Academic literature on the topic 'Electrocardiogram monitoring system'

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Journal articles on the topic "Electrocardiogram monitoring system"

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Wei, Yanli, Ying Zhu, Xin Wen, Qing Rui, and Wei Hu. "Intracavitary Electrocardiogram Guidance Aids Excavation of Rhythm Abnormalities in Patients with Occult Heart Disease." Journal of Healthcare Engineering 2021 (October 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/2230383.

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In this paper, the analysis of intracavitary electrocardiograms is used to guide the mining of abnormal cardiac rhythms in patients with hidden heart disease, and the algorithm is improved to address the data imbalance problem existing in the abnormal electrocardiogram signals, and a weight-based automatic classification algorithm for deep convolutional neural network electrocardiogram signals is proposed. By preprocessing the electrocardiogram data from the MIT-BIH arrhythmia database, the experimental dataset training algorithm model is obtained, and the algorithm model is migrated into the
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Ortiz, Kristine Joyce P., John Peter O. Davalos, Elora S. Eusebio, and Dominic M. Tucay. "IoT: Electrocardiogram (ECG) Monitoring System." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (2018): 480. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp480-489.

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Internet of Things (IoT) has many applications in the medical field. With remote-information gathering, healthcare professionals can evaluate, diagnose and treat patients in remote locations using telecommunications technology. This study aimed to develop a small-scale electrocardiogram (ECG) monitoring device that will measure heart rates and waveforms and send the data in a database and a web server. An ECG acquisition device was developed using a single-lead heart rate monitor sensor and an Arduino microcontroller. A program, which will process, analyze and upload the ECG data is coded usin
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Kristine, Joyce P. Ortiz, Peter O. Davalos John, S. Eusebio Elora, and M. Tucay Dominic. "IoT: Electrocardiogram (ECG) Monitoring System." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (2018): 480–89. https://doi.org/10.11591/ijeecs.v10.i2.pp480-489.

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Internet of Things (IoT) has many applications in the medical field. With remote-information gathering, healthcare professionals can evaluate, diagnose and treat patients in remote locations using telecommunications technology. This study aimed to develop a small-scale electrocardiogram (ECG) monitoring device that will measure heart rates and waveforms and send the data in a database and a web server. An ECG acquisition device was developed using a single-lead heart rate monitor sensor and an Arduino microcontroller. A program, which will process, analyze and upload the ECG data is coded usin
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Dore, Henry, Rodrigo Aviles-Espinosa, Zhenhua Luo, Oana Anton, Heike Rabe, and Elizabeth Rendon-Morales. "Characterisation of Textile Embedded Electrodes for Use in a Neonatal Smart Mattress Electrocardiography System." Sensors 21, no. 3 (2021): 999. http://dx.doi.org/10.3390/s21030999.

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Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during inte
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JIA Da-gong, 贾大功, 赵. 静. ZHAO Jing, 张红霞 ZHANG Hong-xia, et al. "Anti-electromagnetic interference electrocardiogram monitoring system." Optics and Precision Engineering 26, no. 5 (2018): 1165–74. http://dx.doi.org/10.3788/ope.20182605.1165.

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Li, Ning, Yingjiu Liu, Guangchao Zhang, et al. "Design of Portable Wireless Electrocardiogram Monitoring System." Journal of Physics: Conference Series 1438 (January 2020): 012009. http://dx.doi.org/10.1088/1742-6596/1438/1/012009.

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Wei, YiRan, Zhenbin Liu, Tao Wu, et al. "Wearable underwater vital signs monitoring system." Journal of Physics: Conference Series 3007, no. 1 (2025): 012034. https://doi.org/10.1088/1742-6596/3007/1/012034.

