Relevant bibliographies by topics / AD8232 ECG sensor

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Academic literature on the topic 'AD8232 ECG sensor'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "AD8232 ECG sensor"

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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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Book chapters on the topic "AD8232 ECG sensor"

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Esther T., Gracia Nirmala Rani D., Rajaram T., and Moshe Dayan J. E. "IoT-Based Wearable Medical Devices Using FPGA." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5231-8.ch003.

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The development of an IoT-based wearable medical device (WMD) with safety features for the user is underway. It is made up of two modules: a user module and a base station (crew or physicians) module. This wearable device includes a temperature sensor (DHT11), an ECG sensor (AD8232), an EEG sensor (TGAT2), and a collision detection sensor (SW420). Wireless sensor network (WSN) technology is used to communicate the many variables being monitored. The base station module is made up of a personal computer with a cloud connection. The data is updated in real time and transferred to the cloud via a
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Conference papers on the topic "AD8232 ECG sensor"

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Dange, Varsha, Shreyas Ruikar, Sandesh Kadam, Rijul Sidanale, Siddhi Sangwai, and Siddharth Sadake. "Portable ECG Monitoring System Using AD8232 and ESP8266." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882371.

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Prasad, Anitha S., and N. Kavanashree. "ECG Monitoring System Using AD8232 Sensor." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002540.

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Vujičić, Dejan, Dijana Stojić, Đorđe Damnjanović, Dušan Marković, and Siniša Randjić. "ECG Sensor Measurements with Arduino in Biomedicine Education." In 9th International Scientific Conference Technics and Informatics in Education. University of Kragujevac, Faculty of Technical Sciences Čačak, 2022. http://dx.doi.org/10.46793/tie22.148v.

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This paper presents the system for electrocardiogram measurements (ECG) using an Arduino microcontroller and AD8232 ECG sensor. The paper gives the basics of human heart anatomy and electrical activity which is enough for understanding the basic principles of ECG measurements. The hardware and software components are presented, as well as the given results. This system can be effectively used as an ECG measurement device and in biomedicine students’ education.
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Souza da Conceição, Julie, Ingrid Aruana Ribeiro, Victor Sette, Gustavo Carlos da Silva, and Patrícia Marcondes dos Santos. "MONITORAMENTO CARDÍACO EM TEMPO REAL COM SENSOR ECG AD8232 E ESP32." In INIC 2023. Universidade do Vale do Paraíba, 2023. http://dx.doi.org/10.18066/inic0993.23.

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Podaru, Alexandru, and Valeriu David. "A STUDY REGARDING THE ACQUISITION OF PHOTOPLETHYSMOGRAPIC SIGNAL USED IN DETERMINATION OF THE PRV PARAMETERS." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-203.

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In this paper, two areas for collecting the photoplethysmographic signal were studied. The areas of interest we have considered are the index of the left hand and the lobe of the left ear. To record these signals we have created a portable system. To achieve this system we used 3 biological signal detection modules. With this system, three biological signals were recorded, namely, the electrocardiographic signal (ECG) acquired with the help of three electrodes, the PPG signal acquired from the left-hand index and the PPG signal acquired from the ear lobe. For the ECG signal, we used the AD8232
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Ruckman, Sophia, Jigar Bhatt, Jadyn Cook, Peshala Thibbotuwawa Gamage, Bahram Kakavand, and Amirtahà Taebi. "Design, Prototype, and Evaluation of a Low-Cost Multimodal Device for Cardiovascular Monitoring." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112486.

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Abstract Cardiovascular diseases (CVDs) are the leading cause of death in the United States. In most cases, these diseases go undiagnosed and untreated in the general population until the patient’s health is severely affected. Scanning for these diseases is generally done in a clinical setting, something that not everyone takes advantage of. These tests can also be expensive for many, especially in underserved areas. In that regard, the availability of a low-cost monitoring device can help in the early detection and management of cardiovascular diseases, leading to reduced morbidity, mortality
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