Relevant bibliographies by topics / ECG

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ECG'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 March 2025

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Journal articles on the topic "ECG"

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Rudy, Yoram. "Noninvasive ECG Imaging (ECGI) of Cardiac Arrhythmias." Journal of Arrhythmia 27, Supplement (2011): SS4_3. http://dx.doi.org/10.4020/jhrs.27.ss4_3.

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n, Lipma, and Casci a. "ECG." Dimensions Of Critical Care Nursing 14, no. 1 (January 1995): 55. http://dx.doi.org/10.1097/00003465-199501000-00012.

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Davey, Patrick. "ECG." Medicine 34, no. 4 (April 2006): 128–35. http://dx.doi.org/10.1383/medc.2006.34.4.128.

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Davey, Patrick. "ECG." Medicine 38, no. 7 (July 2010): 348–56. http://dx.doi.org/10.1016/j.mpmed.2010.04.004.

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Davey, Patrick. "ECG." Medicine 42, no. 8 (August 2014): 423–32. http://dx.doi.org/10.1016/j.mpmed.2014.05.011.

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Davey, Patrick. "ECG." Foundation Years 3, no. 1 (February 2007): 39–47. http://dx.doi.org/10.1016/j.mpfou.2006.11.010.

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Couture, L., J. P. Lemonnier, F. Troalen, J. F. Roser, G. R. Bousfield, D. Bellet, and J. M. Bidart. "Immunochemical studies of equine chorionic gonadotropin (eCG), eCG alpha, and eCG beta." Endocrinology 132, no. 1 (January 1993): 205–11. http://dx.doi.org/10.1210/endo.132.1.7678214.

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Sampson, Michael, and Anthony McGrath. "Understanding the ECG Part 2: ECG basics." British Journal of Cardiac Nursing 10, no. 12 (December 2, 2015): 588–94. http://dx.doi.org/10.12968/bjca.2015.10.12.588.

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Willis, Ruth. "ECG quiz." BSAVA Companion 2018, no. 2 (February 1, 2018): 35. http://dx.doi.org/10.22233/20412495.0218.35.

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Willis, Ruth. "ECG quiz." BSAVA Companion 2019, Suppl_9 (September 1, 2019): 31. http://dx.doi.org/10.22233/20412495.090119.31.

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Dissertations / Theses on the topic "ECG"

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Albaba, Adnan. "MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING : MODEL-BASED ECG ANALYSIS:TOWARDS PATIENT-SPECIFIC WEARABLE ECG MONITORING." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409069.

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In this thesis, model-based analysis approach is considered as a possible solution towards a patient-specific point-of-care device for the purpose of electrocardiogram monitoring. Two novel methods are proposed, tested, and quantitatively evaluated. First, a method for estimating the instantaneous heart rate using the morphologicalfeatures of one electrocardiogram beat at a time is proposed. This work is not aimed at introducing an alternative way for heart rate estimation, but rather illustrates the utility of model-basedelectrocardiogram analysis in online individualized monitoring ofthe heart function. The heart rate estimation problem is reduced to fitting one parameter, whose value is related to the nine parameters of a realistic nonlinear model of the electrocardiogram and estimated from data by nonlinear least-squares optimization. The method feasibility is evaluated on synthetic electrocardiogram signals as well as signals acquired from MIT-BIH databases at Physionet website. Moreover, the performance of the method was tested under realistic free-moving conditions using a wearable electrocardiogram and heart monitor with encouraging results. Second, a model-based method for patient-specific detection of deformed electrocardiogram beats is proposed. Five parameters of a patient-specific nonlinear electrocardiogram model are estimated from data by nonlinear least-squares optimization. The normal variability of the model parameters is captured by estimated probability density functions. A binary classifier, based on stochastic anomaly detection methods, along with a pre-tuned classification threshold, is employed for detecting the abnormal electrocardiogram beats. The utility of the proposed approach is tested by validating it on annotated arrhythmia data recorded underclinical conditions.
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mediavilla, pons emiliano elias. "Wireless ECG." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-8446.

