Results 61 to 70 of about 6,172 (229)

Classifying sleep states using persistent homology and Markov chain: a Pilot Study [PDF]

open access: yesarXiv, 2020
Obstructive sleep Apnea (OSA) is a form of sleep disordered breathing characterized by frequent episodes of upper airway collapse during sleep. Pediatric OSA occurs in 1-5% of children and can related to other serious health conditions such as high blood pressure, behavioral issues, or altered growth.
arxiv  

Classification of sleep stages from EEG, EOG and EMG signals by SSNet [PDF]

open access: yesarXiv, 2023
Classification of sleep stages plays an essential role in diagnosing sleep-related diseases including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end deep learning architecture, named SSNet, which comprises of two deep learning networks based on Convolutional Neuron Networks (CNN) and Long Short Term Memory (LSTM).
arxiv  

A New Short‐Term Assessment Condition for Evaluating Nonfunctional Electromyographic Activity of Masseter Muscle During Wakefulness

open access: yesJournal of Oral Rehabilitation, EarlyView.
Short‐term EMG assessments during tasks like a 15‐min reading may offer a viable alternative to prolonged monitoring for assessing nonfunctional masseter activity linked to awake bruxism (AB). ABSTRACT Background Awake bruxism involves masticatory muscle activity during wakefulness, potentially leading to clinical concerns.
Suvichaya Angkulmahasuk   +3 more
wiley   +1 more source

Relationship Between Cigarette Smoking and Awake Bruxism: Does Smoking Increase the Frequency of Masticatory Muscle Activities?

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Despite the aetiology of awake bruxism (AB) being prevalently linked to psychological factors, several studies suggested that the use of certain substances, such as tobacco smoking, can contribute to the increase in masticatory muscle activities (MMA) during wakefulness.
Ovidiu Ionut Saracutu   +4 more
wiley   +1 more source

The Role of Stress in Burning Mouth Syndrome Triggered by Dental Treatments: A Two‐Step Hypothesis

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Objectives Burning mouth syndrome (BMS) is a complex and debilitating orofacial pain disorder, defined as a persistent burning sensation in the oral mucosa without any identifiable causative lesion. Its prevalence increases with age, and women are disproportionately more affected.
Ashley Lebel   +4 more
wiley   +1 more source

Sleep bruxism: the complexity of a definitive diagnosis – case report

open access: yesAnnals of Medicine, 2021
Introduction Bruxism is defined as a repetitive jaw-muscle activity characterised by clenching or grinding of the teeth and/or by bracing or thrusting of the mandible [1].
Maria Braz de Oliveira   +5 more
doaj   +1 more source

Psychological Distress: A Mediating Factor in the Relationship Between Sleep Bruxism and Tobacco Smoking

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Sleep bruxism (SB) is defined as a masticatory muscle activity during sleep characterised by a multifactorial aetiology. Tobacco smoking and psychological status are considered predisposing factors for SB, but their mutual interaction remains unclear. Objective To investigate the relationship between self‐report SB, tobacco smoking,
Matteo Pollis   +4 more
wiley   +1 more source

Sleep stage dynamics in young patients with sleep bruxism [PDF]

open access: yesSleep, 2019
AbstractStudy ObjectivesWe hypothesized that sleep stage dynamics are different in patients with sleep bruxism (SB) and that these changes are associated with the occurrence of rhythmic masticatory muscle activity (RMMA).MethodsFifteen healthy controls and 15 patients with SB underwent overnight polysomnography.
Yuki Shiraishi   +7 more
openaire   +3 more sources

End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features [PDF]

open access: yesarXiv, 2020
Sleep disorder is one of many neurological diseases that can affect greatly the quality of daily life. It is very burdensome to manually classify the sleep stages to detect sleep disorders. Therefore, the automatic sleep stage classification techniques are needed.
arxiv  

Incidence and Risk Factors of Peri‐Implantitis Over Time—A Prospective Cohort Study

open access: yesJournal of Periodontal Research, EarlyView.
Identifying true risk factors requires a longitudinal evaluation to verify the temporality criterion. This study identified periodontitis (stage and grade), lifestyle behaviours (smoking and sleep duration), implant location, and prosthetic factors (restoration type and margin location) as risk factors for peri‐implantitis.
Mario Romandini   +4 more
wiley   +1 more source

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