Review of noise removal techniques in ECG signals
An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
Stationary wavelet transform based ECG signal denoising method
Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During
ECG signal acquisition, various noises like power line interference, baseline wandering …
ECG signal acquisition, various noises like power line interference, baseline wandering …
FDA radar with doppler-spreading consideration: Mainlobe clutter suppression for blind-doppler target detection
This paper proposes a mainlobe clutter suppression approach for frequency diverse array
(FDA) radar blind-Doppler target detection, by exploiting the Doppler-spreading (DS) effect …
(FDA) radar blind-Doppler target detection, by exploiting the Doppler-spreading (DS) effect …
A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities
Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …
processing and fetching the information from cardiovascular systems for early detection and …
Patient data hiding into ECG signal using watermarking in transform domain
Electrocardiogram (ECG) watermarking provides secure communication of patient
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
information lies in a 1D-ECG signal. The primary challenge in ECG watermarking is the …
Regularity of heart rate fluctuations analysis in obstructive sleep apnea patients using information-based similarity
S Wu, D Liang, Q Yang, G Liu - Biomedical Signal Processing and Control, 2021 - Elsevier
Obstructive sleep apnea (OSA) is a common respiratory disorder that is associated with
autonomic dysfunction. The low-frequency power to high-frequency power ratio (LF/HF) …
autonomic dysfunction. The low-frequency power to high-frequency power ratio (LF/HF) …
A new algorithm for fetal heart rate detection: Fractional order calculus approach
I Tanasković, N Miljković - Medical Engineering & Physics, 2023 - Elsevier
Objectives A new modified Pan-Tompkins'(mPT) method for fetal heart rate detection is
presented. The mPT method is based on the hypothesis that optimal fractional order …
presented. The mPT method is based on the hypothesis that optimal fractional order …
Cloud based ensemble machine learning approach for smart detection of epileptic seizures using higher order spectral analysis
K Singh, J Malhotra - Physical and Engineering Sciences in Medicine, 2021 - Springer
The present paper proposes a smart framework for detection of epileptic seizures using the
concepts of IoT technologies, cloud computing and machine learning. This framework …
concepts of IoT technologies, cloud computing and machine learning. This framework …
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 …