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This document contains the development of an amplifier for an ECG-signal and interfacing it to wireless communication. The purpose of this project is to get a clear ECG-signal without any noise, save it and send it through wireless communication.A challenge of the wireless communication unit is to send as little information as possible to make the communication faster, without loss of information in the ECG-signal.The context for this project is the integration of wireless communication in medical applications for home healthcare. This means that, patients are no longer bound to a specific healthcare location where they are monitored by medical instruments. Wireless communication will not only provide them with safe and accurate monitoring, but also the freedom of movement.

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Balli, Tugce. "Nonlinear analysis methods for modelling of EEG and ECG signals." Thesis, University of Essex, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528852.

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Michalek, Paul. "AN AUTHENTIC ECG SIMULATOR." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2500.

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An ECG (electrocardiogram) simulator is an electronic tool that plays an essential role in the testing, design, and development of ECG monitors and other ECG equipment. Principally an ECG simulator provides ECG monitors with an electrical signal that emulates the human heart's electrical signal so that the monitor can be tested for reliability and important diagnostic capabilities. However, the current portable commercially available ECG simulators are lacking in their ability to fully test ECG monitors. Specifically, the portable simulators presently on the market do not produce authentic ECG signals but rather they endeavor to create the ECG signals mathematically. They even attempt to mathematically create arrhythmias (irregular heartbeats of which there are many different types). Arrhythmia detection is an important capability for any modern ECG monitor because arrhythmias are often the critical link to the diagnosis of heart conditions or cardiovascular disease. The focus of this thesis is the design and implementation of a portable ECG simulator. The important innovation of this prototype simulator is that it will not create its ECG signals mathematically, but rather it will store ECG data files on a memory module and use this data to produce an authentic ECG signal. The data files will consist of different types of ECG signals including different types of arrhythmias. The data files are obtained via the internet and require formatting and storing onto a memory chip. These files are then processed by a digital to analog converter and output on a four lead network to produce an authentic ECG signal. The system is built around the ultra-low power Texas Instruments MSP430 microcontroller.
M.S.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering
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Soski, Daniel Aaron. "Extended-Use ECG Monitor." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1875.

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In this thesis, a prototype ECG monitor was developed that is integrated into an elastic shirt and takes a 3-lead ECG for over 5 days. The high-quality measurements can be used to identify markers indicative of various detrimental heart conditions. Measurements recorded by the device are encrypted and stored onto a micro-SD card. Current Holter monitors are expensive and have functional lives less than 48 hours; however, extended duration monitoring has been proven more useful in diagnosis. The device designed demonstrates that ECG measurements can be taken over longer durations without sacrificing quality, comfort, or device cost.
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Arteaga, Falconi Juan Sebastian. "ECG Authentication for Mobile Device." Thesis, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30221.

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Mobile devices users are storing more and more private and often highly sensitive information on their mobiles. Protective measures to ensure that users of mobile devices are appropriately safeguarded are thus imperative to protect users. Traditional mobile login methods, like numerical or graphical passwords, are vulnerable to passive attacks. It is common for criminal s to gain access to victims' personal information by watching victims enter their passwords into their cellphone screens from a short distance away. With this in mind, a Biometric authentication algorithm based on electrocardiogram or ECG is proposed. In this system the user will only need to touch the ECG electrodes of the mobile device to gain access. With this authentication mode no one will be able to see the biometric pattern that is used to unlock the de vices. This will increase the protection for the users. The algorithm was tested with ten subjects from MCRlab at the University of Ottawa at different days and conditions using a two electrode ECG phone case. Several tests were performed in order to reach the best setting for the algorithm to work properly. The final results show that the system has a 1.41% of chance to accept false users and 81.82% of accepting the right users. The algorithm was also tested with 73 subjects from Physionet database and the results were around the same, which confirms the consistency of the algorithm. This is the first approach on mobile authentication using ECG biometric signals and shows a promising future for this technology to be used in mobiles.
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Huang, Xiabing. "Ambulatory ECG mapping (ST-segment)." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335035.

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Alam, M. (Md ). "Automatic ECG signal quality assessment." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906052442.

