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PubMed Journals Articles About "Smartphone Application-Based Vital Sign Monitors" RSS

10:58 EST 17th November 2019 | BioPortfolio

Smartphone Application-Based Vital Sign Monitors PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Smartphone Application-Based Vital Sign Monitors articles that have been published worldwide.

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Showing "Smartphone Application Based Vital Sign Monitors" PubMed Articles 1–25 of 39,000+

Optical extra-body communication using smartphone cameras for human vital sign transmission.

This paper presents an optical extra-body communication (OEBC) for the transmission of human vital signs in an optical camera communication link. The primary vital signs, such as pulse rate, respiratory rate, body temperature, blood pressure, and peripheral capillary oxygen saturation, are captured from the patient's body. The proposed OEBC system has body sensors installed on various parts of the body for detecting, processing, and communicating the vital sign data. A light-emitting diode (LED) hub is a 4...


A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum.

Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting "outliers".

Smart Trauma: Improving the Delivery of Evidence-Based Trauma Care.

Mobile technology can aid in healthcare decision-making at the point of care. We created a Web-based trauma-specific smartphone application containing links to local protocols and national organization guidelines for trauma providers. We hypothesized that smartphone access to these guidelines would facilitate application of knowledge in a timely fashion.


Associations Between the Physical Activity Vital Sign and Cardiometabolic Risk Factors in High-Risk Youth and Adolescents.

The physical activity vital sign (PAVS) is a simple, validated tool for assessing physical activity in adults that has not been previously studied in pediatrics.

Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases.

Endemic areas for soil-transmitted helminthiases often lack the tools and trained personnel necessary for point-of-care diagnosis. This study pilots the use of smartphone microscopy and an artificial neural network-based object detection application named Kankanet to address those two needs.

Evaluation of a Free Public Smartphone Application to Detect Leukocoria in High-Risk Children Aged 1 to 6 Years.

To determine whether a white-eye detector smartphone application (app) can be used as a screening tool to detect early signs of leukocoria in a clinical practice.

Noncontact RF Vital Sign Sensor for Continuous Monitoring of Driver Status.

In this paper, a radio frequency (RF) vital sign sensor based on double voltage-controlled oscillators (VCOs) combined with a switchable phase-locked loop (PLL) is proposed for a noncontact remote vital sign sensing system. Our sensing system primarily detects the periodic movements of the human lungs and the hearts via the impedance variation of the resonator. With a change in impedance, both the VCO oscillation frequency and the PLL feedback voltage also change. Thus, by tracking the feedback voltage of t...

Patient acceptability of wearable vital sign monitoring technologies in the acute care setting: a systematic review.

To examine patient acceptability of wearable vital sign monitoring devices in the acute setting.

The false vital sign: When pain levels are not predictive of discharge opioid prescriptions.

Pain gained recognition as a vital sign in the early 2000s, underscoring the importance of accurate documentation, characterization, and treatment of pain. No prior studies have demonstrated the utility of the 0-10 pain scale with respect to discharge opioid prescriptions, nor characterized the most influential factors in discharge prescriptions.

Sunlight based handheld smartphone spectrometer.

We present a sunlight based handheld smartphone spectrometer. The device first gathers the sunlight to pass through the sample, and then the transmitted light illuminates on a grating to generate spectrum finally recorded by the smartphone monochrome camera. All the optical elements are assembled with the smartphone to integrate a handheld device with the size of 140.2 mm × 67.4 mm × 80.5 mm. Besides, a smartphone application is also developed for automatic spectral calibration, detection, a...

Pulse oximetry and the enduring neglect of respiratory rate assessment: a commentary on patient surveillance.

Clinical surveillance provides essential data on changes in a patient's condition. The common method for performing this surveillance is the assessment of vital signs. Despite the importance of these signs, research has found that vital signs are not rigorously assessed in clinical practice. Respiratory rate, arguably the most important vital sign, is the most neglected. Poor understanding might contribute to nurses incorrectly valuing oxygen saturation more than respiratory rate. Nurses need to understand ...

Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.

Machine learning algorithms achieve expert level accuracy in skin lesion classification based on clinical images. However, it is not yet shown whether these algorithms could have high accuracy when embedded in a smartphone app, where image quality is lower and there is high variability in image taking scenarios by users. In the past, these applications were criticized due to lack of accuracy.

Smartphone Aided Quantification of Iridocorneal Angle.

As the upgrading smartphone technology revolutionizes the field of Ophthalmic imaging, we put forward one more of its novel application. This article presents the possibility of iridocorneal angle estimation (ICA) through smartphone-captured images. Such measured inferior ICA (at 6'o clock position) was comparable to the anterior segment optical coherence tomography (ASOCT) measured trabecular iris angle at 500▒μ (TIA500) at 270° (P=0.06). They both had an excellent positive correlation (rho 0.81, P

Temperament profile and its association with the vulnerability to smartphone addiction of medical students in Indonesia.

