scholarly journals Monitoring of the Human Body Signal through the Internet of Things (IoT) Based LoRa Wireless Network System

2019 ◽  
Vol 9 (9) ◽  
pp. 1884 ◽  
Author(s):  
Mohammad Shahidul Islam ◽  
Mohammad Tariqul Islam ◽  
Ali F. Almutairi ◽  
Gan Kok Beng ◽  
Norbahiah Misran ◽  
...  

Internet of Things (IoT) based healthcare system is now at the top peak because of its potentialities among all other IoT applications. Supporting sensors integrated with IoT healthcare can effectively analyze and gather the patients’ physical health data that has made the IoT based healthcare ubiquitously acceptable. A set of challenges including the continuous presence of the healthcare professionals and staff as well as the proper amenities in remote areas during emergency situations need to be addressed for developing a flexible IoT based healthcare system. Besides that, the human entered data are not as reliable as automated generated data. The development of the IoT based health monitoring system allows a personalized treatment in certain circumstances that helps to reduce the healthcare cost and wastage with a continuous improving outcome. We present an IoT based health monitoring system using the MySignals development shield with (Low power long range) LoRa wireless network system. Electrocardiogram (ECG) sensor, body temperature sensor, pulse rate, and oxygen saturation sensor have been used with MySignals and LoRa. Evaluating the performances and effectiveness of the sensors and wireless platform devices are also analyzed in this paper by applying physiological data analysis methodology and statistical analysis. MySignals enables the stated sensors to gather physical data. The aim is to transmit the gathered data from MySignals to a personal computer by implementing a wireless system with LoRa. The results show that MySignals is successfully interfaced with the ECG, temperature, oxygen saturation, and pulse rate sensors. The communication with the hyper-terminal program using LoRa has been implemented and an IoT based healthcare system is being developed in MySignals platform with the expected results getting from the sensors.

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Mohammad Monirujjaman Khan ◽  
Safia Mehnaz ◽  
Antu Shaha ◽  
Mohammed Nayem ◽  
Sami Bourouis

During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for COVID-19 patients. This study presents an IoT-based system that is a real-time health monitoring system utilizing the measured values of body temperature, pulse rate, and oxygen saturation of the patients, which are the most important measurements required for critical care. This system has a liquid crystal display (LCD) that shows the measured temperature, pulse rate, and oxygen saturation level and can be easily synchronized with a mobile application for instant access. The proposed IoT-based method uses an Arduino Uno-based system, and it was tested and verified for five human test subjects. The results obtained from the system were promising: the data acquired from the system are stored very quickly. The results obtained from the system were found to be accurate when compared to other commercially available devices. IoT-based tools may potentially be valuable during the COVID-19 pandemic for saving people’s lives.


Author(s):  
Mehdi Hosseinzadeh ◽  
Jalil Koohpayehzadeh ◽  
Marwan Yassin Ghafour ◽  
Aram Mahmood Ahmed ◽  
Parvaneh Asghari ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lei Ru ◽  
Bin Zhang ◽  
Jing Duan ◽  
Guo Ru ◽  
Ashutosh Sharma ◽  
...  

The technological advent in smart sensing devices and the Internet has provided practical solutions in various sectors of networking, public and private sector industries, and government organizations worldwide. This study intends to combine the Internet of Things (IoT) technology with health monitoring to make it personalized and timely through allowing the interconnection between the devices. This work is aimed at exploring various wearable health monitoring modules that people wear to monitor heart rate, blood pressure, pulse, body temperature, and physiological information. The information is acquired using the wireless sensor to create a health monitoring system. The data is integrated using the Internet of Things for processing, connecting, and computing to achieve real-time monitoring. The temperature of three people measured by the temperature thermometer is 36.4, 36.7, and 36.5 (°C), respectively, and the average acquired by the monitoring system of the three people is 36.5, 36.4, and 36.5 (°C), respectively, indicating that the system demonstrated relatively accurate and stable testability. The user’s ECG is displayed clearly and conveniently using the ECG acquisition system. The pulse rate of the three people tested by the system is 78, 78, and 79 (times/min), respectively, similar to the medical pulse meter results. The physiological information acquired using the semantic recognition, matching system, and character matching system is relatively accurate. It concludes that the human health monitoring system based on the Internet of Things can provide people with daily health management, instrumental in heightening health service quality and level.


Author(s):  
Neetu Marwah

In this world with exponentially increasing fitness risks, the authors are proposing an Internet of Things (IoT) based device named Wireless Health Monitoring System (WHMS), to put patients' thinking at ease. We are dwelling in a world which is no longer viable for a doctor to keep a watch over a patient's indispensable parameters all the time. This device is helpful for aged people staying alone at home, people dwelling on hills, pregnant females anywhere, and for busy people who cannot often contact a doctor. A health practitioner, some distance away from the patient, needs to understand his heart rate and body temperature of the physique to begin preliminary treatment. Keeping this as a preluding landmark, the authors are proposing an embedded gadget which can measure the rate of heart beat and body temperature, and keep the statistics on the cloud server for the doctor to determine the next course of action.


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