Evaluation of the feasibility of cardiac gating for SBRT of ventricular tachycardia based on real‐time ECG signal acquisition
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13814
Abstract: Abstract Purpose To investigate the feasibility of cardiac synchronized gating in stereotactic body radiation therapy (SBRT) of ventricular tachycardia (VT) using a real‐time electrocardiogram (ECG) signal acquisition. Methods and materials Stability of beam characteristics during… read more here.
Keywords: beam; sbrt; ecg signal; real time ... See more keywords
Biometric identification using fingertip electrocardiogram signals
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1238-4
Abstract: In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is high-sensitive, dry-contact, portable,… read more here.
Keywords: identification using; biometric identification; ecg signal; identification ... See more keywords
Person identification using ECG signal’s symbolic representation and dynamic time warping adaptation
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1351-4
Abstract: Since electrocardiogram (ECG) is a unique physiological signal which is existing only in the live people, it has been used in the novel biometric systems to identify people and to counter forge and fraud attacks.… read more here.
Keywords: ecg signal; time warping; person; dynamic time ... See more keywords
End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-022-00687-7
Abstract: Purpose Depression is a common mental illness worldwide and has become an important public health problem. The current clinical diagnosis of depression mainly relies on the doctor’s experience and subjective diagnosis, which results in the… read more here.
Keywords: end; ecg signal; depression; model ... See more keywords
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2019.101788
Abstract: The recognition of cardiac arrhythmia in minimal time is important to prevent sudden and untimely deaths. The proposed work includes a complete framework for analyzing the Electrocardiogram (ECG) signal. The three phases of analysis include… read more here.
Keywords: arrhythmia; classification; learning approach; ecg signal ... See more keywords
Adaptive fetal ECG signal extraction based on LabVIEW and C# implementation
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.687
Abstract: Abstract This paper deals with the using of adaptive filters in the biological signal processing area. It focuses on the design and implementation of adaptive filters based on virtual instrumentation in the LabVIEW development environment… read more here.
Keywords: ecg signal; extraction; implementation adaptive; fetal ecg ... See more keywords
Computationally Efficient Cosine Modulated Filter Bank Design for ECG Signal Compression
Sign Up to like & getrecommendations! Published in 2020 at "Irbm"
DOI: 10.1016/j.irbm.2019.06.002
Abstract: Abstract In this work, computationally efficient and reliable cosine modulated filter banks (CMFBs) are designed for Electrocardiogram (ECG) data compression. First of all, CMFBs (uniform and non-uniform) are designed using interpolated finite impulse response (IFIR)… read more here.
Keywords: ecg signal; computationally efficient; compression; modulated filter ... See more keywords
Detection of abnormal heart conditions based on characteristics of ECG signals
Sign Up to like & getrecommendations! Published in 2018 at "Measurement"
DOI: 10.1016/j.measurement.2018.05.033
Abstract: Abstract Heart diseases are one of the most important death causes across the globe. Therefore, early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram (ECG) is widely used to diagnose… read more here.
Keywords: detection; heart; heart diseases; ecg signals ... See more keywords
A new database with annotations of P waves in ECGs with various types of arrhythmias
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac944e
Abstract: Objective. The aim of this study is to create a database for the development, evaluation and objective comparison of algorithms for P wave detection in ECG signals. Brno University of Technology ECG Signal Database with… read more here.
Keywords: ecg signals; database; ecg; ecg signal ... See more keywords
Classification of arrhythmias using an LSTM- and GAN-based approach to ECG signal augmentation
Sign Up to like & getrecommendations! Published in 2023 at "Europace"
DOI: 10.1093/europace/euad122.622
Abstract: Abstract Funding Acknowledgements Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): British Heart Foundation Introduction Automated classification of arrhythmias in ECGs is becoming increasingly important. Publicly available ECG datasets have been widely… read more here.
Keywords: classification; based approach; ecg signal; classification arrhythmias ... See more keywords
ECG Signal Reconstruction via Doppler Sensor by Hybrid Deep Learning Model With CNN and LSTM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009266
Abstract: An Electrocardiogram (ECG) is a typical method used to detect heartbeat, and an ECG signal analysis enables the detection of some heart diseases. However, the ECG-based heartbeat detection requires device attachment, which is not preferred… read more here.
Keywords: ecg signal; doppler sensor; deep learning; signal reconstruction ... See more keywords