Editor’s Picks - IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin https://www.embs.org/ojemb/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB) IEEE Open Journal of Engineering in Medicine and Biology (OJEMB) //www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png January 19, 2024 March 21, 2024

January 19, 2024

SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin

Goal: Dynamically monitoring serotonin in real-time within target brain regions would significantly improve the diagnostic and therapeutic approaches to a variety of neurological and psychiatric disorders. Current systems for measuring…

Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data

Objective: Panic attacks are an impairing mental health problem that affects 11% of adults every year. Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often…

Vector Field Heterogeneity for the Assessment of Locally Disorganised Cardiac Electrical Propagation Wavefronts From High-Density Multielectrodes

High-density multielectrode catheters are becoming increasingly popular in cardiac electrophysiology for advanced characterisation of the cardiac tissue, due to their potential to identify impaired sites. These are often characterised by…

A database of simultaneously recorded ECG signals with and without EMG noise

Author(s): Vladimir Atanasoski, Jovana Petrovic, Lana Popović Maneski, Marjan Miletić, Miloš Babić, Aleksandra Nikolić, Dorin Panescu, Marija D. Ivanović

Abstract:

Goal: Noise on recorded electrocardiographic (ECG) signals may affect their clinical interpretation. Electromyographic (EMG) noise spectrally coincides with the QRS complex, which makes its removal particularly challenging. The problem of evaluating the noise-removal techniques has commonly been approached by algorithm testing on the contaminated ECG signals constructed ad hoc as ...

Published in: IEEE Open Journal of Engineering in Medicine and Biology
Page(s): 1 - 4
Year of Publication: 2023
Electronic ISSN: 2644-1276
DOI: 10.1109/OJEMB.2023.3330295
Publisher: IEEE

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