Multi-label answer aggregation based on joint matrix factorization
Crowdsourcing is a useful and economic approach to data annotation. To obtain annotation
of high quality, various aggregation approaches have been developed, which take into …
of high quality, various aggregation approaches have been developed, which take into …
IoT based compressive sensing for ECG monitoring
The Internet of Things (IoT) has empowered several sets of applications related to remote
monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram …
monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram …
Detection of noise type in electrocardiogram
M Abdelazez, S Rajan… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Physicians use electrocardiogram (ECG) to diagnose cardiovascular diseases. It is mainly
used in hospital environment; however, with advancements in ambulatory ECG, it is now …
used in hospital environment; however, with advancements in ambulatory ECG, it is now …
An end-to-end model for ECG signals classification based on residual attention network
X Lu, X Wang, W Zhang, A Wen, Y Ren - Biomedical Signal Processing and …, 2023 - Elsevier
Arrhythmia is the most threatening disease among cardiovascular diseases, and in the last
few years, the automatic detection of arrhythmia using neural networks have been intensely …
few years, the automatic detection of arrhythmia using neural networks have been intensely …
EEG-based variable node functional network comparison for multiclass brain disease detection using stacked ensemble model
The brain connectivity network (BCN) is considered to be an effective approach for
analysing brain functionality. The EEG-based BCN considers electrodes as a node and …
analysing brain functionality. The EEG-based BCN considers electrodes as a node and …
Low power and high precision analog VLSI design of 1-D DCT for real-time application
The need for low power in many wireless and biomedical signal processing applications
leaves a great scope for the analog discrete time VLSI architectures over their digital …
leaves a great scope for the analog discrete time VLSI architectures over their digital …
Adaptive gradient-based analog hardware architecture for 2D under-sampled signals reconstruction
The paper proposes an analog hardware solution for the implementation of two-dimensional
gradient-based algorithm. The algorithm employs the discrete cosine transform and …
gradient-based algorithm. The algorithm employs the discrete cosine transform and …
Towards Low-Complexity, Fully Parallel and Flexible Hardware Realization of DCT/IDCT
M Mahdavi - 2023 16th International Conference on Signal …, 2023 - ieeexplore.ieee.org
The discrete cosine transform (DCT) and inverse DCT (IDCT) are crucial in various
applications, such as image/video processing, data compression, and wireless …
applications, such as image/video processing, data compression, and wireless …
A comparative study of FFT, DCT, and DWT for efficient arrhytmia classification in RP-RF framework
T Marasović, V Papić - International Journal of E-Health and Medical …, 2018 - igi-global.com
Computer-aided ECG classification is an important tool for timely diagnosis of abnormal
heart conditions. This paper proposes a novel framework that combines the theory of …
heart conditions. This paper proposes a novel framework that combines the theory of …
Analog VLSI Design of Current-Mode DCT for 1-D Signal Processing
A Ganguly, A Banerjee - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
On-chip integration of discrete cosine transform (DCT) processor with CMOS MEMS
microphones and CCD image sensors in low power devices are gaining significant attention …
microphones and CCD image sensors in low power devices are gaining significant attention …