Early Effects of Neonatal Rat Desympathization on Secondary Heart Rhythms

Neonatal Wistar rats for the first 3 weeks of life were injected intraperitoneally with isobarine every other day. The single doze was 40 mg/kg. Control animals were injected with saline. Degenerative changes in sympathetic ganglia were evident as early as in the 10-day old animals and increased by 18–19 days. The heart rate in the desympathized animals was lower than in control from 10–11 to 18–19 days, but by the end of the 3rd week the differences were eliminated. The same occurred with respiration rate. At same terms there was an essential decrease of amplitude of the heart rate high-frequency fluctuations synchronous with respiration and of the periodogram slow waves with the period about 1 min. Using the method of fast Fourier transform, the power spectra of heart rate fluctuations (secondary heart rhythms) in 5 frequency ranges (0–0.01, 0.01–0.03, 0.03–0.1, 0.1–1.0, and 1.0–2.5 Hz) were calculated. Desympathization leads to a decrease of the fluctuation power in all ranges, but in the ultralow-frequency range this decrease is the least pronounced, which suggests the presence of non- sympathetic mechanisms in their genesis. The greatest changes occur in the middle-frequency area. In all cases, differences from control values increase from the 10–11th to the 18–19th days, after which a tendency for restoration is observed, in spite of an enhancement of processes of degeneration of sympathetic neurons. This indicates an activation of the compensatory mechanisms, due to which consequences of desympathization are partially smoothed at distant terms of studies.     

Spectra of langmuir waves in a magnetized plasma with low-frequency turbulence

A study is made of the formation of the spectra of Langmuir waves excited as a result of the development of beam-plasma instability in a collisionless magnetized plasma with low-frequency turbulence. Equations are derived that describe the dynamics of the formation of spectra in the quasilinear statistical approximation.The equations obtained account for small-and large-angle scattering of the electron-beam-excited waves by given background plasma density fluctuations. The scattering of Langmuir waves leads to the redistribution of their energy in phase space and, under appropriate conditions, to the appearance of a characteristic dent in the wave spectra in the frequency range where the spectral intensity is maximum. Numerical simulations carried out for plasma parameters typical of the polar cap of the Earth’s magnetosphere help to explain the shape of the spectra of Langmuir waves that were recorded by the Interball-2 satellite when it was flying through this magnetospheric region.     

High frequency components in the spectrum of the visual evoked potential

The occurrence of short term high frequency components in the spectra of the VEP is usually overshadowed by larger amplitude slow waves which occur simultaneously with the high frequency waves. The high frequency components become evident when the time varying power spectra of short duration (250 ms) segments of the VEP are examined. Two types of short duration time varying power spectra are considered: one is obtained directly from overlapping time segments of the average VEP; and, the other is obtained by computing the spectra from the average autocorrelation functions of overlapping time segments of the data following each stimulus. The first yields the time varying properties for the spectra of the stimulus-synchronized data while, the latter shows the time varying properties of both the synchronized and unsynchronized data present.     

Production of reliability proven physiological data for use in automated monitoring and diagnostic systems

In recent years manufacturers of intensive care monitoring systems have introduced complex digital processing architectures that theoretically have enormous processing power. This power should allow the realization of many useful processing methodologies that up to now have only been research tools, e.g. the generation of reliable alarms, the implementation of predictive monitoring strategies and reliable diagnostic and treatment guidance to the clinical staff. However, before any of these methodologies can be successfully initiated, each must have accurate and relaible derived physiological data available to them, e.g. beat-by-beat heart rate and blood pressure. From the very nature of monitoring physiological quantities there will be much misinformation or ‘noise’ superimposed on the raw signal obtained from the patient. The major source of noise (as far as electocardiogram (ECG) monitoring is concerned) is internal to the body and is electromyographic noise. This results from the contraction of skeletal muscles producing action potentials of similar magnitude and frequency to that of the ECG. Fortunately, nursing staff are very good at ‘filtering out’ any misinformation before recording any data (on a ward chart for instance). However, in completely automated systems, if this noise is not detected and eliminated or compensated for at an early stage in the processing chain, misinformation will result with potentially serious consequences. The recognition and elimination of such noise cannot be readily achieved using standard filtering techniques without serious degradation of information. This paper discusses the potential of modern digital system architectures developed for ECG monitoring. It analyses the noise that occurs on this physiological variable and demonstrates a novel method of eliminating such noise.     

