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Journal articles on the topic 'AD8232 ECG sensor'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Royan, Royan. "Studi Akurasi Sensor ECG AD8232 Terhadap ECG Simulator." CYCLOTRON 7, no. 02 (2024): 48–51. http://dx.doi.org/10.30651/cl.v7i02.23095.

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Penyakit jantung masih menjadi penyebab kematian terbesar di dunia. Berdasarkan informasi data WHO (World Health Organization). Pemeriksaan jantung perlu dilakukan. Jantung adalah organ penting yang bisa mempengaruhi kinerja dari organ lainnya. Sensor ECG AD8232 merupakan sensor yang murah dan banyak digunakan pada monitoring kesehatan jantung. Selain harganya yang murah Sensor ECG AD8232 juga mampu menyaring, mengekstrak, dan memperkuat sinyal biopotensial tubuh. Tujuan penelitian yang dilakukan adalah untuk mengetahui kinerja Sensor ECG AD8232. Parameter HR (heart rate) dibandingkan dengan E

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Setiawan, Muhammad Haryo, Nurjanah Arvika Sari, Wahyu Latri Prasetya, Muslih Rayullan Feter, Dodi Saputra, and Alfian Ma’arif. "Implementation of Heart Rate System using AD8232 and Arduino Microcontrollers." Signal and Image Processing Letters 2, no. 1 (2023): 36–44. https://doi.org/10.31763/simple.v2i1.84.

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The human heart's pivotal role in maintaining overall health by ensuring oxygen and nutrient delivery to tissues and waste elimination highlights the global importance of cardiac health. Electrocardiography (ECG) is a fundamental tool for assessing cardiac conditions, capturing intricate electrical signals during each heartbeat. ECG sensors are instrumental in this process, finding extensive applications in personal health monitoring, disease management, and medical research. This article emphasizes the significance of ECG sensors, particularly the AD8232 ECG sensor paired with the Arduino Nan

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Agustian, Indra. "Rancang Bangun Pemantau Detak Jantung dan Suhu Tubuh Portabel Dengan Sistem IoT." JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 9, no. 2 (2019): 14–18. http://dx.doi.org/10.33369/jamplifier.v9i2.15378.

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ABSTRAKPemeriksaaan detak jantung dan suhu tubuh dapat sangat membantu tenaga kesehatan untuk mendiagnosis kondisi kesehatan pasien. Untuk memudahkan tenaga kesehatan, maka dirancang alat pemantau detak jantung portabel dengan sistem IoT. Desain portabel ditujukan agar alat ini mudah dibawa, dan mudah digunakan oleh pasien yang sedang rawat jalan, sedangkan fungsi IoT, tenaga kesehatan dapat memantau kondisi pasien dari jarak jauh dan secara kontinyu. Detak jantung dideteksi menggunakan sensor ECG AD8232, dan suhu tubuh dideteksi menggunakan sensor DS18B20 terkoneksi ke mikrokontroler. Penguji

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Raghunatha Rao, Mr H., P. Prasanna Kumari, T. Hari Prasanna, P. Sai Kumar, and R. Gurappa. "IOT Based Health Monitoring and Location Tracking System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43740.

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The system utilizes an Arduino Mega micro controller interfaced[1] multiple biomedical sensors, including the ECG AD8232, MAX30102[2]The MPU6050 accelerometer is integrated to detect sudden falls.A TFT 1.8-inch LCD display provides real-time output, while a GSM module ensures SMS based communication, and a GPS module transmits location details. module ensures SMS-based communication, and a GPS module transmits location details.The working mechanism involves continuous monitoring of heart rate, temperature, and fall detection[6] the system triggers an alert and sends an SMS with GPS coordinates

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P, Siva Pradeep, Thirukkumaran R, Saranraj S, and SanthoshKumar K. "ECG Generation Using IoT Based System." International Journal of Engineering Research in Electronics and Communication Engineering 9, no. 9 (2022): 7–11. http://dx.doi.org/10.36647/ijerece/09.09.a002.

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ECG is one of the techniques to measure the heart’s rhythm of the person. It helps to diagnose and monitor conditions affecting the heart. It can be used to investigate symptoms of a possible heart problem, such as chest pain, palpitations (suddenly noticeable heartbeats), dizziness and shortness of breath. With the help of AD8232 heart monitor sensor it is possible to generate an ECG.

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Bhilare, Aditi S., Mansi G. Kamble,, and P. P. .Shah. "WIRELESS ECG MONITORING SYSTEM." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem02578.

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In today’s healthcare environment, continuous monitoring of a patient’s heart activity is crucial for early diagnosis and timely medical intervention. This paper presents a Wireless ECG Monitoring System that enables real-time ECG data acquisition and transmission using IoT technology. The system consists of an AD8232 ECG sensor, an ESP32 microcontroller, and electrodes for signal acquisition. The collected data is processed using Arduino and displayed on Ubidots, allowing remote monitoring of heart health. This system provides an efficient, cost- effective, and wireless alternative to traditi

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Waghchawre, Sagar. "IOT Based Heart Monitoring System Using ECG." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49964.

