Randomised study comparing heart rate measurement in newly born infants using a monitor incorporating electrocardiogram and pulse oximeter versus pulse oximeter alone

2018 ◽  
Vol 104 (5) ◽  
pp. F547-F550 ◽  
Author(s):  
Madeleine C Murphy ◽  
Laura De Angelis ◽  
Lisa K McCarthy ◽  
Colm Patrick Finbarr O’Donnell
Keyword(s):  
Heart Rate ◽  
High Risk ◽  
Pulse Oximeter ◽  
Low Risk ◽  
Rate Measurement ◽  
Randomised Study ◽  
Heart Rate Measurement ◽  
Parallel Group ◽  
High Risk Infants

AimTo determine whether IntelliVue (ECG plus Masimo pulse oximeter (PO)) measures heart rate (HR) in low-risk newborns more quickly than Nellcor PO (PO alone).MethodsUnmasked parallel group randomised (1:1) study.ResultsWe studied 100 infants, 47 randomised to IntelliVue, 53 to Nellcor. Time to first HR was shorter with IntelliVue ECG than Nellcor (median (IQR) 24 (19, 39) vs 48 (36, 69) s, p<0.001). There was no difference in time to display both HR and SpO2 (52 (47, 76) vs 48 (36, 69) s, p=0.507). IntelliVue PO displayed initial bradycardia more often than the Nellcor (55% vs 6%). Infants monitored with IntelliVue were handled more frequently and for longer.ConclusionsIntelliVue ECG displayed HR more quickly than Nellcor PO. IntelliVue PO often displayed initial bradycardia. Infants monitored with IntelliVue were handled more often. Study of ECG in high-risk infants is warranted.

Randomised study of heart rate measurement in preterm newborns with ECG plus pulse oximetry versus oximetry alone

2021 ◽  
pp. fetalneonatal-2020-320892
Author(s):  
Madeleine C Murphy ◽  
Allan Jenkinson ◽  
John Coveney ◽  
Lisa K McCarthy ◽  
Colm Patrick Finbarr O Donnell
Keyword(s):  
Heart Rate ◽  
Preterm Infants ◽  
Gestational Age ◽  
Pulse Oximeter ◽  
Face Mask ◽  
Rate Measurement ◽  
Randomised Study ◽  
Parallel Group ◽  
Registration Number ◽  
Preterm Newborns

AimTo determine whether the IntelliVue monitor (ECG plus Masimo pulse oximeter (PO)) displays heart rate (HR) at birth more quickly than Nellcor PO (PO alone) among infants of 29–35 weeks’ gestational age.MethodsUnmasked parallel group randomised (1:1) study.ResultsWe planned to enrol 100 infants; however, the study was terminated due to the COVID-19 pandemic when 39 infants had been enrolled (17 randomised to IntelliVue, 22 to Nellcor). We found no differences between the groups in the time to first HR display (median (IQR) IntelliVue ECG 49 (33, 71) vs Nellcor 47 (37, 86) s, p>0.999), in the proportion who had a face mask applied for breathing support, or in the time at which it was applied. Infants monitored with IntelliVue were handled more frequently and for longer.ConclusionIntelliVue ECG did not display HR more quickly than Nellcor PO in preterm infants. We found no differences in the rate of or time to intervention between groups. Our study was terminated early so these findings should be interpreted with caution.Trial registration numberISRCTN16473881

Comparison of infant heart rate assessment by auscultation, ECG and oximetry in the delivery room

2018 ◽  
Vol 103 (5) ◽  
pp. F490-F492 ◽  
Author(s):  
Madeleine C Murphy ◽  
Laura De Angelis ◽  
Lisa K McCarthy ◽  
Colm Patrick Finbarr O’Donnell
Keyword(s):  
Heart Rate ◽  
High Risk ◽  
Pulse Oximetry ◽  
Clinical Assessment ◽  
Newborn Infants ◽  
Mean Difference ◽  
Low Risk ◽  
Delivery Room ◽  
Reasonable Accuracy ◽  
High Risk Infants

