Heart rate assessment using NeoTapAdvancedSupport: a simulation study

BackgroundNeoTapAdvancedSupport (NeoTapAS) is a mobile application, based on a screen tapping method that calculates the heart rate (HR). We aimed to evaluate the accuracy of NeoTapAS in reliably determining HR from auscultation in a high-fidelity simulated newborn resuscitation scenario.MethodsPaediatric residents assessed HR by auscultation plus NeoTapAS in an asphyxiated term infant scenario and orally communicated the estimated HR. An external observer simultaneously documented the actual HR set in the manikin and the communicated HR.ResultsOne hundred and sixty HR measurements were recorded. The agreement between communicated and set HR was good (Cohen’s kappa 0.80, 95% CI 0.72 to 0.87; Bangdiwala’s weighted agreement strength statistic 0.93). Bland-Altman plot showed a mean difference between communicated and set HR values of 1 beats per minute (bpm) (95% agreement limits −9 to 11 bpm).ConclusionNeoTapAS showed a good accuracy in estimating HR and it could be an important resource in settings with limited availability of ECG monitor.

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An Extension of the Bland–Altman Plot for Analyzing the Agreement of More than Two Raters

Diagnostics ◽

10.3390/diagnostics11010054 ◽

2021 ◽

Vol 11 (1) ◽

pp. 54

Author(s):

Sören Möller ◽

Birgit Debrabant ◽

Ulrich Halekoh ◽

Andreas Kristian Petersen ◽

Oke Gerke

Keyword(s):

Confidence Intervals ◽

Simulation Study ◽

Health Research ◽

Common Method ◽

Limits Of Agreement ◽

Altman Plot ◽

Bland Altman Plot ◽

Present Bias

The Bland–Altman plot is the most common method to analyze and visualize agreement between raters or methods of quantitative outcomes in health research. While very useful for studies with two raters, a limitation of the classical Bland–Altman plot is that it is specifically used for studies with two raters. We propose an extension of the Bland–Altman plot suitable for more than two raters and derive the approximate limits of agreement with 95% confidence intervals. We validated the suggested limit of agreement by a simulation study. Moreover, we offer suggestions on how to present bias, heterogeneity among raters, as well as the uncertainty of the limits of agreement. The resulting plot could be utilized to investigate and present agreement in studies with more than two raters.

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Can a low-cost exercise monitor provide useful heart rate monitoring for use in low-resource emergency departments?

Clinical and Experimental Emergency Medicine ◽

10.15441/ceem.20.128 ◽

2021 ◽

Vol 8 (3) ◽

pp. 201-206

Author(s):

Thomas A. O’Mara ◽

Miguel Armengol de la Hoz ◽

Oren J. Mechanic ◽

Alon Dagan

Keyword(s):

Heart Rate ◽

Sensitivity And Specificity ◽

Low Cost ◽

Heart Rate Monitoring ◽

Altman Plot ◽

Bland Altman Plot ◽

Significant Difference ◽

High Acuity ◽

R Value ◽

Emergency Department Patients

Objective Our objective was to study the clinical monitoring capabilities of a low-cost fitness wristband while measuring patient satisfaction with a mobility permitting device in the emergency department.Methods Patients enrolled were on continuous three-lead telemetry monitoring in a high acuity zone of the emergency department. Patients were given a fitness band to wear while simultaneously monitored with standard three-lead monitor. A brief survey was conducted upon study end, and data was compared between wristband and three-lead telemetry. Median heart rate (HR) values were calculated, a Bland-Altman plot was generated, and sensitivity and specificity were calculated for comparison of the formal telemetry and the inexpensive wristband.Results Thirty-four patients with an average age of 61.5 years were enrolled. From June to October 2019, over 100 hours of data were collected. In comparison for comfort, participants scored 9.5 of 10, preferring wristband over telemetry. Using a correlation coefficient graph, we found a significant disparity of HR readings within a telemetry range of 40 to 140 beats/min. An R-value of 0.36 was detected. Using a Bland-Altman plot, we observed a significant difference in HR between the telemetry monitor and the wristband. The sensitivity and specificity of the wristband to detect bradycardia (HR <60 beats/min) were 76% and 86%, respectively, while the sensitivity and specificity of the wristband to detect tachycardia (HR >100 beats/min) were 92% and 51%, respectively.Conclusion Inexpensive fitness bands cannot be a suitable tool for monitoring patient’s HR because of inaccuracy in detecting bradycardia or tachycardia.