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Abstract Cardiovascular diseases are among the top causes of death globally, highlighting the critical need for dependable, continuous, and remote heart monitoring solutions. This study introduces the development of a cost-effective IoT-based cardiac monitoring system designed to detect and transmit real-time ECG signals. The setup features an AD8232 ECG sensor connected to an Arduino-compatible Atmega328p microcontroller, which captures and preprocesses electrical signals from the heart. For wireless communication, the system uses a NodeMCU (ESP8266) module to send the data to a cloud platfor

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Kumar, Pagadala Pavan, Thokala Santhosh Naidu, and Mr S. Vishnu. "Remote Ecg Monitoring System by using Iot." International Journal of Engineering and Advanced Technology 9, no. 1s5 (2019): 71–73. http://dx.doi.org/10.35940/ijeat.a1021.1291s519.

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In this paper, we proposed a prototype to monitor the heartbeat of a patient perpetually through the cloud. The AD8232 sensor is utilized to quantify the heartbeat. Nodemcu ESP 8266 microcontroller is utilized to process the data like transmitting and receiving the data. The data from the heartbeat sensor is accumulated through the microcontroller and the data is posted into the cloud with the avail of Thingspeak. This model is very secure in terms of data because the target person is connected to the medico predicated on the unique IP address which provides us a secure transmission of data. T

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Shagun Tyagi, Harshit Singhal, Tushar Gupta, Kanishka Mehrotra, and Ajay Kumar. "Health monitoring system using ECG and PPG techniques." International Journal of Science and Research Archive 12, no. 1 (2024): 3. http://dx.doi.org/10.30574/ijsra.2024.12.1.0781.

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The demand for portable health monitoring systems has grown rapidly in recent years due to the increasing prevalence of chronic diseases and the need for continuous health monitoring. This article introduces the development and implementation of a portable health monitoring system using photo plethysmography (PPG) and electrocardiogram (ECG) technologies. The system integrates the Node MCU ESP8266 microcontroller, AD8232 ECG sensor, and MAX30100 sensor to measure vital signs such as heart rate and blood oxygen saturation level. The proposed system provides a cost-effective and efficient soluti

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Rao, Dr G. Manmadha. "IoT Based Health Monitoring System." International Journal of Engineering and Advanced Technology 11, no. 5 (2022): 138–43. http://dx.doi.org/10.35940/ijeat.e3616.0611522.

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The brand new outbreak of Coronavirus poses a primary threat and has been declared a global public fitness emergency. entire world is trying to stop the virus but no efficient device and approach is there to govern it. Tracking a patient's fitness remotely is genuinely essential, especially for patients affected by a long term disease. This necessitates the creation of a single platform where consumers may monitor data in real time. This paper discusses health monitoring systems that can be implemented with market sensors and allow patients to be tracked without needing to visit a doctor. Doct

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K, Sakthishivasankar. "Cardio Disease Analysis (IoT – Deep Learning)." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem03005.

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Abstract: Cardiovascular diseases (CVDs) are among the leading causes of mortality worldwide, emphasizing the need for early diagnosis and continuous monitoring. In this study, we propose an IoT-based electrocardiogram (ECG) monitoring system using ESP32 and the AD8232 sensor (1-lead) to acquire real-time heart signals. The collected ECG data is analyzed using a deep learning model that classifies the heartbeat as normal or abnormal based on an existing ECG dataset. The system integrates IoT technology for remote patient monitoring and deep learning algorithms, including 1D Convolutional Neura

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Dr., G. Manmadha Rao, Hemalatha B., Devi T., Padma Priya R., and Tarun N. "IoT Based Health Monitoring System." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 5 (2022): 138–43. https://doi.org/10.35940/ijeat.E3616.0611522.

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<strong>Abstract: </strong>The brand new outbreak of Coronavirus poses a primary threat and has been declared a global public fitness emergency. entire world is trying to stop the virus but no efficient device and approach is there to govern it. Tracking a patient's fitness remotely is genuinely essential, especially for patients affected by a long term disease. This necessitates the creation of a single platform where consumers may monitor data in real time. This paper discusses health monitoring systems that can be implemented with market sensors and allow patients to be tracked without

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Gayatree, Deepak Sharma, Sahu Pratyansh, and Lamba Kanika. "IoT based ECG Monitoring System." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 398–401. https://doi.org/10.5281/zenodo.6604944.

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In the recent human health care scenario, the majority of people are battling from arrhythmia, which is a sort of cardiovascular ailment that develops when a person's heart rate is irregular or unstable. Health monitoring and the numerous technologies that go with it are a viable research topic. The number of ECG monitoring systems available in the literature is rapidly growing. As a result, it's difficult for researchers and healthcare professionals to select, compare, and assess systems that meet their demands while also meeting monitoring criteria. We propose a taxonomy for ECG moni

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Kamati, Veer Chandra. "Arduino-Based Real-Time ECG Monitoring System for Heart Signal Visualization." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 910–15. http://dx.doi.org/10.22214/ijraset.2024.64287.

