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Biomedical subjects

Sergio Cerutti

Publications and source records attributed to Sergio Cerutti.

At least 19 recordsLinked to original sources
PubMed2007

Single trial somatosensory evoked potential extraction with ARX filtering for a combined spinal cord intraoperative neuromonitoring technique.

BACKGROUND: When spinal cord functional integrity is at risk during surgery, intraoperative neuromonitoring is recommended. Tibial Single Trial Somatosensory Evoked Potentials (SEPs) and H-reflex are here used in a combined neuromonitoring method: both signals monitor the spinal cord status, though involving different nervous pathways. However, SEPs express a trial-to-trial variability that is difficult to track because of the intrinsic low signal-to-noise ratio. For this reason single trial techniques are needed to extract SEPs from the background EEG. METHODS: The analysis is performed off line on data recorded in eight scoliosis surgery sessions during which the spinal cord was simultaneously monitored through classical SEPs and H-reflex responses elicited by the same tibial nerve electrical stimulation. The single trial extraction of SEPs from the background EEG is here performed through AutoRegressive filter with eXogenous input (ARX). The electroencephalographic recording can be modeled as the sum of the background EEG, which can be described as an autoregressive process not related to the stimulus, and the evoked potential (EP), which can be viewed as a filtered version of a reference signal related to the stimulus. The choice of the filter optimal orders is based on the Akaike Information Criterion (AIC). The reference signal used as exogenous input in the ARX model is a weighted average of the previous SEPs trials with exponential forgetting behavior. RESULTS: The moving average exponentially weighted, used as reference signal for the ARX model, shows a better sensibility than the standard moving average in tracking SEPs fast inter-trial changes. The ability to promptly detect changes allows highlighting relations between waveform changes and surgical maneuvers. It also allows a comparative study with H-reflex trends: in particular, the two signals show different fall and recovery dynamics following stressful conditions for the spinal cord. CONCLUSION: The ARX filter showed good performances in single trial SEP extraction, enhancing the available information concerning the current spinal cord status. Moreover, the comparison between SEPs and H-reflex showed that the two signals are affected by the same surgical maneuvers, even if they monitor the spinal cord through anatomically different pathways.

Algorithms↗
PubMed2006

Modulations of autonomic activity leading to tilt-mediated syncope.

BACKGROUND: Vasovagal syncope (VVS) results from a complex interaction among afferent vagal and sympathetic signals, cortical modulation and bulbar integration. The aim of our study was to evaluate the modifications of autonomic activity during Upright Tilt Test (UTT) in patients with unexplained syncope, and to correlate these changes with the specific cardiovascular reactions induced. METHODS AND RESULTS: We studied 90 patients with a mean age of 44+/-17 yrs. Frequency domain analysis of heart rate variability (HRV) (normalized units) was performed on 2 periods of 300 beats: at baseline and after 5 min of 60 degrees tilt. UTT was positive in 56 patients (62%). The responses were cardioinhibitory in 8, vasodepressive in 15, mixed in 33. Baseline LF and HF components did not show significant difference between subjects with positive or negative test (HF: 39+/-21 versus 41+/-22; LF: 50+/-22 versus 49+/-23). HRV during UTT showed similar changes in patients with positive or negative test. However, subjects with mixed or cardioinhibitory reactions were characterized by a relevant increase of LF during UTT (from 47+/-23 to 66+/-21), whereas the others by a non-significant decrease of the same component (from 57+/-19 to 51+/-31). CONCLUSIONS: Patients developing a reflex cardioinhibitory reaction during UTT were characterized by an increase of sympathetic activity during the test, that might represent an essential factor to induce a stronger vagal reaction on the sinus node. On the contrary, in subjects with vasodepressive reactions an inadequate enhancement of the sympathetic drive, probably causing a failure of peripheral vasoconstriction, was evidenced.

Adult↗
PubMed2006

Automated interpretation of regional left ventricular wall motion from cardiac magnetic resonance images.

