The effect of a rhythmic pulse on the heart rate: Little evidence for rhythmical ‘entrainment’ and ‘synchronization’

2018 ◽  
Vol 24 (3) ◽  
pp. 377-400
Author(s):  
Hanna Mütze ◽  
Reinhard Kopiez ◽  
Anna Wolf
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Phase Synchronization ◽  
Stimulus Onset ◽  
Circular Statistics ◽  
Musical Stimulus ◽  
Regulatory Feedback Loop ◽  
Musical Tempo ◽  
High Degree ◽  
Rate Frequency

In this study, we investigate the influence of musical tempo on the heart rate. Previous studies showed ambiguous results. Two effects are considered: first, an adaption of the heart rate frequency to the tempo of a musical stimulus (‘entrainment’) and second, the phase synchronization between the stimulus-onset and the R-waves in the ECG (‘synchronization’). A regulatory feedback loop was programmed, which constantly measured the actual heart rate. A simple Djembé-beat was used as a musical stimulus and coupled to the actual heart rate in real-time. To test for ‘entrainment’ effects, we adapted the tempo of the stimulus in real-time to the actual heart rate by increasing the rate 25%, 40% or 55% over the baseline tempo. To test for ‘synchronization’ effects, we presented the stimulus in a constant tempo, tracking the actual heart rate of the test person. Based on circular statistics, results showed no evidence for ‘entrainment’ or ‘synchronization’ effects of the stimulus on the heart rate. Overall, reactions to the trigger pulse were characterized by a high degree of interindividual differences. Thus, we conclude that there is no direct and simple correlation between the musical tempo and the HR contrary to what is often suggested in everyday psychology.

scholarly journals Real-Time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation

2020 ◽  
Vol 10 (23) ◽  
pp. 8630
Author(s):  
Amogh Gudi ◽  
Marian Bittner ◽  
Jan van Gemert
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Vital Signs ◽  
Ground Truth ◽  
Heart Beat ◽  
Psychological Conditions ◽  
Measure Heart Rate ◽  
High Degree ◽  
Motion Suppression

Remote photo-plethysmography (rPPG) uses a camera to estimate a person’s heart rate (HR). Similar to how heart rate can provide useful information about a person’s vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine fluctuations in the intervals between heart beats. However, this measure requires temporally locating heart beats with a high degree of precision. We introduce a refined and efficient real-time rPPG pipeline with novel filtering and motion suppression that not only estimates heart rates, but also extracts the pulse waveform to time heart beats and measure heart rate variability. This unsupervised method requires no rPPG specific training and is able to operate in real-time. We also introduce a new multi-modal video dataset, VicarPPG 2, specifically designed to evaluate rPPG algorithms on HR and HRV estimation. We validate and study our method under various conditions on a comprehensive range of public and self-recorded datasets, showing state-of-the-art results and providing useful insights into some unique aspects. Lastly, we make available CleanerPPG, a collection of human-verified ground truth peak/heart-beat annotations for existing rPPG datasets. These verified annotations should make future evaluations and benchmarking of rPPG algorithms more accurate, standardized and fair.

An Examination of Real-Time Heart Rate Variability During Laparoscopic Cholecystectomies and Radical Surgeries

2000 ◽  
Author(s):  
K. Zaglaniczny ◽  
W. Shoemaker ◽  
D. S. Gorguze ◽  
C. Woo ◽  
J. Colombo
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time

Real-time Judgment of Workload using Heart Rate and Physical Activity

2020 ◽  
Author(s):  
Nobuki Hashiguchi ◽  
Lim Yeongjoo ◽  
Cyo Sya ◽  
Shinichi Kuroishi ◽  
Yasuhiro Miyazaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Real Time ◽  
Time Judgment

scholarly journals Characterisation of Textile Embedded Electrodes for Use in a Neonatal Smart Mattress Electrocardiography System

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 999
Author(s):  
Henry Dore ◽  
Rodrigo Aviles-Espinosa ◽  
Zhenhua Luo ◽  
Oana Anton ◽  
Heike Rabe ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Heart Rate ◽  
Intensive Care ◽  
High Resolution ◽  
Neonatal Intensive Care Unit ◽  
Real Time ◽  
Neonatal Intensive Care ◽  
Delivery Room ◽  
Proof Of Concept ◽  
Heart Rate Monitoring

Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during intervention. In this work we report the design and development of a solution to provide high resolution, real time electrocardiogram data to the clinicians within the delivery room using non-contact electric potential sensors embedded in a neonatal intensive care unit mattress. A real-time high-resolution electrocardiogram acquisition solution based on a low power embedded system was developed and textile embedded electrodes were fabricated and characterised. Proof of concept tests were carried out on simulated and human cardiac signals, producing electrocardiograms suitable for the calculation of heart rate having an accuracy within ±1 beat per minute using a test ECG signal, ECG recordings from a human volunteer with a correlation coefficient of ~ 87% proved accurate beat to beat morphology reproduction of the waveform without morphological alterations and a time from application to heart rate display below 6 s. This provides evidence that flexible non-contact textile-based electrodes can be embedded in wearable devices for assisting births through heart rate monitoring and serves as a proof of concept for a complete neonate electrocardiogram monitoring system.

Utilization of Real-Time Heart Rate Changes to Classify Emotions Based on Low-Cost Device Development

2021 ◽  
Author(s):  
Pramudya Rakhmadyansyah Sofyan ◽  
Rizdha Wahyudi ◽  
Diandri Perkasa Putra ◽  
Alvin Sahroni ◽  
Nur Widiasmara ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Low Cost ◽  
Device Development

INFLUENCE OF THE AGE ON BAROREFLEX SYNCHRONIZATION OF ARTERIAL PRESSURE AND HEART RATE DURING THE PASSIVE STANDING TEST

2021 ◽  
Vol 55 (1) ◽  
pp. 46-50
Author(s):  
Е.А. Orlova ◽  
◽  
О.S. Tarasova ◽  
V.D. Son'kin ◽  
А.S. Borovik ◽  
...  
Keyword(s):  
Heart Rate ◽  
Phase Synchronization ◽  
Tilt Test ◽  
Breathing Rate ◽  
Age Related ◽  
Head Up Tilt ◽  
Wave Range ◽  
Standing Test ◽  
Head Up Tilt Test ◽  
Over 40 Years

Age-related changes in phase synchronization of spontaneous blood pressure (BP) and heart rate (HR) fluctuations within the baroreflex wave range (about 0.1 Hz) were studied in 66 subjects aged 20 to 52 years. Measurements performed during the head-up tilt test included continuous BP monitoring using the volume-compensation method, ECG recording for ensuing HR calculation, and breathing rate recording. The phase synchronization index (PSI) was used for evaluation of BP-HR coupling. In supine position, phase synchronization in the subjects over 40 years was higher as compared with their counterparts at the age of 20 to 24 years. Along with that, less pronounced PSI increase in people over 40 in response to the tilt test suggests a decline of the baroreflex activity with aging.

Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

2018 ◽  
Vol 62 (1) ◽  
pp. 1579-1583
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Situation Awareness ◽  
Mental State ◽  
Time Algorithm ◽  
Support Vector ◽  
Vehicle Design ◽  
Automated Vehicle ◽  
Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

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