Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone.

Abstract:

Background:Utilization of the widely used wearable sensor and smartphone technology for remote monitoring represents a healthcare breakthrough. This study aims to design a remote real-time monitoring system for multiple physiological parameters (electrocardiogram, heart rate, respiratory rate, blood oxygen saturation, and temperature) based on smartphones, considering high performance, autoalarm generation, warning transmission, and security through more than one method. Methods:Data on monitoring parameters were acquired by the integrated circuits of wearable sensors and collected by an Arduino Mega 250 R3. The collected data were transmitted via a Wi-Fi interface to a smartphone. A patient application was developed to analyze, process, and display the data in numerical and graphical forms. The abnormality threshold values of parameters were identified and analyzed to generate an autoalarm in the system and transmitted with data to a doctor application via a third-generation (3G) mobile network and Wi-Fi. The performance of the proposed system was verified and evaluated. The proposed system was designed to meet main (sensing, processing, displaying, real-time transmission, autoalarm generation, and threshold value identification) and auxiliary requirements (compatibility, comfort, low power consumption and cost, small size, and suitability for ambulatory applications). Results:System performance is reliable, with a sufficient average accuracy measurement (99.26%). The system demonstrates an average time delay of 14 s in transmitting data to a doctor application via Wi-Fi compared with an average time of 68 s via a 3G mobile network. The proposed system achieves low power consumption against time (4 h 21 m 30 s) and the main and auxiliary requirements for remotely monitoring multiple parameters simultaneously with secure data. Conclusions:The proposed system can offer economic benefits for remotely monitoring patients living alone or in rural areas, thereby improving medical services, if manufactured in large quantities.

journal_name

J Healthc Eng

authors

Al-Naggar NQ,Al-Hammadi HM,Al-Fusail AM,Al-Shaebi ZA

doi

10.1155/2019/5674673

subject

Has Abstract

pub_date

2019-11-19 00:00:00

pages

5674673

eissn

2040-2295

issn

2040-2309

journal_volume

2019

pub_type

杂志文章
  • 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 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

  • 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

  • Integration of Value Stream Map and Healthcare Failure Mode and Effect Analysis into Six Sigma Methodology to Improve Process of Surgical Specimen Handling.

    abstract::Specimen handling is a critical patient safety issue. Problematic handling process, such as misidentification (of patients, surgical site, and specimen counts), specimen loss, or improper specimen preparation can lead to serious patient harms and lawsuits. Value stream map (VSM) is a tool used to find out non-value-ad...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.6.3.377

    authors: Hung SH,Wang PC,Lin HC,Chen HY,Su CT

    更新日期:2015-01-01 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

  • An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images.

    abstract::In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic three-dimensional (3D) liver vessel segmentation in computed tomography (CT) images. The vessel-enhanced image (i.e., vesselness image) was incorporated into the fuzzy affinity function of FC, rather than the intensity image used by ...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/2376317

    authors: Zhang R,Zhou Z,Wu W,Lin CC,Tsui PH,Wu S

    更新日期:2018-10-29 00:00:00

  • Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

    abstract::The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple categories of tuberculosis lesions in chest radiographs. In this system,...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2020/9205082

    authors: Xie Y,Wu Z,Han X,Wang H,Wu Y,Cui L,Feng J,Zhu Z,Chen Z

    更新日期:2020-08-24 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

  • A Fast SVM-Based Tongue's Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis.

    abstract::In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye's ability to capture the exact colou...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/7460168

    authors: Kamarudin ND,Ooi CY,Kawanabe T,Odaguchi H,Kobayashi F

    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

  • 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

  • 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

  • Portable Near-Infrared Technologies and Devices for Noninvasive Assessment of Tissue Hemodynamics.

    abstract::Tissue hemodynamics, including the blood flow, oxygenation, and oxygen metabolism, are closely associated with many diseases. As one of the portable optical technologies to explore human physiology and assist in healthcare, near-infrared diffuse optical spectroscopy (NIRS) for tissue oxygenation measurement has been d...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章,评审

    doi:10.1155/2019/3750495

    authors: Hou L,Liu Y,Qian L,Zheng Y,Gao J,Cao W,Shang Y

    更新日期:2019-02-12 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

  • 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

  • Detection of Heart Rate through a Wall Using UWB Impulse Radar.

    abstract::Measuring the physiological functions of the human body in a noncontact manner through walls is useful for healthcare, security, and surveillance. And radar technology can be used for this purpose. In this paper, a new method for detecting the human heartbeat using ultra wideband (UWB) impulse radar, which has advanta...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/4832605

    authors: Cho HS,Park YJ

    更新日期:2018-04-01 00:00:00

  • Experimental feasibility study of estimation of the normalized central blood pressure waveform from radial photoplethysmogram.

    abstract::The feasibility of a novel system to reliably estimate the normalized central blood pressure (CBPN) from the radial photoplethysmogram (PPG) is investigated. Right-wrist radial blood pressure and left-wrist PPG were simultaneously recorded in five different days. An industry-standard applanation tonometer was employed...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1260/2040-2295.6.1.121

    authors: Zahedi E,Sohani V,Ali MA,Chellappan K,Beng GK

    更新日期:2015-01-01 00:00:00

  • Social Robotics in Therapy of Apraxia of Speech.

    abstract::Apraxia of speech is a motor speech disorder in which messages from the brain to the mouth are disrupted, resulting in an inability for moving lips or tongue to the right place to pronounce sounds correctly. Current therapies for this condition involve a therapist that in one-on-one sessions conducts the exercises. Ou...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/7075290

    authors: Castillo JC,Álvarez-Fernández D,Alonso-Martín F,Marques-Villarroya S,Salichs MA

    更新日期:2018-03-11 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

  • 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

  • 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

  • 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

  • The Biomechanical Study of Extraforaminal Lumbar Interbody Fusion: A Three-Dimensional Finite-Element Analysis.

    abstract:OBJECTIVE:Finite-element method was used to evaluate biomechanics stability of extraforaminal lumbar interbody fusion (ELIF) under different internal fixation. METHODS:The L3-L5 level finite-element model was established to simulate decompression and internal fixation at L4-L5 segment. The intact finite model was trea...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2017/9365068

    authors: Yang M,Sun G,Guo S,Zeng C,Yan M,Han Y,Xia D,Zhang J,Li X,Xiang Y,Pan J,Li L,Tan J

    更新日期:2017-01-01 00:00:00

  • An Application for Skin Macules Characterization Based on a 3-Stage Image-Processing Algorithm for Patients with Diabetes.

    abstract::Diabetic skin manifestations, previous to ulcers and wounds, are not highly accounted as part of diagnosis even when they represent the first symptom of vascular damage and are present in up to 70% of patients with diabetes mellitus type II. Here, an application for skin macules characterization based on a three-stage...

    journal_title:Journal of healthcare engineering

    pub_type: 杂志文章

    doi:10.1155/2018/9397105

    authors: Toledo Peral CL,Ramos Becerril FJ,Vega Martínez G,Vera Hernández A,Leija Salas L,Gutiérrez Martínez J

    更新日期:2018-12-16 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

  • 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

  • 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

  • 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

  • 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

  • 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