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PubMedDate not supplied

Spectral analysis of surface electromyography (EMG) of upper esophageal sphincter-opening muscles during head lift exercise.

Although recent studies have shown enhancement of deglutitive upper esophageal sphincter opening in healthy elderly patients performing an isometric/isotonic head lift exercise (HLE), the muscle groups affected by this process are not known. A shift in the spectral analysis of surface EMG activity seen with muscle fatigue can be used to identify muscles affected by an exercise. The objective of this study was to use spectral analysis to evaluate surface EMG activities in the suprahyoid (SHM), infrahyoid (IHM), and sternocleidomastoid (SCM) muscle groups during the HLE. Surface EMG signals were recorded continuously on a TECA Premiere II during two phases of the HLE protocol in eleven control subjects. In the first phase of the protocol, surface EMG signals were recorded simultaneously from the three muscle groups for a period of 20 s. In the second phase, a 60 s recording was obtained for each of three successive trials with individual muscle groups. The mean frequency (MNF), median frequency (MDF), root mean square (RMS), and average rectified value (ARV) were used as spectral variables to assess the fatigue of the three muscle groups during the exercise. Least squares regression lines were fitted to each variable data set. Our findings suggest that during the HLE the SHM, IHM, and SCM muscle groups all show signs of fatigue; however, the SCM muscle group fatigued faster than the SHM and IHM muscle groups. Because of its higher fatigue rate, the SCM muscle group may play a limiting role in the HLE.

Adult↗
PubMed1999

Evaluation of frequency and time-frequency spectral analysis of heart rate variability as a diagnostic marker of the sleep apnoea syndrome.

The sleep apnoea/hypopnoea syndrome (SAHS) elicits a unique heart rate rhythm that may provide the basis for an effective screening tool. The study uses the receiver operator characteristic (ROC) to assess the diagnostic potential of spectral analysis of heart rate variability (HRV) using two methods, the discrete Fourier transform (DFT) and the discrete harmonic wavelet transform (DHWT). These two methods are compared over different sleep stages and spectral frequency bands. The HRV results are subsequently compared with those of the current screening method of oximetry. For both the DFT and the DHWT, the most diagnostically accurate frequency range for HRV spectral power calculations is found to be 0.019-0.036 Hz (denoted by AB2). Using AB2, 15 min sections of non-REM sleep data in 40 subjects produce ROC areas, for the DFT, DHWT and oximetry, of 0.94, 0.97 and 0.67, respectively. In REM sleep, ROC areas are 0.78, 0.79 and 0.71, respectively. In non-REM sleep, spectral analysis of HRV appears to be a significantly better indicator of the SAHS than the current screening method of oximetry, and, in REM sleep, it is comparable with oximetry. The advantage of the DHWT over the DFT is that it produces a greater time resolution and is computationally more efficient. The DHWT does not require the precondition of stationarity or interpolation of raw HRV data.

Adult↗
PubMedDate not supplied

Power spectral analysis of heart rate variability during upright tilt test: a comparison of patients with syncope and normal subjects.

We analyzed heart variability (HRV) response to tilt in 35 patients with a history of neurocardiogenic syncope and in 8 normal volunteers. Frequency domain examination was performed using power spectral analysis of RR variability during resting supine position and during the 256 beats preceding the onset of syncope or completion of 60 min of upright tilt to 70 degrees. Both low (0.05-0.15 Hz) and high frequency (0.15-0.4 Hz) spectral components of HRV increased markedly in all groups as a result of tilting. Statistically significant differences were noted between the patient groups at completion of upright tilting. However, these differences in spectral components between groups were of small magnitude when compared to the overall increase in spectral power occurring in all groups as a result of the tilt and are difficult to correlate clinically with the appearance, or lack of appearance of tilt-induced syncope. Power spectral analysis of HRV, as presently performed, appears to lack discriminative power to detect the rapid and marked changes in sympathovagal modulation known to occur during tilt test in patients with neurocardiogenic syncope.

Adolescent↗
PubMed1996

Power spectral analysis of heart-rate variability reflects the level of cardiac autonomic activity in rabbits.

