The Application Method of Nanobubble Conveyor on the Effect of Preventive Oral Hygiene.

Abstract:

:There are various methods to generate nanobubbles, and in this study, we experimented using a nanobubble generator with a high-density of stainless steel mesh nozzle to deliver nanobubble water (normal water and two kinds of mouthwash) stream through a tooth tray to clean bacteria coated on the denture. It showed that with various combinations of motor speed settings and pore diameters, a clearing rate of 95% or more could be achieved, while in some combinations, a clearing rate of 100% was possible. This confirmed the plaque removing the function of the nanobubble water streams. The motor speed setting of the nanobubble generator directly influenced the flow velocity and nanobubble diameter of the water stream. However, the nanobubble dimensions were found to have a significant impact on plaque removal. The bubble diameters and plaque removal efficacy were as follows: the smaller the diameter, the slower the flow velocity and the better the plaque removal. The nanobubble formation of mouthwash was better on plaque removal, compared with the soaking method. From these results, we theorized that plaque removal is influenced by the dimension of nanobubbles; smaller bubble diameter led to improved plaque removal efficacy.

journal_name

J Healthc Eng

authors

Lin PJ

doi

10.1155/2020/8871849

subject

Has Abstract

pub_date

2020-10-30 00:00:00

pages

8871849

eissn

2040-2295

issn

2040-2309

journal_volume

2020

pub_type

杂志文章
  • An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis.

    abstract::Cataract is one of the leading causes of blindness in the world's population. A method to evaluate blurriness for cataract diagnosis in retinal images with vitreous opacity is proposed in this paper. Three types of features are extracted, which include pixel number of visible structures, mean contrast between vessels ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/5645498

    authors: Xiong L,Li H,Xu L

    更新日期:2017-01-01 00:00:00

  • Wearable Sensors Integrated with Virtual Reality: A Self-Guided Healthcare System Measuring Shoulder Joint Mobility for Frozen Shoulder.

    abstract::Frozen shoulder is a common clinical shoulder condition. Measuring the degree of shoulder joint movement is crucial to the rehabilitation process. Such measurements can be used to evaluate the severity of patients' condition, establish rehabilitation goals and appropriate activity difficulty levels, and understand the...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/7681237

    authors: Cui J,Yeh SC,Lee SH

    更新日期:2019-04-10 00:00:00

  • Evaluation of postprandial glucose excursion using a novel minimally invasive glucose area-under-the-curve monitoring system.

    abstract:OBJECTIVE:To develop a minimally invasive interstitial fluid extraction technology (MIET) to monitor postprandial glucose area under the curve (AUC) without blood sampling, we evaluated the accuracy of glucose AUC measured by MIET and compared with that by blood sampling after food intake. METHODS:Interstitial fluid g...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.4.4.529

    authors: Kuranuki S,Sato T,Okada S,Hosoya S,Seko A,Sugihara K,Nakamura T

    更新日期:2013-01-01 00:00:00

  • Removal of Arterial Vessel Contributions in Susceptibility-Weighted Images for Quantification of Normalized Visible Venous Volume in Children with Sickle Cell Disease

    abstract:Purpose:To evaluate a new postprocessing framework that eliminates arterial vessel signal contributions in the quantification of normalized visible venous volume (NVVV, a ratio between venous and brain volume) in susceptibility-weighted imaging (SWI) exams in patients with sickle cell disease (SCD). Materials and Meth...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/5369385

    authors: Winchell AM,Song R,Loeffler RB,Wang WC,Hankins JS,Helton KJ,Hillenbrand CM

    更新日期:2017-01-01 00:00:00

  • Fully Automatic Segmentation and Three-Dimensional Reconstruction of the Liver in CT Images.

    abstract::Automatic segmentation and three-dimensional reconstruction of the liver is important for liver disease diagnosis and surgical treatment. However, the shape of the imaged 2D liver in each CT image changes dramatically across the slices. In all slices, the imaged 2D liver is connected with other organs, and the connect...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/6797102

    authors: Wang Z,Zhang C,Jiao T,Gao M,Zou G

    更新日期:2018-11-18 00:00:00

  • Measuring and Training Speech-Language Pathologists' Orofacial Cueing: A Pilot Demonstration.