A modified Zeeman model for producing HRV signals and its application to ECG signal generation

Developing a mathematical model for the artificial generation of electrocardiogram (ECG) signals is a subject that has been widely investigated. One of the challenges is to generate ECG signals with a wide range of waveforms, power spectra and variations in heart rate variability (HRV)--all of which are important indexes of human heart functions. In this paper we present a comprehensive model for generating such artificial ECG signals. We incorporate into our model the effects of respiratory sinus arrhythmia, Mayer waves and the important very low-frequency component in the power spectrum of HRV. We use a new modified Zeeman model for generating the time series for HRV, and a single cycle of ECG is produced by using a simple neural network. The importance of the work is the model's ability to produce artificial ECG signals that resemble experimental recordings under various physiological conditions. As such the model provides a useful tool to simulate and analyse the main characteristics of ECG, such as its power spectrum and HRV under different conditions. Potential applications of this model include using the generated ECG as a flexible signal source to assess the effectiveness of a diagnostic ECG signal-processing device.     

360-MHz 1H nuclear-magnetic-resonance spectroscopy of sialyl-oligosaccharides from patients with sialidosis (mucolipidosis I and II)

360-MHz proton nuclear magnetic resonance spectra were recorded of 10 sialyl-oligosaccharides isolated from urine of sialidosis patients. Their structures are related to the complex asparagine-linked glycan chains of glycoproteins. By correlation of these spectra and comparison with spectra of reference glycopeptides and sialyl-lactose isomers it was possible to assign all signals belonging to anomeric, mannose H-2, sialic acid H-3 and N-acetyl protons. The number of the consituting monosaccharide residues of the oligomers can be obtained by integration of the above-mentioned signals. The chemical shifts of the anomeric and mannose H-2 protons give information about the type of glycan structure (mono-, bi-, triantennary) and the presence of terminal sialic acid at each of the antennas. The chemical shifts of sialic acid H-3 protons are typical for sialic acid residues in 2 leads to 3 or 2 leads to 6 linkage to galactose.     

Analysis of EEG signals during epileptic and alcoholic states using AR modeling techniques

Electroencephalogram (EEG) analysis remains problematic due to limited understanding of the signal origin, which leads to the difficulty of designing evaluation methods. In spite of these shortcomings, the EEG is a valuable tool in the evaluation of some neurological disorders as well as in the evaluation of overall cerebral activity. In most studies, which use quantitative EEG analysis, the properties of measured EEG are computed by applying power spectral density (PSD) estimation for selected representative EEG samples. The sample for which the PSD is calculated is assumed to be stationary. This work deals with a comparative study of the PSD obtained from normal, epileptic and alcoholic EEG signals. The power density spectra were calculated using fast Fourier transform (FFT) by Welch's method, auto regressive (AR) method by Yule–Walker and Burg's method. The results are tabulated for these different classes of EEG signals.     

Sine wave electropermeabilization reveals the frequency-dependent response of the biological membranes

The permeabilization of biological membranes by electric fields, known as electroporation, has been traditionally performed with square electric pulses. These signals distribute the energy applied to cells in a wide frequency band. This paper investigates the use of sine waves, which are narrow band signals, to provoke electropermeabilization and the frequency dependence of this phenomenon.Single bursts of sine waves at different frequencies in the range from 8 kHz–130 kHz were applied to cells in vitro. Electroporation was studied in the plasma membrane and the internal organelles membrane using calcium as a permeabilization marker. Additionally, a double-shell electrical model was simulated to give a theoretical framework to our results.The electroporation efficiency shows a low pass filter frequency dependence for both the plasma membrane and the internal organelles membrane. The mismatch between the theoretical response and the observed behavior for the internal organelles membrane is explained by a two-step permeabilization process: first the permeabilization of the external membrane and afterwards that of the internal membranes. The simulations in the model confirm this two-step hypothesis when a variable plasma membrane conductivity is considered in the analysis.This study demonstrates how the use of narrow-band signals as sine waves is a suitable method to perform electroporation in a controlled manner. We suggest that the use of this type of signals could bring a simplification in the investigations of the very complex phenomenon of electroporation, thus representing an interesting option in future fundamental studies.     

