[HTML][HTML] Comprehensive survey of computational ECG analysis: Databases, methods and applications
Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …
Automatic analysis of these recordings can be performed using various computational …
Evaluation of electrocardiogram signals classification using CNN, SVM, and LSTM algorithm: A review
The non-stationary signals of Electrocardiogram (ECG) are widely utilized to assess
heartbeat rate and tune the major goal of this study is to give an overview of ECG …
heartbeat rate and tune the major goal of this study is to give an overview of ECG …
Robust R-peak detection in low-quality holter ECGs using 1D convolutional neural network
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
Robust peak detection for holter ECGs by self-organized operational neural networks
Although numerous R-peak detectors have been proposed in the literature, their robustness
and performance levels may significantly deteriorate in low-quality and noisy signals …
and performance levels may significantly deteriorate in low-quality and noisy signals …
Strain‐Isolating Materials and Interfacial Physics for Soft Wearable Bioelectronics and Wireless, Motion Artifact‐Controlled Health Monitoring
Recent developments of micro‐sensors and flexible electronics allow for the manufacturing
of health monitoring devices, including electrocardiogram (ECG) detection systems for …
of health monitoring devices, including electrocardiogram (ECG) detection systems for …
Robust ECG R-peak detection using LSTM
Detecting QRS complexes or R-peaks from the electrocardiogram (ECG) is the basis for
heart rate determination and heart rate variability analysis. Over the years, multiple different …
heart rate determination and heart rate variability analysis. Over the years, multiple different …
[HTML][HTML] Diverse beta burst waveform motifs characterize movement-related cortical dynamics
Classical analyses of induced, frequency-specific neural activity typically average band-
limited power over trials. More recently, it has become widely appreciated that in individual …
limited power over trials. More recently, it has become widely appreciated that in individual …
Classification of Mental Stress Using CNN‐LSTM Algorithms with Electrocardiogram Signals
M Kang, S Shin, J Jung, YT Kim - Journal of Healthcare …, 2021 - Wiley Online Library
The mental stress faced by many people in modern society is a factor that causes various
chronic diseases, such as depression, cancer, and cardiovascular disease, according to …
chronic diseases, such as depression, cancer, and cardiovascular disease, according to …
Motion artifacts correction from EEG and fNIRS signals using novel multiresolution analysis
MS Hossain, MBI Reaz, MEH Chowdhury… - IEEE …, 2022 - ieeexplore.ieee.org
Physiological signal measurement and processing are increasingly becoming popular in the
ambulatory setting as the hospital-centric treatment is moving towards wearable and …
ambulatory setting as the hospital-centric treatment is moving towards wearable and …
Breathable, wireless, thin-film wearable biopatch using noise-reduction mechanisms
Skin-mounted wearable electronics are prone to motion artifacts from many sources,
including sensor delamination, changes in electrode contact, skin strain, device movement …
including sensor delamination, changes in electrode contact, skin strain, device movement …