Two dimensions of temperament, namely, (high levels of) novelty seeking and (low levels of) harm avoidance are related to substance addictions. However, their implications for smartphone addiction remain unexplored. Medical students are heavy smartphone users. Accordingly, screening for the risk of smartphone addiction based on individual differences in temperament can facilitate the identification of the best possible prevention strategy. Therefore, the present study aimed to examine the relationship betwe...

Association between high adolescent smartphone use and academic impairment, conflicts with family members or friends, and suicide attempts.

This study aims to evaluate the association between smartphone use and suicide attempts, independent of possible confounders, including conflicts with family/friends and poor academic performance due to smartphone use. Data were obtained from the 2017 Korea Youth Risk Behavior Web-based Survey, a nationally representative survey of middle- and high-school students (N = 62,276). Time spent using a smartphone was divided into four categories: less than 1 h, 1-2 h, 3-4 h, and 5 h or more a day. The association...

Google fit smartphone application or Gt3X Actigraph: Which is better for detecting the stepping activity of individuals with stroke? A validity study.

To examine the validity of the GT3X ActiGraph accelerometer and the Google Fit smartphone application in estimating stepping activity in people with chronic stroke.

The Use of Smartphone-Based Triage to Reduce the Rate of Outpatient Error Registration: Cross-Sectional Study.

In many clinics, patients now have the option to make Web-based appointments but doing so according to their own judgment may lead to wrong registration and delayed medical services. We hypothesized that smartphone-based triage in outpatient services is superior to Web-based self-appointment registration guided by the medical staff.

Reliability of the 6-minute walking test smartphone application.

Objective functional measures such as the 6-minute walking test (6WT) are increasingly applied to evaluate patients with degenerative diseases of the lumbar spine before and after (surgical) treatment. However, the traditional 6WT is cumbersome to apply, as it requires specialized in-hospital infrastructure and personnel. The authors set out to compare 6-minute walking distance (6WD) measurements obtained with a newly developed smartphone application (app) and those obtained with the gold-standard distance ...

Validation of Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening.

Screening for diabetic retinopathy (DR) is cost-effective when compared with disability loss for those who go blind in the absence of a screening program. We aimed to evaluate the sensitivity and specificity of a smartphone-based device for the screening and detection of DR.

Pt-Ni(OH) nanosheets amplified two-way lateral flow immunoassays with smartphone readout for quantification of pesticides.

Excessive use of herbicide and insecticide causes bioaccumulation in the environment and increases potential toxicity for people and animals. Portable systems for rapid assays of herbicide and insecticide residues have attracted prominent interests. Here, we developed a two-dimensional (2D) Pt-Ni(OH) nanosheets (NSs) amplified two-way lateral flow immunoassay (LFI) with a smartphone-based readout for simultaneous detection of acetochlor and fenpropathrin. The 2D Pt-Ni(OH) NSs were synthesized and used as th...

When a Vital Sign Leads a Country Astray-The Opioid Epidemic.

Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets.

This study presents a novel methodology for estimating the concentration of environmental pollutants in water, such as pathogens, based on environmental parameters. The scientific uniqueness of this study is the prevention of excess conformity in the model fitting by applying domain knowledge, which is the accumulated scientific knowledge regarding the correlations between response and explanatory variables. Sign constraints were used to express domain knowledge, and the effect of the sign constraints on th...

Smartphone applications for the treatment of depressive symptoms: A meta-analysis and qualitative review.

Emerging research indicates that the use of smartphone mental health applications (apps) could be used as an adjunctive therapy for individuals with depression, especially those who have difficulty accessing conventional therapies. The adoption and ownership of smartphone technology continues to increase in developed and developing nations, and could provide widespread and cost-effective evidence-based treatments for depressive symptoms.

Dose Matters: A Smartphone Application to Improve Asthma Control Among Patients at an Urban Pediatric Primary Care Clinic.

As the most common chronic condition of childhood, asthma is a frequent target for family education. However, current educational strategies rarely tailor to learning style or literacy level. Thus, we developed and implemented a smartphone application (app) leveraging gamified features entitled ("Clinic, Home, And on the Go Education for Asthma"). We subsequently assessed its impact on asthma control. Patients aged 4-11 years with a previously documented childhood asthma control test (C-ACT) score of

A Mobile Application for Exercise Intervention in People Living with HIV.

To assess 16-weeks improvements of physical fitness, metabolic and psychologic parameters in people living with HIV (PLWH) exercising with the support of a smartphone application, as compared to a control group exercising without application.


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