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Electrocardiogram (ECG) monitoring is an essential tool in healthcare for diagnosing and tracking heart conditions. However, existing ECG devices are often expensive, limiting accessibility for personal or educational use. This project aims to develop a low-cost ECG monitoring system using an Arduino UNO, AD8232 sensor, and TFT SPI display. The system collects ECG signals via electrodes and displays the real-time PQRST waveform on the TFT screen and the Arduino IDE serial monitor. Resistors are utilized to ensure signal clarity by reducing electrical noise. The project successfully demonstrate

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Abdul Razak, Siti Fatimah, Sharifah N. M. Sayed Ismail, Bryan Hii Ben Bin, Sumendra Yogarayan, Mohd Fikri Azli Abdullah, and Noor Hisham Kamis. "Monitoring Physiological State of Drivers Using In-Vehicle Sensing of Non-Invasive Signal." Civil Engineering Journal 10, no. 4 (2024): 1221–31. http://dx.doi.org/10.28991/cej-2024-010-04-014.

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Eighty percent of traffic accidents are caused by human error, called hypo vigilance, stemming from drowsiness, stress, or distraction while driving. This poses a significant threat to road safety. An electrocardiogram (ECG) is often used to monitor drivers' health. Thus, enhancing vehicles with Internet of Things (IoT) sensors and local analytical databases becomes crucial for real-time detection and transmission of relevant health data to avoid things that compromise road traffic safety. This study introduces a cost-effective in-vehicle ECG sensing prototype using an AD8232 sensor integrated

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Manoj, Kumar. "ECG Health Monitoring System Using ARDUINO." Research and Applications: Embedded System 3, no. 3 (2020): 1–5. https://doi.org/10.5281/zenodo.3997023.

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<em>“Health is wealth” it is very famous proverb. The cost of medical checkup is very high and time taking, due to this people are attracted towards the instruments which are of low cost, high accuracy and instant result provider. Wearable health monitoring system is playing very significant role in getting accurate and very instant result. Proposed system works at 5 volt. It Includes AD8232 pulse sensor that measures ECG signal and it is displayed over the laptop. Heart beats is measured and send directly to android application wirelessly where user can check his health. Using thi

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L N, Dayananda. "Portable Non – Invasive Device for ECG and EMG Monitoring." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48910.

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Abstract— This project proposes the design and implementation of a portable, non-invasive ECG and EMG monitoring system using the ESP32-S3 microcontroller. The system is capable of capturing and displaying real-time bioelectrical signals from the human body using two dedicated sensors—an AD8232 module for electrocardiogram (ECG) signal acquisition and a modular EMG sensor for muscle activity monitoring. The ESP32-S3’s built-in ADC is used to digitize the signals, which are then processed and displayed as scrolling waveforms on a 320×240 SPI TFT display. A push-button interface is incorporated

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Fiyanto, Roy Oktaf, Mochammad Djaohar, Massus Subekti, and Aris Sunawar. "Design and Development of a Heart Rate and Blood Oxygen Saturation Monitoring Device in Humans During Sleep Condition Based on the Internet of Things." Journal of Electrical Vocational Education and Technology 7, no. 1 (2024): 55–66. https://doi.org/10.21009/jevet.0071.05.

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This research aims to create a heart rate monitoring device (BPM), oxygen saturation (SpO2), and electrocardiogram (ECG) in IoT-based sleep conditions and connected to Blynk and Telegram. This tool allows monitoring BPM, SpO2, and ECG values through the LCD screen on the tool or remotely through the Blynk and Telegram applications as IoT media. This research uses engineering methods that involve designing, making tools, testing tools, data collection, and data analysis. The subjects of this research are BPM, SpO2, ECG, and the application of IoT concepts to monitor remotely and provide real-ti

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Isma, Teguh Wijaksana, Milda Yuliza, Tuti Angraini, and Roza Susanti. "Efektifitas Sensor Elektrokardiograf (EKG) AD8232 Untuk Mendeteksi Kelelahan Pada Saat Penggunaan Smartphone." Elektron : Jurnal Ilmiah 12, no. 1 (2020): 7–11. http://dx.doi.org/10.30630/eji.12.1.148.

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Smartphones are electronic devices that are widely used in the current modern era. Ranging from children to adults are using smartphones. Lack of knowledge from smartphone users makes the use of smartphones improperly exceeding the body's limits. This makes a variety of negative impacts of using a smartphone. One way to overcome this problem is to use an electrocardiograph (ECG) sensor. The use ECG is to determine the fatigue of smartphone users based on heart rate rhythm. The sensor used as fatigue detection is the type AD8232. The result of this process is a secure or insecure condition for

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Singh, Akshika, Anshika Pandey, Aman Patel, and Seema Nayak. "Portable ECG monitoring system with IOT analysis." Spectrum of Emerging Sciences 4, no. 1 (2024): 48–52. http://dx.doi.org/10.55878/ses2024-4-1-9.