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Abstract We have designed a monitoring system for vital signs that operates normally at depths of up to 300 meters. The system incorporates multiple sensors for measuring physiological parameters including blood oxygen saturation, heart rate, electrocardiogram signals, and body temperature. Utilizing a wearable, integrated design, it transmits data in real-time to a wrist display terminal and a surface computer for monitoring by divers and surface personnel. The collected photoplethysmography (PPG) and electrocardiogram (ECG) signals are filtered. The heart rate error calculated using PPG sign
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Oslopov, V. N., A. R. Sadykova, and T. S. Fedoseeva. "Limitations of automated computer electrocardiogram analysis." Kazan medical journal 93, no. 4 (2012): 687–91. http://dx.doi.org/10.17816/kmj1574.

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Aim. To draw the attention of physicians to the need for careful analysis of electrocardiograms, especially those obtained by using an automatic analyzer, with the obligatory account of the clinical picture of the disease. Methods. Normal electrocardiography, electrocardiography with the usage of a diagnostic system «Valenta», echocardiography, clinical examination of a patient with fibrosing alveolitis. Results. In the patient with fibrosing alveolitis the automatic analyzer of electrocardiograms «Valenta» misinterpreted the 3S-type of the electrocardiogram as a left anterior fascicular bundl
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Goh, Voon Hueh, Muhammad Akmal Ayob, Nurul Izzati Darul Zaman, and Yuan Wen Hau. "Mobile Electrocardiogram Monitoring System with Cloud-Based Approach." Journal of Human Centered Technology 1, no. 2 (2022): 105–15. http://dx.doi.org/10.11113/humentech.v1n2.30.

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Cardiovascular disease (CVD) is a heart related disease and is the top silent killer in worldwide. Frequent electrocardiogram (ECG) monitoring for patients with CVD is vital to check if arrhythmia occurs. Though there are lots of commercialized portable ECG monitoring device available, many of them are dedicated to professional clinical staff with complex user interface, or only targeted to specific arrhythmia for home monitoring with lack of data management system. In this study, an in-house developed ECG monitoring device was integrated with an Android-based mobile application through Blueto
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Goh, Voon Hueh, Muhammad Akmal Ayob, Nurul Izzati Darul Zaman, and Yuan Wen Hau. "Mobile Electrocardiogram Monitoring System with Cloud-Based Approach." Journal of Human Centered Technology 1, no. 2 (2022): 105–15. http://dx.doi.org/10.11113/humentech.v1n2.30.

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Cardiovascular disease (CVD) is a heart related disease and is the top silent killer in worldwide. Frequent electrocardiogram (ECG) monitoring for patients with CVD is vital to check if arrhythmia occurs. Though there are lots of commercialized portable ECG monitoring device available, many of them are dedicated to professional clinical staff with complex user interface, or only targeted to specific arrhythmia for home monitoring with lack of data management system. In this study, an in-house developed ECG monitoring device was integrated with an Android-based mobile application through Blueto
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Dissertations / Theses on the topic "Electrocardiogram monitoring system"

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Celik, Numan. "Wireless graphene-based electrocardiogram (ECG) sensor including multiple physiological measurement system." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15698.

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In this thesis, a novel graphene (GN) based electrocardiogram (ECG) sensor is designed, constructed and tested to validate the concept of coating GN, which is a highly electrically conductive material, on Ag substrates of conventional electrodes. The background theory, design, experiments and results for the proposed GN-based ECG sensor are also presented. Due to the attractive electrical and physical characteristics of graphene, a new ECG sensor was investigated by coating GN onto itself. The main focus of this project was to examine the effect of GN on ECG monitoring and to compare its perfo
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Xu, Linlin. "Wireless Hybrid Bio-Sensing withMobile based Monitoring System." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143211.

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Personal telehealth plays a crucial role in addressing global challenges of aging population and rising cost for health care. Tiny and wirelessly connected medical sensors, for example embedded in clothes or on the body, will be an integrated part of lifestyle, and will allow hospitals to remotely diagnose patients in their home.  In this thesis, a wireless bio-sensing with smart phone based monitoring system is proposed to provide a home based telehealth care for continuous monitoring. The system consists of two main parts: a wireless sensor and a health application on the smart phone. This t
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Chaimanonart, Nattapon. "Adaptively Radio Frequency Powered Implantable Multi-Channel Bio-Sensing Microsystem for Untethered Laboratory Animal Real-Time Monitoring." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1247265060.