Modulation of Elementary Calcium Release Mediates a Transition from Puffs to Waves in an IP3R Cluster Model

The oscillating concentration of intracellular calcium is one of the most important examples for collective dynamics in cell biology. Localized releases of calcium through clusters of inositol 1,4,5-trisphosphate receptor channels constitute elementary signals called calcium puffs. Coupling by diffusing calcium leads to global releases and waves, but the exact mechanism of inter-cluster coupling and triggering of waves is unknown. To elucidate the relation of puffs and waves, we here model a cluster of IP₃R channels using a gating scheme with variable non-equilibrium IP₃ binding. Hybrid stochastic and deterministic simulations show that puffs are not stereotyped events of constant duration but are sensitive to stimulation strength and residual calcium. For increasing IP₃ concentration, the release events become modulated at a timescale of minutes, with repetitive wave-like releases interspersed with several puffs. This modulation is consistent with experimental observations we present, including refractoriness and increase of puff frequency during the inter-wave interval. Our results suggest that waves are established by a random but time-modulated appearance of sustained release events, which have a high potential to trigger and synchronize activity throughout the cell.     

Surface waves and space charge layers in a spatially inhomogeneous plasma

A theory of surface waves in a layer of a spatially inhomogeneous cold electron plasma is presented. Four types of surface waves are revealed, and the conditions under which they can exist are determined. Complex frequency spectra are obtained, and the mechanisms for wave damping by plasma inhomogeneity are discussed.     

Excitation of waves in an inhomogeneous plasma

The evolution of initial perturbations in a spatially inhomogeneous cold electron plasma in the absence of an external magnetic field is considered. The excitation of both continuous-spectrum bulk plasma waves and surface plasma waves with a discrete frequency spectrum is investigated. Analytic solutions are obtained in the long-wavelength limit, and the excitation of waves of arbitrary length is analyzed numerically. The local, integral, and spatial spectra are calculated, as well as the field structures and dispersion properties of waves in waveguides filled nonuniformly with a plasma. It is shown that, in a plasma with a smooth boundary, there also exist surface waves with a discrete spectrum (although with somewhat different properties as compared to those in a plasma with a sharp boundary), which are excited together with continuous-spectrum bulk waves during the evolution of the initial perturbation.     

Circular dichroism of nucleic acid monomers. I. Calculated adenosine and 2′-deoxyadenosine CD spectra

A combination of the DeVoe and Kirkwood polarizability concepts is developed to calculate CD spectra of nucleic acid monomers. The method is perfectly general and applies to any system where the constituents have absorption properties which are widely separated in terms of frequency. The theory is applied to calculate the CD spectra of adenosine and 2′-deoxyadenosine conformers. Bond polarizabilities are evaluated for the ribosyl moiety of adenosine, as a function of glycosidic rotational angles and polarizability anisotropies. It is found that a wide range of C-C and C-O bond polarizabilities give similar CD results. Isotropic atom polarizabilities are also evaluated. It is found that the CD results using these polarizabilities do not differ significantly from those obtained with bond polarizabilities. The CD spectra of adenosine and 2′-deoxyadenosine are calculated for three x-ray diffraction determined geometries: A-form RNA, B-form DNA, and C-form DNA. The results indicate that the monomer CD spectra are strongly dependent on the precise geometry and appear to be of importance in understanding the spectra of oligomers and polymers. The deoxyadenosine conformers are found to have calculated CD spectra which are less intense than those of the ribosyl conformers. These results indicate that the measured differences between the CD magnitudes of ribo- and deoxyriboadenosine are due to the presence or absence of the 2′-hydroxyl. Weighted averaged adenosine CD spectra are calculated with the aid of probability distributions from conformational energy calculations. The results suggest a new method for obtaining empirical monomer parameters for use in optical calculations. The calculations in this paper indicate for the first time that DeVoe theory, in combination with the Kirkwood theory, provides a useful method for the calculation of the CD spectra of nonpolymeric molecules.     

Electrochemical and ultraviolet/visible/infrared spectroscopic analysis of heme a and a3 redox reactions in the cytochrome c oxidase from Paracoccus denitrificans: separation of heme a and a3 contributions and assignment of vibrational modes