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This system is designed to calculate the heart rate of patients and transmit the data in beats per minute (bpm) to a cloud database. By using this system, doctors can analyze critical parameters remotely. The project involves interfacing the AD8232 ECG Sensor with the NodeMCU ESP8266 Board to monitor ECG waveforms on a Serial Plotter Screen and transmit the data to an IoT cloud platform for real-time monitoring. This innovation allows for remote monitoring of heart activity, reducing the need for hospital stays. Utilizing the Blynk IoT platform, the system ensures online access via PC or Smart

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Prasetyo, Ragil Hadi, Edita Rosana Widasari, and Agung Setia Budi. "Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine." Jurnal Teknologi Informasi dan Ilmu Komputer 9, no. 7 (2022): 1757. http://dx.doi.org/10.25126/jtiik.2022976837.

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<p><span>Jantung merupakan organ yang sangat penting bagi tubuh manusia karena jika mengalami gangguan pada jantung akan memberi dampak yang besar pada tubuh. Menurut World Health Organization (WHO) kematian yang disebabkan oleh penyakit jantung di dunia mencapai 17.9 juta setiap tahunnya. Salah satu gangguan pada jantung adalah Myocardial Infarction yaitu gangguan yang diakibatkan oleh penyumbatan darah menuju jantung. Salah satu cara untuk mengetahui seseorang menderita Myocardial Infarction yaitu dengan melakukan tes Electrocardiogram (ECG), tetapi untuk melakukan test ECG terse

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Syam, Rafiuddin, Wisnu Djatmiko, Muhammad Yusro, Vina Oktaviani, Siti Nur Aeni, and Andi Amijoyo Mochtar. "Design a Simple Portable Electrocardiograph Based on the IOT Concept." Journal of Physics: Conference Series 2866, no. 1 (2024): 012057. http://dx.doi.org/10.1088/1742-6596/2866/1/012057.

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Abstract There are many cases of heart disease with death associated. The symptoms are not always clearly visible and require examination using an electrocardiogram (ECG) device to be detected. Recording human electrical activity can be done in various organs of the human body, one of which is in the heart. An ECG is a medical test to detect electrical activity signals produced by the heart by exchanging the signals on a monitor or graph on paper. This study aimed to design, build, test, and analyze a portable ECG device that is compact and easy to use. This portable electrocardiogram helps mo

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Badole, Mr Mayur. "A Review on IoT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 4323–27. http://dx.doi.org/10.22214/ijraset.2022.43138.

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Abstract: Today, heart disease is considered one of the leading causes of untimely death. Thus, engineers have developed a variety of therapeutic devices to diagnose and evaluate various diseases. Health care has become one of the most important issues for both individuals and governments due to rapid population growth and medical costs. Many patients suffer from cardiovascular complications that cause serious threats to their health, so they need constant monitoring with a traditional monitoring system such as Electrocardiographic (ECG) which is a very important method used to measure cardiac

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Suryana, Yaya, and Rafi Aziz. "Sistem Pemonitor Detak Jantung Portable Menggunakan Tiga Sensor Elektroda." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 4, no. 1 (2018): 14. http://dx.doi.org/10.36722/sst.v4i1.240.

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<p><em>Abstrak</em> - <strong>Elektrokardiogram (EKG) adalah sinyal fisiologis yang dihasilkan dari aktivitas listrik jantung. Sinyal ini direkam menggunakan elektrokardiograf. Dalam penelitian ini dilakukan sistem pemantauan denyut jantung dengan menggunakan tiga sensor elektroda timah. Memroses aplikasi perangkat lunak yang digunakan untuk menampilkan informasi yang dihasilkan dari modul. Perangkat keras front-end adalah modul Heart Rate Monitor AD8232, mikrokontroler ATmega328 Arduino mini pro, dan elektroda. Peralatannya memiliki dimensi kecil sehingga bisa dibawa k

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Das, S., S. Roy, S. Ghosh, S. Mukherjee, U. Bhattacharya, and B. RoyChowdhury. "Micro-ECG-monitoring system based on arduino with bluetooth feature." Journal of Physics: Conference Series 2286, no. 1 (2022): 012006. http://dx.doi.org/10.1088/1742-6596/2286/1/012006.

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Abstract Cardiovascular disease (CVD) is one of India's most deadly diseases, with a 4.77 million annual death rate in 2020 [1]. CVD rates have risen from 1.6 percent to 7.4 percent in rural areas and from 1 percent to 13.2 percent in urban areas [1]. Electrocardiogram (ECG) devices, which monitor the heart's activity, are far too expensive to be used for personal care. In this project, we created a low-cost device using an Arduino (UNO/MEGA) microprocessor and a Real-time ECG graph display feature. The main instrument for measuring the pulse is the AD8232 sensor, which converts the sense-volt

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Arafat, Arafat, and Wagino Wagino. "SISTEM SMART HEALTHCARE MENGGUNAKAN AD8232 BERBASIS BERBASIS INTERNET OF THINGS." Technologia: Jurnal Ilmiah 10, no. 4 (2019): 228. http://dx.doi.org/10.31602/tji.v10i4.2559.