Power spectral analysis of heart rate (HR) variability was tested in conscious rabbits to assess the reliability of this method for assessing cardiac autonomic function in normal rabbits under resting conditions. Evaluation of power spectrum was performed in 5 rabbits under normal resting conditions and after sympathetic, parasympathetic and combined sympathetic plus parasympathetic blockade. Rabbits were randomly assigned to undergo sympathetic (propranolol) or parasympathetic (methscopolamine) blockade at the initial step followed by combined blockade. The power spectrum of heart-rate variability in rabbits was presented as one broad spectral component at frequencies mainly between 0 and 0.5 Hz. This component was considerably modulated by both sympathetic and parasympathetic influences with substantial overlap of sympathetic- and parasympathetic-related components of the spectrogram. Nevertheless, it was clearly shown that power of heart-rate variability at frequencies from 0.4373 Hz to 0.5625 Hz was determined only by parasympathetic influences, and sympathetic modulation of HR was presented mainly at frequencies from 0.0625 Hz to 0.1875 Hz. Spectral subcomponent analysis of the power spectrum of HR variability may be useful to follow changes in cardiac autonomic function in rabbits.

Adrenergic beta-Antagonists↗
PubMed1995

The power spectral analysis of heart rate variability in athletes during dynamic exercise--Part I.

In this study, the effects of long-term physical training on autonomic function in athletes and the response of the autonomic nervous system to dynamic exercise were investigated in nonathletes and athletes with power spectral analysis of heart rate variability (HRV). This study was performed on 13 healthy subjects (5 athletes and 8 non athletes). Electrocardiographic (ECG) signals were continuously recorded during (1) 15 min of rest in a sitting position on a bicycle ergometer, (2) the dynamic exercise test to the point of exhaustion, and (3) a 15 min postexercise period. After the recorded ECG signals were sampled at 500 samples/s, the instantaneous HRV signal was constructed from the detected R peaks and then resampled at 4 Hz in order to obtain an evenly spaced time series applicable to power spectral analysis. After linear trends were removed by the robust locally weighted regression algorithm, the power spectrum of HRV was estimated for contiguous records of 512 samples by Burg's maximum entrophy method. HRV was quantified by determining the spectral area (power) in two frequency bands, low-frequency power (LF power: 0.05-0.15 Hz) and high-frequency power (HF power: 0.15-0.8 Hz), and their ratio. The comparison between athletes and nonathlete was performed in terms of the above-mentioned parameters. Although both groups showed similar trends in heart rate (HR) at all stages of protocols, HR in athletes was significantly lower than that in nonathletes during rest and postexercise. In athletes and nonathletes, LF and HF powers gradually decreased with exercise. As recovery progressed, they continued to increase gradually, but remained below resting level. During rest and postexercise, HF power in athletes was significantly (p < 0.05) higher than than in nonathletes. Also, the recovery of HR and HF powers during early recovery (PO1) was more rapid in athletes than in nonathletes. Both groups showed an attenuation of LF and HF powers during dynamic exercise. It is likely that, in athletes, the lower HR during rest and the more rapid recovery of HR postexercise was due to a high level of HF power, indicating that vagal activity was enhanced by the adaptive changes in neural regulation produced by long-term physical training.

Adolescent↗
PubMed1996

Power spectral analysis of heart rate variability in obese subjects: evidence of decreased cardiac sympathetic responsiveness.

OBJECTIVE: To investigate changes in sympathetic nervous system function in obesity. DESIGN: Cross-sectional clinical study. SUBJECTS: 18 middle-aged obese patients (43-55 years, BMI > 33 kg/m2) and 26 age- and sex-matched normal-weight controls (44-56 years, BMI < 26 kg/m2). MEASUREMENTS: Post-synaptic sympathetic response studied by power spectral analysis of heart rate variability at rest and during sympathetic stimulus obtained through passive head-up tilt. Spectral analysis comprised two frequency domain components: high-frequency power (HF), reflecting parasympathetic activity and low-frequency power (LF), in particular the LF: HF ratio, reflecting sympathetic function. Pre-synaptic sympatho-adrenal function was assessed by measurement of 8.00 am plasma noradrenaline. RESULTS: Obese patients had significantly lower spectral indexes of sympathetic response and higher spectral markers of parasympathetic activity than nonobese subjects both at rest (25.9 +/- 3.5 vs 38.6 +/- 1.7 LF NUs, P < 0.001) and after tilt (0.98 +/- 0.40 vs 2.30 +/- 0.39 LF: HF, P < 0.05; 62.7 +/- 6.9 vs 41.1 +/- 4.9 HF NUs, P < 0.05). By contrast, the obese subjects had higher noradrenaline levels (289.32 +/- 27.40 vs 159.80 +/- 19.20 pg/ml, P < 0.001). No relation was found between these neuroautonomic indexes and body mass index. CONCLUSION: Obese subjects seem to have increased pre-synaptic sympatho-adrenal function but a depressed end-organ cardiovascular response.

