Results 111 to 120 of about 678,002 (383)
A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection
Frontiers of Physics, 2019 We present a fully automatic and fast ECG arrhythmia classifier based on a simple brain-inspired machine learning approach known as Echo State Networks. Our classifier has a low-demanding feature processing that only requires a single ECG lead.
M. Alfaras, M. C. Soriano, S. Ortín
semanticscholar +1 more source
Influence of Hypoxia on a Biomaterial Model of the Bone Marrow Perivascular Niche
Advanced Healthcare Materials, EarlyView.Hypoxia is a key factor in bone marrow physiology and hematopoietic stem cell behavior. Lower oxygen tension influences the secretion of vasculature‐derived hematopoietic regulatory factors and alters hematopoietic cell behavior in a conditioned medium hydrogel model of bone marrow. Cyclosporin A is used to mitigate normoxic stress during hematopoietic
Gunnar B. Thompson +3 more
wiley +1 more source
Data fusion of multivariate time series: Application to noisy 12-lead ECG signals [PDF]
arXiv, 2018 12-lead ECG signals fusion is crucial for further ECG signal processing. In this paper, a novel fusion data algorithm is proposed. In the method, 12-lead ECG signals are appropriately converted to a single-lead physiological signal via the idea of the local weighted linear prediction algorithm.
arxiv
ECG Reconstruction via PPG: A Pilot Study [PDF]
, 2019 In this paper, the relation between electrocardiogram (ECG) and photoplethysmogram (PPG) signals is studied, and the waveform of ECG is inferred via the PPG signals. In order to address this inverse problem, a transform is proposed to map the discrete cosine transform (DCT) coefficients of each PPG cycle to those of the corresponding ECG cycle.
arxiv +1 more source
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases [PDF]
In International Conference on Machine Learning, 3360--3370,
(2022), PMLR, 2022 Electrocardiogram (ECG) is a widely used non-invasive diagnostic tool for heart diseases. Many studies have devised ECG analysis models (e.g., classifiers) to assist diagnosis. As an upstream task, researches have built generative models to synthesize ECG data, which are beneficial to providing training samples, privacy protection, and annotation ...
arxiv
Insulated ECG electrodes [PDF]
, 1973 Insulated, capacitively coupled electrode does not require electrolyte paste for attachment. Other features of electrode include wide range of nontoxic material that may be employed for dielectric because of sputtering technique used.
David, R. M., Portnoy, W. M.
core +1 more source
Designing for Degradation: Transient Devices Enabled by (Nano)Cellulose
Advanced Materials, EarlyView.Recent progress in transient devices enabled by (nano)cellulosic materials is reviewed. Transiency mechanisms, advantages of nanocelluloses, and a suite of applications are discussed. A circular thinking approach coupled with life cycle assessment is applied to critically revisit the potential, advantages, and challenges of nanocellulose‐enabled ...
Lucas J. Andrew +2 more
wiley +1 more source
Sensors, 2019 Psychological stress is known to activate the autonomic nervous system (ANS), thus representing a useful target to be monitored to understand the physiological, unconscious effect of stress on the human body.
Alessandro Tonacci +4 more
doaj +1 more source
Deterministic Compressed Domain Analysis ofMulti-channel ECG Measurements [PDF]
arXiv, 2020 Continuous and long term acquisition of multi-channel ECG measurements are significant for diagnostic purposes. Compressive sensing has been proposed in the literature for obtaining continuous ECG measurements as it provides advantages including a reduced number of measurements, reduced power consumption and bandwidth for transmission.
arxiv
, 2017 There is a need for affordable, widely deployable maternal-fetal ECG monitors to improve maternal and fetal health during pregnancy and delivery. Based on the diffusion-based channel selection, here we present the mathematical formalism and clinical ...
Frasch, Martin G. +2 more
core +1 more source