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Thesis (Ph.D.)--Case Western Reserve University, 2009<br>Title from PDF (viewed on 19 August 2009) Department of Electrical Engineering and Computer Science Includes abstract Includes bibliographical references Available online via the OhioLINK ETD Center
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Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.

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The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human team
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Dai, Yu-Jhih, and 戴育志. "An Intelligent Electrocardiogram Remote Monitoring System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/59438267610304224186.

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碩士<br>國立中央大學<br>電機工程研究所<br>98<br>According to statistical report from Department of Health in Taiwan , heart disease has been ranked as the 2nd leading cause of death. Cardiac arrest in out-of-hospital patients usually causes a worse survival rate (2-8%) due to its unpredictability and inappropriate first aid. Furthermore, studies have shown that rescuers often make a mistake when checking the carotid pulse in an emergency, whether they are healthcare professionals or lay persons.Therefore, a personal-care system for real-time ECG monitori
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Malindi, Phumzile. "Electrocardiogram, heart rate and temperature monitoring system." Thesis, 2000. http://hdl.handle.net/10321/1812.

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Dissertation submitted in compliance with the requirements for Masters Degree in Technology in the Department of Electrical Engineering, Technikon Natal, 2000.<br>The purpose of this study is the development of an affordable computer-based electrocardiogram, heart rate and temperature monitoring system, that would complement those that are available on the market and contribute to the reduction of the shortage of these medical instruments in South African hospitals and clinics. Electrocardiogram (ECG) refers to the graph that results from time versus voltage in a patient's chest. It refle
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Huang, Ying-Chi, and 黃盈綺. "REALIZATION OF LAPLACIAN FETAL ELECTROCARDIOGRAM MONITORING SYSTEM." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/58206003839314589405.

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碩士<br>中原大學<br>生物醫學工程研究所<br>104<br>The fetal electrocardiogram (FECG) can be used to evaluate the growth and development of fetal. Thus, it is very important to measure the FECG during pregnancy. Although, using non-invasive method to acquire signals from the abdomen of pregnant women is convenient. However, the fetal signal is relatively small and contains more noises. Additionally, it is more difficult to process the signal. This study developed an electrode system using Laplacian electrode to acquire the FECG signal. This electrode is made from conductive fabric. This enlarged Laplacian e
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Wang, Yu-De, and 王有德. "A SMS-based Mobile Electrocardiogram Monitoring System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/68587286237222096086.

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碩士<br>國立交通大學<br>生醫工程研究所<br>97<br>According to the report of Department of Health, Executive Yuan, Taiwan in 2008, in the ten leading causes of death in Taiwan, Malignant neoplasm (28.9%) and heart disease (9.3 %) ranked second and third respectively. Some of theses lives can often be saved if prompt emergency care and cardiac surgery are provided within golden hour. Thus, patients with a risk of sudden heart failure need to monitor their cardiac health frequently whether they are indoors or outdoors, so that emergency treatment can be given if problems arise. In this study, a short message ser
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LIAO, KUO-CHUAN, and 廖國銓. "Differential Electrocardiogram-based Physiological Signals Monitoring System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fj6wrw.

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He, Ke-Yi, and 何科儀. "Design of wearable 12-lead electrocardiogram monitoring system." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7q3r57.

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Book chapters on the topic "Electrocardiogram monitoring system"

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Muñoz-Ramos, O., O. Starostenko, V. Alarcon-Aquino, and C. Cruz-Perez. "Real-Time System for Monitoring and Analyzing Electrocardiogram on Cell Phone." In Lecture Notes in Electrical Engineering. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3535-8_28.

