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Journal of Sport Rehabilitation May 2015Pulse rate is commonly measured manually or with commercial wrist or belt monitors. More recently, pulse-rate monitoring has become convenient with the use of mobile... (Observational Study)
Observational Study
CONTEXT
Pulse rate is commonly measured manually or with commercial wrist or belt monitors. More recently, pulse-rate monitoring has become convenient with the use of mobile technology that allows monitoring through a smartphone camera. This optical technology offers many benefits, although the clinimetric properties have not been extensively studied.
DESIGN
Observational study of reliability Setting: University kinesiology laboratory.
PARTICIPANTS
30 healthy, recreationally active adults.
INTERVENTION
Concurrent measurement of pulse rate using 2 smartphone applications (fingertip, face-scan,) with the Polar H7 belt and pulse oximeter.
MAIN OUTCOME MEASURE
Average resting pulse rate for 5 min in 3 positions (supine, sitting, and prone).
RESULTS
Concurrent validity in supine and standing was good between the 2 applications and the Polar H7 (intraclass correlation coefficient [ICC] .80-.98) and pulse oximeter (ICC .82-.98). For sitting, the validity was good between the fingertip application, Polar H7 (ICC .97), and pulse oximeter (ICC .97). The face-scan application had moderate validity with the Polar H7 (ICC .74) and pulse oximeter (ICC .69). The minimal detectable change (MDC90) between the fingertip application and Polar H7 ranged from 1.38 to 4.36 beats/min (BPM) and from 0.69 to 2.97 BPM for the pulse oximeter with both positions. The MDC90 between the face-scan application and Polar H7 ranged from 11.88 to 12.83 BPM and from 0.59 to 17.72 BPM for the pulse oximeter. The 95% limits of agreement suggest that the fingertip application may vary between 2.40 and 3.59 BPM with the Polar H7 and between 3.40 and 3.42 BPM with the pulse oximeter. The face-scan application may vary between 3.46 and 3.52 BPM with the Polar H7 and between 2.54 and 3.46 BPM with the pulse oximeter.
CONCLUSION
Pulse-rate measurements may be effective using a fingertip application, belt monitor, and pulse oximeter. The fingertip scanner showed superior results compared with the face scanner, which only demonstrated modest validity compared with the Polar H7 and pulse oximeter.
Topics: Adult; Female; Heart Rate; Humans; Male; Mobile Applications; Monitoring, Physiologic; Oximetry; Reproducibility of Results; Smartphone; Young Adult
PubMed: 24700420
DOI: 10.1123/jsr.2013-0145 -
Physiological Measurement Nov 2016In this paper, classical time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmography signals...
In this paper, classical time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmography signals (vPPG) were compared with heart rate variability (HRV) parameters extracted from ECG signals. The study focuses on the analysis of the changes observed during a rest-to-stand manoeuvre (a mild sympathetic stimulus) performed on 60 young, normal subjects (age: [Formula: see text] years). The objective is to evaluate if video-derived PRV indexes may replace HRV in the assessment of autonomic responses to external stimulation. Video recordings were performed with a GigE Sony XCG-C30C camera and analyzed offline to extract the vPPG signal. A new method based on zero-phase component analysis (ZCA) was employed in combination with a fully-automatic method for detection and tracking of region of interest (ROI) located on the forehead, the cheek and the nose. Results show an overall agreement between time and frequency domain indexes computed on HRV and PRV series. However, some differences exist between resting and standing conditions. During rest, all the indexes computed on HRV and PRV series were not statistically significantly different (p > 0.05), and showed high correlation (Pearson's r > 0.90). The agreement decreases during standing, especially for the high-frequency, respiration-related parameters such as RMSSD (r = 0.75), pNN50 (r = 0.68) and HF power (r = 0.76). Finally, the power in the LF band (n.u.) was observed to increase significantly during standing by both HRV ([Formula: see text] versus [Formula: see text] (n.u.); rest versus standing) and PRV ([Formula: see text] versus [Formula: see text](n.u.); rest versus standing) analysis, but such an increase was lower in PRV parameters than that observed by HRV indexes. These results provide evidence that some differences exist between variability indexes extracted from HRV and video-derived PRV, mainly in the HF band during standing. However, despite these differences video-derived PRV indexes were able to evince the autonomic responses expected by the sympathetic stimulation induced by the rest-to-stand manoeuvre.
