An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Rathy, G A; Sivasankar, P.; Fadhil, Tamara Z.

doi:10.12928/telkomnika.v18i6.14375

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…A buzzer was installed to help alert the people nearby of any dangerous condition. Another study by Rathy et al, [9], who proposed an idea of an efficient IoT based biomedical health monitoring and diagnosing system using myRIO to add twist to the idea of emerging IoT with medical world. The proposed system employs heart rate sensor, pulse sensor, BP sensor wearable ultrasound patch, MAX30205 temperature sensor as the sensors that will measure the patient's measurement, ESP 8266 as a Wi-Fi transceiver development kit, and NI-myRIO as a hardware to process real-time data.…”

Section: Literature Review On Related Workmentioning

confidence: 99%

A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor

Azwati Azmin,

Samihah Abdullah,

Zafirah Faiza

et al. 2023

ARASET

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Emergency Medical Services (EMS) has always been a great help in treating patients before they arrive at the hospital. On the route to the hospital, where they will receive proper and additional treatment, pre-hospital care is an emergency aid to help stabilise the patient's condition. However, there is a lack of effective maintenance in the data interchange between the emergency department doctors and the paramedics in the ambulance. To give the patient the highest level of treatment, the patient's handoffs from paramedics or pre-hospital to in-hospital staff are not of sufficient quality. Hence came the idea of incorporating the Internet of Things into the emergency healthcare system. This paper discusses a proposed idea to design a reliable healthcare monitoring system that enables data exchange between doctors and paramedics efficiently. This system utilises the IoT platform, Blynk App, to display the data in both places (ambulance and emergency department) by using NodeMCU as the core processor and wearable sensors to measure the main parameters and vital sign data (as is current practise in ambulances). This system may also confirm that data from the sensors is transmitted in real-time to the host computer. The findings indicate that the vital sign readings are roughly accurate when compared to actual devices or marketable measurement tools. At the same time, the system will help the paramedics and doctors communicate efficiently in two ways and enable them to exchange patient details in real-time, so appropriate action can be discussed and the patient can be treated swiftly. The provided information allows hospital professionals in the emergency department to suggest what tools or medications should be ready to treat the patient further.

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Section: Literature Review On Related Workmentioning

confidence: 99%

A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor

Azwati Azmin,

Samihah Abdullah,

Zafirah Faiza

et al. 2023

ARASET

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“…This study designed a gadget that can electronically read blood type in order to facilitate testing of vast numbers of blood samples [26]. This tool uses the ABO system to test human blood type.…”

Section: Introductionmentioning

confidence: 99%

Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode

Lubis,

Harefa,

Al-Khowarizmi

et al. 2024

Bulletin EEI

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Blood is a fluid in the body that mainly serves as a medium for transporting various substances in the body. Detection of human blood group types with this microcontroller utilizes dark and light properties. The dark character appears due to agglomeration, while the light nature arises because of no agglomeration, for this to happen, a liquid reagent is needed. Administration of this liquid uses the aviator's breathing oxygen (ABO) system, which consists of reagent a, reagent b, and reagent c and mixing it with blood on the test paper. The number of blood samples in each reagent is based on blood lancet. Furthermore, the sensors used to detect these properties are photodiode and light emitting diode (LED) each of 3 pieces. The Arduino Uno is used to process sensor input while at the same time producing displayed human blood group type on the display screen. The test is carried out involving 12 blood samples and a medical officer. Medical officer are tasked reading directly the results of mixing between reagents and blood samples, after that are compared with the system. The results show that the deviation of the system reading is 0.167 for the sensor reading distance with the sample as far as 0.5 cm.

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“…where these drone capture the accident scene from all angles before physical presence of people within less time [8], [9]. Drone are also utilized for fire-fighting purposes, package delivery, medical kit delivery on difficult sites where the human presence need more time [10], [11]. Figure 1 shows the drone enabled IoT networks and data communication process.…”

mentioning

confidence: 99%

Data communication for drone-enabled internet of things

Aldeen

Abdulhadi

2021

IJEECS

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<p><span>Internet of things (IoT) is one of the prominent emerged technology of interconnected devices for people convenient and smart services. Recent advancement in this area caused various new challenges especially deployment of infrastructure. In order to fulfill the network requirements, the dynamic and dedicated drone networks have designed as a cost effective and flexible solution. The technologies of IoT and drone are emerged to collect, forward the data for further process. Data communication among drones and IoT infrastructure is new area of research where various different existing protocol are used. However, still this area need attention due to mobility of drones, obstacles and interferences in these networks. This paper proposes a Drone enabled Data Communication for Internet of Things (DDC-IoT) as a data communication solution for IoT networks, data collection centers and drones. The proposed data commination solution is tested in simulation to analyze its performance especially for real time critical applications in terms of data throughput and data delay.</span></p>

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An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Cited by 6 publications

References 16 publications

A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor

A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor

Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode

Data communication for drone-enabled internet of things

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