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Abstract. The quality assessment of signal has been a research topic for many years, as it is mainly related to the problem of the false alarms. Automatic quality detection/assessment and classification of signals can play a vital role in the development of robust unsupervised electrocardiogram (ECG). The development of efficient algorithms for the quality control of ECG recordings is essential to improve healthcare now. ECG signal can be intermixed with many kinds of unwanted noises. It is an important task to assess the quality of the ECG signal for further biomedical inspections. To make that happen, we made an algorithm that is efficient and uses some basic quality features to classify the ECG signals. It is a very effective way to acquire a good quality ECG signal in real-time by unskilled personnel for instance in rural areas there is not enough expertise in this field. By using this method, they can quickly know if the ECG signal is acceptable or unacceptable for further inspections. The method is used to assess the quality of the ECG signals in the training set of the Physionet/Computing in Cardiology Challenge 2011, giving a correct interpretation of the quality of the ECG signals of 93.08% which corresponded to a sensitivity of 96.53% and a specificity of 86.76%.
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Chen, Tsai Yuan. "Network Electrophysiology Sensor-On-A- Chip." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/389.

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" Electroencephalogram (EEG), Electrocardiogram (ECG), and Electromyogram (EMG) bio-potential signals are commonly recorded in clinical practice. Typically, patients are connected to a bulky and mains-powered instrument, which reduces their mobility and creates discomfort. This limits the acquisition time, prevents the continuous monitoring of patients, and can affect the diagnosis of illness. Therefore, there is a great demand for low-power, small-size, and ambulatory bio-potential signal acquisition systems. Recent work on instrumentation amplifier design for bio-potential signals can be broadly classified as using one or both of two popular techniques: In the first, an AC-coupled signal path with a MOS-Bipolar pseudo resistor is used to obtain a low-frequency cutoff that passes the signal of interest while rejecting large dc offsets. In the second, a chopper stabilization technique is designed to reduce 1/f noise at low frequencies. However, both of these existing techniques lack control of low-frequency cutoff. This thesis presents the design of a mixed- signal integrated circuit (IC) prototype to provide complete, programmable analog signal conditioning and analog-to-digital conversion of an electrophysiologic signal. A front-end amplifier is designed with low input referred noise of 1 uVrms, and common mode rejection ratio 102 dB. A novel second order sigma-delta analog- to-digital converter (ADC) with a feedback integrator from the sigma-delta output is presented to program the low-frequency cutoff, and to enable wide input common mode range of ¡Ãƒâ€œ0.3 V. The overall system is implemented in Jazz Semiconductor 0.18 um CMOS technology with power consumption 5.8 mW from ¡Ãƒâ€œ0.9V power supplies. "
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Saulnier, Diane Christine. "Imaging of the Canine Heart Using Non ECG-Gated and ECG-Gated 64 Multidetector Computed Tomography." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34046.

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ECG-gated multidetector computed tomography (MDCT) is an imaging modality widely utilized for the evaluation of cardiac pathology by physicians. However, there has been little research of cardiac MDCT imaging in veterinary patients. Presently, ECG-gating is an upgrade for MDCT, which few veterinary institutions currently possess. The purpose of this study was to compare image quality between a 16 non ECG-gated and 64 ECG-gated MDCT for clinically important cardiac anatomy in dogs. In a crossover trial, six dogs were scanned using 16 non ECG-gated and 64 ECG-gated MDCT. A standardized anesthetic protocol, designed to induce bradycardia (mean HR 45 bpm ± 12.6) was used. Five post-contrast sequential scans through the heart were performed for each patient when utilizing the 16 non ECG-gated MDCT, in attempt to obtain a motion free series of images of the heart. For each scan, assessment of cardiac morphology was performed by evaluating a group of 21 cardiac structures, using a 3-point scale. Each of the images were scored as 0 (motion present, scan non-diagnostic), 1 (motion present, scan diagnostic), and 2 (no motion, therefore diagnostic scan of high quality). Quality scores (QS) from all scans within a dog (30 scans total) were assigned for each cardiac structure. QS from the six ECG-gated MDCT scans were of high diagnostic quality, generating diagnostic images for all of the 21 cardiac structures evaluated for each of the 6 scans. Individual non ECG-gated scans were of variable quality, primarily generating QS of 1 or 2. A complete set of diagnostic images for all 21 structures was not achieved from an individual scan. Minimum number of non ECG-gated scans to identify a single structure was calculated, and ranged from 1-2 scans for all structures. Cumulative number of sequential non ECG-gated scans needed to achieve images of all cardiac structures was calculated and determined to be 5. A 16 non ECG-gated MDCT scanner can produce cardiac images that are similar in quality, to those of 64 ECG-gated MDCT. Cardiac motion negatively impacts image quality in studies acquired without ECG-gating. However, this can be overcome by performing multiple sequential scans through the heart.
Master of Science
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Books on the topic "ECG"

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Agency, Medical Devices, ed. ECG recorder: NIHON KHODEN ECG-9130K. London: Medical Devices Agency, 2000.

