Recovery of heart rate variability after treadmill exercise analyzed by lagged Poincaré plot and spectral characteristics

© 2017 International Federation for Medical and Biological Engineering The aim of this study was to analyze the recovery of heart rate variability (HRV) after treadmill exercise and to investigate the autonomic nervous system response after exercise. Frequency domain indices, i.e., LF(ms 2 ), HF(ms 2 ), LF(n.u.), HF(n.u.) and LF/HF, and lagged Poincaré plot width (SD1 m ) and length (SD2 m ) were introduced for comparison between the baseline period (Pre-E) before treadmill running and two periods after treadmill running (Post-E1 and Post-E2). The correlations between lagged Poincaré plot indices and frequency domain indices were applied to reveal the long-range correlation between linear and nonlinear indices during the recovery of HRV. The results suggested entirely attenuated autonomic nervous activity to the heart following the treadmill exercise. After the treadmill running, the sympathetic nerves achieved dominance and the parasympathetic activity was suppressed, which lasted for more than 4 min. The correlation coefficients between lagged Poincaré plot indices and spectral power indices could separate not only Pre-E and two sessions after the treadmill running, but also the two sessions in recovery periods, i.e., Post-E1 and Post-E2. Lagged Poincaré plot as an innovative nonlinear method showed a better performance over linear frequency domain analysis and conventional nonlinear Poincaré plot

A preliminary attempt to understand compatibility of photoplethysmographic pulse rate variability with electrocardiogramic heart rate variability

We investigated the difference between heart rate variability (HRV) derived from electrocardiogramic (ECG) signals and pulse rate variability (PRV) derived from photoplethysmographic (PPG) signals. Ten-minute recordings of finger and ear photoplethysmogram (PPG) and Lead I electrocardiogram (ECG) were collected in fourteen healthy subjects. In this study, analyses accounting for time and frequency domain, agreement, correlation coefficient and geometrical distribution were utilized to process the ear pulse rate variability (ePRV) and finger pulse rate variability (fPRV). The agreement analysis showed high degree of agreement (Bland-Altman ratio < 0.1) between ePRV or fPRV of PPG and HRV of ECG for all the parameters except the normal-to-normal (NN) range with a moderate agreement (0.1 < Bland-Altman ratio < 0.2). Highly significant (p < 0.001) correlations (0.97 < r <1) were found between HRV and ePRV or fPRV parameters except in the NN range, where the r values were 0.92 and 0.85, respectively. Also, the experimental results indicated that the frequency-domain parameters appeared inadequate in statistical analysis. Both fPRV and ePRV were acceptable surrogates for time-domain HRV study, especially when the ECG recording was unavailable and inconvenient. Photolethysmography could offer a simple and robust means to fulfill the requirements of rhythmical pulsation assessment

An optimization study of estimating blood pressure models based on pulse arrival time for continuous monitoring

Continuous blood pressure (BP) monitoring has a significant meaning for the prevention and early diagnosis of cardiovascular disease. However, under different calibration methods, it is difficult to determine which model is better for estimating BP. This study was firstly designed to reveal a better BP estimation model by evaluating and optimizing different BP models under a justified and uniform criterion, i.e., the advanced point-to-point pairing method (PTP). Here, the physical trial in this study caused the BP increase largely. In addition, the PPG and ECG signals were collected while the cuff bps were measured for each subject. The validation was conducted on four popular vascular elasticity (VE) models (MK-EE, L-MK, MK-BH, and dMK-BH) and one representative elastic tube (ET) model, i.e., M-M. The results revealed that the VE models except for L-MK outperformed the ET model. The linear L-MK as a VE model had the largest estimated error, and the nonlinear M-M model had a weaker correlation between the estimated BP and the cuff BP than MK-EE, MK-BH, and dMK-BH models. Further, in contrast to L-MK, the dMK-BH model had the strongest correlation and the smallest difference between the estimated BP and the cuff BP including systolic blood pressure (SBP) and diastolic blood pressure (DBP) than others. In this study, the simple MK-EE model showed the best similarity to the dMK-BH model. There were no significant changes between MK-EE and dMK-BH models. These findings indicated that the nonlinear MK-EE model with low estimated error and simple mathematical expression was a good choice for application in wearable sensor devices for cuff-less BP monitoring compared to others

A remote approach to measure blood perfusion from the human face

A CMOS camera-based imaging photoplethysmography (PPG) system has been previously demonstrated for the contactless measurement of skin blood perfusion over a wide tissue area. An improved system with a more sensitive CCD camera and a multi-wavelength RCLED ring light source was developed to measure blood perfusion from the human face. The signals acquired by the PPG imaging system were compared to signals captured concurrently from a conventional PPG finger probe. Experimental results from eight subjects demonstrate that the camera-based PPG imaging technique is able to measure pulse rate and blood perfusion

Development of a remote photoplethysmographic technique for human biometrics

Non-contact reflection photoplethysmography (NRPPG) is being developed to trace pulse features for comparison with contact photoplethysmography (CPPG). Simultaneous recordings of CPPG and NRPPG signals from 22 healthy subjects were studied. The power spectrum of PPG signals were analysed and compared between NRPPG and CPPG. The recurrence plot (RP) was used as a graphical tool to visualize the time dependent behaviour of the dynamics of the pulse signals. The agreement between NRPPG and CPPG for physiological monitoring, i.e. HRV parameters, was determined by means of the Bland-Altman plot and Pearson’s correlation coefficient. The results indicated that NRPPG could be used for the assessment of cardio-physiological signals

A study of the dynamic relation between physiological changes and spontaneous expressions

