تصفح حسب الموضوع "Electrocardiography"
السجلات المعروضة 1 -- 11 من 11
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Automatic seizure detection based on the combination of newborn multi-channel EEG and HRV information Advances in Nonstationary Electrophysiological Signal Analysis and Processing
(2012 , Article)This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to ... -
Convolutional Neural Networks for patient-specific ECG classification
( IEEE , 2015 , Conference Paper)We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and ... -
Dry ice-mediated rational synthesis of edge-carboxylated crumpled graphene nanosheets for selective and prompt hydrolysis of cellulose and eucalyptus lignocellulose under ambient reaction conditions
( Royal Society of Chemistry , 2020 , Article)Edge-selectively carboxylated graphene (ECG) crumpled nanosheets are of great importance in potential applications; however, their catalytic activity towards biomass hydrolysis is not yet highlighted. Herein, we rationally ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper presents an innovative and safe connected health solution for human identification. The system consists of the encryption and decryption of ECG signals using the advanced encryption standard (AES) as well as the ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Real-time DWT-based compression for wearable Electrocardiogram monitoring system
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Compression of Electrocardiogram signal is important for digital Holters recording, signal archiving, transmission over communication channels and Telemedicine. This paper introduces an effective real-time compression ... -
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ... -
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
( IEEE Computer Society , 2022 , Article)Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ... -
Towards u-health: An indoor 6LoWPAN based platform for real-time healthcare monitoring
( IEEE , 2013 , Conference Paper)Ubiquitous healthcare is the key to handle the challenges of the growing population around the world. A variety of u-healthcare systems have been developed using various short-range technologies and proprietary protocols ...