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 …
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 …
An energy-efficient compression algorithm of ECG signals in remote healthcare monitoring systems
IS Fathi, MAA Makhlouf, E Osman, MA Ahmed - IEEE Access, 2022 - ieeexplore.ieee.org
Remote Healthcare Monitoring Systems (RHMs) that use ECG signals are very effective
tools for the early diagnosis of various heart conditions. However, these systems are still …
tools for the early diagnosis of various heart conditions. However, these systems are still …
ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition
ECG signals reflect all the electrical activities of the heart. Consequently, it plays a key role
in the diagnosis of the cardiac disorder and arrhythmia detection. Based on tiny alterations …
in the diagnosis of the cardiac disorder and arrhythmia detection. Based on tiny alterations …
Efficient methods for signal processing using Charlier moments and artificial bee Colony algorithm
In this paper, we propose efficient methods for the reconstruction, compression, compressive
sensing (CS) and encryption of 1D signals. The proposed reconstruction method is based …
sensing (CS) and encryption of 1D signals. The proposed reconstruction method is based …
ECG compression using wavelet-based compressed sensing with prior support information
Electrocardiogram (ECG) signal compression is a vital signal processing area, especially
with the growing usage of wireless body sensor networks (WBSN). ECG signals need to be …
with the growing usage of wireless body sensor networks (WBSN). ECG signals need to be …
Watermarking of ECG signals compressed using Fourier decomposition method
Secure and efficient transmission of biomedical signals containing delicate and vital health
information of a subject over the network is challenging. Digital watermarking is an attractive …
information of a subject over the network is challenging. Digital watermarking is an attractive …
Nonintrusive heart rate measurement using ballistocardiogram signals: a comparative study
I Sadek, J Biswas - Signal, Image and Video Processing, 2019 - Springer
Nonintrusive monitoring and long-term monitoring of vital signs are essential requirements
for early diagnosis and prevention due to many reasons, one of the most important being …
for early diagnosis and prevention due to many reasons, one of the most important being …
Electrocardiogram signal compression using adaptive tunable-Q wavelet transform and modified dead-zone quantizer
The electrocardiogram (ECG) signals are commonly used to identify heart complications.
These recordings generate large data that needed to be stored or transferred in …
These recordings generate large data that needed to be stored or transferred in …
Near lossless medical image compression using block BWT–MTF and hybrid fractal compression techniques
In this paper, a medical image compression model for efficient transmission of medical
images using block BWT–MTF with Huffman encoding and hybrid fractal encoding is …
images using block BWT–MTF with Huffman encoding and hybrid fractal encoding is …