Topics: Adult; Algorithms; Female; Heart Rate; Humans; Male; Photoplethysmography; Pulse; Signal Processing, Computer-Assisted; Young Adult
PubMed: 27681456
DOI: 10.1088/0967-3334/37/11/1934 -
Sensors (Basel, Switzerland) Sep 2022Cardiac monitoring based on wearable photoplethysmography (PPG) is widespread because of its usability and low cost. Unfortunately, PPG is negatively affected by various...
Cardiac monitoring based on wearable photoplethysmography (PPG) is widespread because of its usability and low cost. Unfortunately, PPG is negatively affected by various types of disruptions, which could introduce errors to the algorithm that extracts pulse rate variability (PRV). This study aims to identify the nature of such artifacts caused by various types of factors under the conditions of precisely planned experiments. We also propose methods for their reduction based solely on the PPG signal while preserving the frequency content of PRV. The accuracy of PRV derived from PPG was compared to heart rate variability (HRV) derived from the accompanying ECG. The results indicate that filtering PPG signals using the discrete wavelet transform and its inverse (DWT/IDWT) is suitable for removing slow components and high-frequency noise. Moreover, the main benefit of amplitude demodulation is better preparation of the PPG to determine the duration of pulse cycles and reduce the impact of some other artifacts. Post-processing applied to HRV and PRV indicates that the correction of outliers based on local statistical measures of signals and the autoregressive (AR) model is only important when the PPG is of low quality and has no effect under good signal quality. The main conclusion is that the DWT/IDWT, followed by amplitude demodulation, enables the proper preparation of the PPG signal for the subsequent use of PRV extraction algorithms, particularly at rest. However, post-processing in the proposed form should be applied more in the situations of observed strong artifacts than in motionless laboratory experiments.
Topics: Algorithms; Artifacts; Electrocardiography; Heart Rate; Photoplethysmography; Signal Processing, Computer-Assisted; Wavelet Analysis
PubMed: 36146394
DOI: 10.3390/s22187047 -
Annual International Conference of the... Jul 2022Monitoring of heart rate in patients in the general ward is necessary to assess the clinical situation of the patient. Currently, this is done via spot-checks on pulse...
Monitoring of heart rate in patients in the general ward is necessary to assess the clinical situation of the patient. Currently, this is done via spot-checks on pulse rate manually or on heart rate using Electrocardiogram (ECG) by nurses. More frequent measurements would allow early detection of adverse cardiac events. In this work, we investigate a contactless measurement setup combined with a signal processing pipeline, which is based on speckle vibrometry (SV), to perform contactless heart rate monitoring of human subjects in a supine position, mimicking a resting scenario in the general ward. Our results demonstrate the feasibility of extracting heart rate with SV through varying textile thicknesses (i.e., 8 mm, 32 mm and 64 mm), with an error smaller than 3 beats per minute on average compared to the ground-truth heart rate derived from ECG.
Topics: Electrocardiography; Heart; Heart Rate; Humans; Monitoring, Physiologic; Signal Processing, Computer-Assisted
PubMed: 36086409
DOI: 10.1109/EMBC48229.2022.9871712 -
National Health Statistics Reports Aug 2011This report presents national reference data on resting pulse rate (RPR), for all ages of the U.S. population, from 1999-2008.
OBJECTIVE
This report presents national reference data on resting pulse rate (RPR), for all ages of the U.S. population, from 1999-2008.
METHODS
During 1999-2008, 49,114 persons were examined. From this, a normative sample comprising 35,302 persons was identified as those who did not have a current medical condition or use a medication that would affect the RPR. RPR was obtained after the participant had been seated and had rested quietly for approximately 4 minutes.
