Design and Implementation of an SPO2 Based Sensor for Heart Monitoring Using an Android Application

Sameh, Radwa; Genedy, M.; Abdeldayem, A; Azeem, Mohamed Hassan Abdel

doi:10.1088/1742-6596/1447/1/012004

Cited by 19 publications

(9 citation statements)

References 2 publications

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“…The research conducted by [4] and [9] was then developed to process data on SpO2 levels and heart rate to detect Hypoxemia. So this research implemented a fuzzy system that will process the value of SpO2 and heart rate to detect Hypoxemia using sensor a pulse oximeter MAX30102, which is a non-invasive sensor that can detect SpO2 levels and heart rate integrated into one chip, that consists of two LEDs combination, photodetector, optimal optics, and low noise analog signal processing, then connected to a microcontroller for data processing [18]. The Fuzzy Logic approach has advantages in human cognitive traits, especially in concept formation, pattern recognition, and decision making in uncertain or unclear environments [17][19].…”

Section: Methodsmentioning

confidence: 99%

Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Dini

Rakhmatsyah²,

Wardana³

2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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This study made the digital system to perform screening (early prediction) of Hypoxemia using MAX30102 sensor with the fuzzy value from SpO2 level and heart rate. This research also uses the Internet of Things (IoT) system to gather data from devices to the cloud. Hypoxemia is a lack of oxygen in the blood flowing in the body. Hypoxemia conditions in the body due to lack of oxygen levels in the blood will cause an increased heart rate. Hypoxemia conditions that are not immediately recognized cause damage to cells, tissues, and organs. Hypoxemia is an essential condition because information about oxygen levels in the blood is closely related to health conditions. In this project, researchers built a Hypoxemia early detection system. From the research results, it is found that the accuracy rate of the system to detect hypoxemia is 80%, with 60% sensitivity and 100% specificity. Based on the experiment, this research is able to help screening detection (early prediction) of Hypoxemia.

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Section: Methodsmentioning

confidence: 99%

Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Dini

Rakhmatsyah²,

Wardana³

2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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“…Asthma patients often experience symptoms such as shortness of breath due to airway narrowing caused by hyperreactivity, leading to bronchospasm, inflammation, mucosal edema, and increased mucus production. Consequently, there is a decrease in vital lung capacity and an increase in residual volume, leading to decreased oxygen concentration in the blood and lower oxygen saturation levels [6] [7]. Oxygen saturation (SpO2), measured using oximetry, indicates the percentage of oxygen carried by hemoglobin.…”

Section: Introductionmentioning

confidence: 99%

Spo2 Analysis on Development of IoT-Based Lung Function and Spo2 Measuring Device

Shavira,

Ariswati,

Hamzah

2024

Indones.J.electronic.electromed.med.inf

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Pulmonary dysfunction is a widespread issue, particularly in developing nations. It encompasses restrictive, obstructive, and mixed pulmonary function disorders that lead to a decrease in vital lung capacity, an increase in functional residual capacity, and a decline in blood oxygen concentration and saturation. This study aims to combine oximetry and spirometry into a single device, using the Internet of Things (IoT) technology to display results via a smartphone app. The focus is on analyzing oxygen saturation, with normal levels ranging from 96% to 100% in adults, alongside a heart rate of 60-100 beats per minute. The MAX30102 sensor measures oxygen saturation, and the Arduino Pro Mini and D1 Mini ESP32 microcontrollers process data. The Android-based app, developed using Kodular platform, integrates a MySQL database and connects to the device module via Wi-Fi. Ten respondents underwent five measurements, revealing an average error of ±0.88% for oxygen saturation (SpO2) and ±2.82% for heart rate measurements. The average data loss rate during transmission was ±0.66% for SpO2 and ±0.89% for heart rate. These findings highlight existing errors in the module. The research aims to facilitate remote health monitoring for healthcare professionals, improving accessibility and healthcare provision.

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“…Heart rate beats per minute (BPM) is a parameter that shows heart health, and can be determined by calculating the heart rate frequency. Normal human heart rate ranges from 60-100 beats per minute [4] [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Design of Health Monitoring System Based on Internet of Things (IoT): ESP8266 and BLYNK

Juhaeriyah,

Agung N,

Wulandari

2023

bit-Tech

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Health monitoring is important for living creatures. There are many things that are important factors in the health of living creatures, especially humans, including heart rate, body temperature and oxygen saturation. IoT technology is very helpful in the development of health technology so that it becomes possible to monitor patient health in real time and patient emergency information can be accessed easily. This research also aims to design an Android-based heart rate monitoring system using ESP8266 as a microcontroller. The sensor used is Max30102. The research method used is applied research, with experimental research methods. The research stages carried out were literature study, software design, hardware design, system testing, and analysis. The results of the research are the design of a patient health monitoring tool with three measured indicators, namely the patient's heart rate, body temperature and oxygen levels. The system can monitor in real time based on Internet of Things and can be accessed by Android and iOS. From the study results, it was found that the Android-based health monitoring system has an accuracy rate of 97.63% and it can be said that the system can be used for patient measurements. With details, 96.71% is the accuracy level for measuring heart rate, 96.45% accuracy level for measuring oxygen levels in the patient's body, and 99.75% accuracy level for measuring patient temperature.

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Design and Implementation of an SPO2 Based Sensor for Heart Monitoring Using an Android Application

Cited by 19 publications

References 2 publications

Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Spo2 Analysis on Development of IoT-Based Lung Function and Spo2 Measuring Device

Design of Health Monitoring System Based on Internet of Things (IoT): ESP8266 and BLYNK

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