Advances of ecg sensors from hardware, software and format interoperability perspectives
It is well-known that cardiovascular disease is one of the major causes of death worldwide
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
An electrocardiogram signal compression techniques: a comprehensive review
SO Rajankar, SN Talbar - Analog Integrated Circuits and Signal …, 2019 - Springer
In spite of development in digital storage and communication technology, the demand for
data compression is ever increasing. The ECG data requires about 40–50 MB per channel …
data compression is ever increasing. The ECG data requires about 40–50 MB per channel …
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification
LB Marinho, N de MM Nascimento, JWM Souza… - Future Generation …, 2019 - Elsevier
In this work, we propose a novel approach to detect cardiac arrhythmias in
electrocardiograms (ECG). The proposal focuses on different feature extractors and machine …
electrocardiograms (ECG). The proposal focuses on different feature extractors and machine …
Convolutional neural networks for electrocardiogram classification
In this paper, we propose a transfer learning approach for Arrhythmia Detection and
Classification in Cross ECG Databases. This approach relies on a deep convolutional …
Classification in Cross ECG Databases. This approach relies on a deep convolutional …
A novel Blaschke unwinding adaptive-Fourier-decomposition-based signal compression algorithm with application on ECG signals
This paper presents a novel signal compression algorithm based on the Blaschke
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
Electrocardiogram signal compression using tunable-Q wavelet transform and meta-heuristic optimization techniques
Electrocardiogram (ECG) signals are the biomedical signals commonly used in the
prognosis of cardiovascular diseases. ECG recordings need to be stored and transferred …
prognosis of cardiovascular diseases. ECG recordings need to be stored and transferred …
Detection of Ventricular Arrhythmia by using Heart rate variability signal and ECG beat image
Ventricular Arrhythmia (VA) such as Ventricular Tachycardia (VT) and Ventricular Fibrillation
(VF) are the common type of arrhythmia in infants and children. Electrocardiogram (ECG) …
(VF) are the common type of arrhythmia in infants and children. Electrocardiogram (ECG) …
Quality guaranteed ECG signal compression using tunable-Q wavelet transform and Möbius transform-based AFD
S Banerjee, GK Singh - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Long-term electrocardiogram (ECG) signal monitoring necessitates a large amount of
memory space for storage, which affects the transmission channel efficiency during real-time …
memory space for storage, which affects the transmission channel efficiency during real-time …
Tunable Q-wavelet based ECG data compression with validation using cardiac arrhythmia patterns
CK Jha, MH Kolekar - Biomedical Signal Processing and Control, 2021 - Elsevier
The acquisition of longer electrocardiogram (ECG) signals is an essential step of the recent
medical screening and diagnostic procedures. Considering the need of an efficient ECG …
medical screening and diagnostic procedures. Considering the need of an efficient ECG …
Quality controlled ECG data compression based on 2D discrete cosine coefficient filtering and iterative JPEG2000 encoding
This paper presents a quality controlled reconstruction of ECG signal by the formulation of
2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme …
2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme …