Discrimination of Parkinsonian tremor from essential tremor by implementation of a wavelet-based soft-decision technique on EMG and accelerometer signals

A wavelet-decomposition with soft-decision algorithm is used to estimate an approximate power-spectral density (PSD) of both accelerometer and surface EMG signals for the purpose of discrimination of Parkinson tremor from essential tremor. A soft-decision wavelet-based PSD estimation is used with 256 bands for a signal sampled at 800 Hz. The sum of the entropy of the PSD in band 6 (7.8125–9.375 Hz) and band 11 (15.625–17.1875 Hz) is used as a classification factor. The data has been recorded for diagnostic purposes in the Department of Neurology of the University of Kiel, Germany. Two sets of data are used. The training set, which consists of 21 essential-tremor (ET) subjects and 19 Parkinson-disease (PD) subjects, is used to obtain the threshold value of the classification factor differentiating between the two subjects. The test data set, which consists of 20 ET and 20 PD subjects, is used to test the technique and evaluate its performance. A “voting” between three results obtained from accelerometer signal and two EMG signals is applied to obtain the final discrimination. A total accuracy of discrimination of 85% is obtained.     

Nonlinear dynamics of heart rate variability in cocaine-exposed neonates during sleep

The aim of this study was to determine the effects of prenatal cocaine exposure (PCE) on the dynamics of heart rate variability in full-term neonates during sleep. R-R interval (RRI) time series from 9 infants with PCE and 12 controls during periods of stable quiet sleep and active sleep were analyzed using autoregressive modeling and nonlinear dynamics. There were no differences between the two groups in spectral power distribution, approximate entropy, correlation dimension, and nonlinear predictability. However, application of surrogate data analysis to these measures revealed a significant degree of nonlinear RRI dynamics in all subjects. A parametric model, consisting of a nonlinear delayed-feedback system with stochastic noise as the perturbing input, was employed to estimate the relative contributions of linear and nonlinear deterministic dynamics in the data. Both infant groups showed similar proportional contributions in linear, nonlinear, and stochastic dynamics. However, approximate entropy, correlation dimension, and nonlinear prediction error were all decreased in active versus quiet sleep; in addition, the parametric model revealed a doubling of the linear component and a halving of the nonlinear contribution to overall heart rate variability. Spectral analysis indicated a shift in relative power toward lower frequencies. We conclude that 1) RRI dynamics in infants with PCE and normal controls are similar; and 2) in both groups, sympathetic dominance during active sleep produces primarily periodic low-frequency oscillations in RRI, whereas in quiet sleep vagal modulation leads to RRI fluctuations that are broadband and dynamically more complex.     

应用非负矩阵分解方法提取注意力相关脑电特征

介绍了非负矩阵分解算法(NMF)的基本原理,给出一种利用NMF进行脑电能量谱特征提取的方法。设计试验对10个被试在三种不同注意任务中的脑电信号进行特征提取,并采用人工神经网络作为分类器进行分类测试。结果表明,NMF算法在高维特征空间具有较强的特征选择能力,其分类正确率明显高于主分量分析(PCA)方法和直接法,三种意识任务的分类正确率分别达到84.5、88%和86.5。     

Time–frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time before and after exercise using the recursive autoregressive model

Time–frequency (T–F) analysis is often used to study the non-stationary cardiovascular oscillations such as heart rate and blood pressure variabilities in dynamic situations. This study intends to use the T–F recursive autoregressive technique to investigate variability in pulse transit time (PTT), which is a cardiovascular parameter of emerging interest due to its potential to estimate blood pressure non-invasively, continuously and without a cuff. Recent studies suggest that PTT is not only related to systolic blood pressure (SBP) but also to heart rate. Therefore, in this study, variability of PTT is analyzed together with the variabilities of R–R interval (RRI) from electrocardiogram and beat-to-beat SBP on 9 normotensive subjects before and shortly after three successive bouts of treadmill exercise. The results showed that both low frequency (LF) and high frequency (HF) components were found in the spectra of RRI, SBP and PTT in the 5-min recordings collected before and after exercise. Compared to the baseline, a decrease in the power of the HF component of RRI followed by an increase in its LF component indicated firstly a vagal withdrawal and then sympathetic activity enhancement after successive bouts of exercise. On the other hand, although changes in the LF and HF components of PTT were more similar to those of SBP than of RRI, the LF/HF ratio of SBP was almost 4 times higher than that of PTT. Based on the results, it is therefore suggested that the relationship between SBP and PTT is frequency-dependent.     