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Cu, Huy, Tuan Nguyen, Tam Nguyen, Trung Le, and Toi Vo Van. "Validation of Wireless Wearable Electrocardiogram System for Real-Time Ambulatory Cardiac Monitoring." In 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4361-1_131.

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Kasahara, Yasuyo. "Nurses’ Perception and Cognition of Electrocardiogram Monitoring Alarms." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96098-2_89.

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Bharadwaj, Yashas, Shubham Yadav, Apeksha Murdeshwar, et al. "Design and Analysis of Electrocardiogram Heart Rate Variability Monitoring Systems." In Proceedings of Second International Conference on Computational Electronics for Wireless Communications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6661-3_29.

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Nouira, Ibtihel, and Mohamed Hadj Said. "Smart ECG Monitoring Through IoT." In Advances in Healthcare Information Systems and Administration. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0261-7.ch010.

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The emergence of internet of things allows the integration of health systems by enabling real-time monitoring with a low cost. Therefore, one of the essential targets in this work is the realization of a new smart real-time electrocardiogram remote monitoring system based on cloud networks. This health wireless system allows the acquisition of electrocardiogram signal with the temperature and acceleration measurement of the patient's body using the inertial measurement unit module sensor. A strong access schemes is employed to transfer the data from sensors to cloud environment by keeping the
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Maji, Uday, Rohan Mandal, Saurav Bhattacharya, and Shalini Priya. "An IoT-Based Remote Health Monitoring System for Smart Healthcare." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2584-5.ch014.

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Many automated health monitoring devices detect health abnormalities based on gleaned data. One of the effective approaches of monitoring a senior cardiac patient is the analysis of an Electrocardiogram (ECG) signal, as proven by various studies and applications. However, diagnosis results must be communicated to an expert. An intelligent and effective technology gaining wide popularity known as ‘internet of things' or ‘IoT' allows remote monitoring of the patient.
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Maji, Uday, Rohan Mandal, Saurav Bhattacharya, and Shalini Priya. "An IoT-Based Remote Health Monitoring System for Smart Healthcare." In Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8052-3.ch024.

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Many automated health monitoring devices detect health abnormalities based on gleaned data. One of the effective approaches of monitoring a senior cardiac patient is the analysis of an Electrocardiogram (ECG) signal, as proven by various studies and applications. However, diagnosis results must be communicated to an expert. An intelligent and effective technology gaining wide popularity known as ‘internet of things' or ‘IoT' allows remote monitoring of the patient.
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Singh, Harinderjit, and Dilip Kumar. "Non-Invasive Cuffless Blood Pressure Monitoring System." In Computational Tools and Techniques for Biomedical Signal Processing. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0660-7.ch008.

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These days most of the Blood Pressure (BP) measuring devices are having inflatable cuff that is needed to be occluded on the patient's arm for measuring blood pressure. This technique is not suitable in cases where continuous measurement of BP is required. Therefore, this work is aimed at designing of non-invasive and continuously monitors the blood pressure by using Pulse Transit Time (PTT) technique. For taking out PTT both of the signals are extracted from the body of the patient with the help of bio sensors i.e. Electrocardiogram (ECG) sensor and Photoplethysmogram (PPG) sensor. PTT was me
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Singh, Butta, Manjit Singh, and Dixit Sharma. "Chaotic Function Based ECG Encryption System." In Handbook of Research on Healthcare Administration and Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0920-2.ch013.

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Remote health-care monitoring systems communicate biomedical information (e.g. Electrocardiogram (ECG)) over insecure networks. Protection of the integrity, authentication and confidentiality of the medical data is a challenging issue. This chapter proposed an encryption process having a 4-round five steps -encryption structure includes: the random pixel insertion, row separation, substitution of each separated row, row combination and rotation. Accuracy and security analysis of proposed method for 2D ECG encryption is evaluated on MIT-BIH arrhythmia database.
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Singh, Butta, Manjit Singh, and Dixit Sharma. "Chaotic Function Based ECG Encryption System." In Cryptography. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1763-5.ch002.

