Results 91 to 100 of about 678,002 (383)

Research and design of a portable single guide electrocardiograph

open access: yesDianzi Jishu Yingyong, 2023
Chronic diseases which include cancer diseases, respiratory diseases and cardiovascular & cerebrovascular disease become the main diseases affecting the health of Chinese residents, and affect the improvement of healthy life expectancy of Chinese ...
Zhao Tianxia   +3 more
doaj   +1 more source

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

open access: yesNeural computing & applications (Print), 2019
The heart disease is one of the most serious health problems in today’s world. Over 50 million persons have cardiovascular diseases around the world. Our proposed work based on 744 segments of ECG signal is obtained from the MIT-BIH Arrhythmia database ...
Pawel Plawiak, U. R. Acharya
semanticscholar   +1 more source

ECG Interpretation: Clinical Relevance, Challenges, and Advances

open access: yesHearts, 2021
Since its inception, the electrocardiogram (ECG) has been an essential tool in medicine. The ECG is more than a mere tracing of cardiac electrical activity; it can detect and diagnose various pathologies including arrhythmias, pericardial and myocardial ...
N. Rafie, A. Kashou, P. Noseworthy
semanticscholar   +1 more source

A Vertically‐Stacked Optoelectronic Sensor for Localized Hemodynamics Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces a hemodynamics monitoring sensor that features vertically stacked microLEDs and a heterogeneously integrated photodetector. The vertically stacked microLEDs enable localized measurements, and by designing the interoptode distance according to the depth of the target region, this vertically stacked optoelectronic sensor is ...
Taeyeon Lee   +9 more
wiley   +1 more source

Sustainable-by-Design Approach of Active Catalysts to Produce Reactive Oxygen Species in Water Matrices

open access: yesSustainable Chemistry
An overview of the latest advances in the design of active catalysts with the ability to promote (photo) Fenton processes in water from a Green Chemistry perspective is discussed herein.
Prisco Prete
doaj   +1 more source

Supramolecular Zwitterionic Hydrogels for Information Encryption, Soft Electronics and Energy Storage at Icy Temperature

open access: yesAdvanced Functional Materials, EarlyView.
A series of ACHPES‐based hydrogels are developed and realizing multiple functions like anti‐fouling properties, alkali‐induced color/fluorescence‐changing ability and strain sensing. Furthermore, the hydrogels show excellent anti‐freezing performance, whose optical, mechanical and electrical properties remain stable at −47.3 °C.
Gaopeng Wang   +9 more
wiley   +1 more source

Plug-in circuit board for the Raspberry-Pi microcomputer to reproduce multi-channel original electrocardiograms

open access: yesCurrent Directions in Biomedical Engineering, 2019
Commercial simulators can only reproduce electrocardiograms (ECG) of the normal and diseased heart rhythm in a simplified waveform and with a low number of channels.
Haber Tobias   +3 more
doaj   +1 more source

A tight upper bound on the size of the antidictionary of a binary string [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2005
A tight upper bound of the size of the antidictionary of a binary string is presented. And it is shown that the size of the antidictionary of a binary sting is always smaller than or equal to that of its dictionary.
Hiroyoshi Morita, Takahiro Ota
doaj   +1 more source

Origins of ECG and Evolution of Automated DSP Techniques: A Review [PDF]

open access: yesarXiv, 2021
Over the years researchers have studied the evolution of Electrocardiogram (ECG) and the complex classification of cardiovascular diseases. This review focuses on the evolution of the ECG, and covers the most recent signal processing schemes with milestones over last 150 years in a systematic manner.
arxiv  

Automated Atrial Fibrillation Detection from Electrocardiogram [PDF]

open access: yes, 2019
In this study, a novel Atrial Fibrillation (AFib) detection algorithm is presented based on Electrocardiography (ECG) signals. In particular, the spectrogram of ECG signal is used as an input to a Convolutional Neural Network (CNN) to classify normal and
Lu, Senbao
core   +1 more source

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