Design of Health Monitoring Framework Model using oneM2M Standard

Adriansyah, Andi; Amrullah, Ahmad Ghozali

doi:10.31258/ijeepse.4.1.107-112

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…This framework model refers to the IoT oneM2M standard. Consequently, it might be able to communicate with other programs or systems to detect accident and proper measured will be used to contact the appropriate authorities such as the rescue authority and hospital facilities [20].…”

Section: Onem2mmentioning

confidence: 99%

A Review of Road Accidents Detection through Wireless Technology—5G, MIMO and Internet of Things

Ojo¹,

Olugbade²,

Ojo³

2022

OJAppS

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Road transport is been used for moving people and all kinds of goods throughout the world. However, it is one mode of transportation that is prone to accidents and it faces a plethora of never-ending challenges, such as the frequent loss of lives and valuables when accident occurs. The best course of action to handle these issues is to set up an autonomous incident detection system using wireless communication, 5G technologies and the Internet of Things. IoT is a seamless technology that increases the connectivity between humans and machines. It is web-based, and improves communication between vehicle to vehicle, vehicle to infrastructures, transfer of data and information to predict incident occurrences through various networks and frameworks such as eCall, OneM2M and integration of mobile broadband. Additionally, internet of things is being adopted for public safety; for instance, it can speed up first responders' response times to situations by displaying the best routes to a scene of an accident. The rapid development of 5G is happening in parallel with developments of internet of things (IoT), artificial intelligence (AI), and smart platforms for novel applications such as mission-critical communications. 5G is a new generation technology that operates on the Ultra High Spectrum Band UHSB. It is an innovation that uses the pedestrians-vehicle-road-cloud, and the communication between vehicle locations and temperature of high-quality connection. It is essential for intelligent transport systems because it allows for information sharing, prediction of incidences as safety is the primary concern of road transport. This review examines accident detection through 5G technology, integrated mobile broadband, and multiple inputs multiple outputs (MIMO) wireless system. Finally, we conclude by examining recent technology, challenges, present

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Section: Onem2mmentioning

confidence: 99%

A Review of Road Accidents Detection through Wireless Technology—5G, MIMO and Internet of Things

Ojo¹,

Olugbade²,

Ojo³

2022

OJAppS

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“…Wearable sensor devices, especially those based on IoT, can be used for observation and data recording at home, at work or during travel for a longer duration when compared to observations made during laboratory visits [7]. This massive collection of data when analyzed and presented in a visual that is easy for health workers to understand has the potential to help improve the quality of health services and reduce costs [8].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of IoT-based SpO2 Monitoring Systems for COVID-19 Patients

Kadarina

Priambodo²

2021

j.electron.electromedical.eng.med.inform

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Internet of Things (IoT) applications can be used in healthcare services to monitor patients remotely. One implementation is that it is used to monitor COVID-19 patients. During the COVID-19 pandemic, people who are infected without symptoms must self-isolate so that the virus does not spread. Measurement of blood oxygen levels or SpO2 is one of the measurements that must be carried out in routine examination procedures for self-isolating patients for early detection of silent hypoxemia in COVID-19 patients. Previous research has developed an IoT-based health monitoring system with a Wireless Body Sensor Network (WBSN) and a gateway that can be used for data acquisition and transmission. The system uses a home pulse oximeter to measure SpO2 and heart rate and an Android application that functions as an IoT gateway to collect data from sensors and add location information before sending data to the server. The WBSN has been successfully integrated with two types of open source IoT platforms, namely ThingsBoard and Elasticsearch Logstash Kibana (ELK). However, it is necessary to carry out further studies on analytical and experimental performance tests of the two systems. Therefore, the purpose of this study is to develop a performance evaluation of the IoT-based SpO2 monitoring systems using the Thingsboard and ELK as IoT platforms. To evaluate the performace we ran the monitoring system on both platforms using pulse oximeter and Android device as IoT gateway with HTTP and MQTT as transport protocol for sending the data to the server. From this study we found that average time of message delivery in ELK compared to ThingsBoard using the same protocols was higher but stable.

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