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Enhanced Brady-Tachy Heart Automotive (BT-Heartomotive) Device for Heart Rate Monitoring during Driving

International Journal of Automotive and Mechanical Engineering ◽

10.15282/ijame.17.1.2020.09.0564 ◽

2020 ◽

Vol 17 (1) ◽

pp. 7599-7606

Author(s):

M. A. H. Mohd Adib ◽

N. H. M. Hasni

Keyword(s):

Heart Rate ◽

Mobile Applications ◽

Good Accuracy ◽

Rate Measurement ◽

Road Accidents ◽

Heart Rate Monitoring ◽

Physical Conditions ◽

Car Accidents ◽

Heart Rate Level ◽

Main Components

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.

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Ethnic Specific body fat percent prediction equation as surrogate marker of obesity in Ethiopian adults

Journal of Health Population and Nutrition ◽

10.1186/s41043-021-00224-3 ◽

2021 ◽

Vol 40 (1) ◽

Author(s):

Makeda Sinaga ◽

Melese Sinaga Teshome ◽

Tilhun Yemane ◽

Elsah Tegene ◽

David Lindtsrom ◽

...

Keyword(s):

Body Fat ◽

Age Groups ◽

Surrogate Marker ◽

Cost Effective ◽

Prediction Equation ◽

Prediction Equations ◽

Altman Plot ◽

Cross Sectional ◽

Bland Altman Plot ◽

Body Fat Percent

Abstract Background Application of advanced body composition measurement methods is not practical in developing countries context due to cost and unavailability of facilities. This study generated ethnic specific body fat percent prediction equation for Ethiopian adults using appropriate data. Methods A cross-sectional study was carried ifrom February to April 2015 among 704 randomly selected adult employees of Jimma University. Ethnic specific Ethiopian body fat percent (BF%) prediction equation was developed using a multivariable linear regression model with measured BF% as dependent variable and age, sex, and body mass index as predictor variables. Agreement between fat percent measured using air displacement plethysmography and body fat percent estimated using Caucasian prediction equations was determined using Bland Altman plot. Results Comparison of ADP measured and predicted BF% showed that Caucasian prediction equation underestimated body fat percent among Ethiopian adults by 6.78% (P < 0.0001). This finding is consistent across all age groups and ethnicities in both sexes. Bland Altman plot did not show agreement between ADP and Caucasian prediction equation (mean difference = 6.7825) and some of the points are outside 95% confidence interval. The caucasian prediction equation significantly underestimates body fat percent in Ethiopian adults, which is consistent across all ethnic groups in the sample. The study developed Ethnic specific BF% prediction equations for Ethiopian adults. Conclusion The Caucasian prediction equation significantly underestimates body fat percent among Ethiopian adults regardless of ethnicity. Ethiopian ethnic-specific prediction equation can be used as a very simple, cheap, and cost-effective alternative for estimating body fat percent among Ethiopian adults for health care provision in the prevention of obesity and related morbidities and for research purposes.

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Assessing Overall Diet Quality: Development and Evaluation of the Performance of a Short Self-Administrated Questionnaire SCASA

Nutrients ◽

10.3390/nu13020677 ◽

2021 ◽

Vol 13 (2) ◽

pp. 677

Author(s):

Maaike Kruseman ◽

Angeline Chatelan ◽

Eddy Farina ◽

Isabelle Carrard ◽

Jeremy Cela ◽

...