    abstract::Tactile-kinesthetic-proprioceptive (TKP) input used to facilitate speech motor control is considered an active ingredient within speech motor interventions. Objective metrics identifying skill level differences across speech-language pathologists (S-LP) providing TKP cues are crucial for monitoring treatment delivery ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/4323046

    authors: Namasivayam AK,Bali R,Ward R,Tieu KD,Yan T,Hayden D,van Lieshout P

    更新日期:2018-12-31 00:00:00

  • A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

    abstract::Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with traditional models. However, no models that contain comprehensive risk f...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/8847144

    authors: Zhong J,Liu P,Li S,Huang X,Zhang Q,Huang J,Guo Y,Chen M,Ruan Z,Qin C,Xu L

    更新日期:2020-07-30 00:00:00

  • A New Intelligent Medical Decision Support System Based on Enhanced Hierarchical Clustering and Random Decision Forest for the Classification of Alcoholic Liver Damage, Primary Hepatoma, Liver Cirrhosis, and Cholelithiasis.

    abstract::Diagnosis of liver disease principally depends on physician's subjective knowledge. Automatic prediction of the disease is a critical real-world medical problem. This work presents an EHC-ERF-based intelligence-integrated model purposive to predict different types of liver disease including alcoholic liver damage, pri...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/1469043

    authors: Singh A,Pandey B

    更新日期:2018-02-01 00:00:00

  • Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution.

    abstract::This study aimed to forecast the pattern of the demand for hemorrhagic stroke healthcare services based on air quality and machine learning. Hemorrhagic stroke, air quality, and meteorological data for 2016-2017 were obtained from the Longquanyi District of China, and the study included 1932 cases. Six machine learnin...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/7463242

    authors: Chen J,Li H,Luo L,Zhang Y,Zhang F,Chen F,Chen M

    更新日期:2019-11-03 00:00:00

  • Frame-Based CT Image Reconstruction via the Balanced Approach.

    abstract::Frame-based regularization method as one kind of sparsity representation method has been developed in recent years and has been proved to be an efficient method for CT image reconstruction. However, most of the developed CT image reconstruction methods are analysis-based frame methods. This paper proposes a novel fram...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/1417270

    authors: Zhou W,Xiang H

    更新日期:2017-01-01 00:00:00

  • Sensory Electrical Stimulation Cueing May Reduce Freezing of Gait Episodes in Parkinson's Disease.

    abstract:Introduction:Freezing of gait (FoG) is a movement abnormality that presents with advancing Parkinson's disease (PD) and is one of the most debilitating symptoms of the disease. The mainstay of nonpharmacological management of FoG is typically through external cueing techniques designed to relieve or prevent the freezin...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/4684925

    authors: Rosenthal L,Sweeney D,Cunnington AL,Quinlan LR,ÓLaighin G

    更新日期:2018-08-01 00:00:00

  • Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE.

    abstract::A method based on measurement correlation (MC) and linear minimum mean square error (LMMSE) for multichannel surface electromyography (sEMG) signal decomposition was developed in this study. This MC-LMMSE method gradually and iteratively increases the correlation between an optimized vector and a reconstructed matrix ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/2347589

    authors: Ning Y,Zhao Y,Juraboev A,Tan P,Ding J,He J

    更新日期:2018-06-28 00:00:00

  • Functional and Structural Plasticity of Brain in Elite Karate Athletes.

    abstract::The structural and functional neural differences between the elite karate athletes and control group have been investigated in the concept of this study. 13 elite karate athletes and age-gender matched 13 volunteers who have not performed regular exercises participated in the study. Magnetic resonance imaging was used...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/8310975

    authors: Duru AD,Balcioglu TH

    更新日期:2018-10-23 00:00:00

  • Real-Time EEG Signal Enhancement Using Canonical Correlation Analysis and Gaussian Mixture Clustering.

