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: 25 July 2025

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Journal articles on the topic "ECG"

1

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 (1995): 55. http://dx.doi.org/10.1097/00003465-199501000-00012.

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Davey, Patrick. "ECG." Medicine 34, no. 4 (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 (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 (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 (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, et al. "Immunochemical studies of equine chorionic gonadotropin (eCG), eCG alpha, and eCG beta." Endocrinology 132, no. 1 (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 (2015): 588–94. http://dx.doi.org/10.12968/bjca.2015.10.12.588.

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Zhang, Peng, Mingfeng Jiang, Yang Li, et al. "An efficient ECG denoising method by fusing ECA-Net and CycleGAN." Mathematical Biosciences and Engineering 20, no. 7 (2023): 13415–33. http://dx.doi.org/10.3934/mbe.2023598.

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<abstract> <p>For wearable electrocardiogram (ECG) acquisition, it was easy to infer motion artifices and other noises. In this paper, a novel end-to-end ECG denoising method was proposed, which was implemented by fusing the Efficient Channel Attention (ECA-Net) and the cycle consistent generative adversarial network (CycleGAN) method. The proposed denoising model was optimized by using the ECA-Net method to highlight the key features and introducing a new loss function to further extract the global and local ECG features. The original ECG signal came from the MIT-BIH Arrhythmia Da
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Willis, Ruth. "ECG quiz." BSAVA Companion 2018, no. 2 (2018): 35. http://dx.doi.org/10.22233/20412495.0218.35.

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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 hea
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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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<p>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
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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
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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 sacrif
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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 electrocardio
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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
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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 bro
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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 anestheti
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Books on the topic "ECG"

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

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

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Gertsch, Marc. The ECG. 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. Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470692561.

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Kusumoto, Fred. ECG Interpretation. 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. Williams & Wilkins, 1987.

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

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

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

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Khan, M. I. Gabriel. Rapid ECG interpretation. 3rd ed. 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, et al. "ECG." In Encyclopedia of Behavioral Medicine. 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. 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, et al. "ECG." In Encyclopedia of Intensive Care Medicine. 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. 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. 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. 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. 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. 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. 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. 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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Hendrawan, Muhammad Afif, Noprianto, Maskur, and Sofyan Noor Arief. "Enhancing Biometric Identification Through EEG and ECG Fusion." In 2024 7th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2024. https://doi.org/10.1109/isriti64779.2024.10963629.

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Li, Yiji, Shihao Han, Jingze Ding, et al. "A Wireless ECG Monitoring System Based on 12-Lead ECG Signals." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882847.

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Isler, Joseph R., Nicolo Pini, Maristella Lucchini, et al. "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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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. Iowa State University. Library, 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., 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., 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). Iowa State University. Library, 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. Defense Technical Information Center, 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 att
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Valencia Camacho, Ana María, and Nicolás Hoyos Gallo. Trauma torácico. Facultad de Medicina Universidad de Antioquia, 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, 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, 2023. http://dx.doi.org/10.37766/inplasy2023.10.0081.

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

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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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