Keyword(s):

Diet Quality ◽

Quantitative Assessment ◽

Construct Validation ◽

Adult Population ◽

The Self ◽

Food Record ◽

Online Questionnaire ◽

Altman Plot ◽

Bland Altman Plot ◽

French Speaking

Several tools assessing diet quality have been developed over the last decades, but their use in public health and clinical practice is limited because they necessitate detailed quantitative assessment of food intake. Our goal was to develop and validate a score (Score d’Alimentation Saine, SCASA) based on a short self-administrated online questionnaire to assess overall diet quality. SCASA targets the adult population in French-speaking Switzerland, but it was designed in a way enabling its adaptation for other regions. The choice of the items involved experts and lay volunteers. Construct validation and inter-method reliability were assessed by screening meal plans and by comparing the self-rated scores with food-record derived scores (kappa and Bland–Altman). SCASA (17 components) discriminated adequately balanced from imbalanced meal plans (93–95% and 44–46% of maximal score). Agreement between self-assessed and food record-based scores ranged between >90% (3 items), 80–89% (3 items), 70–79% (4 items), and <70% (5 items). The Bland–Altman plot showed a mean difference of −1.60 (95% CI −2.36 to −0.84), indicating a slight overestimation of the self-assessed diet quality compared to the food record. SCASA offers a reliable way to assess overall diet quality without requiring burdensome data collection or nutrient calculations.

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IoT Based Pulse Oximeter

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37782 ◽

2021 ◽

Vol 9 (8) ◽

pp. 2946-2951

Author(s):

G Sidhartha

Keyword(s):

Heart Rate ◽

Signal Processing ◽

Oxygen Saturation ◽

Data Transmission ◽

Pulse Oximeter ◽

Mobile Application ◽

Preventive Measures ◽

Vital Signs ◽

Home Treatment ◽

Portable Devices

Abstract: In recent times, we have realized the importance of vital signs such as Oxygen saturation and heart rate i.e beats per minute (BPM) due to the covid-19 situation worldwide. SpO2 and BPM are being used as preliminary indicators for testing a person’s health, the drop in the oxygen saturation is perceived as one of the symptoms of a person suffering from coronavirus. Oximeters are portable devices that are used to measure the SpO2 and BPM of a person. Timely measurements of oxygen saturation can aid in taking preventive measures. This paper discusses the construction and development of an IoT-based pulse oximeter that is capable of transmitting the reading obtained to any remote location wirelessly. The proposed system uses Arduino as the microcontroller which is used for signal processing and Esp-01 as the Wifi platform to enable remote data transmission. The data is communicated remotely through Blynk mobile application. This project is aimed at reducing the manual effort undergone in regularly updating the oxygen saturation to the doctor, in the case of a person undergoing home treatment. Though an oximeter is not a screening te st, it is a primary indicator of a person’s health. Keywords: Heart rate, SpO2, IoT, Arduino, BLYNK server, Red, IR.

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Evaluation of Regional Variability and Measurement Reproducibility of Intravoxel Incoherent Motion Diffusion Weighted Imaging Using a Cardiac Stationary Phase Based ECG Trigger Method

BioMed Research International ◽

10.1155/2018/4604218 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 3

Author(s):

Zhiming Xiang ◽

Zhu Ai ◽

Jianke Liang ◽

Guijin Li ◽

Xiaolei Zhu ◽

...

Keyword(s):

Diffusion Coefficient ◽

Stationary Phase ◽

Diffusion Weighted Imaging ◽

Intravoxel Incoherent Motion ◽

Regional Variability ◽

Altman Plot ◽

Bland Altman Plot ◽

Hepatic Lobe ◽

Diffusion Weighted ◽

Pure Diffusion

Purpose. To evaluate the performance of an optimized ECG trigger diffusion weighted imaging (DWI) sequence in liver and its application in liver disease. Materials and Methods. Eighteen healthy volunteers underwent intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) scan of the liver twice in 1.5T MR scanner with signed informed consent approved by local ethic committees. A new method, called cardiac stationary phase based ECG trigger (CaspECG), and FB method were applied. The apparent diffusion coefficient (ADC) and the IVIM parameters, including pure diffusion coefficient (D), perfusion-related diffusion coefficient (D⁎), and perfusion fraction, (PF) were calculated, and then 18 region of interests were drawn on these parameter maps independently by two readers through whole hepatic lobe. The regional variability and reproducibility between two repeated scans were evaluated using interclass correlation coefficients (ICCs) and Bland-Altman plot, respectively, and compared between the CaspECG and FB methods. The signal-to-noise ratio (SNR) of DWI data was also evaluated. Result. Compared to the FB method, the proposed CaspECG method showed significant higher SNRs in DWI data, lower regional variability between left and right hepatic lobes, and higher reproducibility of ADC, PF, D, and D⁎ between repeat scans [left lobe, limit of agreement (LOA) of Bland-Altman plot: 10.1%, 18.3%, 19.8%, and 59.2%; right lobe, LOA: 10.25%, 14.15%, 16.45%, and 39.45%]. D⁎ showed the worst reproducibility in all parameters. Conclusion. The novel CaspECG method outperformed the FB method in compensating the cardiac motion induced artifacts in DWI data and generating more reliable quantitative parameters, with less regional variability and higher repeatability, especially in the left hepatic lobe.

