The symphony of life. Importance, interaction, and visualization of biological rhythms

Pulse respiration quotient as a measure sensitive to changes in dynamic behavior of cardiorespiratory coupling such as body posture and breathing regime

Objective: In this research we explored the (homeo)dynamic character of cardiorespiratory coupling (CRC) under the influence of different body posture and breathing regimes. Our tool for it was the pulse respiration quotient (PRQ), representing the number of heartbeat intervals per breathing cycle. We obtained non-integer PRQ values using our advanced Matlab^® algorithm and applied it on the signals of 20 healthy subjects in four conditions: supine position with spontaneous breathing (Supin), standing with spontaneous breathing (Stand), supine position with slow (0.1 Hz) breathing (Supin01) and standing with slow (0.1 Hz) breathing (Stand01). Main results: Linear features of CRC (in PRQ signals) were dynamically very sensitive to posture and breathing rhythm perturbations. There are obvious increases in PRQ mean level and variability under the separated and joined influence of orthostasis and slow (0.1 Hz) breathing. This increase was most pronounced in Stand01 as the state of joint influences. Importantly, PRQ dynamic modification showed greater sensitivity to body posture and breathing regime changes than mean value and standard deviation of heart rhythm and breathing rhythm. In addition, as a consequence of prolonged supine position, we noticed the tendency to integer quantization of PRQ (especially after 14 min), in which the most common quantization number was 4:1 (demonstrated in other research reports as well). In orthostasis and slow breathing, quantization can also be observed, but shifted to other values. We postulate that these results manifest resonance effects induced by coupling patterns from sympathetic and parasympathetic adjustments (with the second as dominant factor). Significance: Our research confirms that cardiorespiratory coupling adaptability could be profoundly explored by precisely calculated PRQ parameter since cardiorespiratory regulation in healthy subjects is characterized by a high level of autonomic adaptability (responsiveness) to posture and breathing regime, although comparisons with pathological states has yet to be performed. We found Stand01 to be the most provoking state for the dynamic modification of PRQ (cardiorespiratory inducement). As such, Stand01 has the potential of using for PRQ tuning by conditioning the cardiorespiratory autonomic neural networks, e.g., in the cases where PRQ is disturbed by environmental (i.e., microgravity) or pathologic conditions.

Cardiac vagal activity is associated with gut-microbiome patterns in women-An exploratory pilot study

Introduction

A functional reciprocity between the gut microbiome and vagal nerve activity has been suggested, however, human studies addressing this phenomenon are limited.

Methods

Twenty-four-hour cardiac vagal activity (CVA) was assessed from 73 female participants (aged 24.5 ± 4.3 years). Additionally, stool samples were subjected to 16SrRNA gene analysis (V1–V2). Quantitative Insights Into Microbial Ecology (QIIME) was used to analyse microbiome data. Additionally, inflammatory parameters (such as CRP and IL-6) were derived from serum samples.

Results

Daytime CVA correlated significantly with gut microbiota diversity (r_sp = 0.254, p = 0.030), CRP (r_sp = −0.348, p = 0.003), and IL-6 (r_sp = −0.320, p = 0.006). When the group was divided at the median of 24 h CVA (Mdn = 1.322), the following features were more abundant in the high CVA group: Clostridia (Linear discriminant analysis effect size (LDA) = 4.195, p = 0.029), Clostridiales (LDA = 4.195, p = 0.029), Lachnospira (LDA = 3.489, p = 0.004), Ruminococcaceae (LDA = 4.073, p = 0.010), Faecalibacterium (LDA = 3.982, p = 0.042), Lactobacillales (LDA = 3.317, p = 0.029), Bacilli (LDA = 3.294, p = 0.0350), Streptococcaceae (LDA = 3.353, p = 0.006), Streptococcus (LDA = 3.332, p = 0.011). Based on Dirichlet multinomial mixtures two enterotypes could be detected, which differed significantly in CVA, age, BMI, CRP, IL-6, and diversity.

Conclusions

As an indicator of gut-brain communication, gut microbiome analysis could be extended by measurements of CVA to enhance our understanding of signalling via microbiota-gut-brain-axis and its alterations through psychobiotics.