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ABSTRAKPemantauan data secara terus-menerus dengan teknologi IOT akan menjadi sebuah platform untuk industri kesehatan, yang mana akan memungkinkan dokter dengan cepat dan efektif untuk mendiagnosis kesehatan pasien nya.Sistem monitoring pasien secara real time akan mengirimkan data yang dipantau langsung kedalam jaringan ke internet. IOT untuk Healthcare dapat digunakan pada pasien kritis yang perlu berada di bawah pemantauan secara terus-menerus; terutama jika tidak ada atau tidak tersedianya dokter di daerah pasien tinggal. Deteksi dini penyakit dimungkinkan dengan menggunakan aplikasi IoT

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G.M., Sharif Ullah Al-Mamun, and Kabir Firuz. "Design and management of cloud assisted smart ICU for Covid-19 patients real-time health parameters measurement based on IoT's through wireless sensor network." International Research Journal of Science, Technology, Education, and Management 1, no. 2 (2021): 78–96. https://doi.org/10.5281/zenodo.5726340.

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A smart healthcare monitoring and measurement system are designed to use in hospitals for monitoring various parameters such as oxygen level, ECG, temperature, humidity, blood pressure for Covid-19 patient, who needs an ICU. This framework can be carried out for numerous biological applications. Network of Covid-19 patient’s nodes must be available in the ICU room for measurement. A base node collects all these signals and this is to be monitored in the monitoring room which is connected to the Cloud system for real-time monetization from any time anywhere. An ESP32 board is used in all

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Chong, Kok-Keong, and Guan-Zhen Wong. "Solar powered a wearable Electrocardiography (ECG) device with battery storage." IOP Conference Series: Earth and Environmental Science 945, no. 1 (2021): 012048. http://dx.doi.org/10.1088/1755-1315/945/1/012048.

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Abstract In this article, we propose a wearable ECG device that can be continuously powered by both the sun and artificial lighting via battery charging. The ECG signal acquired by the AD8232 wearable sensor associated with Arduino Nano is sent to the smartphone via Bluetooth. To study the feasibility of solar powered wearable gadget, we have conducted several experiments to analyze the charging speed in both outdoor and indoor conditions. For fully charging 1200 mAh battery, the two solar panels require periods of 5 - 11 hours and 1698 - 1942 hours for outdoor and indoor conditions respective

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Kulkarni, A. S., M. Suchetha, and N. Kumaravel. "IoT based Low Power Wearable ECG Monitoring System." Current Signal Transduction Therapy 14, no. 1 (2019): 68–74. http://dx.doi.org/10.2174/1574362413666180622105447.

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Background: An electrocardiogram device monitors the cardiac status of a patient by recording the heart’s electrical potential vs time. Such devices play a very important role to save the life of patients who survive a heart attack or suffer from these patients. An early detection of conditions that lead to the onset of cardiac arrest allows doctors to provide proper treatment on time and prevents death or disability from cardiac arrest. Most developing countries have very poor information about these health care issues. Methods: An actual deployment of the system was used to evaluate key aspe

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Chauhan, Sarita. "IOT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 1970–77. http://dx.doi.org/10.22214/ijraset.2023.53995.

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Abstract: In India, close to regarding two hundredth of the whole population loses their lives because of interrupted health observance system i.e., in most of the hospitals, doctor visits patients either in morning shift or in evening shift or in each shift. What happens if patient's health becomes important in between that interval or once a doctor isn't on the market with a patient. the solution is a patient could lose her\his life. thus, to avoid this important situation; we tend to area unit proposing a sensible embedded system device that monitors patients’ health ceaselessly. This proje

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Adamu, Adamu Yusuf, Nnenna Harmony Nwobodo-Nzeribe, Peter Eze-Steven Dr., and Charles N. Nwabueze. "Design and Implementation of Portable Low-Cost Heart Rate Monitoring ECG System." Engineering and Technology Journal 10, no. 01 (2025): 3487–92. https://doi.org/10.5281/zenodo.14604435.

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Electrocardiogram is an important health parameter in the diagnosis of cardiovascular diseases, which are among the leading cause of death in the world including Nigeria. This research work “portable low-cost heart rate monitoring ECG system” is designed to assist patient with cardiovascular diseases to monitor their heart condition. It will also assist the medical personnel during the diagnosis of cardiovascular issues. We have used bottom-top software development approach to design an easy to use ECG system by interfacing AD8232 ECG sensor module with Arduino Nano as microcontrol

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H, Nissa, Rachman A.S, and Sasongko Sudi Mariyanto Al. "RANCANG BANGUN ALAT MONITORING ELEKTROKARDIOGRAM (ECG) PORTABEL BERBASIS ARDUINO." TESLA: Jurnal Teknik Elektro 26, no. 1 (2024): 11–20. http://dx.doi.org/10.24912/tesla.v26i1.29356.

