Results 341 to 350 of about 678,002 (383)

ECG of the Month

Journal of the American Veterinary Medical Association, 2022
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Romito, Giovanni, Pelle, Nazzareno Giuseppe, Cipone, Mario   +2 more
  +9 more sources

LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification

IEEE Transactions on Instrumentation and Measurement, 2020
This paper introduces a novel deep learning-based algorithm that integrates a long short-term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) for electrocardiogram (ECG) arrhythmias classification.
Borui Hou, Jianyong Yang, Pu Wang, Ruqiang Yan   +3 more
semanticscholar   +1 more source

Automatic ECG-Based Emotion Recognition in Music Listening

IEEE Transactions on Affective Computing, 2020
This paper presents an automatic ECG-based emotion recognition algorithm for human emotion recognition. First, we adopt a musical induction method to induce participants’ real emotional states and collect their ECG signals without any deliberate ...
Yu-Liang Hsu, Jeen-Shing Wang, Wei-Chun Chiang, Chien-Han Hung   +3 more
semanticscholar   +1 more source

ECG of the month

British Journal of Cardiac Nursing, 2006
Mark Whitbread presents an ECG for you to analyse. The answer and management plan are given on page 202
openaire   +1 more source

ECG of the month

British Journal of Cardiac Nursing, 2007
Steve Bowbrick presents an ECG for you to analyse. The answer and management plan are given on page 177
openaire   +2 more sources

ECG of the Month

Journal of the American Veterinary Medical Association, 2012
A 10-year-old 17-kg (37-lb) spayed female Italian Spitz was referred to the Veterinary Teaching Hospital of the University of Bologna because of sudden onset of dyspnea (which occurred 24 hours before the referral examination). The referring veterinarian administered prednisone SC without amelioration of the respiratory problem.
BARON TOALDO, MARCO, DIANA, ALESSIA, SGRECCIA, GIORGIA, CIPONE, MARIO   +3 more
openaire   +3 more sources

Electrocardiography: The ECG

Anesthesiology Clinics of North America, 2006
This article examines the role of electrocardiography in patient monitoring during an operative procedure. In addition to providing a wealth of physiological information, including information on the electrical activity of the heart, the ECG assists in monitoring and detecting a variety of changes, such as cardiac arrhythmias, electrolyte changes, and ...
A.D. John, Lee A. Fleisher
openaire   +3 more sources

ResNet‐Attention model for human authentication using ECG signals

Expert Syst. J. Knowl. Eng., 2020
Authentication is the process of verifying the claimed identity of the user. Recently, traditional authentication methods such as passwords, tokens, and so on are no longer used for authentication as they are more prone to theft and different types of ...
M. Hammad, Pawel Plawiak, Kuanquan Wang, U. R. Acharya   +3 more
semanticscholar   +1 more source

Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
In this paper, a novel computationally intelligent-based electrocardiogram (ECG) signal classification methodology using a deep learning (DL) machine is developed.
B. Pourbabaee, M. J. Roshtkhari, K. Khorasani   +2 more
semanticscholar   +1 more source

ECG 10+: Systematisch ECG’s beoordelen

Huisarts en wetenschap, 2016
Konings KTS, Willemsen RTA. ECG 10+: Systematic assessment of ECGs by general practitioners. Huisarts Wet 2016;59(4):166-70. General practitioners need a tool to help them assess and interpret ECGs. The ECG 10+ has proven a useful tool during ECG training for GPs and non-cardiologists and can be used in daily practice.
Robert Willemsen, Karen D. Könings
openaire   +3 more sources