Literature DB >> 33172381

Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique.

Md Belal Bin Heyat1, Faijan Akhtar2, Masood Hasan Khan3, Najeeb Ullah4, Ijaz Gul5, Haroon Khan6, Dakun Lai1.   

Abstract

BACKGROUND: Lack of sleep generates many disorders and bruxism is one of them. It has affected almost 31% of the world population. AIM: The purpose of this paper is to determine the volume of the research conducted on bruxism and to create a database. We aimed to highlight critical issues for further research commitments and communications. This paper designs a comprehensive and very perception-based picture of bruxism disorder.
METHODS: The research-based work uses three methods, including a systematic mapping process, network visualization, and literature review. Softwares, such as VOSviewer, MATLAB, and MEGA- X, have been utilized to analyze the work. We have researched deep insights of information to retrieve the present understanding of bruxism disorder from dental to psychological concepts, from engineering detection to clinical treatment, and from temporomandibular disorder to biological genes.
RESULTS: We found 10 keywords and 77 items of bruxism in PubMed, Scopus, Google Scholar, and Web of Science databases based on previous publications. These keywords and items are helpful for all types of researchers, which include engineering, science, and medical background personals. 11 genes and 75 research articles with approximately 115,077 subjects, for the analysis of detection, treatment, child and adolescent bruxism, have been reviewed in the research work.
CONCLUSION: It has been found that bruxism altogether has sleep, neurological, dental, and genetic disorder components and is a complex phenomenon. This study has also mentioned the future direction and gap in research conducted so far on bruxism and has also tried to provide goals for the upcoming research to be accomplished in a more significant and scientific manner. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Adolescent; bruxism; children; diagnosis; genes; machine learning.

Mesh:

Year:  2021        PMID: 33172381     DOI: 10.2174/1871527319666201110124954

Source DB:  PubMed          Journal:  CNS Neurol Disord Drug Targets        ISSN: 1871-5273            Impact factor:   4.388


  8 in total

1.  Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network.

Authors:  Awais Khan Nawabi; Sheng Jinfang; Rashid Abbasi; Muhammad Shahid Iqbal; Md Belal Bin Heyat; Faijan Akhtar; Kaishun Wu; Baidenger Agyekum Twumasi
Journal:  Oxid Med Cell Longev       Date:  2022-05-26       Impact factor: 7.310

2.  Validation of Visually Identified Muscle Potentials during Human Sleep Using High Frequency/Low Frequency Spectral Power Ratios.

Authors:  Mo H Modarres; Jonathan E Elliott; Kristianna B Weymann; Dennis Pleshakov; Donald L Bliwise; Miranda M Lim
Journal:  Sensors (Basel)       Date:  2021-12-22       Impact factor: 3.576

3.  A Night-Time Monitoring System (eNightLog) to Prevent Elderly Wandering in Hostels: A Three-Month Field Study.

Authors:  James Chung-Wai Cheung; Eric Wing-Cheung Tam; Alex Hing-Yin Mak; Tim Tin-Chun Chan; Yong-Ping Zheng
Journal:  Int J Environ Res Public Health       Date:  2022-02-13       Impact factor: 3.390

4.  An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal.

Authors:  Hadaate Ullah; Md Belal Bin Heyat; Hussain AlSalman; Haider Mohammed Khan; Faijan Akhtar; Abdu Gumaei; Aaman Mehdi; Abdullah Y Muaad; Md Sajjatul Islam; Arif Ali; Yuxiang Bu; Dilpazir Khan; Taisong Pan; Min Gao; Yuan Lin; Dakun Lai
Journal:  J Healthc Eng       Date:  2022-04-12       Impact factor: 3.822

5.  Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal.

Authors:  Md Belal Bin Heyat; Faijan Akhtar; Syed Jafar Abbas; Mohammed Al-Sarem; Abdulrahman Alqarafi; Antony Stalin; Rashid Abbasi; Abdullah Y Muaad; Dakun Lai; Kaishun Wu
Journal:  Biosensors (Basel)       Date:  2022-06-17

6.  Role of Inflammation, Oxidative Stress, and Mitochondrial Changes in Premenstrual Psychosomatic Behavioral Symptoms with Anti-Inflammatory, Antioxidant Herbs, and Nutritional Supplements.

Authors:  Arshiya Sultana; Khaleequr Rahman; Md Belal Bin Heyat; Faijan Akhtar; Abdullah Y Muaad
Journal:  Oxid Med Cell Longev       Date:  2022-07-13       Impact factor: 7.310

Review 7.  Current Insights on Bioactive Molecules, Antioxidant, Anti-Inflammatory, and Other Pharmacological Activities of Cinnamomum camphora Linn.

Authors:  Mohamed Joonus Aynul Fazmiya; Arshiya Sultana; Khaleequr Rahman; Md Belal Bin Heyat; Faijan Akhtar; Salabat Khan; Seth Christopher Yaw Appiah
Journal:  Oxid Med Cell Longev       Date:  2022-10-07       Impact factor: 7.310

8.  An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal.

Authors:  Hadaate Ullah; Md Belal Bin Heyat; Faijan Akhtar; Abdullah Y Muaad; Md Sajjatul Islam; Zia Abbas; Taisong Pan; Min Gao; Yuan Lin; Dakun Lai
Journal:  Comput Intell Neurosci       Date:  2022-09-29
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.