Driver Monitoring of Automated Vehicles by Classification of Driver Drowsiness Using a Deep Convolutional Neural Network Trained by Scalograms of ECG Signals

Driver drowsiness is one of the leading causes of traffic accidents. This paper proposes a new method for classifying driver drowsiness using deep convolution neural networks trained by wavelet scalogram images of electrocardiogram (ECG) signals. Three different classes were defined for drowsiness based on video observation of driving tests performed in a simulator for manual and automated modes. The Bayesian optimization method is employed to optimize the hyperparameters of the designed neural networks, such as the learning rate and the number of neurons in every layer. To assess the results of the deep network method, heart rate variability (HRV) data is derived from the ECG signals, some features are extracted from this data, and finally, random forest and k-nearest neighbors (KNN) classifiers are used as two traditional methods to classify the drowsiness levels. Results show that the trained deep network achieves balanced accuracies of about 77% and 79% in the manual and automated modes, respectively. However, the best obtained balanced accuracies using traditional methods are about 62% and 64%. We conclude that designed deep networks working with wavelet scalogram images of ECG signals significantly outperform KNN and random forest classifiers which are trained on HRV-based features.

Cardiorespiratory Interaction and Autonomic Sleep Quality Improve during Sleep in Beds Made from Pinus cembra (Stone Pine) Solid Wood

Cardiorespiratory interactions (CRIs) reflect the mutual tuning of two important organismic oscillators—the heartbeat and respiration. These interactions can be used as a powerful tool to characterize the self-organizational and recreational quality of sleep. In this randomized, blinded and cross-over design study, we investigated CRIs in 15 subjects over a total of 253 nights who slept in beds made from different materials. One type of bed, used as control, was made of melamine faced chipboard with a wood-like appearance, while the other type was made of solid wood from stone pine (Pinus cembra). We observed a significant increase of vagal activity (measured by respiratory sinus arrhythmia), a decrease in the heart rate (as an indicator of energy consumption during sleep) and an improvement in CRIs, especially during the first hours of sleep in the stone pine beds as compared to the chipboard beds. Subjective assessments of study participants’ well-being in the morning and sub-scalar assessments of their intrapsychic stability were significantly better after they slept in the stone pine bed than after they slept in the chipboard bed. Our observations suggest that CRIs are sensitive to detectable differences in indoor settings that are relevant to human health. Our results are in agreement with those of other studies that have reported that exposure to volatile phytochemical ingredients of stone pine (α-pinene, limonene, bornyl acetate) lead to an improvement in vagal activity and studies that show a reduction in stress parameters upon contact with solid wood surfaces.

Changes in Humans' Autonomic Nervous System under Dynamic Lighting Environment During A Short Rest

Overloaded work and life stress often result in excessive fatigue and stresses in people, further leading to psychological burden and physiological disease. In this case, good rest is important in busy life. Good rest could result in good quality of life and work efficiency. In order to assist people in getting into deep rest to obtain a restorative state after fatigue, a dynamic lighting system with low-frequency change for assisting users in effective relaxation is proposed in this study. Heart rate variability analysis is used for discussing the change in the autonomic nervous system of the subjects under dynamic lighting environment, and a self-report questionnaire is applied to understand the subjects' psychological feeling. The research results indicate that the subjects significantly showed enhancement in the activities of parasympathetic nervous system within 25 minutes in the dynamic lighting process, in comparison with the steady lighting system. The questionnaire survey results also reveal that the subjects receive higher quality of rest, after the dynamic and low-illuminance lighting stimuli, with good feeling.

General and Disease-Specific Health Indicator Changes Associated with Inpatient Rehabilitation

OBJECTIVES

Rehabilitation plays a vital role in the mitigation and improvement of functional limitations associated with aging and chronic conditions. Moderating factors such as sex, age, the medical diagnosis, and rehabilitation timing for admission status, as well as the expected change related to inpatient rehabilitation, are examined to provide a valid basis for the routine assessment of the quality of medical outcomes.

DESIGN

An observational study was carried out, placing a focus on general and disease-specific health measurements, to assess representative results of multidisciplinary inpatient rehabilitation. Aspects that were possibly confounding and introduced bias were controlled based on data from a quasi-experimental (waiting) control group.