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Adamec, Jan, and Richard Adamec. ECG Holter. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78187-7.

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Gertsch, Marc. The ECG. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10315-9.

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Abedin, Zainul, and Robert Conner, eds. ECG Interpretation. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470692561.

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Kusumoto, Fred. ECG Interpretation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40341-6.

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Marriott, Henry J. L. ECG/PDQ. Baltimore: Williams & Wilkins, 1987.

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Marriott, Henry J. L. ECG PDQ. Baltimore, US: Williams & Wilkins, 1987.

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J, Kelly William, ed. ECG interpretation. Springhouse, Pa: Springhouse Corp, 1990.

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Hampton, John R. 150 ECG problems. 3rd ed. Edinburgh: Churchill Livingstone, 2008.

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Khan, M. I. Gabriel. Rapid ECG interpretation. 3rd ed. Totowa, N.J: Humana Press, 2008.

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Book chapters on the topic "ECG"

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, Ding Ding, C. Renn Upchurch Sweeney, Colin D. Butler, Colin L. Soskolne, et al. "ECG." In Encyclopedia of Behavioral Medicine, 643. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100527.

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Nicolescu, Teodora. "ECG." In Data Interpretation in Anesthesia, 13–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_3.

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Cooley, Laura A., Daniel G. Bausch, Marija Stojkovic, Waldemar Hosch, Thomas Junghanss, Marija Stojkovic, Waldemar Hosch, et al. "ECG." In Encyclopedia of Intensive Care Medicine, 789. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_1505.

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Gupta, Rajarshi, Madhuchhanda Mitra, and Jitendranath Bera. "ECG Transmission." In ECG Acquisition and Automated Remote Processing, 73–94. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1557-8_4.

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Gupta, Rajarshi, Madhuchhanda Mitra, and Jitendranath Bera. "ECG Compression." In ECG Acquisition and Automated Remote Processing, 95–124. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1557-8_5.

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Kosik, Edward. "ECG I." In Data Interpretation in Anesthesia, 89–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_17.

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Kosik, Edward. "ECG II." In Data Interpretation in Anesthesia, 95–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_18.

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Shah, Tanmay. "ECG III." In Data Interpretation in Anesthesia, 101–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_19.

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Govindaraj, Ranganathan, and Talla A. Rousan. "ECG IV." In Data Interpretation in Anesthesia, 105–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_20.

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Rupasinghe, Madhumani. "ECG V." In Data Interpretation in Anesthesia, 111–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55862-2_21.

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Conference papers on the topic "ECG"

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Li, Yiji, Shihao Han, Jingze Ding, Zijian Zhou, Wenyao Li, Lifeng Lin, Shiliang Huang, and Bingli Jiao. "A Wireless ECG Monitoring System Based on 12-Lead ECG Signals." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), 1–4. IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882847.

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Isler, Joseph R., Nicolo Pini, Maristella Lucchini, Lauren C. Shuffrey, Mai Mitsuyama, Martha G. Welch, William P. Fifer, Raymond I. Stark, and Michael M. Myers. "A Novel Method for ECG Artifact Removal from EEG without Simultaneous ECG." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871252.

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Lux. "Advances In Ecg And Eeg Mapping." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.590388.

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Lux, Robert L. "Advances in ECG and EEG mapping." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5762134.

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Wang, Peng, Xi Huang, and Li Cui. "IR-ECG: Invertible Reconstruction of ECG." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10094611.

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Yaacob, Sazali, Nur Afrina Izzati Affandi, Pranesh Krishnan, Amir Rasyadan, Muhyi Yaakop, and Firdaus Mohamed. "Drowsiness detection using EEG and ECG signals." In 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE, 2020. http://dx.doi.org/10.1109/iicaiet49801.2020.9257867.

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Martins, Raul Carneiro, Diogo Primor, and Teresa Paiva. "High-performance groundless EEG/ECG capacitive electrodes." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA 2011). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966749.