Adrenergic beta-Antagonists↗
PubMed1991

Coarse-graining spectral analysis: new method for studying heart rate variability.

Heart rate variability (HRV) spectra are typically analyzed for the components related to low- (less than 0.15 Hz) and high- (greater than 0.15 Hz) frequency variations. However, there are very-low-frequency components with periods up to hours in HRV signals, which might smear short-term spectra. We developed a method of spectral analysis suitable for selectively extracting very-low-frequency components, leaving intact the low- and high-frequency components of interest in HRV spectral analysis. Computer simulations showed that those low-frequency components were well characterized by fractional Brownian motions (FBMs). If the scale invariant, or self-similar, property of FBMs is considered a new time series (x') was constructed by sampling only every other point (course graining) of the original time series (x). Evaluation of the cross-power spectra between these two (Sxx') showed that the power of the FBM components was preserved, whereas that of the harmonic components vanished. Subtraction of magnitude of Sxx from the autopower spectra of the original sequence emphasized only the harmonic components. Application of this method to HRV spectral analyses indicated that it might enable one to observe more clearly the low- and high-frequency components characteristic of autonomic control of heart rate.

Algorithms↗
PubMed1983

Multiple isoelectric forms of detergent-solubilized bovine rhodopsin. II. Spectral analysis.

The absorption and circular dichroic spectra of three stable isoelectric forms of purified rhodopsin (in Emulphogene BC 720) with isoelectric points of 5.19, 5.58 and 6.14 were analysed over the accessible wavelength region of 190-800 nm. It was found from the spectral analysis of the 5.58 and 6.14 forms that the tertiary structure of these isoelectric forms was different, without any change being observed in the secondary structure of these proteins. The difference in structure was removed by denaturation with SDS. Specifically, the aromatic amino acid residues of the 6.14 isoelectric form were suggested to be in a more polar environment as compared to those for the 5.58 isoelectric form. The changes of structure in the microenvironment of retinal in these proteins were minor in comparison to the tertiary changes observed in the proteins. This indicated that the site of charge perturbation is not localized in the retinylidene microenvironment. Furthermore, the spectral features of these isoelectric forms were features common to the spectra of both purified unfocused rhodopsin and crude rhodopsin, suggesting that the isoelectric forms are not a consequence of purification. Spectral analysis of the 5.19 isoelectric form indicated that this form of rhodopsin had an increased tendency to aggregate after focusing. Based on the denaturation properties of these isoelectric forms, it was shown that the 5.19 and 5.58 isoelectric forms had different conformations. It was concluded from this study that preparations of 'purified' rhodopsin are a heterogeneous mixture of stable proteins with different tertiary structures and different isoelectric points.

Animals↗
PubMed1989

An adaptive approach to spectral analysis of pattern-reversal visual evoked potentials.

A method for spectral analysis of pattern-reversal visual evoked potentials (PRVEP's) is presented that results in spectral peaks of uniform width in the frequency domain for signals with a wide range of time-domain duration. Uniformity of spectral peak width is necessary for accurate comparison of spectra. The desired frequency domain characteristics can be achieved through the application of "tunable" data windows prior to transformation. The Io-sinh (Kaiser), Gaussian, and cosine-taper (Tukey) windows were evaluated as to their ability to produce power spectra with uniform spectral peak width. Objective comparison of power spectra is based on the "spectral parameter," which is a numerical index of power distribution. Application of the method to PRVEP waveforms of normal subjects (N = 20) and to a population of Alzheimer's Disease patients (N = 15) showed the Io-sinh window to be the most effective method, yielding correct classification of all normal and abnormal subjects. The Gaussian window also performed well, with only two misclassifications. Use of the rectangular window resulted in seven misclassifications. The tapered-cosine window was very limited in its applicability, and was about equal in performance to the rectangular window.

Adult↗
PubMed2004

[Life table and spectral analysis of endangered plant Taxus chinensis var. mairei population].

