Detection of Body Position Changes from the ECG using a Laplacian Noise Model

Detection of Body Position Changes from the ECG using a Laplacian Noise Model

Bibliographic Details
Main Authors:	Mincholé, A, Sörnmo, L, Laguna, P
Format:	Journal article
Published:	2013

Similar Items

Quantification of restitution dispersion from the dynamic changes of the T-wave peak to end, measured at the surface ECG.
by: Mincholé, A, et al.
Published: (2011)

Quantification of Restitution Dispersion from the Dynamic Changes of the T wave peak to end‚ measured at the Surface ECG
by: Mincholé, A, et al.
Published: (2011)

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances
by: Lyon, A, et al.
Published: (2018)

Signal Quality Assessment of a Novel ECG Electrode for Motion Artifact Reduction
by: Hesam Halvaei, et al.
Published: (2021-08-01)

ECG-based estimation of dispersion of APD restitution as a tool to stratify sotalol-induced arrhythmic risk.
by: Mincholé, A, et al.
Published: (2015)

A novel ecg−based biomarker quantifying apd restitution dispersion improves risk stratification following sotalol administration
by: Minchole, A, et al.
Published: (2012)

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals
by: Clifford, Gari D., et al.
Published: (2011)

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals
by: Christian Jutten, et al.
Published: (2007-01-01)

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals
by: Jutten Christian, et al.
Published: (2007-01-01)

Identification of Transient Noise to Reduce False Detections in Screening for Atrial Fibrillation
by: Hesam Halvaei, et al.
Published: (2021-06-01)

Adaptive Noise Reduction Algorithm to Improve R Peak Detection in ECG Measured by Capacitive ECG Sensors
by: Minseok Seo, et al.
Published: (2018-06-01)

Distinct ECG phenotypes identified in hypertrophic cardiomyopathy using machine learning associate with arrhythmic risk markers
by: Lyon, A, et al.
Published: (2018)

Detection and classification of ECG noises using decomposition on mixed codebook for quality analysis
by: Pramendra Kumar, et al.
Published: (2020-01-01)

Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model
by: Ramírez, J, et al.
Published: (2017)

ECG Noise Cancellation Based on Grey Spectral Noise Estimation
by: Shing-Hong Liu, et al.
Published: (2019-02-01)

Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers
by: Aurore Lyon, et al.
Published: (2018-03-01)

MRI-Based Computational Torso/Biventricular Multiscale Models to Investigate the Impact of Anatomical Variability on the ECG QRS Complex
by: Ana Mincholé, et al.
Published: (2019-08-01)

Bioelectrical signal processing in cardiac and neurological applications /
by: 271818 Sornmo, Leif, et al.
Published: (2005)

Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal
by: Udit Satija, et al.
Published: (2016-12-01)

Removing ECG noise from surface EMG signals using adaptive filtering.
by: Lu, G, et al.
Published: (2009)

Multiplicity of Positive Solutions of laplacian systems with sign-changing weight functions
by: Seyyed Sadegh Kazemipoor, et al.
Published: (2014-02-01)

Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model.
by: Julia Ramírez, et al.
Published: (2017-01-01)

Noise-Reducing Fabric Electrode for ECG Measurement
by: Takamasa Terada, et al.
Published: (2021-06-01)

Characterization of Cardiac Repolarization Response to Heart Rate Changes Provoked by a Tilt Test
by: Ramírez, J, et al.
Published: (2012)

Single Position ECG Detection System Based on Charge Induction
by: Yi Yang, et al.
Published: (2023-05-01)

Laplacian pyramid-based change detection in multitemporal SAR images
by: R. Vijaya Geetha, et al.
Published: (2019-01-01)

Can 24 h of ambulatory ECG be used to triage patients to extended monitoring?
by: Linda S. Johnson, et al.
Published: (2023-11-01)

ECG noise reduction with the use of the ant lion optimizer algorithm
by: Kiew, Hui Hii, et al.
Published: (2019)

Noise Reduction in ECG Signal Using an Effective Hybrid Scheme
by: Pingping Bing, et al.
Published: (2020-01-01)

Removal of electromyography noise from ECG for high performance biomedical systems
by: Navdeep Prashar, et al.
Published: (2018-03-01)

Positive solutions for nonlinear fractional Laplacian problems
by: Elliott Hollifield
Published: (2023-03-01)

Modeling and quantification of repolarization feature dependency on heart rate
by: Mincholé, A, et al.
Published: (2013)

Positive solutions of the p-Laplacian dynamic equations on time scales with sign changing nonlinearity
by: Abdulkadir Dogan
Published: (2018-01-01)

Adaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal
by: A. Khalili, et al.
Published: (2016-07-01)

Use of a trained denoising autoencoder to estimate the noise level in the ECG
by: Samann Fars, et al.
Published: (2021-10-01)

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders
by: Hsin-Tien Chiang, et al.
Published: (2019-01-01)

Noise Removal of ECG Signal Using Recursive LeastSquare Algorithms
by: Noor K. Muhsin
Published: (2011-01-01)

Existence of positive solutions for fractional Laplacian systems with critical growth
by: Jeziel N. Correia, et al.
Published: (2022-11-01)

Discrimination Between Ischemic and Artifactual ST Segment Events in Holter Recordings
by: Mincholé, A, et al.
Published: (2010)

Positive solutions for singular $\phi-$Laplacian BVPs on the positive half-line
by: Smail Djebali, et al.
Published: (2009-10-01)