MEASURES

Existing data or general health indicators were extracted from medical records. The indicators included blood pressure, resting heart rate, self-assessed health, and pain, as well as more disease-specific indicators of physical function and performance (eg, activities of daily living, walking tests, blood lipids). These are used to identify moderating factors related to health outcomes.

SETTING AND PARTICIPANTS

A standardized collection of routine data from 16,966 patients [61.5 ± 12.5 years; 7871 (46%) women, 9095 (54%) men] with different medical diagnoses before and after rehabilitation were summarized using a descriptive evaluation in terms of a content and factor analysis.

RESULTS

Without rehabilitation, general health indicators did not improve independently and remained stable at best [odds ratio (OR) = 0.74], whereas disease-specific indicators improved noticeably after surgery (OR = 3.20). Inpatient rehabilitation was shown to reduce the risk factors associated with certain lifestyles, optimize organ function, and improve well-being in most patients (>70%; cutoff: z-difference >0.20), with a standardized mean difference (SMD) seen in overall medical quality outcome of -0.48 ± 0.37 [pre- vs post-rehabilitation: η_p² = 0.622; d_Cohen = -1.22; 95% confidence interval (95% CI) -1.24 to -1.19]. The baseline medical values obtained at the beginning of rehabilitation were influenced by indication, age, and sex (all P < .001); however, these factors have less significant effects on improvements in general health indicators (η_p² < 0.01). According to the disease-specific results, the greatest improvements were found in older patients (SMD for patients >60 vs ≤60 years: 95% CI 0.08-0.11) and during the early rehabilitation stage (η_p² = 0.063).

CONCLUSIONS AND IMPLICATIONS

Compared with those who received no inpatient rehabilitation, patients who received rehabilitation showed greater improvements in 2 independent areas, general and disease-specific health measures, regardless of their diagnosis, age, and sex. Due to the study design and the use of a nonrandomized waiting group, causal conclusions must be drawn with caution. However, the comparability and stability of the presented results strongly support the validity of the observed improvements associated with inpatient rehabilitation.

Heart Rhythm Analyzed via Shapelets Distinguishes Sleep From Awake

Automatically determining when a person falls asleep from easily available vital signals is important, not just for medical applications but also for practical ones, such as traffic safety or smart homes. Heart dynamics and respiration cycle couple differently during sleep and awake. Specifically, respiratory modulation of heart rhythm or respiratory sinus arrhythmia (RSA) is more prominent during sleep, as both sleep and RSA are connected to strong vagal activity. The onset of sleep can be recognized or even predicted as the increase of cardio-respiratory coupling. Here, we employ this empirical fact to design a method for detecting the change of consciousness status (sleep/awake) based only on heart rate variability (HRV) data. Our method relies on quantifying the (self)similarity among shapelets - short chunks of HRV time series - whose "shapes" are related to the respiration cycle. To test our method, we examine the HRV data of 75 healthy individuals recorded with microsecond precision. We find distinctive patterns stable across age and sex, that are not only indicative of sleep and awake, but allow to pinpoint the change from awake to sleep almost immediately. More systematic analysis along these lines could lead to a reliable prediction of sleep.

Dynamics of Vagal Activity Due to Surgery and Subsequent Rehabilitation

Background

Vagal activity is critical for maintaining key body functions, including the stability of inflammatory control. Its weakening, such as in the aftermatch of a surgery, leaves the body vulnerable to diverse inflammatory conditions, including sepsis.

Methods

Vagal activity can be measured by the cardiorespiratory interaction known as respiratory sinus arrhythmia or high-frequency heart-rate variability (HRV). We examined the vagal dynamics before, during and after an orthopedic surgery. 39 patients had their HRV measured around the period of operation and during subsequent rehabilitation. Measurements were done during 24 h circadian cycles on ten specific days. For each patient, the circadian vagal activity was calculated from HRV data.

Results

Our results confirm the deteriorating effect of surgery on vagal activity. Patients with stronger pre-operative vagal activity suffer greater vagal withdrawal during the peri-operative phase, but benefit from stronger improvements during post-operative period, especially during the night. Rehabilitation seems not only to efficiently restore the vagal activity to pre-operative level, but in some cases to actually improve it.