老年慢性心力衰竭患者肿瘤坏死因子、脑钠肽水平变化及其相关性分析

目的：探讨老年慢性心力衰竭（CHF）肿瘤坏死因子α（TNF-α）以及脑利钠肽水平的变化,并对其进行相关性分析。方法：选择老年CHF患者59例,根据心功能分级,Ⅱ级19例,Ⅲ级25例,Ⅳ级15例;另选心功能正常的老年人36例。所有入选者予以血清BNP、TNF-α测定,并采用彩色多普勒超声测定左心室舒张末内径并计算左室射血分数（LVEF）。结果：与对照组比较,CHF组心功能Ⅲ、Ⅳ级患者TNF-α水平明显升高（P〈0．05）,心功能Ⅱ、Ⅲ、Ⅳ级患者血BNP水平明显升高（P〈0．05）,并随心功能分级加重而增加。血TNF-α水平与BNP呈正相关（r=0．57,P〈0．05）。CHF患者中血清TNF-α和BNP水平与LVEF比较均呈负相关（F-0．48,r=-0．64,P〈0．05）。结论：老年CHF患者血TNF-α显著升高,并与BNP及LVEF关系密切,是反应CHF患者心功能恶化的重要预测指标。     

A New Approach to Detect Congestive Heart Failure Using Short-Term Heart Rate Variability Measures

Heart rate variability (HRV) analysis has quantified the functioning of the autonomic regulation of the heart and heart''s ability to respond. However, majority of studies on HRV report several differences between patients with congestive heart failure (CHF) and healthy subjects, such as time-domain, frequency domain and nonlinear HRV measures. In the paper, we mainly presented a new approach to detect congestive heart failure (CHF) based on combination support vector machine (SVM) and three nonstandard heart rate variability (HRV) measures (e.g. SUM_TD, SUM_FD and SUM_IE). The CHF classification model was presented by using SVM classifier with the combination SUM_TD and SUM_FD. In the analysis performed, we found that the CHF classification algorithm could obtain the best performance with the CHF classification accuracy, sensitivity and specificity of 100%, 100%, 100%, respectively.     

Automated classification of bird and amphibian calls using machine learning: A comparison of methods

We compared the ability of three machine learning algorithms (linear discriminant analysis, decision tree, and support vector machines) to automate the classification of calls of nine frogs and three bird species. In addition, we tested two ways of characterizing each call to train/test the system. Calls were characterized with four standard call variables (minimum and maximum frequencies, call duration and maximum power) or eleven variables that included three standard call variables (minimum and maximum frequencies, call duration) and a coarse representation of call structure (frequency of maximum power in eight segments of the call). A total of 10,061 isolated calls were used to train/test the system. The average true positive rates for the three methods were: 94.95% for support vector machine (0.94% average false positive rate), 89.20% for decision tree (1.25% average false positive rate) and 71.45% for linear discriminant analysis (1.98% average false positive rate). There was no statistical difference in classification accuracy based on 4 or 11 call variables, but this efficient data reduction technique in conjunction with the high classification accuracy of the SVM is a promising combination for automated species identification by sound. By combining automated digital recording systems with our automated classification technique, we can greatly increase the temporal and spatial coverage of biodiversity data collection.     

Mechanisms of sympathoexcitation: single-unit analysis of muscle vasoconstrictor neurons in awake OSAS subjects.