Based on the investigation in Longxi Mountain National Nature Reserve and the theory of survival analysis, a static life table of Taxus chinensis var. mairei population was worked out, the curves of its survival rate, mortality rate and killing power were drawn, and the population dynamics was analyzed by spectral analysis. The results showed that the survival curve of the population appeared to be a type of Deevey-III, and the high mortality of seeding was one of the important reasons which caused Taxus chinensis var. mairei to be endangered. The spectral analysis of the population showed that there was a marked periodic regularity in the process of natural regeneration of Taxus chinensis var. mairei.

China↗
PubMed1999

[Changes in the fractal component of spectral analysis of heart rate variability and systolic blood pressure variability during the head-up tilt test].

Blood pressure and heart rate change are related to the level of physical activity, and are correlated with each other. Heart rate and blood pressure signals were investigated by coarse graining spectral analysis and changes in the harmonic and non-harmonic (fractal) power were examined during the head-up tilt test. Fourteen healthy subjects, 9 men and 5 women (mean age 30.4 +/- 1.0 years) completed the test protocol of 15 min supine rest followed by the head-up tilt (80 degrees) test. Heart rate was measured continuously with standard bipolar leads and electrocardiography. A finger cuff was placed on the left index finger for beat-by-beat recording of systolic blood pressure based on the continuous noninvasive method, and the impulse train was stored on a personal computer for spectral analysis. The harmonic component, the integrated powers in the low-frequency and high-frequency regions, and the fractal component were then calculated. The fractal component was plotted on a log power versus log frequency plane with spectral index beta estimated as the slope of the linear regression of this 1/f beta plot. RR-interval was significantly shorter during the head-up tilt position than in the supine rest position with a marked reduction in the high-frequency power. The ratio of fractal component for total power was increased and the slope beta of the 1/f beta relationship was significantly greater in the head-up tilt (1.61 +/- 0.05) than in the supine rest (0.92 +/- 0.07) position. Systolic blood pressure showed a significant increase during head-up tilt, and marked increases in high-frequency power and fractal power. However, both the ratio of fractal component for total power and the slope beta remained unchanged. Further studies are needed to clarify whether the slope beta is essentially stable or variable in some conditions.

Adult↗
PubMed1993

[Power spectral analysis of spontaneous rhythm in peripheral blood flow in fetal lamb].

Fluctuations in fetal hemodynamic parameters are commonly observed, and we can use the variation in the fetal heart rate as an index in fetal assessment. The purpose of this study was to clarify the spontaneous rhythm in systemic circulation in fetal lambs by means of power spectral analysis. Three pregnant sheep and their fetuses at 125 and 135 days of gestation were surgically instrumented and studied. After a minimum recovery period of four days, a fetal electrocardiogram was taken and arterial blood pressure was recorded. They were also examined in the absence of heart rate variation by means of fetal cardiac pacing. We used an autoregressive model to estimate their power spectral densities. In normal fetal lambs, two spontaneous rhythms were detected in the spectra for the fetal heart rate and arterial blood pressure. Spectral analysis of arterial blood pressure variation in the absence of heart rate variation revealed that there was only one consistent major spectral component around 0.15 Hz. This suggests that fluctuations are caused not by a variation in the heart rate but by a variation in peripheral motor activity. This spontaneous rhythm in peripheral resistance may be associated with the sinusoidal heart rate pattern in the fetal cardiotochogram.

Animals↗
PubMed1997

Cross-spectral analysis of cerebral autoregulation dynamics in high risk preterm infants during the perinatal period.

In preterm infants intraventricular hemorrhage occurs predominantly within the perinatal period, which may be due to a "lost autoregulation" of cerebral blood flow (CBF). In this study, perinatal autoregulation dynamics were investigated in high risk preterm infants by cross-spectral analysis (CSA), which is a statistical tool in the analysis of time series. In 15 ventilated preterm infants of 25-32 gestational weeks, a total number of 30 records were made between 24 and 96 h of life. Doppler-derived CBF velocity (CBFv), used as a quantitative measure for CBF, and direct mean arterial blood pressure (MABP) were measured continuously for 10 min. The spectral power of low frequency (LF, 0.02-0.2 Hz) oscillations in CBFv and MABP was quantified by spectral analysis. From the results of CSA, a LF phase-shift between the CBFv and MABP LF oscillations was calculated in each record. Within the study group, the LF spectral power of CBFv and MABP was initially low and increased significantly until 96 h of life. The LF phase-shift was about 0 degrees at 24 h and increased significantly to 55 degrees at 96 h of life. The initially low LF spectral power of CBFv and MABP may indicate a perinatal depression of autonomic nervous centers, which are thought to control LF oscillations of vital parameters. In the light of a high pass filter model for autoregulation, the initially low LF phase-shift may indicate an initially impaired autoregulation, which supports the "lost autoregulation" hypothesis.