Discussion

Our findings indicate that orthopedic rehabilitation has the potential to strengthen the vagal activity and hence boost inflammatory control. We conclude that providing a patient with a vagal reinforcement procedure prior to the surgery (“pre-habilitation”) might be a beneficial strategy against post-operative complications. The study also shows the clinical usefulness of quantifying the cardiorespiratory interactions.

Automated Analysis of Intracellular Dynamic Processes

The study of intracellular dynamic processes is of fundamental importance for understanding a wide variety of diseases and developing effective drugs and therapies. Advanced fluorescence microscopy imaging systems nowadays allow the recording of virtually any type of process in space and time with super-resolved detail and with high sensitivity and specificity. The large volume and high information content of the resulting image data, and the desire to obtain objective, quantitative descriptions and biophysical models of the processes of interest, require a high level of automation in data analysis. Two key tasks in extracting biologically meaningful information about intracellular dynamics from image data are particle tracking and particle trajectory analysis. Here we present state-of-the-art software tools for these tasks and describe how to use them.

Investigation of a Micro-test for Circulatory Autonomic Nervous System Responses

Aims and Objectives: The autonomic nervous system plays an important role in homeostasis and organismic recreation, control of immune function, inflammation, and bone growth. It also regulates blood pressure and orthostasis via vagal and sympathetic pathways. Besides recording of heart rate variability (HRV), which characterizes medium (1–5 min) and long term (circadian) autonomic tone or modulation, no gentle tests of short-term autonomic reactivity and control are available. In 1976 Nogier described a short time cardiovascular response (“Réflexe Auriculo Cardiaque”, RAC) which could be used to investigate short term autonomic reactions without changing system characteristics and thus being repeatable in short intervals. In this paper, we investigated the possible application of the Nogier reaction as a micro-test for the identification of a disturbed sensitivity or reactivity of the autonomic nervous system.

Methods: We statistically analyzed cardiovascular signals derived during the application of small repeated stimuli utilizing methods of signal averaging to characterize the physiological background. Specifically, the Nogier reaction was investigated using simultaneous recordings of ECG, pulse waves, and respiration.

Results: Significant fast (delay 1–5 s) and slower (delay 6–12 s) cardio-autonomic responses to different stimuli which characterize short term were observed. From time characteristics and type of signals where they occur we deduce that fast changes observed in heart rate are vagal reactions to the small stimuli whereas slower changes observed in pulse waves stem from sympathetic nervous system responses.

Conclusions: The investigated autonomic micro-test opens the possibility to differentially investigate both limbs of the autonomic nervous system with minimal stimuli. It can be performed within seconds and does not change the set point of the system in opposition to less subtle tests such as Valsalva maneuver. Therefore, it is well-suited for quick, repeated measurements of autonomic nervous system reactivity.

[Cardiodoron® bei Patienten mit Schlafstörungen - Ergebnisse einer prospektiven Beobachtungsstudie]