Clinical assessment of an infant’s heart rate (HR) in the delivery room (DR) has been reported to be inaccurate. We compared auscultation of the HR using a stethoscope with electrocardiography (ECG) and pulse oximetry (PO) for determining the HR in 92 low-risk newborn infants in the DR. Caregivers auscultated the HR while masked to the HR on the monitor. Auscultation underestimated ECG HR (mean difference (95% CI) by −9 (−15 to –2) beats per minute (bpm)) and PO HR (mean difference (95% CI) by −5 (−12 to 2) bpm). The median (IQR) time to HR by auscultation was 14 (10–18) s. As HR was determined quickly and with reasonable accuracy by auscultation in low-risk newborns, study in high-risk infants is warranted.

scholarly journals A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3719
Author(s):  
Aoxin Ni ◽  
Arian Azarang ◽  
Nasser Kehtarnavaz
Keyword(s):  
Heart Rate ◽  
Deep Learning ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Video Camera ◽  
Measurement Methods ◽  
Rate Measurement ◽  
Learning Methods ◽  
The Public ◽  
Heart Rate Measurement

The interest in contactless or remote heart rate measurement has been steadily growing in healthcare and sports applications. Contactless methods involve the utilization of a video camera and image processing algorithms. Recently, deep learning methods have been used to improve the performance of conventional contactless methods for heart rate measurement. After providing a review of the related literature, a comparison of the deep learning methods whose codes are publicly available is conducted in this paper. The public domain UBFC dataset is used to compare the performance of these deep learning methods for heart rate measurement. The results obtained show that the deep learning method PhysNet generates the best heart rate measurement outcome among these methods, with a mean absolute error value of 2.57 beats per minute and a mean square error value of 7.56 beats per minute.

scholarly journals Heart Rate Measurement

2021 ◽  
Vol 1831 (1) ◽  
pp. 012020
Author(s):  
Parth Kansara ◽  
Ritwik Dhar ◽  
Riddhi Shah ◽  
Devansh Mehta ◽  
Purva Raut
Keyword(s):  
Heart Rate ◽  
Rate Measurement ◽  
Heart Rate Measurement

scholarly journals Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 158492-158502 ◽  
Author(s):  
Pengfei Wang ◽  
Fugui Qi ◽  
Miao Liu ◽  
Fulai Liang ◽  
Huijun Xue ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sparse Coding ◽  
Rate Measurement ◽  
Uwb Radar ◽  
Heart Rate Measurement ◽  
Coding Method

scholarly journals Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

2016 ◽  
Vol 23 (4) ◽  
pp. 579-592 ◽  
Author(s):  
Jaromir Przybyło ◽  
Eliasz Kańtoch ◽  
Mirosław Jabłoński ◽  
Piotr Augustyniak
Keyword(s):  
Heart Rate ◽  
Assisted Living ◽  
Detection Algorithm ◽  
Frame Rate ◽  
Infrared Light ◽  
Fluorescent Light ◽  
Detection Accuracy ◽  
Rate Measurement ◽  
Lighting Conditions ◽  
Heart Rate Measurement

Abstract Videoplethysmography is currently recognized as a promising noninvasive heart rate measurement method advantageous for ubiquitous monitoring of humans in natural living conditions. Although the method is considered for application in several areas including telemedicine, sports and assisted living, its dependence on lighting conditions and camera performance is still not investigated enough. In this paper we report on research of various image acquisition aspects including the lighting spectrum, frame rate and compression. In the experimental part, we recorded five video sequences in various lighting conditions (fluorescent artificial light, dim daylight, infrared light, incandescent light bulb) using a programmable frame rate camera and a pulse oximeter as the reference. For a video sequence-based heart rate measurement we implemented a pulse detection algorithm based on the power spectral density, estimated using Welch’s technique. The results showed that lighting conditions and selected video camera settings including compression and the sampling frequency influence the heart rate detection accuracy. The average heart rate error also varies from 0.35 beats per minute (bpm) for fluorescent light to 6.6 bpm for dim daylight.

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