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Remote health-care monitoring systems communicate biomedical information (e.g. Electrocardiogram (ECG)) over insecure networks. Protection of the integrity, authentication and confidentiality of the medical data is a challenging issue. This chapter proposed an encryption process having a 4-round five steps -encryption structure includes: the random pixel insertion, row separation, substitution of each separated row, row combination and rotation. Accuracy and security analysis of proposed method for 2D ECG encryption is evaluated on MIT-BIH arrhythmia database.
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Conference papers on the topic "Electrocardiogram monitoring system"

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Adochiei, Felix-Constantin, David-Andrei Dumitrescu, George Calin Seritan, Florin Ciprian Argatu, Bogdan-Adrian Enache, and Ioana Raluca Adochiei. "IoT-Based Real-Time Electrocardiogram Monitoring and Recording System." In 2024 E-Health and Bioengineering Conference (EHB). IEEE, 2024. https://doi.org/10.1109/ehb64556.2024.10805722.

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Shen, Zhijie, Chunxiang Zhu, Kun Zhou, and Zaoqi Cao. "Medical Robot-Assisted Electrocardiogram Real-Time Monitoring and Arrhythmia Diagnosis System." In 2024 3rd International Conference on Service Robotics (ICoSR). IEEE, 2024. https://doi.org/10.1109/icosr63848.2024.00053.

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Ali, Sundus, Muhammad Imran Aslam, Zaryab Ahmed Khan, Asma Khalid, Arhamna Ayub Khan, and Hania Ali Shaikh. "ML-Enhanced IoMT-based Electrocardiogram Monitoring System for Patient-Centric Solution." In 2024 26th International Multitopic Conference (INMIC). IEEE, 2024. https://doi.org/10.1109/inmic64792.2024.11004334.

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Pramudita, Brahmantya Aji, Ryan Azmi Zuhdi Damanik, Muhammad Hablul Barri, Desri Kristina Silalahi, and Diah Rahayu Ningtias. "Real Time Electrocardiogram Monitoring Device to Detect Arrhythmia Using Arduino." In 2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS). IEEE, 2024. http://dx.doi.org/10.1109/i2cacis61270.2024.10649830.

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Lim, Seung Jae, Pradhan Gagan Bahadur, Moon Seong Jo, and Jae Yeong Park. "A fractal patterned and MXene@NPC incorporated graphene-electrodes-based patch sensor for long-term and continuous electrocardiogram remote monitoring." In Health Monitoring of Structural and Biological Systems XIX, edited by Zhongqing Su. SPIE, 2025. https://doi.org/10.1117/12.3052504.

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M, Saritha, and Thiruvalar Selvan P. "Monitoring Heart Rate Variability and Forecasting Heart Diseases in Electrocardiogram using Supervised Learning Algorithm." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934615.

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Rajbhoj, S. M., and Soniya F. Lakudzode. "Human stress monitoring system using electrocardiogram." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7823216.

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Dolatabadi, Elham, and Serguei Primak. "Ubiquitous WBAN-based Electrocardiogram monitoring system." In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services (Healthcom 2011). IEEE, 2011. http://dx.doi.org/10.1109/health.2011.6026724.

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Gonzales, Laura, Katherine Walker, Kevin Keller, et al. "Textile sensor system for electrocardiogram monitoring." In 2015 IEEE Virtual Conference on Applications of Commercial Sensors (VCACS). IEEE, 2015. http://dx.doi.org/10.1109/vcacs.2015.7439568.

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Lichtman, Alek, Richard Uzsak, Miroslav Svetlak, and Peter Fuchs. "A Smart Electrocardiogram Monitoring System on Android." In International Conference on New Trends in Signal Processing (NTSP). IEEE, 2018. http://dx.doi.org/10.23919/ntsp.2018.8524075.

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