UNLABELLED: Magnetic resonance (MR) diagnosis of regional left ventricular (LV) dysfunction relies on visual interpretation of cine images that suffers from wide inter-observer variability, especially when performed by readers not specifically trained in the assessment of LV wall motion. Quantitative analysis tools, though widely available, are rarely used because they provide large amounts of detailed information, the interpretation of which requires additional time-consuming processing. We tested the feasibility of fast automated interpretation of regional LV function using computer analysis of this wall motion information. METHODS: Dynamic, ECG-gated, steady-state free precession short-axis images were obtained in 6-10 slices in 28 subjects (10 normal volunteers; 18 patients). Images were reviewed by an expert cardiologist who provided "gold standard" grades (normal, abnormal) for regional wall motion and, independently, by four radiologists. Same images were then analyzed using custom software. Regional fractional area changes computed in normal volunteers were used to obtain the optimal segment- and slice-specific threshold values for automated classification of regional wall motion for each patient. The levels of agreement with the "gold standard" grades were compared between the radiologists and the automated interpretation. RESULTS: While the visual interpretation required 2-5 minute per patient, the automated interpretation required < 1 sec, after endocardial border detection was complete. The automated interpretation resulted in higher sensitivity, specificity, and accuracy (84%, 77%, 79%, respectively) than the radiologists' grades (80%, 76%, 77%, respectively) and eliminated the high interobserver variability. CONCLUSION: Once the endocardial boundaries are defined, computer analysis of the regional wall motion information allows accurate, fully automated, immediate, objective and experience-independent interpretation of regional LV function.

Automation↗
PubMed2006

HRV scaling exponent identifies postinfarction patients who might benefit from prophylactic treatment with amiodarone.

Analysing the Holter recordings collected at baseline during the European Myocardial Infarction Amiodarone Trial (EMIAT), we evaluate the possibility of using alpha, the slope of the power spectrum of heart rate variability signals (HRV) in the vicinity of f = 0, for postinfarction risk stratification. We found no relevant difference in the values of alpha for the placebo population. On the contrary, in the amiodarone arm, the distinction in the survival rates of those with high or low alpha-values was highly significant. Moreover, high risk patients with respect to alpha (higher values) did not seem to benefit from amiodarone. The results suggest that alpha might convey physiologic information that is different than what is expressed by other HRV characteristics, such as the triangular index. When combining high risk patients in term of triangular index (<20) and low risk patients with respect to alpha (<median), the difference in survival on placebo and amiodarone became very substantial (24.2% mortality on placebo, 8.7% on amiodarone, p = 0.017). This might offer a possibility of selecting patients likely to benefit from a prophylactic antiarrhythmic treatment after acute myocardial infarction.

Adolescent↗
PubMed2006

Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distress.

This paper considers the multiscale entropy (MSE) approach for estimating the regularity of time series at different scales. Sample entropy (SampEn) and approximate entropy (ApEn) are evaluated in MSE analysis on simulated data to enhance the main features of both estimators. We applied the approximate entropy and the sample entropy estimators to fetal heart rate signals on both single and multiple scales for an early identification of fetal sufferance antepartum. Our results show that the ApEn index significantly distinguishes suffering from normal fetuses between the 30th and the 35th week of gestation. Furthermore, our data shows that the MSE entropy values are reliable indicators of the fetal distress associated with the presence of a pathological condition at birth.

Algorithms↗
PubMed2006

Application of the Taguchi method to the analysis of the deposition step in microarray production.

Every microarray experiment is affected by many possible sources of variability that may even corrupt biological evidence on analyzed sequences. We applied a "Taguchi method" strategy, based on the use of orthogonal arrays to optimize the deposition step of oligonucleotide sequences on glass slides. We chose three critical deposition parameters (humidity, surface, and buffer) at two levels each, in order to establish optimum settings. A L8 orthogonal array was used in order to monitor both the main effects and interactions on the deposition of a 25 mer oligonucleotide hybridized to its fluorescent-labeled complementary. Signal-background ratio and deposition homogeneity in terms of mean intensity and spot diameter were considered as significant outputs. An analysis of variance (ANOVA) was applied to raw data and to mean results for each slide and experimental run. Finally we calculated an overall evaluation coefficient to group together important outputs in one number. Environmental humidity and surface-buffer interaction were recognized as the most critical factors, for which a 50% humidity, associated to a chitosan-covered slide and a sodium phosphate + 25% dimethyl sulfoxide (DMSO) buffer gave best performances. Our results also suggested that Taguchi methods can be efficiently applied in optimization of microarray procedures.

Algorithms↗
PubMed2006

Multivariate and multiorgan analysis of cardiorespiratory variability signals: the CAP sleep case.