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Prototype User Interface Mobile App E-Learning

Journal CERITA ◽

10.33050/cerita.v7i1.1480 ◽

2021 ◽

Vol 7 (1) ◽

pp. 61-70

Author(s):

Henderi Henderi ◽

Praditya Aliftiar ◽

Alwan Hibatullah

Keyword(s):

User Interface ◽

User Interfaces ◽

Mobile Application ◽

Mobile App ◽

User Needs ◽

High Fidelity ◽

Application Development ◽

E Learning ◽

Prototype Design ◽

People Today

Information technology has developed rapidly from time to time. One of the technologies commonly owned by many people today is smartphones with the Android and IOS platforms. By knowing this factor, mobile developers compete with each other to design applications with attractive user interfaces so that users are interested in using them. At this stage in mobile application development, starting from designing a user interface prototype. This stage aims to visualize user needs, improve user experience and simplify the coding process by programmers. In this study, researchers applied the prototype method. This research produces a prototype design for the e-learning application user interface which consists of a high fidelity prototype.

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Do the Readings of Digital and Aneroid Sphygmomanometer Concur? A Clinic-Based Study in an Urban Area of South Kolkata

JOURNAL FOR CLINICAL AND DIAGNOSTIC RESEARCH ◽

10.7860/jcdr/2021/48122.15178 ◽

2021 ◽

Author(s):

Aparajita Dasgupta ◽

Foulisa Pyrbot ◽

Bobby Paul ◽

Soumit Roy ◽

Pritam Ghosh ◽

...

Keyword(s):

Blood Pressure ◽

Blood Pressure Measurement ◽

Intraclass Correlation ◽

Research Work ◽

P Value ◽

Altman Plot ◽

Cohen’S Kappa ◽

Predictive Values ◽

Bland Altman Plot ◽

Cohen's Kappa

Introduction: Hypertension is a major risk factor for cardiovascular and cerebrovascular diseases. Thus, regular and accurate measurement of Blood Pressure (BP) is essential for its early diagnosis and follow-up. There is a surge in popularity of digital sphygmomanometer due to its convenience of use and functionality. In contrast, the traditional universally accepted sphygmomanometer is aneroid type, hence there arise a need for comparison of digital and universally accepted Aneroid Sphygmomanometer in terms of agreement and correlation. Aim: To evaluate the agreement and correlation between blood pressure measurement by digital and aneroid sphygmomanometer. Materials and Methods: The clinic based cross-sectional study was conducted in the Out Patient Department (OPD) of Urban Heath Centre, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India. Adults visiting the OPD on two chosen days of the week, between June 2019 to July 2019 were selected using systematic random sampling. A total of 400 participants were included. Agreement and correlation between BP measurements by digital and aneroid sphygmomanometer was analysed by Cohen’s Kappa, Bland Altman Plot along with sensitivity, specificity and predictive values using Microsoft Excel and Statistical Package for the Social Sciences (SPSS) version 16.0. the p-value <0.05 was considered significant for the statistical test in the analysis. Results: Cohen’s Kappa value (0.59) revealed these two tools had moderate agreement in diagnosing hypertension. Sensitivity and specificity of digital sphygmomanometer taking aneroid sphygmomanometer as gold standard is 86% and 83.1% respectively. The BP readings of these two-tools showed moderate correlation as Intraclass Correlation Coefficient (ICC) for Systolic BP (SBP) and Diastolic BP (DBP) were 0.804 and 0.624, respectively. Bland Altman plot showed gross disagreement of SBP findings and disagreement between DBP findings was also noted. Conclusion: Digital device was found to be less accurate in detecting hypertension. Therefore, more similar research work is solicited to verify the accuracy of the very easy to use, the Digital BP monitor.

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