Hintergrund: Schlafstörungen gehören zu den häufigsten gesundheitlichen Problemen der heutigen Zeit. Stress und die dadurch bedingte innere Anspannung sowie eine unrhythmische Lebensführung z.B. durch Schichtarbeit sind bekannte auslösende Faktoren. Weniger bekannt ist, dass auch funktionelle Herz-Kreislauf-Beschwerden zu Störungen des Schlafs führen können und dass deren Behandlung zu einer Verbesserung der Schlafqualität beiträgt. Ganzheitlich betrachtet geht es daher um die Wiederherstellung einer gesunden Rhythmik, insbesondere des Herz-/Atem- sowie des Schlaf-Wach-Rhythmus, die Cardiodoron®, eine Heilpflanzenkomposition aus Primula veris, Hyoscyamus niger und Onopordum acanthium, unterstützt. Patienten und Methoden: Mittels einer prospektiven, multizentrischen Beobachtungsstudie sollte ermittelt werden, wie sich funktionelle Herz-Kreislauf-Beschwerden und/oder Schlafstörungen unter der Behandlung mit Cardiodoron® (Dilution) über 3-6 Monate entwickeln. Im Zeitraum von September 2009 bis März 2012 dokumentierten 92 Ärzte 501 Patienten, von denen 380 über Schlafstörungen klagten und deren Daten in dieser Publikation näher betrachtet werden. Nach einer Aufnahmeuntersuchung erfolgte nach 90 Tagen eine Abschlussuntersuchung und bei Fortführung der Therapie nach nochmals 90 Tagen eine Follow-up-Untersuchung. Neben 30 ärztlicherseits bewerteten Symptomen beurteilten die Patienten ihr Befinden mittels Pittsburgh Sleep Quality Index (PSQI) nach Buysse und der Beschwerden-Liste nach von Zerssen (B-L und B-L'). Ergebnisse: Unter der Cardiodoron®-Therapie gingen bei guter Verträglichkeit sowohl die Ausprägung der Schlafstörungen (um 65% von 2,0 auf 0,7 Punkte) als auch die erfassten 30 Symptome (um 59% von 24,3 auf 9,9 Punkte) deutlich zurück (p < 0,01). Weiterhin reduzierten sich der PSQI und der Gesamtwert der Beschwerden-Liste signifikant (p < 0,0001) um 60% bzw. 56% (von 12,2 auf 4,8 bzw. von 25,6 auf 11,4 Punkte). Schlussfolgerungen: Bei Patienten mit Schlafstörungen (mit oder ohne funktionelle Herz-Kreislauf-Beschwerden) kann die Ausprägung der Beschwerden mit Cardiodoron® deutlich gesenkt werden. Cardiodoron® ist gut verträglich.

The sympathy of two pendulum clocks: beyond Huygens' observations

This paper introduces a modern version of the classical Huygens’ experiment on synchronization of pendulum clocks. The version presented here consists of two monumental pendulum clocks—ad hoc designed and fabricated—which are coupled through a wooden structure. It is demonstrated that the coupled clocks exhibit ‘sympathetic’ motion, i.e. the pendula of the clocks oscillate in consonance and in the same direction. Interestingly, when the clocks are synchronized, the common oscillation frequency decreases, i.e. the clocks become slow and inaccurate. In order to rigorously explain these findings, a mathematical model for the coupled clocks is obtained by using well-established physical and mechanical laws and likewise, a theoretical analysis is conducted. Ultimately, the sympathy of two monumental pendulum clocks, interacting via a flexible coupling structure, is experimentally, numerically, and analytically demonstrated.

Oscillatory haematopoiesis in adults with sickle cell disease treated with hydroxycarbamide

Hydroxycarbamide therapy has been associated with significant oscillations in peripheral blood counts from myeloid, lymphoid and erythroid lineages in patients with polycythaemia vera and chronic myeloid leukaemia. We retrospectively evaluated serial blood counts over an 8-year period from 44 adult patients with sickle cell disease receiving hydroxycarbamide. Platelet counts, leucocyte counts, haemoglobin values and reticulocyte counts, apportioned by hydroxycarbamide status, were analysed using a Lomb-Scargle periodogram algorithm. Significant periodicities were present in one or more counts in 38 patients receiving hydroxycarbamide for a mean duration of 4·81 years. Platelet and leucocyte counts oscillated in 56·8% and 52·3% of patients, respectively. These oscillations generally became detectable within days of initiating therapy. During hydroxycarbamide therapy, the predominant periods of oscillation were 27 ± 1 d for platelet counts and 15 ± 1 d for leucocyte counts. Despite an absolute decrease in leucocyte and platelet counts during hydroxycarbamide treatment, the amplitudes between nadirs and zeniths remained similar regardless of exposure. Our observations appear consistent with previously proposed models of cyclic haematopoiesis, and document that hydroxycarbamide-induced oscillations in blood counts are innocuous phenomena not limited to myeloproliferative disorders as described previously. We speculate the known cell cycle inhibitory properties of hydroxycarbamide may accentuate otherwise latent constitutive oscillatory haematopoiesis.