Recent progress in Affective Computing (AC) has enabled integration of physiological cues and spontaneous expressions to reveal a subject’s emotional state. Due to the lack of an effective technique for evaluating multimodal correlations, experience and intuition play a main role in present AC studies when fusing affective cues or modalities, resulting in unexpected outcomes. This study seeks to demonstrate a dynamic correlation between two such affective cues, physiological changes and spontaneous expressions, which were obtained by a combination of stereo vision based tracking and imaging photoplethysmography (iPPG), with a designed protocol involving 20 healthy subjects. The two cues obtained were sampled into a Statistical Association Space (SAS) to evaluate their dynamic correlation. It is found that the probability densities in the SAS increase as the peaks in two cues are approached. Also the complex form of the high probability density region in the SAS suggests a nonlinear correlation between two cues. Finally the cumulative distribution on the zero time-difference surface is found to be small (<0.047) demonstrating a lack of simultaneity. These results show that the two cues have a close interrelation, that is both asynchronous and nonlinear, in which a peak of one cue heralds a peak in the other

Non-contact reflection photoplethysmography towards effective human physiological monitoring

A non-contact reflection photoplethysmography (NRPPG) with its engineering model was created to access human physiological information. The NRPPG engineering setup with a vertical cavity surface emitting laser (VCSEL) as a light source and a high-speed PiN photodiode as a photodetector was configured based upon the principles of light-tissue interaction and Beer-Lambert’s law. In this paper, we present three aspects of the NRPPG performance: (1) photonics engineering work to capture photoplethysmographic signals with a non-contact manner in an optimal setup of the NRPPG; (2) a 5-minute protocol with 22 participants to determine a good agreement between NRPPG and contact photoplethysmography (CPPG) by means of Bland-Altman statistical analysis and Pearson’s correlation coefficient; and (3) a physiological experiment designed for cardiac-physiological monitoring utilizing NRPPG. The experimental results suggest that clean PPG signal can be obtained between 30-110 mm. The outcome from agreement study indicates that the performance of NRPPG is compatible with CPPG. The NRPPG technique has great potential in cardiac-physiological assessment in a required clinical circumstance

The response of the autonomic nervous system to passive lower limb movement and gender differences

The aim of the present study was to identify the response of the autonomic nervous system (ANS) to passive lower limb movement and to determine whether there are gender differences. The experimental sets included 5 cycles per minute (CPM5), 10 cycles per minute (CPM10) and 15 cycles per minute (CPM15) on the passive cycling machine. ANS activity was measured using heart rate variability time domain analysis (RR interval, pNN50, RMSSD and SDNN), frequency domain analysis (TF, LF, HF and LF/HF) and Poincaré plot analysis (SD1, SD2 and SD1/SD2 ratio). The collected signal at rest served as the baseline (rest). Compared with the parameters at rest, the male subjects had decreased pNN50, decreased SDNN, lower TP and LF power (ms2), suppressed LF (n.u.), augmented HF (n.u.), suppressed LF/HF, decreased SD2 and increased SD1/SD2 ratios in response to CPM5 or CPM10 (all P < 0.05). Compared with the parameters at rest, decreased LF/HF and increased SD1/SD2 in response to CPM5 or CPM10 (all P < 0.05) were the only changes in the female subjects. LF/HF and SD1/SD2 differed between both groups for the same level of passive lower limb movement (all P < 0.05). These results suggest that passive lower limb movement leads to an ANS response and that male subjects are more sensitive to passive lower limb movements. During passive leg movements, sympathetic nervous activity is largely suppressed, and vagal activity achieves dominance. The response of the ANS to passive leg movement is determined by gender

Influence of computer work under time pressure on cardiac activity

Computer users are often under stress when required to complete computer work within a required time. Work stress has repeatedly been associated with an increased risk for cardiovascular disease. The present study examined the effects of time pressure workload during computer tasks on cardiac activity in 20 healthy subjects. Heart rate, time domain and frequency domain indices of heart rate variability (HRV) and Poincare plot parameters were compared among five computer tasks and two rest periods. Faster heart rate and decreased standard deviation of R-R interval were noted in response to computer tasks under time pressure. The Poincare plot parameters showed significant differences between different levels of time pressure workload during computer tasks, and between computer tasks and the rest periods. In contrast, no significant differences were identified for the frequency domain indices of HRV. The results suggest that the quantitative Poincare plot analysis used in this study was able to reveal the intrinsic nonlinear nature of the autonomically regulated cardiac rhythm. Specifically, heightened vagal tone occurred during the relaxation computer tasks without time pressure. In contrast, the stressful computer tasks with added time pressure stimulated cardiac sympathetic activity

Analysis of pulse rate variability derived from photoplethysmography with the combination of lagged Poincare plots and spectral characteristics

A combination of lagged Poincaré plots and spectral characteristics were used to investigate the effect of cigarette smoking on the autonomic nervous system (ANS). Heart rate variability (HRV) was determined from pulse-to-pulse intervals (PPI) of ear photoplethysmography (PPG) waveforms. Spectral power analysis of the pulse rate variability (PRV)was performed to determine lowfrequency (LF) and high frequency (HF) components, and a lagged Poincaré plot was introduced to evaluate the nonlinear characteristics of PRV. The correlations between lagged Poincaré plot and spectral power indices were studied in a group of apparently healthy habitual cigarette smokers and compared to non-smokers. The width (SD1m) and the length (SD2m) of lagged Poincaré plots significantly shrunk in the smokers for all lags (p < 0.05) except SD14 and SD15. The results of this pilot study indicated that habitual smoking is associated with parasympathetic withdrawal and augments sympathetic nerve activity. The results also demonstrated that the combination of lagged Poincaré plots and spectral characteristics could show promise as a method for distinguishing between different cardiovascular disease groups