Cerebrovascular Circulation↗
PubMed1998

Power spectral analysis of heart rate in subjects over a hundred years old.

Altered autonomic regulation of cardiac function may contribute to the onset of cardiovascular disease and provide a substrate for malignant ventricular arrhythmias. This study was designed to assess cardiovascular neuroautonomic status in healthy subjects with short-term power spectral analysis of heart rate variability, including a group over 100 years of age, to identify a neuroautonomic pattern that could help to protect ultra-centenarians against cardiovascular disease. One hundred and twelve subjects (22 men and 90 women, age range 20 to 107 years) were subdivided into five age groups: <40 years (N=26, mean age 30.6+/-0.9); 41 to 60 years (N=27, mean age 51.9+/-1.2); 61 to 80 years (N=37, mean age 70.3+/-1.1); 81 to 100 (N=10, mean age 85.2+/-0.8) and older than 101 years (N=13, mean age: 103.6+/-0.6). Power spectral analysis with autoregressive algorithm provides two indexes of autonomic activity: a low-frequency component oscillating around 0.10 Hz, mainly reflecting sympathetic activity and a high-frequency component around 0.30 Hz, reflecting parasympathetic activity. Subjects 40 years of age or younger had significantly higher spectral high-frequency power values expressed in logarithmic form than the other age groups (P<0.05), the age group from 41 to 100 years had values similar to those of the other groups. However, the age group over 101 years had significantly higher values than the group from 81 to 100 years (P<0.05). Low-frequency spectral density expressed in logarithmic form and in normalized units decreased with age (P<0.0001). These data confirm an age-related decline in sympathetic activity. Compared with elderly subjects from 81 to 100 years of age ultra-centenarians have significantly higher spectral parasympathetic indexes. Parasympathetic predominance may be the neuroautonomic feature that helps to protect ultra-centenarians against cardiovascular disease.

Adult↗
PubMed2006

The EEG assessment of low-grade hepatic encephalopathy: comparison of an artificial neural network-expert system (ANNES) based evaluation with visual EEG readings and EEG spectral analysis.

OBJECTIVE: The EEG provides an objective staging of hepatic encephalopathy (HE), but its interpretation may be biased by inter-observer variability. This study aims at comparing an entirely automatic EEG classification of HE based on an artificial neural network-expert system procedure (ANNES) with visual and spectral analysis based EEG classifications. METHODS: Two hundred and thirty-eight consecutive cirrhotic patients underwent closed-eye EEG. They were followed up for up to one-year to detect bouts of overt HE and death. The EEG was classified by ANNES, qualitative visual reading, main basic rhythm frequency and spectral analysis. The classifications were assessed on the basis of: (i) match with liver function, (ii) prognostic value and (iii) repeatability. RESULTS: All classifications were found to be related to the severity of liver failure, with cognitive findings and a history of previous bouts of HE. All of them had prognostic value on the occurrence of overt HE and on survival. The ANNES based classification was more repeatable than the qualitative visual one, and had the advantage of detecting low power EEG, but its efficiency in analyzing low-grade alterations was questionable. CONCLUSIONS: An entirely automatic - ANNES based - EEG classification of HE can improve the repeatability of EEG assessment, but further improvement of the device is required to classify mild alterations. SIGNIFICANCE: The ANNES based EEG grading of HE needs further improvements to be recommended in clinical practice, but it is already sufficient for detecting normal and clearly altered EEG tracings.

Electroencephalography↗
PubMed1996

Spectral analysis of short term R-Tapex interval variability during sinus rhythm and fixed atrial rate.

