Results 101 to 110 of about 1,113,638 (367)

Kinesiophobia in Hearing Loss

open access: yesİstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi, 2018
Aim: Kinesiophobia is an irrational fear, which depends on the belief in injury predisposition. It is associated with lower levels of physical activity. Diagnosing hearing loss can lead to kinesiophobia.Method: The study was planned as a case-control study.
Tuba Tülay KOCA   +1 more
openaire   +6 more sources

Relationship between hearing function and myasthenia gravis: a contemporary review [PDF]

open access: yes, 2016
There is increasing evidence of a connection between hearing function and myasthenia gravis (MG). Studies of the pathophysiological basis of this relationship suggest that acetylcholine receptors (AChRs) on outer hair cells (OHCs) play a central role. In
ALTISSIMI, Giancarlo   +5 more
core   +1 more source

Simultaneous Isotropic Omnidirectional Hypersensitive Strain Sensing and Deep Learning‐Assisted Direction Recognition in a Biomimetic Stretchable Device

open access: yesAdvanced Materials, Volume 37, Issue 17, April 28, 2025.
Omnidirectional strain sensing is crucial in healthcare monitoring, human motion detection, and human‐machine interfaces. By mimicking the 3D structure of human fingers, this work introduces a novel heterogeneous substrate incorporating the involute of a circle which enables the device to achieve isotropic omnidirectional hypersensitive strain sensing ...
Muzi Xu   +6 more
wiley   +1 more source

Relation Between Glycated Hemoglobin Level and Hearing Loss in Type 2 Diabetic Patients

open access: yesJournal of International Advanced Otology
Background: Glycemic control and the efficacy of therapy in diabetic patients with type 2 diabetes during the previous 2-3 months are usually evaluated by measuring the glycated hemoglobin (HbA1c).
Mayada ElSherif   +3 more
doaj   +1 more source

Clarity: Machine Learning Challenges to Revolutionise Hearing Device Processing [PDF]

open access: yesarXiv, 2020
In the Clarity project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired challenges. Each pair will consist of a competition focussed on hearing-device processing ("enhancement") and another focussed on speech perception modelling ("prediction").
arxiv  

Interpreting Audiograms with Multi-stage Neural Networks [PDF]

open access: yesarXiv, 2021
Audiograms are a particular type of line charts representing individuals' hearing level at various frequencies. They are used by audiologists to diagnose hearing loss, and further select and tune appropriate hearing aids for customers. There have been several projects such as Autoaudio that aim to accelerate this process through means of machine ...
arxiv  

Individual differences in auditory brainstem response wave characteristics : relations to different aspects of peripheral hearing loss [PDF]

open access: yes, 2016
Little is known about how outer hair cell loss interacts with noise-induced and age-related auditory nerve degradation (i.e., cochlear synaptopathy) to affect auditory brainstem response (ABR) wave characteristics.
Ernst, Frauke   +3 more
core   +4 more sources

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

Report of rare and novel mutations in candidate genes in a cohort of hearing‐impaired patients

open access: yesMolecular Genetics & Genomic Medicine, 2022
Background Many hearing‐impaired patients carry mutations in rare or novel genes undetected in regular genetic hot regions/genes screening. Methods We collected clinical and genetic data from subjects with hearing loss who visited our department for ...
Min Liu   +4 more
doaj   +1 more source

Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP [PDF]

open access: yesIn 16th SITIS, pp. 308-315. IEEE, 2022
It is essential to understand the personal, behavioral, environmental, and other factors that correlate with optimal hearing aid fitting and hearing aid users' experiences in order to improve hearing loss patient satisfaction and quality of life, as well as reduce societal and financial burdens.
arxiv   +1 more source

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