A smart healthcare monitoring system for patients using IoT and cloud computing

Health monitoring systems are rapidly growing in recent times, Continuous monitoring of the patients is one of the big challenges for hospitals. Smart systems have been established to track the patient present health status;we focus on monitoring the patient's blood pressure, body temperature, Heart rate. In this project we use Arduino Mega 2560 which is a microcontroller board based on the ATmega2560 comments. In this paper, Embedded C language by using Arduino is used to obtain the sensor values. IOT data cloud is used in this project. IOT is used in healthcare system to track the patients' health condition as a monitoring device. Cloud computing develops as a platform for IoT data storage, processing and analytics because of its simplicity, expandability and affordability. Transmit sensor values to Arduino and it sends to GSM and WIFI module to monitor the parameters of the patients. In this project the notifications of patient's health status are sent to the caretaker and nurse, simultaneously it is updated in webpages also for the doctor's reference. Taking in account, COVID 19 Pandemic is highly infectious and spreadable disease, so to maintain the social distance, this monitoring system is needed. It reduces the need for face-to-face appointments with doctors in hospital. ECG sensor is also used to decide the heart activity of the patients. This project aims for the patients who are in continuous monitoring and bedridden. The GSM and IOT technologies give the architecture for healthcare in this project. © 2023 Author(s).

Internet of Things Based Intelligent Transportation of Food Products During COVID.

Transportation management plays a vital role in the development of the country, with the help of IoT smart transportation has become a reality. Developing a smart and secured transportation system of food products to various shops during this pandemic period is an important task. The vehicle tracking system is the technology that is used by many companies and individuals to track a vehicle by using many ways like GPS that operates using satellites and ground-based stations. In this paper an Internet of Things based application is developed to monitor the moving vehicle, this proposed model provides a monitoring solution for a moving vehicle with the help of sensors Blind Spot Assist sensor, Collision Prevention sensor, Fuel Monitoring sensor, Door Sensor, and GPS/GPRS tracking module are integrated to make a smart vehicle prototype using raspberry pi. In this model, a Blind spot sensor is used to monitor the nearby vehicles, a Collision Prevision sensor is used to avoid the collision between the vehicles, a Fuel monitoring sensor is used to monitor the fuel level in the vehicle, the Door sensor is used to check the status of the door and GPS/GPRS tracking module is used to track the current location of the moving vehicle during the COVID-19 Pandemic period.

Covid-19 Vest for Social distancing and Monitoring

In recent years, due to the rise in the number of novel coronaviruses across the globe nations step forward to stop the crisis. With guidelines of the WHO many methodologies came into existence to prevent the spreading of coronavirus. My SD: A Smart Social distance and Monitoring System takes advantage of the features of the smartphone's hardware which usually has Bluetooth transmitter-receiver, like GPS to determine the safe distance and required level of compliance. Through artificial intelligence, this new smart device helps maintain uniform social distance and detect COVID 19 patients. In these COVID 19 environments, everyone knows how safe they are. In this paper, we have automated the process whereby the layman can control himself without any priming which makes the system more user-friendly for the public. The user himself or herself can monitor body temperature, social distancing and get an alert in abnormal selfisolation conditions using contactless thermometer, ultrasonic sensors, and GSM modules. © 2022 IEEE.

Remote Health Monitoring System Using Microcontroller—Suitable for Rural and Elderly Patients

Amid and post-COVID-19 pandemic, the matter of being in touch with patients to monitor their health matrices became somewhat challenging, especially in the rural areas of countries like Bangladesh and for elderlies. To address this issue, a patient health monitoring system is developed using a Programmable Intelligent Computer (PIC) microcontroller and Global System for Mobile Communications (GSM) protocol with the help of a pulse sensor, IR sensor, photodiodes, temperature sensor, etc., to measure 3 (three) crucial health matrices such as heartbeat/pulse, oxygen saturation level, and body temperature from a fingertip of the patient in 20 s remotely. Whenever the system measures the health matrices, it sends a short message service (SMS) report to a personal caretaker over GSM automatically. If the system finds any anomaly based on predefined threshold levels for each health parameter, it sends a SMS alert report to the designated doctor automatically as well. A prototype of the developed system is made, verified, and tested to be working perfectly as designed and programmed. In the experiment with the developed system, heart rate ranged from 61 to 105 bmp, body temperature ranged from 95.3 to 99.1 ℉, and oxygen saturation was minimum at 97%. According to the set threshold levels, which led to an automatic SMS alert to the caretaker's mobile phone. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

A Real Time Monitoring System for Home Isolated COVID-19 Patients

During this Covid-19-time number of patients in hospital are increased. The covid-19 patients are mainly of two types one who has a serious condition and the other who has a mild covid-19 symptom. On the other way, the patients who have very serious conditions generally have all facilities, they have doctors around them and other medical staff also there to take care of the situation, but the patients who have not very serious conditions are generally isolated in their home, a problem with this home isolated patients are they do not consult with doctor day to day and what happens if patients condition become serious basically this paper is going to solve this two problem and also monitoring the patients while getting different data like a heartbeat, SpO2, body temperature, etc. along with that we used a location sharing and nearest hospitals identification. Here we design IoT, GSM/GPS-based system through which we send the patients' health data directly to the hospital and if the patients' conduction becomes serious then it sends an alert to the hospital along with the patient's location and it also sends the hospital location to the patients. © 2022 IEEE.

