scholarly journals First Evaluation of the PTN-104 Plethysmographic Sensor for Heart Rate Measurement

2021 ◽  
Vol 21 (5) ◽  
pp. 117-122
Author(s):  
Wiesław Szaj ◽  
Wiktoria Wojnarowska ◽  
Bogdan Pajdo
Keyword(s):  
Heart Rate ◽  
Pulse Oximeter ◽  
Gold Standard ◽  
Index Finger ◽  
Rest Period ◽  
Rate Measurement ◽  
Gold Standard Method ◽  
Lower Accuracy ◽  
Validity Criteria ◽  
Healthy Participants

Abstract The purpose of this study was to examine the accuracy of HR measurements by the PTN-104 sensor in comparison to the fingertip pulse oximeter, which is a photoplethysmographic sensor (PPG). Twelve healthy participants underwent the same protocol during a single visit. Measurements were taken after each participant completed an initial rest period of 5 minutes and after 1-minute of exercising comprising of 30 squats. Each subject had the PTN-104 sensor attached to the index finger and a fingertip pulse oximeter to the opposite one. When examining the data in aggregate, there was a strong correlation between the PTN-104 sensor and PPG for HR (r = 0.988) with a mean bias of −2.55 bpm (95 % LoA +5.0, −10.1). The PTN-104 sensor satisfied validity criteria for HR monitors, however, showed a lower accuracy for measurements at rest, which is surprising. Due to the noticed limitations, this study should be repeated with a larger group of subjects and the PTN-104 sensor should be compared to the gold standard method for measuring HR, which is ECG.

Robust Real-Time Heart Rate Measurement from Face Videos

2021 ◽  
Vol 2021 (8) ◽  
pp. 268-1-268-7
Author(s):  
Yang Cheng ◽  
Qian Lin ◽  
Jan Allebach
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Pulse Oximeter ◽  
Ecg Signal ◽  
Rate Measurement ◽  
Health It ◽  
Robust Method ◽  
Light Conditions ◽  
Traditional Methods ◽  
Recent Method

Heart rate, the speed of the heartbeat, has been regarded as one of the most important measurements to evaluate one’s health. It can be used to measure one’s anxiety, stress and illness; abnormalities of heart rate usually indicate potential disease one may have. Recent studies have shown that it is possible to directly measure the heart rate from a sequence of images that contain a person’s face. Requiring only a webcam, this method largely simplifies the process of traditional methods, which require the use of a pulse oximeter attached to the fingertip to measure the PPG signal, or electrodes placed on the skin to measure the ECG signal. However, this most recent method, though attracting a lot of interest, still suffers from sudden movement of the head, or turning away from the camera. In this paper, we propose a novel robust method of generating reliable PPG signals and measuring the heart rate from only face videos in real time, which is invariant to the movement of the head. We have also conducted studies on how different factors, light conditions, the angle of the head and the distance of the head away from the camera, could affect the predictions of the heart rate. After conducting a thorough analysis, we can conclude that our method succeeds in producing accurate, robust and promising results.

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.

scholarly journals In-Ear Pulse Rate Measurement: A Valid Alternative to Heart Rate Derived from Electrocardiography?

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3641 ◽  
Author(s):  
Passler ◽  
Müller ◽  
Senner
Keyword(s):  
Heart Rate ◽  
Pulse Rate ◽  
Gold Standard ◽  
Rate Measurement ◽  
Motion Artefacts ◽  
Promising Technique ◽  
Intra Class Correlation ◽  
Accuracy And Precision ◽  
Measurement Devices ◽  
Intra Class Correlation Coefficient

