Sleep Disorders at IgMin Research | Medicine Group
We focus on encouraging collaboration across disciplines to boost the expansion of knowledge.
About
Sleep Disorders encompass a wide range of medical conditions that disrupt normal sleep patterns, affecting physical, mental, and emotional health. This interdisciplinary field investigates the causes, consequences, and treatments for conditions such as insomnia, sleep apnea, narcolepsy, and restless leg syndrome. Sleep disorders research combines insights from neurology, psychology, and respiratory medicine to understand the complex mechanisms underlying sleep and its impact on overall well-being.
The study of Sleep Disorders is essential for advancing therapeutic strategies and improving quality of life. From innovative diagnostic tools like polysomnography to emerging treatments like cognitive-behavioral therapy for insomnia, the field is continually evolving. Researchers and clinicians in this domain work to unravel the links between sleep disturbances and chronic health conditions, offering hope for better management of these pervasive issues.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Wishful Thinking or Valuable Forecasts? The Value of Policy Rate Predictions in Sweden
- Adaptation of the Physical Literacy Scale for Adults into Turkish and Examination of its Psychometric Properties
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