COVID Hotspot Alert System using Geo-Fencing Technique

Covid-19 is an extremely communicable disease. It becomes extremely hard to control once it begins to spread. One of the most important and effective steps to break the chain and keep healthy people from getting infected is social isolation/distancing. When an infected person comes into contact with a healthy person, that person becomes infected as well, and the chain reaction continues. To curb this, COVID alert system using geo-fencing is developed. This system uses a GPS module to create a Geo Fence around the infected area and the healthy area. The live/current GPS location/coordinate is compared with the hotspot co-ordinates. The GSM module with Sim800L will send an alert to healthy people when they come into contact with virus-infected areas. The device comes with a GPS, GSM module with Sim800L and an OLED which displays the alert message. The device can be fit into any public or private transport, so that the healthy person will be prevented from entering the hotspot zones unnecessarily, thereby blocking the virus spread. © 2022 IEEE.

Automatic Door Un-locking and Security System Using Raspberry Pi

As a critical constituent of many institutions domestic safety and protection precedence, surveillance has mounted its significance and advantages several instances with the aid of using offering instant supervising of possessions, humans having access to your private home and property. This project deals with the layout method of an Embedded Real-Time automated door lock safety device the use of pi digital camera primarily based totally on Raspberry Pi 3 for intruder remark that enhances surveillance generation to offer critical safety to homes and related control. An embedded internet server creates a clean manner for tracking & routinely locking the door any device. The Raspberry Pi primarily based totally Automatic Door Un-locking system the use of a pi Camera affords the concept of tracking a selected area in a far flung vicinity and stumble on the unknown face if they are attempting to enter. The door gets unlock only when it detects the known face and switches on the home lights as home application. When unknown or unauthorized person's face is detected, this device will ship SMS and the picture of the unauthorized person is sent to the owner's mail. The diligent of contemporary COVID-19 situation. As temperature test performs crucial position in controlling unfold of covid, the proposed project has an extra characteristic of temperature test of the individual that attempts to go into the house. So, it has even temperature sensor and LCD which will ask the person to measure his temperature and display the temperature, the measured temperature is also send to cloud so that owner can view the person temperature. © 2022 IEEE.

Arduino based Contactless Covid Booth Registration System

As per recent pandemic situation taken into consideration Corona virus testing is done at the specific center which does not provide safe environment. So there is need of advance system i.e. Contactless Covid Booth Registration system. This system helps to make Covid center automated and contactless which helps to reduce spreading of virus in the Covid testing centers. This system utilizes microcontroller, MATLAB, GSM modem. This system can be useful for all Covid testing centers, hospitals and public health centers. This system having advantages of reduction in spreading rate of virus, Break the chain of virus expansion, reduces patients rate and reduces the risk of infection. This system not only useful for Covid testing centers but help to our nation to minimize the risks of infections and death. © 2022 IEEE.

Face mask detection camera system using Python, Raspberry PI using wireless communication and the global system for mobile communication (GSM).

This study presents the design of a face mask detector that uses a camera, controlled by Raspberry PI with Python, which generates alerts when detecting people not properly wearing face masks during the COVID-19 pandemic. The system uses a security camera and GSM (Global System for Mobile Communication) wireless communication. The face mask detector equipped with artificial intelligence is implemented in the "La Joya" building at the Salesian Polytechnic University (Ecuador). The learning model is developed in stages. The results show that at stage 20, the accuracy and the test accuracy of the model reaches one. Similarly, data loss achieves zero at stage 20. It is concluded that the face mask detection system successfully monitors a specific area, improving the safety of students attending classes during the COVID-19 pandemic. (English) [ FROM AUTHOR] En este estudio se presenta el diseño de un detector de mascarilla por medio de una cámara controlada por un Raspberry PI con Python que genera alertas en caso de detectar a personas que no usen correctamente la mascarilla durante la pandemia de COVID-19. Se utiliza una cámara de seguridad y comunicación inalámbrica a través de GSM (Global System for Mobile Communication). El detector con inteligencia artificial se implementa en el edificio "La Joya" de la Universidad Politécnica Salesiana (Ecuador). El aprendizaje del modelo se realiza por épocas. Los resultados muestran que en la época 20, la precisión y prueba de exactitud del modelo llegan a 1. De igual forma, la pérdida (Loss) de datos llega en la época 20 a tener una pérdida de datos de 0. Se concluye que el sistema de detección de mascarilla permite monitorear un área determinada, proporcionando un mejor cuidado de los estudiantes durante la pandemia de COVID-19. (Spanish) [ FROM AUTHOR] Copyright of Información Tecnológica is the property of Centro de Informacion Tecnologica (CIT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Arduino Based Smart Dustbin for Waste Management during Covid-19