Analysis of heart rate variability has been proven useful in stratifying post myocardial patients at risk and in evaluating autonomic dysfunction. Recently augmented inter-lead variability of the QT interval has been associated with increased mortality as a result of arrhythmia and proposed as a marker of dispersion of ventricular repolarization. As the duration of the QT interval is largely dependent upon the length of the preceding cardiac cycle it is tempting to analyse whether neural mechanisms might also directly exert additional modulation. Using autoregressive algorithms we therefore analysed RR and R-Tapex interval variabilities in 15 normal subjects during sinus rhythm and in six patients with a fixed atrial rate. In controls mean R-Tapex interval and variance measured on the vector magnitude were, respectively, 245 +/- 6 ms and 5.1 +/- 0.7 ms2. Spectral analysis of R-Tapex indicated the presence of two spectral components which corresponded to the low and high frequency components of heart rate variability. In R-Tapex variability, high frequency (44 +/- 4 nu) was predominant over low frequency (29 +/- 4 nu). During controlled respiration, a manoeuvre associated with enhanced vagal modulation of sinus node, there was a further increase in high frequency (58 +/- 4 nu) whereas during tilt the low frequency component of R-Tapex variability became predominant (57 +/- 6 nu). In patients with a fixed atrial rate, variance was extremely low (3 +/- 0.9 ms2) and only a respiration-related high frequency component was recognizable in spectral analysis of RR and R-Tapex variabilities. This component was likely to depend upon mechanically induced changes in cardiac vector orientation. These data indicate that during sinus rhythm short-term R-Tapex interval variability is characterized by the same rhythmical components present in RR variability. However, the presence of a very low variance and of only a high frequency component in patients in whom the physiological variability of sinus node is abolished by atrial pacing. suggests that neural modulatory mechanisms do not exert a direct effect on the length of the R-Tapex interval.

Adult↗
PubMed2000

Real-time spectral analysis of the fetal EEG: a new approach to monitoring sleep states and fetal condition during labor.

Adverse perinatal events affecting cerebral functions are a major cause of neonatal mortality, morbidity, and long-term neurologic deficit. Intrapartum fetal EEG, which records fetal brain electrical activity, provides a monitoring modality for evaluating the fetal CNS during labor. In this study, we describe a new approach to such monitoring that is based on real-time spectral analysis of the fetal EEG during labor. Fourteen pregnant women with uncomplicated term pregnancies who went into labor participated in the study. Two suction-cup electrodes were applied to the fetal scalp at the occipitoparietal or parietal region after rupture of membranes. Real-time spectral analysis was used to determine the frequency and amplitude of the fetal EEG signal. The spectral edge frequency (SEF) was calculated as the frequency below which 90% of the power in the power spectrum resides. The average EEG amplitude and the SEF were displayed using the density spectral array technique. Fetal heart rate and intrauterine pressure were also measured. Two fundamental EEG patterns were identified: high-voltage slow activity and low-voltage fast activity. The SEF was found to be an excellent index of cyclic EEG activity. Fetal heart rate demonstrated increased variability and an elevated baseline during low-voltage fast activity, whereas both parameters decreased during high-voltage slow activity. During episodes of variable decelerations in the fetal heart rate, a decrease in the SEF was observed, accompanied by an increased EEG voltage. The results obtained substantiate the presence of sleep cycles in the human fetus. This kind of cortical activity monitoring may enable rapid alertness to cerebral hypoxia and allow for prompt intervention, thereby decreasing the risk for birth asphyxia and subsequent brain damage.

Electroencephalography↗
PubMed2002

Electroencephalographic spectral analysis: detection of cortical activity changes in sleep apnoea patients.

There are no visible electroencephalographic (EEG) changes at the termination of some apnoeas and hypopnoeas. This study tests the hypothesis that cortical activity fluctuates at apnoea/hypopnoea termination, despite the lack of visible changes. To detect these changes, EEG spectral analysis was performed and centred around the end of apnoeas/hypopnoeas in 15 sleepy patients. Ten second windows were applied and comparisons were conducted between the normalised power of the same frequency bands before and after termination of each apnoea/hypopnoea. Comparisons were performed within patients between apnoeas/hypopnoeas and periods of undisturbed sleep as well as between patients and healthy subjects during sleep. Normalised theta power (4-8 Hz) decreased significantly at apnoea/hypopnoea termination. No significant changes were found between consecutive periods of undisturbed sleep across the 15 patients. During nonrapid eye movement sleep, changes were detected irrespective of arousal visibility. During rapid eye movement sleep, nonarousal apnoeas/hypopnoeas were not accompanied by any significant spectral power changes. Theta power was significantly lower across patients compared to healthy subjects (p=0.03) and was correlated to the apnoea/hypopnoea index (rho=0.6, p=0.008). The authors conclude that electroencephalographic spectral analysis improves detection of changes at apnoea/hypopnoea termination. Further validation is needed to determine whether it improves correlation between nocturnal measures and daytime symptoms.

Arousal↗