In vivo cardiac phase response curve elucidates human respiratory heart rate variability

Recovering interaction of endogenous rhythms from observations is challenging, especially if a mathematical model explaining the behaviour of the system is unknown. The decisive information for successful reconstruction of the dynamics is the sensitivity of an oscillator to external influences, which is quantified by its phase response curve. Here we present a technique that allows the extraction of the phase response curve from a non-invasive observation of a system consisting of two interacting oscillators--in this case heartbeat and respiration--in its natural environment and under free-running conditions. We use this method to obtain the phase-coupling functions describing cardiorespiratory interactions and the phase response curve of 17 healthy humans. We show for the first time the phase at which the cardiac beat is susceptible to respiratory drive and extract the respiratory-related component of heart rate variability. This non-invasive method for the determination of phase response curves of coupled oscillators may find application in many scientific disciplines.

Physiologic effects of rhythmical massage: a prospective exploratory cohort study

OBJECTIVE

This study was performed to characterize the physiologic effects of rhythmical massage (RM), an anthroposophic therapy whose effectiveness is supported by empirical observations and a prospective observational study.

METHODS

Patients referred to RM at the Paracelsus Hospital Richterswil for any indication were continuously enrolled. They received an average of 10 RM sessions, which included not only the massage but also therapeutic rest in the supine position immediately thereafter. Effects of RM on surface temperature and on heart rate variability (HRV) were determined with infrared imaging (IRI) and electrocardiography (ECG), respectively. IRI of the patients' dorsal region was performed without clothes, in standing position, at the start and at the end of two waiting periods before and after RM. ECG was performed from the beginning of the first waiting period until the end of the second one.

RESULTS

Results on IRI from 9 and ECG from 11 patients could be analyzed. RM led to an immediate increase in dorsal temperature. Furthermore, comparison of the IRI images for consecutive RM sessions showed a tendency toward improved warmth distribution as a progressive therapy effect. Analysis of the EGC results recorded during the waiting periods-in the sitting position--showed a significant increase of HRV after RM, as detected by the standard deviation of the beat-to-beat periods and a relative increase of low-frequency power. During the course of the RM sessions, the change in HRV during the therapeutic rest period depended on the initial value: Low initial values were enhanced, whereas high ones were reduced.

CONCLUSIONS

RM led to an immediate increase in the patient's dorsal surface temperature, as well as increased HRV and sympathetic stimulation. In the long term, RM resulted in a progressive improvement of warmth distribution and regulation of the resting HRV.

Teaching the principle of biological optimization

Among the important principles in biology that should be taught in biological engineering educational programs is the principle of optimization, what it means, why it is important, and how it comes about. This material can be presented at numerous levels throughout the curriculum. Understanding of this principle can lead biological engineers to expect it in many, if not all, biological system applications. Understanding optimization in biological systems can help understand the predictive power of evolutionary principles and what to expect from living things incorporated in designs.

Variation of respiratory resistance suggests optimization of airway caliber

Physiologically optimized processes, such as respiration, walking, and cardiac function, usually show a range of variability about the optimized value. Airway resistance has, in the past, been noted as variable, and this variability has been connected to pulmonary disease (e.g., asthma). A hypothesis was presented many years ago that postulated airway resistance as an optimized parameter in healthy individuals, and we have noticed that respiratory measurements made with the airflow perturbation device (APD) tend to be variable in nature. It was posited that this variability indicates that respiratory resistance is optimized similarly to other physiological processes. Fifty subjects with a wide range of demographics volunteered to have 100 measurements made of their respiratory resistances. Resistances were separated into inhalation and exhalation phases. These were plotted and shown to have frequency distributions that were consistent with expectations for an optimized process. The frequency distributions were not quite symmetrical, being skewed slightly toward upper resistances. Comparison between subject data and data from a mechanical respiratory analog showed that subject resistance variation is overwhelmingly from the respiratory system and not from the APD.

Tracking in cell and developmental biology

The past decade has seen an unprecedented data explosion in biology. It has become evident that in order to take full advantage of the potential wealth of information hidden in the data produced by even a single experiment, visual inspection and manual analysis are no longer adequate. To ensure efficiency, consistency, and completeness in data processing and analysis, computational tools are essential. Of particular importance to many modern live-cell imaging experiments is the ability to automatically track and analyze the motion of objects in time-lapse microscopy images. This article surveys the recent literature in this area. Covering all scales of microscopic observation, from cells, down to molecules, and up to entire organisms, it discusses the latest trends and successes in the development and application of computerized tracking methods in cell and developmental biology.