Heart Rate Monitoring Device for Arrhythmia Using Pulse Oximeter Sensor Based on Android

Agustine, Lanny; Muljono, Ivan; Angka, Peter Rhatodirdjo; Gunadhi, Albert; Lestariningsih, Diana; Weliamto, Widya Andyardja

doi:10.1109/cenim.2018.8711120

Cited by 22 publications

(13 citation statements)

References 5 publications

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“…The result of measurement on 20 random samples is shown in Table I. The measurement results of maximum cholesterol and blood sugar levels can be achieved if the subject does not perform strenuous physical activity at least 15 minutes before the measurement begins [16], so that during the measurement process, the subject is ensured to be at rest. The measurement of cholesterol and sugar levels using the prototype instrument is the average value of five data.…”

Section: A Resultsmentioning

confidence: 99%

Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application

et al. 2022

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In the era of the industrial revolution 4.0, we need remote technology and products that d not created new medical waste piles. An unhealthy lifestyle can cause many diseases, either degenerative diseases, namely over rate cholesterol and blood sugar level. High cholesterol and blood sugar levels are causes of major influence on atherosclerosis, stroke, micro-vascular, and cardiovascular complications. We offer a non-invasive cholesterol and blood sugar monitoring device based on red LED and infrared light absorption using the Nellcor DS-100A sensor. This technology can help reduce cumulative medical waste and help health workers to monitor patients remotely. This study used ten random samples to calibrate cholesterol and blood sugar levels. The coefficient of determination values were 0.9580 and 0.9581, respectively, which gave excellent values so that the study is continued by collecting data. Data retrieval use 20 random sample data to measure cholesterol and blood sugar levels, the average accuracy prototype is 90.26% and 91.16%, respectively. It shows great potential in determining estimation value at cholesterol and blood sugar levels. The monitoring system can show the data on the LCD display in Blynk Application with the average time required of 1.07 s.

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Section: A Resultsmentioning

confidence: 99%

Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application

et al. 2022

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“…Based on the recorded data, a medical intervention decision was made. In another study [ 93 ], an alarm system that can alert the patients when the oxygen saturation reaches a critical level was reported. The system was integrated with a pulse oximeter and WLAN router that were connected using the Blynk server.…”

Section: Services and Application Of Hiotmentioning

confidence: 99%

IoT-Based Applications in Healthcare Devices

Pradhan

Bhattacharyya

Pal

2021

Journal of Healthcare Engineering

258

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The last decade has witnessed extensive research in the field of healthcare services and their technological upgradation. To be more specific, the Internet of Things (IoT) has shown potential application in connecting various medical devices, sensors, and healthcare professionals to provide quality medical services in a remote location. This has improved patient safety, reduced healthcare costs, enhanced the accessibility of healthcare services, and increased operational efficiency in the healthcare industry. The current study gives an up-to-date summary of the potential healthcare applications of IoT- (HIoT-) based technologies. Herein, the advancement of the application of the HIoT has been reported from the perspective of enabling technologies, healthcare services, and applications in solving various healthcare issues. Moreover, potential challenges and issues in the HIoT system are also discussed. In sum, the current study provides a comprehensive source of information regarding the different fields of application of HIoT intending to help future researchers, who have the interest to work and make advancements in the field to gain insight into the topic.

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“…The performance of non-invasive cholesterol measuring instruments is evaluated by comparing the results of measurements from non-invasive measuring instruments and standard invasive measuring instruments in order to get the percentage of error. In order to achieve maximum cholesterol level measurement results, the subject should not perform strenuous physical activity for at least 15 minutes before the measurement begins [23].…”

Section: Tool-testingmentioning

confidence: 99%

Design and Implementation of Non-Invasive Telemedicine System for Detecting Cholesterol Levels in Blood as a Solution during the Covid-19 Pandemic

Nurmar’atin¹,

Sumarti²,

Khalif³

2021

Proceedings of the International Conference on Science and Engineering (ICSE-UIN-SUKA 2021)

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Excess total blood cholesterol can cause heart vessel disorders, stroke and the most fatal can cause death. Checking cholesterol levels should be done regularly, especially for someone who has reached adulthood. The implementation of a telemedicine system by utilizing digital technology provides convenience in exchanging medical information for early monitoring, diagnosis, and disease prevention during the Covid-19 pandemic. The design of this system can help reduce medical waste that is increasing during the pandemic. Cholesterol levels are detected using the Oxymeter sensor DS-100A which is placed on the finger by utilizing the absorption of infrared wavelengths. Arduino Uno R3 microcontroller as a minimum system for controlling the output value in the form of digital data. The measurement results are displayed on a 20x4 liquid crystal display (LCD) and an android smartphone based on the Blynk application with communication via the internet using the Wifi NodeMCU 8266 module. Testing of the instrument was carried out by measuring cholesterol levels in 35 samples taken randomly, then compared using invasive and non-invasive methods. The results of testing the tool obtained an average error value of 17.24% with a tool accuracy value of 82.76%. The final result of the error rate analysis shows that this cholesterol level detection system can be used as a rough estimate only because it is less than the limit of accuracy of medical devices that can be used for humans, which is more than or equal to 95%. The telemedicine system can display data on the Blynk application screen with an average transfer time of 2.36 s.

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Heart Rate Monitoring Device for Arrhythmia Using Pulse Oximeter Sensor Based on Android

Cited by 22 publications

References 5 publications

Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application

Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application

IoT-Based Applications in Healthcare Devices

Design and Implementation of Non-Invasive Telemedicine System for Detecting Cholesterol Levels in Blood as a Solution during the Covid-19 Pandemic

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