RESULTS
RPR is inversely associated with age. There is a mean RPR of 129 beats per minute (standard error, or SE, 0.9) at less than age 1 year, which decreases to a mean RPR of 96 beats/min (SE 0.5) by age 5, and further decreases to 78 beats/min (SE 0.3) in early adolescence. The mean RPR in adulthood plateaus at 72 beats/min (SE 0.2) (p < 0.05 for trend). In addition, there is a significant gender difference, with the male pulse rate plateauing in early adulthood, while the female resting pulse plateaus later when middle-aged. There are two exceptions, that is, infants under age 1 year and adults aged 80 and over, when the mean RPR is statistically and significantly higher in females than in males (females under age 20 have an RPR of 90 beats/min, SE 0.3, and males under age 20 have an RPR of 86 beats/min, SE 0.3, p <0.05; females aged 20 and over have an RPR of 74 beats/min, SE 0.2, and males aged 20 and over have an RPR of 71 beats/min, SE 0.3, p <0.05). After controlling for age effects, non-Hispanic black males have a significantly (p <0.001) lower mean RPR (74 beats/min) than non-Hispanic white males (77 beats/min) and Mexican-American males (76 beats/min). Among females, non-Hispanic black females (79 beats/min) and Mexican-American females (79 beats/min) had statistically and significantly (p < 0.01) lower mean RPRs compared with non-Hispanic white females (80 beats/min). Among males, the prevalence of clinically defined tachycardia (abnormally fast heart rate, RPR 100 beats/min) is 1.3% (95% CI = 1.1-1.7), and the prevalence of clinically defined bradycardia (abnormally slow heart rate, RPR < 60 beats/min) is 15.2% (95% CI = 14.1-16.4). For adult females, these prevalences are 1.9% (95% CI = 1.6-2.3) for clinical tachycardia and 6.9% (95% CI = 6.2-7.8) for clinical bradycardia. Controlling for age, males have higher odds (2.43, 95% CI = 2.09-2.83) of having bradycardia, and notably lower odds (0.71, 95% CI = 0.52-0.97) of having tachycardia than women.
CONCLUSIONS
The data provides current, updated population-based percentiles of RPR, which is one of the key vital signs routinely measured in clinical practice.
Topics: Adolescent; Adult; Age Factors; Aged; Aged, 80 and over; Child; Child, Preschool; Female; Heart Rate; Humans; Infant; Male; Middle Aged; Nutrition Surveys; Reference Standards; Rest; United States; Young Adult
PubMed: 21905522
DOI: No ID Found -
Sensors (Basel, Switzerland) Apr 2023Photoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage...
Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities.
Photoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage of this technology and its viability for underdeveloped countries. This study aims to quantitatively evaluate the performance of a low-cost wireless PPG device in detecting ultra-short-term time-domain pulse rate variability (PRV) parameters in different postures and breathing patterns. A total of 30 healthy subjects were recruited. ECG and PPG signals were simultaneously recorded in 3 min using miniaturized wearable sensors. Four heart rate variability (HRV) and PRV parameters were extracted from ECG and PPG signals, respectively, and compared using analysis of variance (ANOVA) or Scheirer-Ray-Hare test with post hoc analysis. In addition, the data loss was calculated as the percentage of missing sampling points. Posture did not present statistical differences across the PRV parameters but a statistical difference between indicators was found. Strong variation was found for the RMSSD indicator in the standing posture. The sitting position in both breathing patterns demonstrated the lowest data loss (1.0 ± 0.6 and 1.0 ± 0.7) and the lowest percentage of different factors for all indicators. The usage of commercial PPG and BLE devices can allow the reliable extraction of the PPG signal and PRV indicators in real time.
Topics: Humans; Heart Rate; Photoplethysmography; Posture; Healthy Volunteers; Respiration; Electrocardiography
PubMed: 37177450
DOI: 10.3390/s23094246 -
Journal of Applied Physiology May 1953
Topics: Baths; Blood Pressure; Blood Pressure Determination; Cold Temperature; Heart Rate; Humans; Pulse; Vision, Ocular
PubMed: 13052571
DOI: 10.1152/jappl.1953.5.11.677 -
Australasian Physical & Engineering... Sep 2017Designing an efficient automatic emotion recognition system based on physiological signals has attracted great interests within the research of human-machine...