Cytochrome c oxidase from Paracoccus denitrificans was studied with a combined electrochemical and ultraviolet/visible/infrared (UV/vis/IR) spectroscopic approach. Global fit analysis of oxidative electrochemical redox titrations was used to separate the spectral contributions coupled to heme a and a3 redox transitions, respectively. Simultaneous adjustment of the midpoint potentials and of the amplitudes for a user-defined number of redox components (here heme a and a3) at all wavelengths in the UV/vis (900-400 nm) and at all wavenumbers in the infrared (1800-1250 cm-1) yielded difference spectra for the number of redox potentials selected. With an assumption of two redox components, two spectra for the redox potential at -0.03 +/- 0.01 V and 0.22 +/- 0.04 V (quoted vs Ag/AgCl) were obtained. The method used here allows the separation of the heme signals from the electrochemically induced visible difference spectra of native cytochrome c oxidase without the addition of any inhibitors. The separated heme a and a3 UV/vis difference spectra essentially correspond to spectra obtained for high/low-spin and 5/6-coordinated heme a/a3 model compounds presented by Babcock [(1988) in Biological Applications of Resonance Raman Spectroscopy (Spiro, T., Ed.) Wiley and Sons, New York]. Single-component Fourier transform infrared (FTIR) difference spectra were calculated for both hemes on the basis of these fits, thus revealing contributions from the reorganization of the polypeptide backbone, from the hemes, and from single amino acids upon electron transfer of the cofactors (heme a/a3, CuA, and CuB), as well from coupled processes such as proton transfer. A tentative assignment of heme vibrational modes is presented and the assignment of the signals to the reorganization of the polypeptide backbone and to perturbations of single amino acids, in particular Asp, Glu, Arg, or Tyr, is discussed.     

Auditory evoked responses to amplitude modulated stimuli consisting of multiple envelope components

Steady-state auditory-evoked potentials were recorded noninvasively from alert bottlenosed dolphins, Tursiops truncates, using suction cup electrodes placed on the scalp surface. Responses were elicited using continuous acoustic signals consisting of 2, 3, or 4 tones with lowest frequency at 1000 Hz or 5000 Hz, and having a maximum frequency separation of 171 Hz. Due to the interaction of the stimulus tones, the stimulus waveform was comprised of 1 to 6 dominant temporal envelope components. Evoked responses were averaged in the time domain and Fourier transformed for analysis. The spectrum of the averaged evoked potential contained peaks at Fourier components corresponding to all stimulus envelope frequencies. Thus, scalp potentials, representing the synchronized discharge of large neuronal assemblies, followed the low-frequency temporal envelope of the stimulating waveform whether comprised of 1, 3, or 6 dominant envelope components; this envelope following response (EFR) was the dependent variable in all experiments.     

Complexity and characteristic frequency studies in ECG signals of mice based on multiple scale factors

Existing methods of physiological signal analysis based on nonlinear dynamic theories only examine the complexity difference of the signals under a single sampling frequency. We developed a technique to measure the multifractal characteristic parameter intimately associated with physiological activities through a frequency scale factor. This parameter is highly sensitive to physiological and pathological status. Mice received various drugs to imitate different physiological and pathological conditions, and the distributions of mass exponent spectrum curvature with scale factors from the electrocardiogram (ECG) signals of healthy and drug injected mice were determined. Next, we determined the characteristic frequency scope in which the signal was of the highest complexity and most sensitive to impaired cardiac function, and examined the relationships between heart rate, heartbeat dynamic complexity, and sensitive frequency scope of the ECG signal. We found that all animals exhibited a scale factor range in which the absolute magnitudes of ECG mass exponent spectrum curvature achieve the maximum, and this range (or frequency scope) is not changed with calculated data points or maximal coarse-grained scale factor. Further, the heart rate of mice was not necessarily associated with the nonlinear complexity of cardiac dynamics, but closely related to the most sensitive ECG frequency scope determined by characterization of this complex dynamic features for certain heartbeat conditions. Finally, we found that the health status of the hearts of mice was directly related to the heartbeat dynamic complexity, both of which were positively correlated within the scale factor around the extremum region of the multifractal parameter. With increasing heart rate, the sensitive frequency scope increased to a relatively high location. In conclusion, these data provide important theoretical and practical data for the early diagnosis of cardiac disorders.     

Secondary Rhythms of Cardiac Activity in Rat Ontogeny

Endogenous periodic oscillations of the heart beat rate are described in rat pups aged 3–4, 7–8, 10–11, 13–14, 21–22 days and 1.5 month after birth. These oscillations have all characteristic features established earlier for the secondary rhythms of endogenous contractile activity in the wall of various regions of the gastrointestinal tract and for bursts of spontaneous somatomotor excitation in the early postnatal ontogeny of rats: a multi-stage organization, inconstancy, irregularity of components. In frequency spectra of secondary oscillations of the heart rate obtained by means of fast Fourier transform of R–R intervals of the periodogram, age-related changes of the spectral frequency power are demonstrated in 4 ranges, 0.01–0.03, 0.03–0.1, 0.1–1.0, and 1.0–2.5 Hz, which correspond to the about-one-minute, decasecond, and about-one-second waves of the heart rhythm oscillations and to sinus arrhythmia. It is shown that the dominating frequencies of the secondary rhythms in each range do not have regular age-related changes, which is characteristic of all endogenous secondary rhythms.     