In congestive heart failure (CHF), muscle sympathetic activity (MSNA) is greatly elevated, but our laboratory has shown that single muscle vasoconstrictor neurons primarily fire only once per cardiac interval, as in normal subjects (Elam M and Macefield VG. J Appl Physiol 91: 717-724, 2001; Macefield VG, Rundqvist B, Sverrisdottir YB, Wallin BG, and Elam M. Circulation 100: 1708-1713, 1999). In this study, we used patients with obstructive sleep apnea syndrome (OSAS) to test the hypothesis that this firing pattern is maintained in other states of sympathoexcitation. Unitary recordings were made from muscle vasoconstrictor neurons in eight awake OSAS patients. The average firing frequency of 12 units was 0.96 Hz and the firing probability 51%, similar to previous observations in CHF patients (0.98 Hz, 55%) but higher than in healthy subjects (0.40 Hz, 31%). However, the percentages of cardiac intervals in which neurons generated one, two, three, or four spikes were 59, 27, 10, and 3% in OSAS, compared with 71, 18, 7, and 2% in CHF and 73, 18, 5, and 3% in healthy subjects. Thus the firing pattern is different in OSAS and CHF, leading to rejection of the hypothesis: although in both conditions individual neurons show an increase in firing probability, in OSAS patients they also fire more often within a cardiac interval. It is likely that differences may also be apparent in other states of sympathoexcitation.     

Gender differences in autonomic cardiovascular regulation: spectral, hormonal, and hemodynamic indexes.

The autonomic nervous system drives variability in heart rate, vascular tone, cardiac ejection, and arterial pressure, but gender differences in autonomic regulation of the latter three parameters are not well documented. In addition to mean values, we used spectral analysis to calculate variability in arterial pressure, heart rate (R-R interval, RRI), stroke volume, and total peripheral resistance (TPR) and measured circulating levels of catecholamines and pancreatic polypeptide in two groups of 25 +/- 1.2-yr-old, healthy men and healthy follicular-phase women (40 total subjects, 10 men and 10 women per group). Group 1 subjects were studied supine, before and after beta- and muscarinic autonomic blockades, administered singly and together on separate days of study. Group 2 subjects were studied supine and drug free with the additional measurement of skin perfusion. In the unblocked state, we found that circulating levels of epinephrine and total spectral power of stroke volume, TPR, and skin perfusion ranged from two to six times greater in men than in women. The difference (men > women) in spectral power of TPR was maintained after beta- and muscarinic blockades, suggesting that the greater oscillations of vascular resistance in men may be alpha-adrenergically mediated. Men exhibited muscarinic buffering of mean TPR whereas women exhibited beta-adrenergic buffering of mean TPR as well as TPR and heart rate oscillations. Women had a greater distribution of RRI power in the breathing frequency range and a less negative slope of ln RRI power vs. ln frequency, both indicators that parasympathetic stimuli were the dominant influence on women's heart rate variability. The results of our study suggest a predominance of sympathetic vascular regulation in men compared with a dominant parasympathetic influence on heart rate regulation in women.     

Systemic inflammation and cell activation reflects morbidity in chronic heart failure

Chronic heart failure (CHF) leads to complex effects distant from the heart. As these changes may be reflected in the balance of systemic inflammatory and fibrotic immunomodulators we measured these potential biomarkers in ambulatory CHF patients. Using the New York Heart Association (NYHA; levels II-IV) functional classification, 30 CHF patients were compared with 21 age and gender matched controls. Peripheral blood levels of regulatory cytokines (TNF-α, TGF-β, KGF, IL-8, IL-10 and IL-12) and markers of cellular activation (CD11b, CD16, CD18, CD34, HLADR, CXCR1 and CCR5) were analysed by ELISA and flow cytometry, respectively. NYHA classification, which reflected increasing pulmonary microvascular pressure (E:E') but not ejection fraction, was positively associated with TGF-β and IL-10 (p≤0.03). Similarly, monocytes, as well as cell surface expression of the neutrophil adhesion molecule CD11b, and the macrophage complement receptor complex (CD11b/CD18), were increased in CHF patients (p≤0.03), while the chemokine receptor CXCR1 was decreased on cells of CHF patients. Twenty month follow-up of CHF subjects identified monocyte number as a powerful prognostic factor for cardio-pulmonary adverse events (p=0.001); however, no concurrent relationship with cellular activation marker expression was found. In subjects with CHF, monocytes, TGF-β, IL-10, CD11b/CD18 and CXCR1 expression in peripheral blood may act as novel biomarkers of immune activation and remodelling. Given the importance of dyspnea and the relationship of pulmonary microvascular pressure to the NYHA classification, we suggest these findings may reflect a contribution by the lung.     