Designing an efficient automatic emotion recognition system based on physiological signals has attracted great interests within the research of human-machine interactions. This study was aimed to classify emotional responses by means of a simple dynamic signal processing technique and fusion frameworks. The electrocardiogram and finger pulse activity of 35 participants were recorded during rest condition and when subjects were listening to music intended to stimulate certain emotions. Four emotion categories, including happiness, sadness, peacefulness, and fear were chosen. Estimating heart rate variability (HRV) and pulse rate variability (PRV), 4 Poincare indices in 10 lags were extracted. The support vector machine classifier was used for emotion classification. Both feature level (FL) and decision level (DL) fusion schemes were examined. Significant differences have been observed between lag 1 Poincare plot indices and the other lagged measures. The mean accuracies of 84.1, 82.9, 79.68, and 76.05% were obtained for PRV, DL, FL, and HRV measures, respectively. However, DL outperformed others in discriminating sadness and peacefulness, using SD and total features, correspondingly. In both cases, the classification rates improved up to 92% (with the sensitivity of 95% and specificity of 83.33%). Totally, DL resulted in better performances compared to FL. In addition, the impact of the fusion rules on the classification performances has been confirmed.
Topics: Algorithms; Emotions; Female; Heart Rate; Humans; Male; Pulse; Young Adult
PubMed: 28717902
DOI: 10.1007/s13246-017-0571-1 -
Annual International Conference of the... Jul 2023Vital sign monitoring is an invaluable tool for healthcare professionals, both in the hospital and at home. Traditional measurement devices provide accurate readings but...
Vital sign monitoring is an invaluable tool for healthcare professionals, both in the hospital and at home. Traditional measurement devices provide accurate readings but require physical contact with the patient which often is unsuitable, furthermore contact-based devices have been reported to fail by loosing contact due to movement as severe events occur, therefore, a contactless method is necessary.We hypothesize that, in ideal scenarios, it is possible to estimate both SpO and pulse rate using only facial video recorded with a smartphone's front-facing camera. To test this hypothesis, a dataset of 10 healthy subjects performing various breathing patterns while being recorded with a smartphone camera was collected during ideal lighting conditions.Using advanced image and signal processing methods to acquire remote photoplethysmography (rPPG) estimates from a patient's forehead, our proposed method can achieve SpO estimation results with A = 1.34% (accuracy RMS) and MAE ± STD = 1.26 ± 0.68% (mean average error) across a SpO range of 92% to 99% (percentage point SpO) and pulse rate estimation results with A = 3.91 bpm (beats per minute) and MAE ± STD = 3.24±2.11 bpm across a pulse rate range of 60 bpm to 90 bpm. We conclude from these results, that remote vital sign estimation using facial videos recorded entirely with a smartphone camera is possible.
Topics: Humans; Heart Rate; Smartphone; Oxygen Saturation; Face; Signal Processing, Computer-Assisted
PubMed: 38083785
DOI: 10.1109/EMBC40787.2023.10340995 -
Health Informatics Journal Jun 2016There are downloadable applications (Apps) for cell phones that can measure heart rate in a simple and painless manner. The aim of this study was to assess the...
There are downloadable applications (Apps) for cell phones that can measure heart rate in a simple and painless manner. The aim of this study was to assess the reliability of this type of App for a Smartphone using an Android system, compared to the radial pulse and a portable pulse oximeter. We performed a pilot observational study of diagnostic accuracy, randomized in 46 healthy volunteers. The patients' demographic data and cardiac pulse were collected. Radial pulse was measured by palpation of the radial artery with three fingers at the wrist over the radius; a low-cost portable, liquid crystal display finger pulse oximeter; and a Heart Rate Plus for Samsung Galaxy Note®. This study demonstrated high reliability and consistency between systems with respect to the heart rate parameter of healthy adults using three systems. For all parameters, ICC was > 0.93, indicating excellent reliability. Moreover, CVME values for all parameters were between 1.66-4.06 %. We found significant correlation coefficients and no systematic differences between radial pulse palpation and pulse oximeter and a high precision. Low-cost pulse oximeter and App systems can serve as valid instruments for the assessment of heart rate in healthy adults.
Topics: Adult; Cell Phone; Female; Healthy Volunteers; Heart Rate; Humans; Male; Mobile Applications; Oximetry; Reproducibility of Results
PubMed: 25038201
DOI: 10.1177/1460458214540909