Signals from different systems are analyzed during sleep on a beat-to-beat basis to provide a quantitative measure of synchronization with the heart rate variability (HRV) signal, oscillations of which reflect the action of the autonomic nervous system. Beat-to-beat variability signals synchronized to QRS occurrence on ECG signals were extracted from respiration, electroencephalogram (EEG) and electromyogram (EMG) traces. The analysis was restricted to sleep stage 2. Cyclic alternating pattern (CAP) periods were detected from EEG signals and the following conditions were identified: stage 2 non-CAP (2 NCAP), stage 2 CAP (2 CAP) and stage 2 CAP with myoclonus (2 CAP MC). The coupling relationships between pairs of variability signals were studied in both the time and frequency domains. Passing from 2 NCAP to 2 CAP, sympathetic activation is indicated by tachycardia and reduced respiratory arrhythmia in the heart rate signal. At the same time, we observed a marked link between EEG and HRV at the CAP frequency. During 2 CAP MC, the increased synchronization involved myoclonus and respiration. The underlying mechanism seems to be related to a global control system at the central level that involves the different systems.

Biological Clocks↗
PubMed2005

Global link between heart rate and blood pressure oscillations at rest and during mental arousal in normotensive and hypertensive subjects.

UNLABELLED: Complex phenomena modulate the interplay between heart rate and blood pressure variability, in particular after adjustments induced by stimuli or in pathophysiological conditions. This study sought to investigate in 25 hypertensive and 16 normotensive male subjects whether relationships operating at rest may be preserved after a central nervous system arousal induced by a mental stress test. As a secondary endpoint, we evaluated the potential changes of the components of heart rate and blood pressure variability during stress. RESULTS: A significant correlation was observed between components of RR and systolic blood pressure (SBP) variability (p<0.0001), after controlling for the subject's status (normotensive vs. hypertensive) and for stress-steps (baseline condition, during stress test and recovery). Moreover, the multiple regression model accounted for the potential effects of the baseline alpha(LF) value and for the baseline heart rate and systolic blood pressure. The relationship operating between the LF/HF(RR) ratio and LF/HF(SBP) ratio was not different either at the different steps of stress test (interaction: p=0.87) or in the two groups of normotensive and hypertensive subjects (interaction: p=0.76). The variables of RR and SBP variabilities were modified during stress and recovery. In particular, the LF/HF(RR) ratio and LF/HF(SBP) ratio increased during stress and decreased during recovery. CONCLUSIONS: The association between heart rate and blood pressure oscillations was preserved during central nervous system arousal by mental stress both in normotensives and hypertensives. A central integration may account for this constant relationship, the correlation being independent from baseline heart rate, blood pressure and baroreflex sensitivity.

Adult↗
PubMed2005

Autonomic modulation and clinical outcome in patients with chronic heart failure.

OBJECTIVE: Several studies documented the relevance of autonomic activity in the pathophysiology of heart failure. In our study we evaluated the adjustment of this activity under different stimuli, by means of heart rate variability (HRV), and correlated these findings with long-term mortality and sustained VT occurrence. PATIENTS AND METHOD: Fifty-three patients (mean age 54+/-9 years) with heart failure were submitted to time and frequency domain HRV analysis. This latter analysis was performed at rest, during paced breathing and during passive tilt. RESULTS: Lower standard deviation of RR intervals (76.76+/-24 versus 107.70+/-43, p=0.02), mean of the 5-min standard deviations of RR intervals (35.14+/-15 versus 62.39, p<0.01), standard deviation of the 5-min average RR intervals (69.42+/-19 versus 91.79+/-30, p=0.02), and baseline Low-Frequency (LF) power (15.15+/-12 versus 40.39+/-24 nu, p=0.001) characterized patients who died. Paced breathing induced a significant reduction of LF (40.39+/-24 to 20.12+/-18 nu, p<0.0001) and increase of High Frequency power (HF) (47.31+/-23 to 70.63+/-16 nu, p<0.0001) in survivors, while tilting induced a reduction of HF (47.31+/-23 to 29.80+/-16 nu, p<0.0001). Patients who died did not show significant variation of HRV neither during paced breathing nor during tilt. Reduced time domain indexes were significantly correlated to sustained VT occurrence. CONCLUSIONS: Patients with heart failure with a better prognosis are characterized by a responsiveness of autonomic modulation. Simple maneuvers, such as tilting and paced breathing, seem to provide more useful information, than the baseline evaluation of autonomic status, in identifying patients with a higher mortality. Time domain analysis was more helpful to estimate arrhythmic risk.

Adult↗
PubMed2005

Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: simulations and application to finger tapping data.

