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 …
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 …
Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images
A Asokan, J Anitha - ISA transactions, 2020 - Elsevier
A satellite image transmitted from satellite to the ground station is corrupted by different
kinds of noises such as impulse noise, speckle noise and Gaussian noise. The traditional …
kinds of noises such as impulse noise, speckle noise and Gaussian noise. The traditional …
Joint time-space resource allocation and waveform selection for the collocated MIMO radar in multiple targets tracking
X Li, T Cheng, Y Su, H Peng - Signal Processing, 2020 - Elsevier
Compared with conventional phased array radar, the collocated MIMO radar can effectively
control the transmitting beam width by means of sub-array division. Therefore, different …
control the transmitting beam width by means of sub-array division. Therefore, different …
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 …
A robust digital ECG signal watermarking and compression using biorthogonal wavelet transform
Purpose With the advent of the technological era, the complexity of data security and privacy
has gained utmost importance. People are becoming more conscious about the security and …
has gained utmost importance. People are becoming more conscious about the security and …
Effect of an inflatable air mattress with variable rigidity on sleep quality
Several studies, wherein the structure or rigidity of a mattress was varied, have been
conducted to improve sleep quality. These studies investigated the effect of variation in the …
conducted to improve sleep quality. These studies investigated the effect of variation in the …
Wavelet-based hybrid machine learning model for out-of-distribution internet traffic prediction
Internet traffic prediction is a crucial component for the proactive management of self-
organizing networks (SON) to ensure better Quality of Service (QoS) and Quality of …
organizing networks (SON) to ensure better Quality of Service (QoS) and Quality of …