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Electrocardiogram is a medical device to measure heart rhythm and electrical activity of the heart. Electrocardiogram is recommended for patients who have symptoms of chest pain, palpitations, heart rhythm disturbances (arrhythmias), shortness of breath, dizziness, weakness, and fatigue quickly to find out what diseases are lodged in the body need direct examination, especially checking heart rhythm. However, some hospitals or puskesmas located in remote areas do not have these tools because of various factors, especially the price of the tool is too expensive. This research is a research deve

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Patil, V. K., V. R. Pawar, S. P. Kulkarni, T. A. Mehta, and N. R. Khare. "Real Time Emotion Recognition with AD8232 ECG Sensor for Classwise Performance Evaluation of Machine Learning Methods." International Journal of Engineering 36, no. 6 (2023): 1040–47. http://dx.doi.org/10.5829/ije.2023.36.06c.02.

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Islam, Md Reazul, Md Mohsin Kabir, Muhammad Firoz Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che. "Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time." Sensors 23, no. 11 (2023): 5204. http://dx.doi.org/10.3390/s23115204.

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With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather and analyze a wide range of physiological data, including blood oxygen levels, heart rates, body temperatures, and ECG signals, and then provide real-time feedback to medical professionals so they may take appropriate action. This paper proposes an IoT-based system for remote monitoring and early dete

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Verma, Saurav, and Prof Dharmesh. "Low-Cost ECG Analyzing System." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 626–37. http://dx.doi.org/10.22214/ijraset.2022.46695.

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As we are aware of the fact that a fully functional and a healthy heart is a key for a living being to remain alive. In order to monitor the proper functioning of the heart the primitive method of Electrocardiogram (ECG) can be adopted, which keeps the beats in check. The state of having an irregular heartbeat is known as Arrhythmia. The types of Arrhythmia can be apparent based on the factors that cause it. ECG signals consist of ‘PQRST’ waves. To identify the types of Arrhythmia it is vital to analyse the PQRST wave. In order to avoid fatality and to provide immediate medical assistance the

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A Imrana, Janaranjan BS, Krithin K R, Mavikka S, and Dr.Gopalakrishnan S. "Design and Development of Cloud Based Real Time ECG Anomaly Detection." international journal of engineering technology and management sciences 7, no. 5 (2023): 132–40. http://dx.doi.org/10.46647/ijetms.2023.v07i05.015.

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The functionality of the heart is assessed by analysing the electrocardiogram (ECG) signal. Numerous methods were developed for the accurate detection of heart diseases utilising the recorded ECG signals. However, individuals with serious heart diseases must be constantly observed, especially if there are few indicating bio-signal patterns. Real-time data collection and processing enables early detection of heart diseases and prevent complications. The AD8232 sensor is used in the project along with its interface with the Node MCU for real time acquisition of ECG signal. The intervals of the P

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Pratama, Destra Andika, Masayu Anisah, and Septi Adila Marlianda. "Real-Time Changes of Heart Rhythm Using MATLAB." International Journal of Research in Vocational Studies (IJRVOCAS) 3, no. 2 (2023): 53–59. http://dx.doi.org/10.53893/ijrvocas.v3i2.202.

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Highest mortality from cardiovascular disease (CVD) in 2019: 17.9 million people died worldwide, accounting for 32% of all deaths, 85% of which were due to heart attack and stroke. In Indonesia, 651,481 people die from cardiovascular disease each year, including 331,349 from stroke, 245,343 from coronary heart disease, and 50,620 from hypertension and other cardiovascular diseases. Disturbance of changes in heart rhythm is a condition when the heart's electrical activity is irregular, it can be faster or slower than usual. This disorder is closely related to cardiovascular diseases such as hyp

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Akter, Monalisa, Nayeema Islam, Abdul Ahad, Md Asaduzzaman Chowdhury, Fahim Foysal Apurba, and Riasat Khan. "An Embedded System for Real-Time Atrial Fibrillation Diagnosis Using a Multimodal Approach to ECG Data." Eng 5, no. 4 (2024): 2728–51. http://dx.doi.org/10.3390/eng5040143.

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Cardiovascular diseases pose a significant global health threat, with atrial fibrillation representing a critical precursor to more severe heart conditions. In this work, a multimodality-based deep learning model has been developed for diagnosing atrial fibrillation using an embedded system consisting of a Raspberry Pi 4B, an ESP8266 microcontroller, and an AD8232 single-lead ECG sensor to capture real-time ECG data. Our approach leverages a deep learning model that is capable of distinguishing atrial fibrillation from normal ECG signals. The proposed method involves real-time ECG signal acqui

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Al-Jabbar, Entisar Y. Abd Al, Marwa M. Mohamedsheet Al .., Maysaloon Abed Qasim, Wameedh Raad Fathel, and Maan Ahmed Fadhil. "Clinical Fusion for Real-Time Complex QRS Pattern Detection in Wearable ECG Using the Pan-Tompkins Algorithm." Fusion: Practice and Applications 12, no. 2 (2023): 172–84. http://dx.doi.org/10.54216/fpa.120214.

