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 25 articles obtained from databases such as IEEE Xplore, Scopus, SpringerLink, ScienceDirect, and SAGE. This review focused on studies addressing mHealth systems for outdoor emergency situations. In 60% of the articles, the deployment architecture relied in the connective infrastructure associated with emergent technologies such as cloud services, distributed services, Internet-of-things, machine-to-machine, vehicular ad hoc network, and service-oriented architecture. In 40% of the literature review, the deployment architecture for mHealth considered traditional connective infrastructure. Only 20% of the studies implemented an energy consumption protocol to extend system lifetime. We concluded that there is a need for more integrated solutions specifically for outdoor scenarios. Energy consumption protocols are needed to be implemented and evaluated. Emergent connective technologies are redefining the information management and overcome traditional technologies.

journal_name

J Healthc Eng

authors

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

doi

10.1155/2017/9186270

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

9186270

eissn

2040-2295

issn

2040-2309

journal_volume

2017

pub_type

杂志文章
  • 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

  • Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

    abstract:Purpose:To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clinics is proposed, which is trying to solve the problem like shortage of T...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/8812678

    authors: Luo Y,Lin B,Zhao S,He L,Wen C

    更新日期:2020-09-01 00:00:00

  • Potential of Electrospun Poly(3-hydroxybutyrate)/Collagen Blends for Tissue Engineering Applications.

    abstract::In this work, tunable nonwoven mats based on poly(3-hydroxybutyrate) (PHB) and type I collagen (Coll) were successfully produced by electrospinning. The PHB/Coll weight ratio (fixed at 100/0, 70/30, and 50/50, resp.) was found to control the morphological, thermal, mechanical, and degradation properties of the mats. I...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/6573947

    authors: Salvatore L,Carofiglio VE,Stufano P,Bonfrate V,Calò E,Scarlino S,Nitti P,Centrone D,Cascione M,Leporatti S,Sannino A,Demitri C,Madaghiele M

    更新日期:2018-04-19 00:00:00

  • Current Status and Prospects of Health-Related Sensing Technology in Wearable Devices.

    abstract::The healthcare-related functions of wearable devices are very useful for continuous monitoring of biological information. Wearable devices equipped with communication function can be used for additional healthcare services. Among the wearable devices, the wristband type is most suitable for acquiring biological signal...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章,评审

    doi:10.1155/2019/3924508

    authors: Cho J

    更新日期:2019-06-16 00:00:00

  • Handling Data Skew in MapReduce Cluster by Using Partition Tuning

    abstract::The healthcare industry has generated large amounts of data, and analyzing these has emerged as an important problem in recent years. The MapReduce programming model has been successfully used for big data analytics. However, data skew invariably occurs in big data analytics and seriously affects efficiency. To overco...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/1425102

    authors: Gao Y,Zhou Y,Zhou B,Shi L,Zhang J

    更新日期:2017-01-01 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

  • Scheduling Patients' Appointments: Allocation of Healthcare Service Using Simulation Optimization.

    abstract::In the service industry, scheduling medical procedures causes difficulties for both patients and management. Factors such as fluctuations in customer demand and service time affect the appointment scheduling systems' performance in terms of, for example, patients' waiting time, idle time of resources, and total cost/p...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.6.2.259

    authors: Chenl PS,Robielos RA,Palaña PK,Valencia PL,Chen GY

    更新日期:2015-01-01 00:00:00

  • 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

  • A robust electrode configuration for bioimpedance measurement of respiration.

    abstract::Electrode configuration is an important issue in the continuous measurement of respiration using impedance pneumography (IP). The robust configuration is usually confirmed by comparing the amplitude of the IP signals acquired with different electrode configurations, while the relative change in waveform and the effect...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.5.3.313

    authors: Wang HB,Yen CW,Liang JT,Wang Q,Liu GZ,Song R

    更新日期:2014-01-01 00:00:00

  • Retinal Mosaicking with Vascular Bifurcations Detected on Vessel Mask by a Convolutional Network.

    abstract::Mosaicking of retinal images is potentially useful for ophthalmologists and computer-aided diagnostic schemes. Vascular bifurcations can be used as features for matching and stitching of retinal images. A fully convolutional network model is employed to segment vascular structures in retinal images to detect vascular ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/7156408

    authors: Feng X,Cai G,Gou X,Yun Z,Wang W,Yang W

    更新日期:2020-01-09 00:00:00

  • Atrial Fibrillation Beat Identification Using the Combination of Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks.

    abstract::Atrial fibrillation (AF) is a serious cardiovascular disease with the phenomenon of beating irregularly. It is the major cause of variety of heart diseases, such as myocardial infarction. Automatic AF beat detection is still a challenging task which needs further exploration. A new framework, which combines modified f...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/2102918

    authors: Xu X,Wei S,Ma C,Luo K,Zhang L,Liu C

    更新日期:2018-07-02 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

  • Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation.

    abstract::Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring. In this paper, we generalize the process of a level set with a novel algorithm of dynamic regulation to energy functional parameters. The presented method is fully automatic once the...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/4321645

    authors: Deng Z,Guo Q,Zhu Z

    更新日期:2019-02-24 00:00:00

  • Automatic Detection of Brain Tumor on Computed Tomography Images for Patients in the Intensive Care Unit.

