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

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.

Download Full-text

Heart rate assessment using NeoTapAdvancedSupport: a simulation study

Archives of Disease in Childhood - Fetal and Neonatal Edition ◽

10.1136/archdischild-2018-315408 ◽

2018 ◽

pp. fetalneonatal-2018-315408 ◽

Cited By ~ 3

Author(s):

Marco Binotti ◽

Francesco Cavallin ◽

Pier Luigi Ingrassia ◽

Nicolas J Pejovic ◽

Alice Monzani ◽

...

Keyword(s):

Heart Rate ◽

Simulation Study ◽

Mobile Application ◽

Good Accuracy ◽

Term Infant ◽

High Fidelity ◽

Altman Plot ◽

External Observer ◽

Bland Altman Plot ◽

Limited Availability

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.

Download Full-text

Improvement of Driverless Cars' Passengers on Board Health and Safety, using Low-Cost Real-Time Heart Rate Monitoring System

2018 24th International Conference on Automation and Computing (ICAC) ◽

10.23919/iconac.2018.8748986 ◽

2018 ◽

Author(s):

R. M. Fouad ◽

A. Onsy ◽

Osama A. Omer

Keyword(s):

Heart Rate ◽

Real Time ◽

Monitoring System ◽

Low Cost ◽

Health And Safety ◽

Heart Rate Monitoring ◽

Driverless Cars

Download Full-text

Relationship Between Heart Rate, Oxygen Consumption, and Energy Expenditure in Futsal

Frontiers in Psychology ◽

10.3389/fpsyg.2021.698622 ◽

2021 ◽

Vol 12 ◽

Author(s):

Henrique Santos da Silva ◽

Fabio Yuzo Nakamura ◽

Marcelo Papoti ◽

Alexsandro Santos da Silva ◽

Julio Wilson Dos-Santos

Keyword(s):

Heart Rate ◽

Oxygen Consumption ◽

Energy Expenditure ◽

Treadmill Running ◽

Concordance Correlation ◽

Altman Plot ◽

Metabolic Equivalents ◽

Significant Difference ◽

Continuous Test ◽

Good Individual

The primary aim of this study was to compare the measured oxygen consumption (Measured-VO2) in a simulated futsal game (S-Game) with the estimated oxygen consumption (Estimated-VO2) through a regression equation between heart rate (HR) and oxygen consumption (VO2) (HR-VO2) in treadmill running, and a secondary aim was to calculate the total energy expenditure (EE) in S-Game. Ten professional players (22.20 ± 3.22 years) were evaluated. HR-VO2 was determined individually in the continuous test on the treadmill (ContTest). The Measured-VO2 in S-Game was compared with the Estimated-VO2 in the ContTest. Alactic and lactic pathways were estimated by VO2. The Estimated-VO2 presented no statistically significant difference with the Measured-VO2, using the paired t-test (p = 0.38). However, the correlation between Estimated- and Measured-VO2 was very weak (r = −0.05), and it presented poor agreement (concordance correlation coefficient = −0.04). In addition, a Bland–Altman plot presented bias of −2.8 ml/kg/min and individual difference as large as 19 ml/kg/min. The HR-VO2 determined by the ContTest was not a good individual predictor of VO2. The high intensity and intermittent nature of the futsal game possibly caused dissociation in the HR-VO2 relationship. ContTest is not recommended for estimating VO2 and calculating individual EE in the futsal game. This is recommended only for the group mean. The total EE in S-Game was 13.10 ± 1.25 kcal.min−1 (10.81 ± 1.57 metabolic equivalents). The contributions from the metabolic pathways were as follows: aerobic (93%), alactic (5%), and lactic (2%).

Download Full-text

Low cost heart rate monitoring device using Bluetooth

2014 2nd International Conference on Information and Communication Technology (ICoICT) ◽

10.1109/icoict.2014.6914037 ◽

2014 ◽

Cited By ~ 2

Author(s):

Ridza Azri Ramlee ◽

Mohd Azlshah Bin Othman ◽

Mohammad Ikhwan Bin Abdul Aziz ◽

Hamzah Asyrani bin Sulaiman

Keyword(s):

Heart Rate ◽

Low Cost ◽

Monitoring Device ◽

Heart Rate Monitoring

Download Full-text

Comparison of VIDAS and Radioimmunoassay Methods for Measurement of Cortisol Concentration in Bovine Serum

The Scientific World JOURNAL ◽

10.1155/2013/216569 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 2

Author(s):

Daniela Proverbio ◽

Roberta Perego ◽

Eva Spada ◽

Giada Bagnagatti de Giorgi ◽

Angelo Belloli ◽

...

Keyword(s):

Regression Analysis ◽

Bovine Serum ◽

Serum Cortisol ◽

Cortisol Concentration ◽

Altman Plot ◽

Gold Standard Method ◽

Bland Altman Plot ◽

Deming Regression ◽

Significant Difference ◽

Serum Cortisol Concentration

Radioimmunoassay (RIA) is the “gold standard” method for evaluation of serum cortisol concentration. The VIDAS cortisol test is an enzyme-linked fluorescent assay designed for the MiniVidas system. The aim of this study was to compare the VIDAS method with RIA for measurement of bovine serum cortisol concentration. Cortisol concentrations were evaluated in 40 cows using both VIDAS and RIA methods, the latter as the reference method. A paired Student’s -test, Pearson’s correlation analysis, Bland-Altman plot, and Deming regression analysis were used to compare the two methods. There was no statistically significant difference between mean serum cortisol concentrations measured by VIDAS or RIA methods (). Both methods were able to detect significant differences in mean low and high cortisol concentrations ( RIA and VIDAS). The correlation coefficient was low, but a Bland-Altman plot and Deming regression analysis show neither constant nor proportional error. The VIDAS method produced slightly higher values than RIA, but the difference was small and in no case did the mean value move the normal range. Results suggest that VIDAS method is suitable for the determination of bovine serum cortisol concentration in studies of large numbers of animals.