Heart rate measurement has become one of the most widely used methods of monitoring the intensity of physical activity. The purpose of this study was to assess whether in-ear photoplethysmographic (PPG) pulse rate (PR) measurement devices represent a valid alternative to heart rate derived from electrocardiography (ECG), which is considered a gold standard. Twenty subjects (6 women, 14 men) completed one trial of graded cycling under laboratory conditions. In the trial, PR was recorded by two commercially available in-ear devices, the Dash Pro and the Cosinuss°One. They were compared to HR measured by a Bodyguard2 ECG. Validity of the in-ear PR measurement devices was tested by ANOVA, mean absolute percentage errors (MAPE), intra-class correlation coefficient (ICC), and Bland–Altman plots. Both devices achieved a MAPE ≤5%. Despite excellent to good levels of agreement, Bland–Altman plots showed that both in-ear devices tend to slightly underestimate the ECG’s HR values. It may be concluded that in-ear PPG PR measurement is a promising technique that shows accurate but imprecise results under controlled conditions. However, PPG PR measurement in the ear is sensitive to motion artefacts. Thus, accuracy and precision of the measured PR depend highly on measurement site, stress situation, and exercise.

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

Effect of Heart Rate Variability on Defensive Reaction and Eating Disorder Symptomatology in Chocolate Cravers

2009 ◽  
Vol 23 (3) ◽  
pp. 95-103 ◽  
Author(s):  
Sonia Rodríguez-Ruiz ◽  
Elisabeth Ruiz-Padial ◽  
Nieves Vera ◽  
Carmen Fernández ◽  
Lourdes Anllo-Vento ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Eating Disorder ◽  
Eating Behavior ◽  
Rest Period ◽  
Food Craving ◽  
Defensive Reaction ◽  
Relevant Role ◽  
Eating Disorder Symptomatology ◽  
Uncontrolled Eating

The study examines the effect of heart rate variability (HRV) on the cardiac defence response (CDR) and eating disorder symptomatology in chocolate cravers. Female chocolate cravers (n = 36) and noncravers (n = 36) underwent a psychophysiological test to assess their HRV during a 5-min rest period, followed by three trials to explore the CDR, elicited by an intense white noise, during the viewing of chocolate, neutral, and unpleasant pictures. After the test, participants completed a questionnaire to measure eating disorder symptomatology. The HRV was inversely related to the magnitude of the CDR and to eating disorder symptomatology in chocolate cravers. In addition, the HRV was inversely related to the magnitude of the CDR when viewing unpleasant pictures but not to neutral or chocolate ones, across all participants. These findings support the idea that poor autonomic regulation, indexed by low HRV, plays a relevant role in food craving and uncontrolled eating behavior.

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

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.

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 Quantum chemical benchmark databases of gold-standard dimer interaction energies

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alexander G. Donchev ◽  
Andrew G. Taube ◽  
Elizabeth Decolvenaere ◽  
Cory Hargus ◽  
Robert T. McGibbon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Gold Standard ◽  
Training Data ◽  
Structure Theory ◽  
Cluster Method ◽  
Coupled Cluster ◽  
Interaction Energies ◽  
Gold Standard Method ◽  
Representative Subset ◽  
Semi Empirical

AbstractAdvances in computational chemistry create an ongoing need for larger and higher-quality datasets that characterize noncovalent molecular interactions. We present three benchmark collections of quantum mechanical data, covering approximately 3,700 distinct types of interacting molecule pairs. The first collection, which we refer to as DES370K, contains interaction energies for more than 370,000 dimer geometries. These were computed using the coupled-cluster method with single, double, and perturbative triple excitations [CCSD(T)], which is widely regarded as the gold-standard method in electronic structure theory. Our second benchmark collection, a core representative subset of DES370K called DES15K, is intended for more computationally demanding applications of the data. Finally, DES5M, our third collection, comprises interaction energies for nearly 5,000,000 dimer geometries; these were calculated using SNS-MP2, a machine learning approach that provides results with accuracy comparable to that of our coupled-cluster training data. These datasets may prove useful in the development of density functionals, empirically corrected wavefunction-based approaches, semi-empirical methods, force fields, and models trained using machine learning methods.

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