Vascular physiology of the ascidian Pyura praeputialis

Blood pressure was measured at both ends of the heart of Pyura praeputialis (Heller) after removing the tunic.
For posterior anterior heart waves average upstream pressures were 23–25 mm H₂O (positive): corresponding downstream pressures averaged 8 mm H₂O (negative). For anterior posterior waves average upstream pressures were 17–18 mm H₂O (+) and downstream values were 7–8 mm H₂O (-). Maximum pulse amplitudes recorded were about 30 mm H₂O (upstream).
Speed of the peristaltic wave was 25-31 mm/s. In one experiment the speed was demonstrably different over the two halves of the heart (48 mm/s over the rear half and 29 mm/s over the front half).
Number of peristaltic waves per series (i.e. between successive reversals) varied from 20 to 178. Duration of each series varied from 120 s to 690 s. Wave frequency ranged from 8 to 21 per min. Reversal frequency ranged from 5 to 30 reversals per hour.
Most preparations showed periods of reduced heart activity ("rest periods") during the the 2 4 h of the experiment. All showed spasmodic contractions of the mantle muscles which caused pressure "surges" in the vascular system.
It is shown that, in both directions of beat, most or all of the pressure wave is contributed by the front half of the heart (half towards which peristaltic wave is travelling). This can be related to the "reversed spiral" structure of the heart: each "half" of the heart (i.e. each spiral) serves primarily as the pump for one direction.     

On-line computer processing of pressure data from cardiac catheterizations.

A flexible program system for on-line analysis of pressure data from cardiac catheterizations is described. The programs are implemented on an IBM 1800 computer, equipped with remote oscilloscope/keyboard terminals. The current computer system can handle any combination of up to 4 pressure signals. During catheterization, measurement specifications (i.e. calibration levels or sites of pressure recordings) are entered via the keyboard immediately before each recording. As an option the whole expected measurement sequence may be stored on disk before the catheterization starts. This method will minimize the necessary interaction with the computer when the same catheterization procedure is used on several occasions. Changes from the predetermined scheme may, however, be undertaken before each recording to meet with unexpected events that may arise during the catheterization. After computer detection of calibration levels, the recorded signals are digitized during 20 seconds and analysed beat-by-beat. Calculated values are averaged and presented on the terminal oscilloscope in tabular and/or graphic form. The waveform analysis performed by the program system is validated in a statistical comparison between manually and automatically computed values.     

The production and generalization of large-magnitude heart rate deceleration by contingently faded biofeedback

Eight subjects were taught to decrease their heart rates via biofeedback training. Four of these received contingently faded, beat-by-beat analogue feedback and contingent reinforcement each time their performance met a specified and adjusting criterion. The other four received continuous, beat-by-beat analogue feedback, but not the contingent reinforcement. Subjects in the two groups were yoked to ensure equal densities of reinforcement. Subjects in the first group were asked to decrease heart rates 15% from baseline and were then trained using only 75%, 50% and 25% of beat-by-beat feedback. It was hypothesized that the immediate reinforcement of appropriate behavior and the contingent fading(following mastery) of feedback would aid in the generalization of the response. Following completion of all criterion steps or 10 training sessions, whichever came first, all subjects were tested with no feedback and no contingent reinforcement. The group receiving contingently faded feedback training showed a significantly greater heart rate decrease in the training sessions and also the test session. These results were interpreted as indicating that biofeedback can be conceptualized as an operant conditioning paradigm, and that the use of operant techniques may help subjects produce clinically significant changes.This research was supported in part by a grant to Robert J. Gatchel from the National Heart, Lung, and Blood Institute (Grant No. NIH HL 21426-01).     

Evaluation of respiratory modulation on the pulse wave amplitude in low-birth-weight neonate.

A slow oscillation of sympathetic vasoconstriction (Mayer waves) which is affected by the respiratory movements seems to appear as the fluctuation of pulse wave amplitude (PPG.P-P) in the frequency domain (0.1 Hz). Whether the vasomotor in low frequency has appeared in the pulse wave of the neonate and whether Mayer waves appear as the pulse wave oscillation of the immature low-birth-weight neonate are not fully understood from the point of autonomic nerve regulation mechanism. We therefore analyzed the frequency characteristics of PPG.P-P, respiration wave and its amplitude (RW.P-P) together with the heart rate variability (HRV) to examine the relationships between the frequency spectra.