Download Full-text

Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17093177 ◽

2020 ◽

Vol 17 (9) ◽

pp. 3177

Author(s):

Francesco Negrini ◽

Giulio Gasperini ◽

Eleonora Guanziroli ◽

Jacopo Antonino Vitale ◽

Giuseppe Banfi ◽

...

Keyword(s):

Healthy Subjects ◽

Low Cost ◽

Real Life ◽

Lower Limbs ◽

Stroke Patients ◽

Altman Plot ◽

Step Counter ◽

Bland Altman Plot ◽

Post Stroke ◽

Walking Tests

Monitoring the real-life mobility of stroke patients could be extremely useful for clinicians. Step counters are a widely accessible, portable, and cheap technology that can be used to monitor patients in different environments. The aim of this study was to validate a low-cost commercial tri-axial accelerometer-based step counter for stroke patients and to determine the best positioning of the step counter (wrists, ankles, and waist). Ten healthy subjects and 43 post-stroke patients were enrolled and performed four validated clinical tests (10 m, 50 m, and 6 min walking tests and timed up and go tests) while wearing five step counters in different positions while a trained operator counted the number of steps executed in each test manually. Data from step counters and those collected manually were compared using the intraclass coefficient correlation and mean average percentage error. The Bland–Altman plot was also used to describe agreement between the two quantitative measurements (step counter vs. manual counting). During walking tests in healthy subjects, the best reliability was found for lower limbs and waist placement (intraclass coefficient correlations (ICCs) from 0.46 to 0.99), and weak reliability was observed for upper limb placement in every test (ICCs from 0.06 to 0.38). On the contrary, in post-stroke patients, moderate reliability was found only for the lower limbs in the 6 min walking test (healthy ankle ICC: 0.69; pathological ankle ICC: 0.70). Furthermore, the Bland–Altman plot highlighted large average discrepancies between methods for the pathological group. However, while the step counter was not able to reliably determine steps for slow patients, when applied to the healthy ankle of patients who walked faster than 0.8 m/s, it counted steps with excellent precision, similar to that seen in the healthy subjects (ICCs from 0.36 to 0.99). These findings show that a low-cost accelerometer-based step counter could be useful for measuring mobility in select high-performance patients and could be used in clinical and real-world settings.

Download Full-text

ECG signal monitoring based on Covid-19 patients: Overview

10.54216/jisiot.020202 ◽

2021 ◽

pp. 45-54

Author(s):

Amine Saddik *, Rachid Latif and Abdoullah Bella ◽

Keyword(s):

Artificial Intelligence ◽

Image Processing ◽

Heart Rate ◽

Respiratory System ◽

Low Cost ◽

Ecg Signal ◽

Heart Rate Monitoring ◽

Frequent Contact ◽

Cardiac System ◽

Signal Monitoring

ECG signal monitoring is a very important step for patients. Especially for those infected by covid-19. This pandemic has shown that the use of artificial intelligence helps to control the propagation of this virus. Particularly the high spread of this virus influences the number of the infected population. As well as the fact that this virus attacks the respiratory system which influences the cardiac system. Therefore, an ECG signal monitoring is mandatory. Our work presents an overview based on various approaches developed for ECG signal monitoring. These techniques are based on non-contact monitoring approaches. These approaches will help to avoid frequent contact with patients and doctors. As well as non-contact ECG signal monitoring is based on low-cost techniques, which reduces the price compared to other sensors. After the revision, we can conclude that the most suitable solution for heart rate monitoring is based on image processing using RGB cameras. These solutions are accurate, low cost, and protect the doctors.

Download Full-text

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Journal of Healthcare Engineering ◽

10.1155/2021/5517692 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Xuan Yang ◽

Ke Zhang ◽

Jianhu He

Keyword(s):

Heart Rate ◽

Fetal Heart Rate ◽

Heart Sound ◽

Fetal Heart ◽

The United States ◽

Heart Rate Monitoring ◽

Fetal Heart Rate Monitoring ◽

Significant Difference ◽

Diagnostic Standards ◽

The Difference

Fetal heart sound is an important part of fetal monitoring and has attracted extensive research and attention from scholars at home and abroad in recent years. The fetal heart rate, extracted from the fetal heart sound signal, is one of the important indicators that reflect the health of the fetus in the womb. In this study, a maternal-fetal Holter monitor based on f ECG technology was used to collect maternal heart rate, fetal heart rate, and uterine contractions signals, isolate the fetal heart rate, and design an algorithm to extract the fetal heart rate baseline, acceleration, variation, wake-up cycle, and nonlinear parameters. Using statistical methods to analyze the average value and range of various characteristic parameters of fetal heart rate under continuous long-term monitoring, the results show that the baseline has a downward trend from 10 o’clock in the night to 4 o’clock in the morning and is the lowest around 2 o’clock in the morning. The area and acceleration time were significantly higher than those in the suspicious group. However, there was no significant difference in the number of acceleration values between the two groups; the proportion of small mutations in the normal group was lower than that of the suspicious group and the proportion of medium mutations was higher than that of the suspicious group. There is no statistically significant difference in maternal age, gestational age at childbirth, pregnancy comorbidities, and complication rates in the five-level interpretation system of ACOG (2009), RCOG (2007), SOGC (2007), and the United States (2007). The difference of pregnancy and parity in various images was statistically significant, P < 0.05. The second type of fetal heart rate monitoring images appeared in the highest among the diagnostic standards, and the difference in the second type of fetal heart rate monitoring images between the various diagnostic standards was statistically significant, P ≤ 0.001.

Download Full-text