Today, the concept of brain connectivity plays a central role in the neuroscience. While functional connectivity is defined as the temporal coherence between the activities of different brain areas, the effective connectivity is defined as the simplest brain circuit that would produce the same temporal relationship as observed experimentally between cortical sites. The most used method to estimate effective connectivity in neuroscience is the structural equation modeling (SEM), typically used on data related to the brain hemodynamic behavior. However, the use of hemodynamic measures limits the temporal resolution on which the brain process can be followed. The present research proposes the use of the SEM approach on the cortical waveforms estimated from the high-resolution EEG data, which exhibits a good spatial resolution and a higher temporal resolution than hemodynamic measures. We performed a simulation study, in which different main factors were systematically manipulated in the generation of test signals, and the errors in the estimated connectivity were evaluated by the analysis of variance (ANOVA). Such factors were the signal-to-noise ratio and the duration of the simulated cortical activity. Since SEM technique is based on the use of a model formulated on the basis of anatomical and physiological constraints, different experimental conditions were analyzed, in order to evaluate the effect of errors made in the a priori model formulation on its performances. The feasibility of the proposed approach has been shown in a human study using high-resolution EEG recordings related to finger tapping movements.

Algorithms↗
PubMed2005

Representation and modeling of protein surface determinants.

Surface characterization of peptides may provide useful information about functionality and potential interactions with other molecules. A description of a protein site through a surface that models the shape conferred by the exposed residues is an effective tool for the analysis and the modeling of proteins that may highlight similarities and relationships not detectable through comparisons at level of primary, secondary, and tertiary structure. This study concerns the development of a tool that extracts the residues that concur to the shape modeling of the surface of a protein or a portion of it. This task is accomplished without taking into account the order of the amino acids in the primary structure, but only according to the selection of a portion of the protein indicated through geometric parameters or an explicit list of amino acids belonging to the site of interest. Both in the case of an entire protein and in the case of a portion of it, the method provides the mesh that models the surface described by the exposed residues that constitute the external envelope. The developed tool which allows the extraction of the exposed residues, and thus of the potential function determinants, is applied to identify the amino acids that concur to the structural interaction in several protein complexes.

Amino Acid Sequence↗
PubMed2005

Circadian blood pressure variability is associated with autonomic and baroreflex-mediated modulation of the sinoatrial node.

OBJECTIVE: The day-night variability of blood pressure (BP) is of interest in the analysis of ambulatory blood pressure monitoring (ABPM). The aim of this study was to investigate whether the nocturnal BP reduction was associated with the autonomic and baroreflex-mediated modulation of the sinoatrial node in normotensive and hypertensive subjects. METHODS AND RESULTS: 63 consecutive untreated male subjects (40 hypertensive and 23 normotensive) were studied. Spectral parameters of RR interval variability and the alphaLF index (a measure of baroreflex gain) were calculated at rest. Then all the subjects performed a 24-h ABPM. RESULTS: As regards the relationships involving 24-h BP and resting heart rate (HR) and HR variability parameters, a significant correlation was found between mean RR and both systolic and diastolic nocturnal BP falls (r = 0.40, p < 0.001, r = 0.32, p < 0.01, respectively); moreover, a significant correlation was found between the nocturnal fall of systolic BP and both the LF/HF ratio and absolute power of HF (r = -0.25, p < 0.05 and r = 0.29, p < 0.05, respectively). The alphaLF index was significantly associated with the nocturnal diastolic BP fall (r = 0.26, p < 0.05) whereas the association with the systolic fall did not reach statistical significance (r = 0.23, p = 0.07). CONCLUSIONS: The relationship found between the nocturnal reduction of BP and both the LF/HF ratio and HF power of RR variability suggests that factors influencing the sympatho-vagal modulation to the heart are associated with the day-night variability of blood pressure. Moreover, the relationship between BP fall and the spontaneous baroreflex sensitivity index alphaLF, may indicate a role of the baroreflex-mediated arc function in the BP adjustments occurring during the night.

Adult↗
PubMed2004

Assessment of the dynamics of atrial signals and local atrial period series during atrial fibrillation: effects of isoproterenol administration.

