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Showing 1 to 20 of 333 for “"ecg"”.

  1. An Authentic Ecg Simulator

    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 …

    ucf

  2. Extended-Use ECG Monitor

    <p>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 …

    calpoly Repository record for Extended-Use ECG Monitor (opens in a new tab)

  3. Video-analysis inference automated ECG (VID-ECG): improving video-based heart rate detection and exposing security risks of ECG-based biometric authentication

    … methods using heart signals in the form of ECG and its components have been proposed to be used as a unique security key for body area networks (BANs) to authenticate individuals and protect privacy and network security. In this thesis we show how compo- nents of information on cardiac …

    uiuc Repository record for Video-analysis inference automated ECG (VID-ECG): improving video-based heart rate detection and exposing security risks of ECG-based biometric authentication (opens in a new tab)

  4. Imaging of the Canine Heart Using Non ECG-Gated and ECG-Gated 64 Multidetector Computed Tomography

    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 …

    vt Repository record for Imaging of the Canine Heart Using Non ECG-Gated and ECG-Gated 64 Multidetector Computed Tomography (opens in a new tab)

  5. Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis

    <p>In this work, first we investigate the use of ECG signal as a biometric in human identification systems using deep learning models. We train convolutional neural network models on ECG samples from approximately 81k patients. Our models achieved an over-all accuracy of 95.69%. Further, we assess …

    chapman Repository record for Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis (opens in a new tab)

  6. Parallelization of ECG template-based abnormality detection

    … arrest, long-term study of electrocardiogram (ECG) data needs to be done to detect changes in electrical activity of diseased hearts. In the past, limitations of computing power and storage space restricted the duration of long-term studies to several days. However, with today's technological …

    wvu Repository record for Parallelization of ECG template-based abnormality detection (opens in a new tab)

  7. Neural Network Pruning for ECG Arrhythmia Classification

    … and compared on the CIFAR-10 database and an ECG arrhythmia classification task. Each pruning method employs a pruning phase interleaved with a finetuning phase. It is shown that when performing the scale-factor pruning algorithm on ECG, finetuning time can be expedited by 1.4 times over the …

    calpoly Repository record for Neural Network Pruning for ECG Arrhythmia Classification (opens in a new tab)

  8. A wearable heart monitor at the ear using ballistocardiogram (BCG) and electrocardiogram (ECG) with a nanowatt ECG heartbeat detection circuit

    … (BCG) and the electrocardiogram (ECG) to extract heart rate, stroke volume, and pre-ejection period (PEP) for the application of continuous heart monitoring. Being a natural anchoring point, the ear is demonstrated as a viable location for the integrated sensing of physiological …

    mit Repository record for A wearable heart monitor at the ear using ballistocardiogram (BCG) and electrocardiogram (ECG) with a nanowatt ECG heartbeat detection circuit (opens in a new tab)

  9. Detection Of The R-wave In Ecg Signals

    … a new approach for detecting R-waves in the ECG signal and generating the corresponding R-wave impulses with the delay between the original R-waves and the R-wave impulses being lesser than 100 ms. The algorithm was implemented in Matlab and tested with good results against 90 different ECG

    ucf

  10. Self-Supervised ECG Learning for Multimodal Clinical Tasks

    … diverse input combinations. We first introduce ECG-JEPA, a self-supervised encoder pretrained on multiple ECG datasets to learn generalizable time series representations. This unimodal pretraining improves ECG classification, achieving a 23-point AUC gain on the underrepresented Ga dataset. We …

    mit Repository record for Self-Supervised ECG Learning for Multimodal Clinical Tasks (opens in a new tab)

  11. A long term wearable electrocardiogram (ECG) measurement system

    … A single lead, clinical grade electrocardiogram (ECG), along with 3 axes of acceleration are recorded while a user wearing the device carries out his/her daily activities. The monitor itself consists of a central PCB that contains an electrode and the majority of the electronics, along with either …

    mit Repository record for A long term wearable electrocardiogram (ECG) measurement system (opens in a new tab)

  12. Carbohydrate loading and its effect on ECG responses

    … high-fat diets. The above electrocardiographic (ECG) changes were noted as not being clinically significant by an internal medicine physician. No changes were noted in blood pressures, serum free fatty acids (FFA) and post exhaustive run body weights for diets not pre/post exercise bouts. Serum …

    vt Repository record for Carbohydrate loading and its effect on ECG responses (opens in a new tab)

  13. Optimizing Real-Time ECG Data Transmission in Constrained Environments

    ECG monitoring systems have a significant role in detecting cardiovascular diseases and reducing the rate of sudden cardiac deaths through early warnings for heart attacks. One of the critical factors in supporting real-time ECG tracking is to guarantee monitoring system availability. This thesis …

    queens Repository record for Optimizing Real-Time ECG Data Transmission in Constrained Environments (opens in a new tab)

  14. Time series analysis of ECG data and unreliable forecasting

    … by observing individual Electrocardiograph (ECG) time series data. We usually use linear models because they are simple and easy to apply. But linear systems that are used to describe complex biological system such as ECG data are no longer satisfactory. For the ECG data , it is expected that …

    ttu Repository record for Time series analysis of ECG data and unreliable forecasting (opens in a new tab)

  15. Novel ECG analysis with application to atrial fibrillation detection

    A new approach of electrocardiography (ECG) analysis system is developed to process noisy ECG signals leading for improved arrhythmia detection. The system employs two processing units comprising a novel noise reduction unit and a novel pattern recognition unit. Each unit incorporates numbers of …

    strathclyde Repository record for Novel ECG analysis with application to atrial fibrillation detection (opens in a new tab)

  16. False arrhythmia alarm suppression using ECG, ABP, and photoplethysmogram

    A signal quality assessment scheme for the photoplethysmogram waveform recorded by a pulse oximeter has been created. The signal quality algorithm uses statistical methods on time-series and spectral analysis to locate high-frequency segments of the photoplethysmogram waveform. A photoplethysmogram …

    mit Repository record for False arrhythmia alarm suppression using ECG, ABP, and photoplethysmogram (opens in a new tab)

  17. Monitoring transient repolarization segment morphology deviations in mouse ECG

    … repolarization segment morphologies in the ECG of mice. The technology consists of hardware for signal conditioning of the electrocardiogram (ECG); software for the collection, archiving and real-time & retrospective Internet visualization of data; and an algorithm for morphology analysis of …

    mit Repository record for Monitoring transient repolarization segment morphology deviations in mouse ECG (opens in a new tab)

  18. Automated detection of frequency specific fluctuations in ECG morphology

    Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.

    mit Repository record for Automated detection of frequency specific fluctuations in ECG morphology (opens in a new tab)

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