    abstract::Electroencephalogram (EEG) signals are usually contaminated with various artifacts, such as signal associated with muscle activity, eye movement, and body motion, which have a noncerebral origin. The amplitude of such artifacts is larger than that of the electrical activity of the brain, so they mask the cortical sign...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/5081258

    authors: Lin CT,Huang CS,Yang WY,Singh AK,Chuang CH,Wang YK

    更新日期:2018-01-15 00:00:00

  • A Numerical Investigation into the Effects of Overweight and Obesity on Total Knee Arthroplasty.

    abstract::Overweight and obesity increase risks of knee osteoarthritis, which is a major cause of disability. Severe knee osteoarthritis can be treated by knee arthroplasty. Total knee arthroplasty has been used in overweight and obese patients; however, clinical reports showed that the outcome of this group of patients was not...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/1496379

    authors: Wang C,Guo Y,Shi J,Chen W

    更新日期:2017-01-01 00:00:00

  • Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome.

    abstract::In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally normal everywhere throughout the world. It has been found that liver disease is exposed more in young people as a comparison with other aged people. At the point when liver capacity ends up, life endures just up to 1 or 2 days...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/6680002

    authors: Naseem R,Khan B,Shah MA,Wakil K,Khan A,Alosaimi W,Uddin MI,Alouffi B

    更新日期:2020-12-12 00:00:00

  • Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

    abstract::For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predict LOS for inpatients with one of the three primary diagnoses: corona...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2016/7035463

    authors: Tsai PF,Chen PC,Chen YY,Song HY,Lin HM,Lin FM,Huang QP

    更新日期:2016-01-01 00:00:00

  • Fall Prevention Shoes Using Camera-Based Line-Laser Obstacle Detection System.

    abstract::Fall prevention is an important issue particularly for the elderly. This paper proposes a camera-based line-laser obstacle detection system to prevent falls in the indoor environment. When obstacles are detected, the system will emit alarm messages to catch the attention of the user. Because the elderly spend a lot of...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/8264071

    authors: Lin TH,Yang CY,Shih WP

    更新日期:2017-01-01 00:00:00

  • Model of Murine Ventricular Cardiac Tissue for In Vitro Kinematic-Dynamic Studies of Electromagnetic and β-Adrenergic Stimulation.

    abstract::In a model of murine ventricular cardiac tissue in vitro, we have studied the inotropic effects of electromagnetic stimulation (frequency, 75 Hz), isoproterenol administration (10 μM), and their combination. In particular, we have performed an image processing analysis to evaluate the kinematics and the dynamics of be...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/4204085

    authors: Fassina L,Cornacchione M,Pellegrini M,Mognaschi ME,Gimmelli R,Isidori AM,Lenzi A,Magenes G,Naro F

    更新日期:2017-01-01 00:00:00

  • A Systematic Review on Recent Advances in mHealth Systems: Deployment Architecture for Emergency Response.

    abstract::The continuous technological advances in favor of mHealth represent a key factor in the improvement of medical emergency services. This systematic review presents the identification, study, and classification of the most up-to-date approaches surrounding the deployment of architectures for mHealth. Our review includes...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/9186270

    authors: Gonzalez E,Peña R,Avila A,Vargas-Rosales C,Munoz-Rodriguez D

    更新日期:2017-01-01 00:00:00

  • Effects of Exercise on EEG Activity and Standard Tools Used to Assess Concussion.

    abstract::A variety of cognitive assessment tools are used to determine the functional status of the brain before and after injury in athletes. Questionnaires, neuropsychological tests, and electroencephalographic (EEG) measures have been recently used to directly assess brain function on and near the playing field. However, ex...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/4794637

    authors: Devilbiss DM,Etnoyer-Slaski JL,Dunn E,Dussourd CR,Kothare MV,Martino SJ,Simon AJ

    更新日期:2019-04-30 00:00:00

  • Twin SVM-Based Classification of Alzheimer's Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA.

    abstract::Alzheimer's disease (AD) is a leading cause of dementia, which causes serious health and socioeconomic problems. A progressive neurodegenerative disorder, Alzheimer's causes the structural change in the brain, thereby affecting behavior, cognition, emotions, and memory. Numerous multivariate analysis algorithms have b...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/8750506

    authors: Alam S,Kwon GR,Kim JI,Park CS

    更新日期:2017-01-01 00:00:00

  • Accuracy of plantar electrodes compared with hand and foot electrodes in fat-free-mass measurement.