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This scientific paper presents a novel approach of real-time signal analysis in electrocardiogram (ECG) monitoring systems, focusing on the integration of device design,algorithm implementation for accurate measurement and interpretation of heart activity. The proposed system leverages a low-cost framework, employing a microcontroller and Arduino programming language for raw ECG data acquisition, while utilizing the AD8232 sensor and ESP8266 Node MCU for continuous patient monitoring. The acquired data is processed, stored, and analyzed using the Pan-Tompkins algorithm, which effectively filte

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Marie-Ange, Essinga, and Mbihi Jean. "Design and Experimental Study of a Multichannel Instrument for ESP32-Based Digital Acquisition and Local Monitoring of Biological Parameters of the Baby's Body." European Journal of Advances in Engineering and Technology 8, no. 10 (2021): 36–43. https://doi.org/10.5281/zenodo.10651313.

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<strong>ABSTRACT</strong> <em>This paper presents a multichannel instrument for simultaneous digital acquisition and local monitoring of three biological parameters of a baby’s body, i.e., ECG (ElectroCardiGram) signal, temperature and humidity. The integrated hardware modules of proposed the instrument consist of an AD8232 device for ECG detection, a DHT11 sensor for both temperature and humidity detection, and an ESP32 WROOM microchip for digital signal acquisition. A virtual prototyping of the instrument is built using Fritzing software, while Arduino IDE/C++ is used for real time pro

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Anan, Safayat Reza, Md Azizul Hossain, Md Zubayer Milky, Mohammad Monirujjaman Khan, Mehedi Masud, and Sultan Aljahdali. "Research and Development of an IoT-Based Remote Asthma Patient Monitoring System." Journal of Healthcare Engineering 2021 (November 30, 2021): 1–21. http://dx.doi.org/10.1155/2021/2192913.

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This paper presents the research and development of an Internet of Things- (IoT-) based remote health monitoring system for asthmatic patients. Asthma is an inflammatory disease. Asthma causes the lungs to swell and get narrower, making it difficult to carry air in and out of the lungs. This situation makes breathing very difficult. Remote patient monitoring (RPM) is a method of collecting health-related data from patients who are in a remote location and electronically transmitting it to healthcare providers for evaluation and consultation. The aim of this study is to design a monitoring syst

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Ratanasari, Dittha, Edita Rosana Widasari, and Rizal Maulana. "Sistem Pendeteksi Central Sleep Apnea Menggunakan Metode Neural Network dengan Fitur RR Interval dan Durasi QRS." Jurnal Teknologi Informasi dan Ilmu Komputer 9, no. 7 (2022): 1623. http://dx.doi.org/10.25126/jtiik.2022976758.

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<p>Penyakit Central Sleep Apnea (CSA) adalah gangguan tidur akibat otak gagal memberi tahu otot-otot untuk bernapas sehingga terjadi periode henti napas ketika tidur. Kondisi ini menganggu jumlah, kualitas atau durasi tidur seseorang dan memicu sumber masalah kelelahan di siang hari, masalah jantung, tekanan darah tinggi dsb. Standar diagnosis pemeriksaan kondisi CSA adalah polisomnografi yang terkenal terbatas. Sebab tingginya prevalensi Sleep Apnea dan kurangnya ketersediaan diagnosis pemeriksaan, juga dibutuhkan biaya yang relatif tinggi. Penelitian ini dilakukan untuk mengembangkan s

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Krishna, Sarker, and Sarkar Koustuv. "A digital healthcare monitoring system with real-time analysis." i-manager’s Journal on Electrical Engineering 18, no. 1 (2024): 26. https://doi.org/10.26634/jee.18.1.21233.

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In the contemporary landscape of healthcare, the demand for efficient and proactive monitoring solutions is paramount. Digital healthcare monitoring systems, leveraging cutting-edge technologies such as the Internet of Things (IoT), have emerged as transformative tools in revolutionizing health data collection, analysis and utilization. This paper presents a comprehensive overview of a Digital Healthcare Monitoring System with Real-Time Analysis, aimed at providing continuous, real-time monitoring of vital health parameters through a custom-built mobile application. The system integrates vario

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Ghifari, Achmad, and Edita Rosana Widasari. "Sistem Pendeteksi Sleep-Disordered Breathing Berdasarkan High dan Low Frequency Menggunakan Metode Naïve Bayes." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 4 (2023): 815–22. https://doi.org/10.25126/jtiik.2024106913.

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Tidur merupakan aktivitas dimana otak memberikan tubuh waktu istirahat secara total. Kualitas tidur penting untuk menjaga kondisi fisik maupun mental seseorang. Buruknya kualitas tidur disebabkan oleh gangguan tidur. Gangguan tidur yang paling umum terjadi adalah Sleep-disordered Breathing (SDB) atau Sleep Apnea, dimana penderitanya akan mengalami henti napas secara berulang saat tertidur. Sleep Apnea dikategorikan menjadi 2, yaitu Obstructive Sleep Apnea (OSA) dan Central Sleep Apnea (CSA). Diagnosis gangguan tidur dilakukan dengan Polysomnography yang cenderung mahal dan kurang nyaman. Hasil

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Carestia, Dario R., Andres F. Beltran, Francisco Cerdera, Marta L. Sanchez, and Francisco Ibáñez. "Physiological impact of breathing on health and stress level." Interdisciplinary Rehabilitation / Rehabilitacion Interdisciplinaria 3 (June 30, 2023): 46. http://dx.doi.org/10.56294/ri202346.