    abstract::Patients in the intensive care unit require fast and efficient handling, including in-diagnosis service. The objectives of this study are to produce a computer-aided system so that it can help radiologists to classify the types of brain tumors suffered by patients quickly and accurately; to build applications that can...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/2483285

    authors: Fahmi F,Apriyulida F,Nasution IK,Sawaluddin

    更新日期:2020-07-14 00:00:00

  • An Easily Customized Gesture Recognizer for Assisted Living Using Commodity Mobile Devices.

    abstract::Automatic gesture recognition is an important field in the area of human-computer interaction. Until recently, the main approach to gesture recognition was based mainly on real time video processing. The objective of this work is to propose the utilization of commodity smartwatches for such purpose. Smartwatches embed...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/3180652

    authors: Mezari A,Maglogiannis I

    更新日期:2018-07-19 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

  • Blood Glucose Level Prediction for Diabetics Based on Nutrition and Insulin Administration Logs Using Personalized Mathematical Models.

    abstract::According to recent surveys, the current ways of diabetics trying to estimate their insulin need based on experience and conjecture are sometimes inefficient in practice. This paper proposes a prediction algorithm and presents the validation of the model in outpatient care. The algorithm consists of two state-of-the-a...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/8605206

    authors: Gyuk P,Vassányi I,Kósa I

    更新日期:2019-01-10 00:00:00

  • Prediction of the Spinal Musculoskeletal Loadings during Level Walking and Stair Climbing after Two Types of Simulated Interventions in Patients with Lumbar Disc Herniation.

    abstract:Background:Low back pain (LBP) continues to be a severe global healthy problem, and a lot of patients would undergo conservative or surgical treatments. However, the improving capacity of spinal load sharing during activities of daily living (ADLs) after interventions is largely unknown. The objective of this study was...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/6406813

    authors: Kuai S,Guan X,Liu W,Ji R,Xiong J,Wang D,Zhou W

    更新日期:2019-12-17 00:00:00

  • Gentamicin Released from Porous Scaffolds Fabricated by Stereolithography.

    abstract::Porous oligolactide-hydroxyapatite composite scaffolds were obtained by stereolithographic fabrication. Gentamicin was then coated on the scaffolds afterwards, to achieve antimicrobial delivery ability to treat bone infection. The scaffolds examined by stereomicroscope, SEM, and μCT-scan showed a well-ordered pore str...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/9547896

    authors: Channasanon S,Udomkusonsri P,Chantaweroad S,Tesavibul P,Tanodekaew S

    更新日期:2017-01-01 00:00:00

  • Towards Optimal Platform-Based Robot Design for Ankle Rehabilitation: The State of the Art and Future Prospects.

    abstract::This review aims to compare existing robot-assisted ankle rehabilitation techniques in terms of robot design. Included studies mainly consist of selected papers in two published reviews involving a variety of robot-assisted ankle rehabilitation techniques. A free search was also made in Google Scholar and Scopus by us...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章,评审

    doi:10.1155/2018/1534247

    authors: Miao Q,Zhang M,Wang C,Li H

    更新日期:2018-03-15 00:00:00

  • 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...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/8871849

    authors: Lin PJ

    更新日期:2020-10-30 00:00:00

  • Perspectives of nanotechnology in minimally invasive therapy of breast cancer.

    abstract::Breast cancer, the most common type of cancer among women in the western world, affects approximately one out of every eight women over their lifetime. In recognition of the high invasiveness of surgical excision and severe side effects of chemical and radiation therapies, increasing efforts are made to seek minimally...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章,评审

    doi:10.1260/2040-2295.4.1.67

    authors: Yang Y,Wang H

    更新日期:2013-01-01 00:00:00

  • Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP.

    abstract::Numerous EEG-based brain-computer interface (BCI) systems that are being developed focus on novel feature extraction algorithms, classification methods and combining existing approaches to create hybrid BCIs. Several recent studies demonstrated various advantages of hybrid BCI systems in terms of an improved accuracy ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/3789386

    authors: Ko LW,Ranga SSK,Komarov O,Chen CC

    更新日期:2017-01-01 00:00:00

  • Semiautomatic Epicardial Fat Segmentation Based on Fuzzy c-Means Clustering and Geometric Ellipse Fitting.

    abstract::Automatic segmentation of particular heart parts plays an important role in recognition tasks, which is utilized for diagnosis and treatment. One particularly important application is segmentation of epicardial fat (surrounds the heart), which is shown by various studies to indicate risk level for developing various c...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/5817970

    authors: Zlokolica V,Krstanović L,Velicki L,Popović B,Janev M,Obradović R,Ralević NM,Jovanov L,Babin D

    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 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

  • An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset.

    abstract::To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) beat plays a significant role in computer-aided arrhythmia diagnosis systems. However, the complex variations and imbalance of ECG beats make this a challenging issue. Since ECG beat data exist in heavily imbalanced catego...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2019/6320651

    authors: Gao J,Zhang H,Lu P,Wang Z

    更新日期:2019-10-13 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

  • An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums.

    abstract::Online healthcare forums (OHFs) have become increasingly popular for patients to share their health-related experiences. The healthcare-related texts posted in OHFs could help doctors and patients better understand specific diseases and the situations of other patients. To extract the meaning of a post, a commonly use...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/2460174

    authors: Gao J,Liu N,Lawley M,Hu X

    更新日期:2017-01-01 00:00:00

  • Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches.

    abstract::The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis and the body's sensitivity to other hormones and use of energy sources. Hence, it is of prime importance to track the shape and size of thyroid over time in order to eva...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/8087624

    authors: Poudel P,Illanes A,Sheet D,Friebe M

    更新日期:2018-09-23 00:00:00