BACKGROUND: The autonomic nervous system (ANS) plays an important role in the genesis and maintenance of atrial fibrillation (AF), but quantification of its electrophysiologic effects is extremely complex and difficult. Aim of the study was to evaluate the capability of linear and non-linear indexes to capture the fine changing dynamics of atrial signals and local atrial period (LAP) series during adrenergic activation induced by isoproterenol (a sympathomimetic drug) infusion. METHODS: Nine patients with paroxysmal or persistent AF (aged 60 +/- 6) underwent electrophysiological study in which isoproterenol was administered to patients. Atrial electrograms were acquired during i) sinus rhythm (SR); ii) sinus rhythm during isoproterenol (SRISO) administration; iii) atrial fibrillation (AF) and iv) atrial fibrillation during isoproterenol (AFISO) administration. The level of organization between two electrograms was assessed by the synchronization index (S), whereas the degree of recurrence of a pattern in a signal was defined by the regularity index (R). In addition, the level of predictability (LP) and regularity of LAP series were computed. RESULTS: LAP series analysis shows a reduction of both LP and R index during isoproterenol infusion in SR and AF (RSR = 0.75 +/- 0.07 RSRISO = 0.69 +/- 0.10, p < 0.0001; RAF = 0.31 +/- 0.08 RAFISO = 0.26 +/- 0.09, p < 0.0001; LPSR = 99.99 +/- 0.001 LPSRISO = 99.97 +/- 0.03, p < 0.0001; LPAF = 69.46 +/- 21.55 LPAFISO = 55 +/- 24.75; p < 0.0001). Electrograms analysis shows R index reductions both in SR (RSR = 0.49 +/- 0.08 RSRISO = 0.46 +/- 0.09 p < 0.0001) and in AF (RAF = 0.29 +/- 0.09 RAFISO = 0.28 +/- 0.08 n.s.). CONCLUSIONS: The proposed parameters succeeded in discriminating the subtle changes due to isoproterenol infusion during both the rhythms especially when considering LAP series analysis. The reduced value of analyzed parameters after isoproterenol administration could reflect an important pro-arrhythmic influence of adrenergic activation on favoring maintenance of AF.

Atrial Fibrillation↗
PubMed2004

Principal component analysis for reduction of ocular artefacts in event-related potentials of normal and dyslexic children.

OBJECTIVE: The aim of this study was to reduce ocular artefacts in single trial event-related potentials (ERPs) recorded in normal and in dyslexic children. METHODS: ERPs were recorded during passive and active reading of centrally presented alphabetic letters and non alphabetic symbols. EEG was recorded from 10 EEG locations using the 10-20 system. Diagonal EOG from the right eye was also recorded. Principal component analysis (PCA) was applied in order to reduce ocular artefacts: the first or the second principal component (PC) was subtracted when the correlation coefficient between the component and EOG was greater or equal to 0.9 or 0.95, respectively. Performance of the method was tested on simulated and real data, on both single and averaged trials, varying EOG amplitude and artefact transmission characteristics. RESULTS: Applying the method to real recordings from normal and dyslexic children, we obtained a significant increase in the number of useful trials. In normal children we retrieved 41.0% of the rejected trials in passive and 39.1% in active reading. In dyslexic children 36.7 and 32.2% of the rejected trials in passive and active reading could be included in the respective averages. CONCLUSIONS: The method allows an increase in the number of trials suitable for averaging, a great improvement in ERP quality and a reduction in the recording time.

Artifacts↗
PubMed2004

Proposed corrections for the quantification of coupling patterns by recurrence plots.

The aim of this paper is to quantify the coupling during phase-locking patterns by using the recurrence plot quantification approach. We found that the percent determinism of the recurrences and the entropy of recurrences--corrected for border effect induced by finite data lenght--succeeded in distinguishing three coupling conditions both in simulation signals and in real data from cardiorespiratory synchronization experiments.

Biological Clocks↗
PubMed2003

Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings.

Antepartum fetal monitoring based on the classical cardiotocography (CTG) is a noninvasive and simple tool for checking fetal status. Its introduction in the clinical routine limited the occurrence of fetal problems leading to a reduction of the precocious child mortality. Nevertheless, very poor indications on fetal pathologies can be inferred from the even automatic CTG analysis methods, which are actually employed. The feeling is that fetal heart rate (FHR) signals and uterine contractions carry much more information on fetal state than is usually extracted by classical analysis methods. In particular, FHR signal contains indications about the neural development of the fetus. However, the methods actually adopted for judging a CTG trace as "abnormal" give weak predictive indications about fetal dangers. We propose a new methodological approach for the CTG monitoring, based on a multiparametric FHR analysis, which includes spectral parameters from autoregressive models and nonlinear algorithms (approximate entropy). This preliminary study considers 14 normal fetuses, eight cases of gestational (maternal) diabetes, and 13 intrauterine growth retarded fetuses. A comparison with the traditional time domain analysis is also included. This paper shows that the proposed new parameters are able to separate normal from pathological fetuses. Results constitute the first step for realizing a new clinical classification system for the early diagnosis of most common fetal pathologies.

Algorithms↗