Assessing the utility of SELDI-TOF and model averaging for serum proteomic biomarker discovery

The SELDI-TOF technique was used to profile serum proteins from Type 1 diabetes (T1D) patients and healthy autoantibody-negative (AbN) controls. Univariate and multivariate analyses were performed to identify putative biomarkers for T1D and to assess the reproducibility of the SELDI technique. We found 146 protein/peptide peaks (581 total peaks discovered) in human serum showing statistical differences in expression levels between T1D patients and controls, with 84% of these peaks showing technical replication. Because individual proteins did not offer great power for disease prediction, we used our model averaging approach that combines the information from multiple multivariate models to accurately classify T1D and control subjects (88.9% specificity and 90.0% sensitivity). Analyses of a test subset of the data showed less accuracy (82.8% specificity and 76.2% sensitivity), although the results are still positive. Unfortunately, no multivariate model could be replicated using the same samples. This first attempt of high throughput analyses of the human serum proteome in T1D patients suggests that model averaging is a viable method for developing biomarkers; however, the reproducibility of SELDI-TOF is currently not sufficient to be used for classification of complex diseases like T1D.     

Analysis of two-period crossover design in a multicenter clinical trial

A technique is discussed for analyzing a two-period crossover design for a multicenter trial using identical study protocols. The technique is a modification of the analysis originally proposed by Grizzle (1965, Biometrics 21, 467-480; 1974, Biometrics 30, 727) for analyzing a two-period crossover design when study is not a factor. A mixed model using the first baseline as a covariate is analyzed to increase the power of the test of significance of the treatment-by-period interaction. The baseline values are also used in a preliminary test.     

Excretion of Urinary Orosomucoid 1 Protein Is Elevated in Patients with Chronic Heart Failure

Easily screening markers for early detection of chronic heart failure (CHF) are lacking. We identified twenty differently expressed proteins including orosomucoid 1(ORM1) in urine between patients with CHF and normal controls by proteomic methods. Bioinformatics analyses suggested ORM1 could be used for further analysis. After verification by western blotting, the urinary levels of ORM1 were quantified with enzyme-linked immunosorbent assay (ELISA) by correcting for creatinine expression. The ORM1-Cr was significantly elevated in CHF patients than normal controls (6498.83±4300.21 versus 2102.26±1069.24 ng/mg). Furthermore, a Spearman analysis indicated that the urinary ORM1 levels had a high positive correlation with the classification of CHF, and the multivariate analysis suggested that the urinary ORM1 content was associated with the plasma amino-terminal pro- brain natriuretic peptide (NT-proBNP) (OR: 2.106, 95% CI: 1.213–3.524, P = 0.002) and the New York Heart Association (NYHA) classification (OR: 3.019, 95% CI: 1.329–4.721, P<0.001). In addition, receiving operating curve (ROC) analyses suggested that an optimum cut-off value of 2484.98 ng/mg with 90.91% sensitivity and 85.48% specificity, respectively, could be used for the diagnosis of CHF. To sum up, our findings indicate that ORM1 could be a potential novel urinary biomarker for the early detection of CHF.     

Resting-state multi-spectrum functional connectivity networks for identification of MCI patients

In this paper, a high-dimensional pattern classification framework, based on functional associations between brain regions during resting-state, is proposed to accurately identify MCI individuals from subjects who experience normal aging. The proposed technique employs multi-spectrum networks to characterize the complex yet subtle blood oxygenation level dependent (BOLD) signal changes caused by pathological attacks. The utilization of multi-spectrum networks in identifying MCI individuals is motivated by the inherent frequency-specific properties of BOLD spectrum. It is believed that frequency specific information extracted from different spectra may delineate the complex yet subtle variations of BOLD signals more effectively. In the proposed technique, regional mean time series of each region-of-interest (ROI) is band-pass filtered (0.025 ≤ ? ≤ 0.100 Hz) before it is decomposed into five frequency sub-bands. Five connectivity networks are constructed, one from each frequency sub-band. Clustering coefficient of each ROI in relation to the other ROIs are extracted as features for classification. Classification accuracy was evaluated via leave-one-out cross-validation to ensure generalization of performance. The classification accuracy obtained by this approach is 86.5%, which is an increase of at least 18.9% from the conventional full-spectrum methods. A cross-validation estimation of the generalization performance shows an area of 0.863 under the receiver operating characteristic (ROC) curve, indicating good diagnostic power. It was also found that, based on the selected features, portions of the prefrontal cortex, orbitofrontal cortex, temporal lobe, and parietal lobe regions provided the most discriminant information for classification, in line with results reported in previous studies. Analysis on individual frequency sub-bands demonstrated that different sub-bands contribute differently to classification, providing extra evidence regarding frequency-specific distribution of BOLD signals. Our MCI classification framework, which allows accurate early detection of functional brain abnormalities, makes an important positive contribution to the treatment management of potential AD patients.     

