Abstract
Obstructive Sleep Apnea is a kind of sleep syndrome, which has an adverse effect on both the health, and quality of life of an individual. It results in severe health problems like hypertension, stroke and many cardiovascular issues. Only a very less percentage of persons with Obstructive Sleep Apnea are diagnosed and treated. This is due to the lack of available devices and technology. Detection of this sleep disorder is extremely important, as negligence can prove fatal. Hence, the critical need in healthcare is the instantaneous monitoring of this disorder. The current approaches for detecting this disorder are very expensive, bulky and intrusive which in turn will affect the sleep quality of patients. So there is a necessity to design less expensive, light-weight non-intrusive systems to diagnose these sleep-related issues. In this paper, the various noninvasive schemes using sensors and Internet-of-Things to detect Obstructive Sleep Apnea are reviewed. Further, the open research issues and challenges in detecting Obstructive Sleep Apnea are presented.
Keywords: Apnea hypopnea index, health care, internet of things, monitoring and control, obstructive sleep apnea, smart sensors.
International Journal of Sensors, Wireless Communications and Control
Title:Detection of Obstructive Sleep Apnea Using Internet of Things: A Review
Volume: 11 Issue: 3
Author(s): Sandhya M.K.*, Sathya Priya S. and Prasidh S.
Affiliation:
- Department of Computer Science and Engineering, Meenakshi Sundararajan Engineering College, Chennai,India
Keywords: Apnea hypopnea index, health care, internet of things, monitoring and control, obstructive sleep apnea, smart sensors.
Abstract: Obstructive Sleep Apnea is a kind of sleep syndrome, which has an adverse effect on both the health, and quality of life of an individual. It results in severe health problems like hypertension, stroke and many cardiovascular issues. Only a very less percentage of persons with Obstructive Sleep Apnea are diagnosed and treated. This is due to the lack of available devices and technology. Detection of this sleep disorder is extremely important, as negligence can prove fatal. Hence, the critical need in healthcare is the instantaneous monitoring of this disorder. The current approaches for detecting this disorder are very expensive, bulky and intrusive which in turn will affect the sleep quality of patients. So there is a necessity to design less expensive, light-weight non-intrusive systems to diagnose these sleep-related issues. In this paper, the various noninvasive schemes using sensors and Internet-of-Things to detect Obstructive Sleep Apnea are reviewed. Further, the open research issues and challenges in detecting Obstructive Sleep Apnea are presented.
Export Options
About this article
Cite this article as:
M.K. Sandhya*, S. Priya Sathya and S. Prasidh , Detection of Obstructive Sleep Apnea Using Internet of Things: A Review, International Journal of Sensors, Wireless Communications and Control 2021; 11 (3) . https://dx.doi.org/10.2174/2210327910999200525165339
DOI https://dx.doi.org/10.2174/2210327910999200525165339 |
Print ISSN 2210-3279 |
Publisher Name Bentham Science Publisher |
Online ISSN 2210-3287 |
Call for Papers in Thematic Issues
Federated learning for biomedical applications
Federated learning, also known as distributed AI/machine learning, is a method that enables cooperative learning from big datasets owned by several parties without compromising the privacy of each person's raw data. FL is especially helpful when the needed information is not open source or easily accessible due to tactical or ...read more
Information, Trust, and Risk: Exploring the Intersection of Sensing, Wireless Communications, and Control
Sensing technologies, wireless communications, and control systems are becoming ubiquitous in our daily lives, with the potential to enhance and streamline many aspects of modern society. However, this also creates new challenges in terms of ensuring trust and managing risks associated with the use of these technologies. The sheer volume ...read more
Machine Learning for Industry 4.0 manufacturing applications
This thematic issue will focus on the intersection of Machine Learning and the manufacturing industry within the context of Industry 4.0. Industry 4.0 involves the use of smart sensors, devices, and machines to enable the creation of smart factories that constantly collect data related to production. Machine Learning techniques can ...read more
Next-Generation Network Architecture, Algorithms, and Security
Design of new network architectures, algorithms and protocols is one of the fundamental challenges in next-generation networking. To this end, novel networking techniques and applications are required for advancing today?s complex communication networks. This thematic issue provides researchers, industry professionals and practitioners with a forum to present the latest research ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Molecular Mechanisms of Impaired Endothelial Function Associated with Insulin Resistance
Current Drug Targets - Cardiovascular & Hematological Disorders TRIM65 in White Matter Lesions, Innate Immunity, and Tumor
Current Molecular Pharmacology Risk Factors for Cardiovascular Disease in Psoriasis: Relation to Inflammation Assessed by the Severity and Duration of Illness
Inflammation & Allergy - Drug Targets (Discontinued) Role of ERK1/2 Activation In Thrombin-Induced Vascular Smooth Muscle Cell Hypertrophy
Current Hypertension Reviews Hypertension in the Elderly: An Evidence-based Review
Current Pharmaceutical Design The Development of Topically Acting Carbonic Anhydrase Inhibitors as Antiglaucoma Agents
Current Topics in Medicinal Chemistry Review of Evidence and Perspectives of Flavonoids on Metabolic Syndrome and Neurodegenerative Disease
Protein & Peptide Letters Lipoxins, The Novel Mediators of Gastroprotection and Gastric Adaptation to Ulcerogenic action of Aspirin
Current Pharmaceutical Design Biomarkers in the Evaluation and Management of Idiopathic Pulmonary Fibrosis
Current Topics in Medicinal Chemistry Inducible Nitric Oxide Synthase as a Possible Target in Hypertension
Current Drug Targets Fish Hydrolysates: A Regulatory Perspective of Bioactive Peptides
Protein & Peptide Letters The Large and Growing Burden of Stroke
Current Drug Targets Herbal Medicine for Slowing Aging and Cardiovascular Risk: Mechanisms and Safety
Current Vascular Pharmacology Hyperpolarized Metabolic MR in the Study of Cardiac Function and Disease
Current Pharmaceutical Design Angiotensin Peptides and Lung Cancer
Current Cancer Drug Targets Editorial
Current Hypertension Reviews Cell-free DNA: Characteristics, Detection and its Applications in Myocardial Infarction
Current Pharmaceutical Design Biomarkers of Subclinical Atherosclerosis and Natural Products as Complementary Alternative Medicine
Current Pharmaceutical Design Lock Stock and Barrel of Wound Healing
Current Pharmaceutical Design Uric Acid and Hypertension
Current Pharmaceutical Design