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Introduction: there are numerous publications comparing the results, of a group of people who practice a particular type of meditation for a certain period of time, called the evaluation group, with another group of people who do not meditate, commonly referred to as the control group, and statistics such as confidence intervals, "p" value, etc. are presented. On the impact of meditation on stress. While this work has had a great impact on a large number of people, there is still considerable disbelief, particularly in the academic and scientific world. Methods: a prototype heart rate recorder

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Ghifari, Achmad, and Edita Rosana Widasari. "Sistem Pendeteksi Sleep-Disordered Breathing Berdasarkan High dan Low Frequency Menggunakan Metode Naïve Bayes." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 4 (2023): 815. http://dx.doi.org/10.25126/jtiik.20241046913.

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<p>Tidur merupakan aktivitas dimana otak memberikan tubuh waktu istirahat secara total. Kualitas tidur penting untuk menjaga kondisi fisik maupun mental seseorang. Buruknya kualitas tidur disebabkan oleh gangguan tidur. Gangguan tidur yang paling umum terjadi adalah <em>Sleep-disordered Breathing</em> (SDB) atau <em>Sleep Apnea</em>, dimana penderitanya akan mengalami henti napas secara berulang saat tertidur. <em>Sleep Apnea</em> dikategorikan menjadi 2, yaitu <em>Obstructive Sleep Apnea </em>(OSA) dan <em>Central Sleep Apnea</em&

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E. I., Ekoro,, and Agana, M. A. "Healthcare Sensor –Based Physiological Parameters Data Aggregation and Analytics Scheme for Monitoring of Patients in Internet of Medical Things (IoMT) Enabled E-Healthcare Platform." British Journal of Computer, Networking and Information Technology 8, no. 2 (2025): 1–14. https://doi.org/10.52589/bjcnit-vruhjjln.

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Inadequate mechanism for efficient patient health monitoring and data aggregation mechanism in healthcare services has posed a serious bottleneck to healthcare delivery the world over. Healthcare sensors have become an accessible means for the communication of data from patients to medical personnel. The use of healthcare sensors is also an invention in medical practice which involves measuring vital physiological parameters of patients with the objectives of detecting disorders to mitigating them and preventing severe complications. In this research, a system architecture for effective tracki

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Cuevas-González, Daniel, Miguel Bravo-Zanoguera, Eladio Altamira-Colado, Roberto López-Avitia, Juan Pablo García-Vázquez, and Marco A. Reyna. "Coping with Motion Artifacts by Analog Front-End ECG Microchips under Variable Digital Resolution and Gain." Engineering Proceedings 2, no. 1 (2020): 12. http://dx.doi.org/10.3390/ecsa-7-08247.

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The development of portable ECG technology has found growing markets, from wearable ECG sensors to ambulatory ECG recorders, encountering challenges of moderately complex to tightly regulated devices. This study investigated how a typical 0.5–40 Hz bandwidth ECG is affected by motion artifact when using analog front-end (AFE) integrated circuits such as the AD823X family. It is known that the typical amplitude resolution of current mobile health ECG devices is 10–12 bits, and sometimes 16-bits, which is enough for monitoring but might be insufficient to identify the small potential amplitudes

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Mendes Junior, José Jair Alves, Daniel Prado Campos, Lorenzo Coelho de Andrade Villela De Biassio, et al. "AD8232 to Biopotentials Sensors: Open Source Project and Benchmark." Electronics 12, no. 4 (2023): 833. http://dx.doi.org/10.3390/electronics12040833.

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Acquiring biopotentials with fidelity using low-cost circuits is a significant challenge in biomedical instrumentation. In this perspective, our goal is to investigate the characteristics of the widely applied AD8232®, an analog front-end for biopotential acquisition. We designed and evaluated circuits to acquire the most common biosignals: electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG). Our findings show that the circuit is suitable for ECG and EMG instrumentation, although it has limitations for EEG signals, particularly concerning the gain. The entire project

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S, Buvaneshwari. "IoT-Based Remote Patient Health Monitoring System Using Raspberry Pi and Machine Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 7 (2025): 898–900. https://doi.org/10.22214/ijraset.2025.73110.

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This paper presents an IoT-based remote patient health monitoring system designed using Raspberry Pi 4 Model B. The system integrates MAX30100 (pulse oximeter and heart rate), AD8232 (ECG), and DHT11 (temperature and humidity) sensors to collect vital signs. A 16x2 LCD display is used for real-time visualization. Data is uploaded to ThingSpeak for cloud monitoring, while alerts are triggered using Twilio (SMS) and Mailgun (email). A Random Forest machine learning model is implemented in Python to detect anomalies in patient vitals, enabling early alerts. The project demonstrates a low-cost, sc

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