A review of deep learning techniques for speech processing

A Mehrish, N Majumder, R Bharadwaj, R Mihalcea… - Information …, 2023 - Elsevier
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

[HTML][HTML] Estimating the severity of obstructive sleep apnea during wakefulness using speech: A review

B TaghiBeyglou, I Čuljak, F Bagheri… - Computers in Biology …, 2024 - Elsevier
Obstructive sleep apnea (OSA) is a chronic breathing disorder during sleep that affects 10-
30% of adults in North America. The gold standard for diagnosing OSA is polysomnography …

Machine learning based severity classification of obstructive sleep apnea patients using awake EEG

F Nassehi, A Eken, NB Atalay, H Firat… - … Signal Processing and …, 2024 - Elsevier
Obstructive sleep apnea (OSA) is one of the most widespread breathing-based sleep
disorders. Previous studies reported daytime sleepiness, mental fatigue, and cognitive …

A pilot observation using ultrasonography and vowel articulation to investigate the influence of suspected obstructive sleep apnea on upper airway

S Saha, A Rattansingh, R Martino, K Viswanathan… - Scientific Reports, 2024 - nature.com
Failure to employ suitable measures before administering full anesthesia to patients with
obstructive sleep apnea (OSA) who are undergoing surgery may lead to developing …

Obstructive sleep apnea detection with nonlinear analysis of speech

D Yılmaz, M Yıldız, YU Toprak, S Yetkin - Biomedical Signal Processing …, 2023 - Elsevier
Studies on the detection of Obstructive Sleep Apnea (OSA) from speech recording have
brought an important innovation to this field. This study is based on the hypothesis that the …

Obstructive sleep apnea detection during wakefulness: a comprehensive methodological review

AM Alqudah, A Elwali, B Kupiak, F Hajipour… - Medical & Biological …, 2024 - Springer
Obstructive sleep apnea (OSA) is a chronic condition affecting up to 1 billion people,
globally. Despite this spread, OSA is still thought to be underdiagnosed. Lack of diagnosis is …

Feasibility of acoustic features of vowel sounds in estimating the upper airway cross sectional area during wakefulness: A pilot study

S Saha, K Viswanathan, A Saha, A Yadollahi - Speech Communication, 2024 - Elsevier
Assessment of upper airway dimensions has shown great promise in understanding the
pathogenesis of obstructive sleep apnea (OSA). However, the current screening system for …

Influence-Based Nano Fuzzy Swarm Oxygen Deficiency Detection and Therapy

NR Raz, MR Akbarzadeh-T… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Oxygen deficiency is a serious health problem that may occur as a result of many diseases.
In this article, we present an influence-based nano fuzzy swarm (INFS) for oxygen deficiency …

Systematic Review of Detecting Sleep Apnea Using Artificial Intelligence: An Insight to Convolutional Neural Network Method

B Samadi, S Samadi, M Samadi, S Samadi… - Archives of …, 2024 - brieflands.com
Background: Sleep apnea is a prevalent sleep disorder, especially in males and older ages.
The common diagnostic methods, including polysomnography (PSG), are expensive, difficult …

A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment

X Huang, J Tang, J Luo, F Shu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA), one of the most common sleep-related breathing disorders,
contributes as a potentially life-threatening disease. In this paper, a wearable functional near …