India has perceived an enormous upsurge in garbage during 21st century due to adopting urbanization rapidly. In addition, as the population increasing drastically, which inherently produce huge amount of garbage. The overflow of the garbage and lack of maintenance are the main reasons for many diseases and also for spoiling earth environment. However, the entire world has faced the problems due to spreading of Covid-19 through the air due to the hazard waste is being generated in specific Covid hospitals, quarantine zones are directly dumped into the dustbins. The frontline warriors (doctor, nurse, police) working in these unorganized dustbin environments are getting infected with Covid-19 and are became a primary contact for spreading of virus. Thus, it is very much essential to implement a systematized and well-designed mechanism to overcome this problem. In this work, a hardware prototype for smart dustbin based on Arduino has been proposed that can be installed in hospitals, medical centres, municipalities, households for the sake of environment as well as front-line workers. The proposed model of smart dustbin has PIR sensor and ultrasonic sensor for human motion detection and sense the level of garbage present in the bin respectively. An alert system based on GSM has been interfaced with Arduino which sends the alert messages based on level of the garbage at regular intervals. The proposed model work with very low power and increase the security for front-line workers from the Covid-19. © 2021 IEEE.

IoT Based Health Monitoring System and Its Challenges and Opportunities

With the incarnation of novel COVID-19, health care is getting more preference in each country. IoT-based health monitoring systems might be the best option to monitor infected patients and be helpful for elderly population. In this paper, analyzed different IoT-based health monitoring systems and their challenges. Searched through established journal and conference databases using specific keywords to find scholarly works to conduct the analysis. Investigated unique articles related to this analysis. The selected papers were then sifted through to understand their contributions/research focus. Then tried to find their research gap and challenges, created them into opportunities and proposed a GSM-based offline health monitoring system that will conduct with the healthcare providers through communication networks. Hopefully, this model will work as an absolute pathway for the researchers to establish a sustainable IoT-based health monitoring system for humankind. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Design and Implementation of Smart Healthcare Monitoring System Using FPGA

With growing health awareness and the increasing cost of medical care, there is an impetus to new and advanced technologies for disease prevention and early diagnosis and treatment. The weakest link exposed by the COVID-19 pandemic in India is health care. Investment in critical health Infrastructure aided by modern technology is the need of the hour. So, this project aims to develop a comprehensive healthcare monitoring system by blending IoT and VLSI. It can monitor a patient’s basic health signs as well as the room condition where the patients are now in real time. We use Nexys4 Artix7 as a processor. In this system, six sensors are used to capture the data from the hospital environment named heartbeat sensor, body, and room temperature sensor, fall detection sensor, blood pressure sensor, air quality monitoring sensors, ECG sensor. The condition of the patients is conveyed via the ThingSpeak website and telephonic calls/SMS to relatives, medical staff. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network.

BACKGROUND AND OBJECTIVE: Continuous monitoring of breathing activity plays a vital role in the detection of respiratory-based diseases (SA, COPD, etc.). Sleep Apnea (SA) is characterized by recurrent upper airway obstruction during sleep associated with arterial blood desaturation, sympathetic nervous system activation, and cardiovascular impairment. Untreated patients with SA have increased mortality rates compared to the general population. This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors in the Covid-19 era. METHODS: This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors. Our study focuses on a novel portable real-time low-cost sleep apnea monitoring system utilizing the GSM network (GSM Shield Sim900a). Proposed system is a remote monitoring and patient tracking system to detect the apnea event in real time, and to provide information of the sleep position, pulse, and respiratory and oxygen saturation to the medical specialists (SpO2) by establishing a direct contact. As soon as an abnormal condition is detected in the light of these parameters, the condition is reported (instant or in the form of short reports after sleep) to the patient relatives, the doctor's mobile telephone or to the emergency medical centers (EMCs) through a GSM network to handle the case depending on the patient's emergency condition. RESULTS: A study group was formed of six patients for monitoring apnea events (three males and three females) between the ages of 20 and 60. The patients in the study group have sleep apnea (SA) in different grades. All the apnea events were detected, and all the patients were successfully alerted. Also, the patient parameters were successfully sent to all patient relatives. Patients who could not get out of apnea were called through the CALL feature, and they were informed about their ongoing apnea event and told that intervention was necessary. The proposed system is tested on six patients. The beginning moment of apnea was successfully detected and the SMS/CALL feature was successfully activated without delay. During the testing, it has been observed that while some of the patients start breathing after the first SMS, some others needed the second or the third SMS. According to the measurement result, the maximum breathless time is 46 s among the patients, and a SMS is sent every 15 s. In addition, in cases where the patient was breathless for a long time, the CALL feature was actively sought from the relatives of the patient and enabled him to intervene. The proposed monitoring system could be used in both clinical and home settings. CONCLUSIONS: The monitoring of a patient in real time allows to intervene in any unexpected circumstances about the patient. The proposed work uses an acceleration sensor as a reliable method of the sleep apnea for monitoring and prevention. The developed device is more economical, comfortable, and convenient than existing systems not only for the patients but also for the doctors. The patients can easily use this device in their home environment, so which could yield a more comfortable, easy to use, cost-effective, and long-term breathing monitoring system for healthcare applications.