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"Session MP7b: ECG and EEG signal processing." In 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015. http://dx.doi.org/10.1109/acssc.2015.7421201.

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Serdengecti, Cigdem, Mehmet Engin, Erkan Zeki Engin, and Soner Balci. "Extraction of fetal ECG from maternal ECG." In 2009 14th National Biomedical Engineering Meeting. IEEE, 2009. http://dx.doi.org/10.1109/biyomut.2009.5130355.

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Karayalcin, Serkan, Mehmet Yuksekkaya, and Serian Yazgi. "ECG simulator." In 2010 15th National Biomedical Engineering Meeting (BIYOMUT 2010). IEEE, 2010. http://dx.doi.org/10.1109/biyomut.2010.5479801.

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Reports on the topic "ECG"

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Lai, Ching I., Lynn M. Boorady, and Shu Hwa Lin. Fire Fighter Safety: ECG Monitoring via Apparel. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8462.

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V. Nguyen, Cuong, and Cuong D. Do. Transfer Learning in ECG Diagnosis: Is It Effective? ResearchHub Technologies, Inc., December 2024. https://doi.org/10.55277/researchhub.0t7mc9m1.

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V. Nguyen, Cuong, and Cuong D. Do. Transfer Learning in ECG Diagnosis: Is It Effective? ResearchHub Technologies, Inc., January 2025. https://doi.org/10.55277/researchhub.0t7mc9m1.1.

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Lai, Ching I., Lynn M. Boorady, and Shu Hwa Lin. ECG Monitoring via Apparel for Female Firefighter�s Safety (III). Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8464.

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Kanjilal, Partha P., Candace B. Matthew, Reed W. Hoyt, and Richard R. Gonzalez. Relationships of the Cardiac Signal and Heat Acclimated State: Spectral Profiles from ECG Analysis. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada392102.

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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test attentional states (attentive vs. distracted), memory retention (multiple-choice questions), learning scenarios (incidental vs. intentional), and an intervention (monetary incentive). Demographic data, ADHD self-report (ASRS), and working memory assessments (digit span) were collected. Basic statistics and noteworthy effects: increased alpha power in a distracted condition, broadband EEG power increases from posterior to anterior scalp, increased blink-rate, and decreased saccade-rate in distracted and intervention conditions. All modalities are time-aligned with stimuli and standardized using BIDS, making the dataset valuable for researchers investigating attention, memory, and learning in naturalistic settings.
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Valencia Camacho, Ana María, and Nicolás Hoyos Gallo. Trauma torácico. Facultad de Medicina Universidad de Antioquia, March 2024. http://dx.doi.org/10.59473/medudea.pc.2023.71.

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El caso clínico presentado a continuación fue extraído de un reporte de caso. Un hombre de 28 años es golpeado por un automóvil mientras montaba bicicleta, los paramédicos lo encuentran con signos vitales e inconsciente (Escala de coma de Glasgow [ECG] 6/15). Es trasladado inmediatamente a un centro hospitalario, donde es intubado y se auscultan ruidos respiratorios bilateralmente.
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Ezinne, Nwosu, Ibeneme Samuel, Irem Franklin, and Nnamdi Nwosu. The effect of physical exercise on ECG and quality of life of people living with type 2 diabetes. A systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0016.

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Shi, Zheng, Bo Yan, and Haitao Sun. Diagnostic accuracy of single-lead ECG device in detecting atrial fibrillation in adults in the community: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2023. http://dx.doi.org/10.37766/inplasy2023.10.0081.

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10

Aquino, Sixto, and Jose Claudio Linhares Pires. First Independent Evaluation of the Expanded Project Supervision Report Exercise. Inter-American Development Bank, August 2007. http://dx.doi.org/10.18235/0010615.

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Abstract:
This document evaluates the first exercise of the Expanded Project Supervision Reports (XPSR) elaborated by PRI in 2006. The XPSR exercise was done in order to comply with the Good Practice Standards (GPS) of the Evaluation Cooperation Group of the Multilateral Development Banks (ECG-MDB). This document also reports on OVE's validation of the project performance ratings, findings and lessons learned that were identified in the XPSR exercise conducted by PRI.This report presents the main findings and conclusions from the evaluation exercise.
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