by fifty (50) respondents, a high percentage of acceptance is noticeable in the age group of 35-40, 50-55 and 60-65. The further result shows that the average body temperature lies within 36.2±1.14%.
