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 …
A novel ECG signal compression method using spindle convolutional auto-encoder
Background and objectives With rapid development of telehealth system and cloud platform,
traditional 12-ECG signals with high resolution generate heavy burdens in data storage and …
traditional 12-ECG signals with high resolution generate heavy burdens in data storage and …
Efficient lossless compression scheme for multi-channel ECG signal processing
TH Tsai, FL Tsai - Biomedical Signal Processing and Control, 2020 - Elsevier
Electrocardiogram (ECG) represents the recording of the heart's electrical activity and is
used to diagnose heart disease nowadays. The diagnosis requires huge time consumption …
used to diagnose heart disease nowadays. The diagnosis requires huge time consumption …
A novel ECG signal compression using wavelet and discrete anamorphic stretch transforms
R Thilagavathy, B Venkataramani - Biomedical Signal Processing and …, 2022 - Elsevier
In this paper, a one-dimensional complex Discrete Anamorphic Stretch Transform (DAST) is
proposed for precompression of the ECG signal. Three 1D kernels (Linear, Sublinear, and …
proposed for precompression of the ECG signal. Three 1D kernels (Linear, Sublinear, and …
Meta-Analysis approach to assess ECG compression methods: A systematic Review
V Aggarwal, S Gupta, MS Patterh - 2023 14th International …, 2023 - ieeexplore.ieee.org
In present era, technological advancements make it possible to develop better telehealth
care and monitoring system for those patients who are at remote locations. It became …
care and monitoring system for those patients who are at remote locations. It became …
Exploiting similar prior knowledge for compressing ECG signals
Background and objectives Data compression techniques have been used in order to
reduce power consumption when transmitting electrocardiogram (ECG) signals in wireless …
reduce power consumption when transmitting electrocardiogram (ECG) signals in wireless …
Ecg signal compression based on wavelet parameterization and thresholding using pso
This paper presents an electrocardiogram (ECG) compression algorithm based on discrete
wavelet transform (DWT) and particle swarm optimization (PSO). This technique uses PSO …
wavelet transform (DWT) and particle swarm optimization (PSO). This technique uses PSO …
ECG compression with Douglas-Peucker algorithm and fractal Interpolation.
H Guedri, A Bajahzar, H Belmabrouk - Mathematical Biosciences and …, 2021 - go.gale.com
In this paper, we propose a new ECG compression method using the fractal technique. The
proposed approaches utilize the fact that ECG signals are a fractal curve. This algorithm …
proposed approaches utilize the fact that ECG signals are a fractal curve. This algorithm …
TQWT based Electrocardiogram Compression using Optimized Thresholding
The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart
patients. The recording of ECG signals generates a large amount of data when continuous …
patients. The recording of ECG signals generates a large amount of data when continuous …
Redundancy cancellation of compressed measurements by QRS complex alignment
The demand for long-term continuous care has led healthcare experts to focus on
development challenges. On-chip energy consumption as a key challenge can be …
development challenges. On-chip energy consumption as a key challenge can be …