Arian Azarang

Works (3)

Updated: April 5th, 2024 17:29

2023 journal article

An open-source framework for synthetic post-dive Doppler ultrasound audio generation

PLOS ONE, 18(4).

By: D. Le n, A. Hoang n, A. Azarang n, R. Lance*, M. Natoli*, A. Gatrell*, S. Blogg*, P. Dayton n ...

TL;DR: A method to generate synthetic post-dive data using DU signals collected in both precordium and subclavian vein with varying degrees of bubbling matching field-standard grading metrics is developed, allowing for researchers to tune the produced dataset for their desired purpose. (via Semantic Scholar)
Source: Web Of Science
Added: July 10, 2023

2023 journal article

Deep Learning-Based Venous Gas Emboli Grade Classification in Doppler Ultrasound Audio Recordings

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(5), 1436–1446.

By: A. Azarang n, D. Le n, A. Hoang n, S. Blogg, P. Dayton n, R. Lance*, M. Natoli*, A. Gatrell* ...

author keywords: Ultrasonic imaging; Doppler effect; Ultrasonic variables measurement; Recording; Deep learning; Monitoring; Blood; Decompression bubble; decompression stress; diving research; squeeze-and-excitation deep learning model
MeSH headings : Humans; Decompression Sickness; Deep Learning; Sound Recordings; Embolism, Air / diagnostic imaging; Ultrasonography, Doppler
TL;DR: The present work demonstrates the first application of deep-learning for DU VGE grading using a combination of synthetic and real-world data and can contribute to accelerating DU analysis for decompression research. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: June 26, 2023

2023 journal article

Development of a graphical user interface for automatic separation of human voice from Doppler ultrasound audio in diving experiments

PLOS ONE, 18(8).

By: A. Azarang*, S. Blogg*, J. Currens n, R. Lance*, R. Moon*, P. Lindholm*, V. Papadopoulou n

TL;DR: A graphical user interface (GUI) to perform automatic speech recognition and aid in Non-speech and Speech separation and has the potential to significantly accelerate the reuse of previously-acquired datasets is developed. (via Semantic Scholar)
Source: Web Of Science
Added: October 16, 2023

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