    abstract::This paper investigates the measurement of fat-free mass (FFM) by bioimpedance using foot-to-foot impedancemeters (FFI) with plantar electrodes measuring the foot-to-foot resistance R34 and hand-to-foot medical impedancemeters. FFM measurements were compared with corresponding data using Dual X-ray absorptiometry (DXA...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.5.2.123

    authors: Jaffrin MY,Bousbiat S

    更新日期:2014-01-01 00:00:00

  • Applying Human Factors Engineering Methods for Risk Assessment of a Neonatal Incubator.

    abstract::This research aimed to find main users, frequent utilized tasks, major usability problems, and the context of use of a neonatal incubator (NI) present in a neonatal intensive care unit from a Brazilian hospital and to find out the problems faced by a new user. The chosen methods were the heuristics analysis, contextua...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/8589727

    authors: Ribeiro Custódio RA,Trzesniak C,Pinto Ribeiro Miranda R,Donda Angelini GH,Bordón JS,Santos Vieira LC,Pereira Mello CH

    更新日期:2019-01-06 00:00:00

  • DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation.

    abstract::Medical image segmentation is one of the hot issues in the related area of image processing. Precise segmentation for medical images is a vital guarantee for follow-up treatment. At present, however, low gray contrast and blurred tissue boundaries are common in medical images, and the segmentation accuracy of medical ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/8597606

    authors: Teng L,Li H,Karim S

    更新日期:2019-12-26 00:00:00

  • A Lightweight Internet Sharing Scheme for Sectional Medical Images according to Existing Hospital Network Facilities and Basic Information Security Rules.

    abstract:Background:With the outbreak of COVID-19, large-scale telemedicine applications can play an important role in the epidemic areas or less developed areas. However, the transmission of hundreds of megabytes of Sectional Medical Images (SMIs) from hospital's Intranet to the Internet has the problems of efficiency, cost, a...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/8838390

    authors: Qiao L,Wu H,Wu Y,Wu W,Yang J,Nian Y,Chen M,Bai S,Huang H,Qiu M

    更新日期:2020-12-04 00:00:00

  • Inertial Sensor-Based Motion Analysis of Lower Limbs for Rehabilitation Treatments

    abstract::The hemiplegic rehabilitation state diagnosing performed by therapists can be biased due to their subjective experience, which may deteriorate the rehabilitation effect. In order to improve this situation, a quantitative evaluation is proposed. Though many motion analysis systems are available, they are too complicate...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/1949170

    authors: Sun T,Li H,Liu Q,Duan L,Li M,Wang C,Liu Q,Li W,Shang W,Wu Z,Wang Y

    更新日期:2017-01-01 00:00:00

  • A Novel Method to Quantify Longitudinal Orthodontic Bone Changes with In Vivo Micro-CT Data.

    abstract::Orthodontic tooth movement (OTM) is the result of region-specific bone modeling under a load. Quantification of this change in the alveolar bone around a tooth is a basic requirement to understand the mechanism of orthodontics. The purpose of this study was to quantify subregional alveolar bone changes during orthodon...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/1651097

    authors: Wang C,Cao L,Yang C,Fan Y

    更新日期:2018-10-01 00:00:00

  • An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space.

    abstract::Wireless capsule endoscopy (WCE) is an effective video technology to diagnose gastrointestinal (GI) disease, such as bleeding. In order to avoid conventional tedious and risky manual review process of long duration WCE videos, automatic bleeding detection schemes are getting importance. In this paper, to investigate b...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/9423062

    authors: Kundu AK,Fattah SA,Rizve MN

    更新日期:2018-02-25 00:00:00

  • Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera.

    abstract:Background:Heart rate variability (HRV) provides information about the activity of the autonomic nervous system. Because of the small amount of data collected, the importance of HRV has not yet been proven in clinical practice. To collect population-level data, smartphone applications leveraging photoplethysmography (P...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/4038034

    authors: Bánhalmi A,Borbás J,Fidrich M,Bilicki V,Gingl Z,Rudas L

    更新日期:2018-02-05 00:00:00