A measure of heart rate variability is sensitive to orthostatic challenge in women with chronic fatigue syndrome

The use of symptoms generated by head up tilt (HUT) is not a useful tool in identifying chronic fatigue syndrome (CFS). We investigated whether heart rate variability (HRV) assessed early during HUT might be useful. A sample of 46 female subjects (24 with CFS and 22 sedentary, age-matched healthy controls; CON) who had exhibited no difference in time to syncope during tilt was examined for HRV responses to 10 min of 70 degrees HUT after 5 min of baseline in the supine position. HRV data were analyzed by the method of coarse graining spectral analysis. Variables compared between groups included mean and standard deviation (SD(RRI)) of RR intervals (RRI), amplitudes of low- (A(LF); 0.04-0.15 Hz) and high-frequency (A(HF); >0.15 Hz) harmonic as well as aperiodic, fractal (A(FR); 1/f(beta)) spectral components, the spectral exponent beta, and the difference in these values between baseline and HUT for each subject. In the supine baseline, only mean RRI was significantly (P < 0.01) lower in CFS than in CON. During HUT, however, mean RRI (P < 0.01), SD(RRI) (P < 0.01), A(HF) (P < 0.05), and A(FR) (P < 0.01) were significantly lower in CFS than in CON. When the difference in values between baseline and HUT for each subject was examined, only the difference for A(FR) (deltaA(FR)) was significantly (P < 0.01) lower in CFS than in CON, suggesting that A(FR)is a disease-specific response of HRV to HUT. When a cut-off level was set to deltaA(FR) = -2.7 msec, the sensitivity and the specificity in differentiating CFS from controls were 90% and 72%, respectively. The data suggest that a decrease in aperiodic fractal component of HRV in response to HUT can be used to differentiate patients with CFS from CON.     

Investigation of topical application of procyanidin B-2 from apple to identify its potential use as a hair growing agent.

Procyanidin B-2 is a polyphenol compound we have identified in apple which acts as a hair-growing factor in the murine model both in vitro and in vivo. This report describes our investigation of the effects of 1% procyanidin B-2 tonic on human hair growth after sequential use for 6 months. A double-blind clinical test involving a total of 29 subjects was performed. Nineteen men in the procyanidin B-2 group and 10 men in the placebo control group were subjected to analyses. No adverse side effects were observed in either group. The hair-growing effect was evaluated using a macrophotography technique combined with measurements of the hair diameter of clipped hairs. The increase in number of total hairs in the designated scalp area (0.5 cm square = 0.25 cm2 area) of procyanidin B-2 group subjects after the 6-month trial was significantly greater than that of the placebo control group subjects (procyanidin B-2, 6.68 +/- 5.53 (mean +/- SD)/0.25 cm2; placebo, 0.08 +/- 4.56 (mean +/- SD)/0.25 cm2; P < 0.005, two-sample t test). The increase in number of terminal hairs, which are defined as hairs more than 60 microm in diameter, in the designated area (0.5 cm square = 0.25 cm2 area) of the procyanidin B-2 group subjects after the 6-month trial was significantly greater than that of the placebo control group subjects (procyanidin B-2, 1.99 +/- 2.58 (mean +/- SD)/0.25 cm2; placebo, -0.82 +/- 3.40 (mean +/- SD)/0.25 cm2; P < 0.02, two-sample t test). Procyanidin B-2 therapy shows potential as a safe and promising cure for male pattern baldness.     

Classification of brain-stem auditory evoked potentials by syntactic methods

A syntactic pattern recognition procedure for classification of brain-stem auditory evoked potential (BSAEP) is presented. A pre-processing stage of zero-phase bandpass filtering enhances the peaks and suppresses the noise. A finite-state grammar was designed to identify the peaks. Attributes of the peaks (latencies and amplitudes) that are identified are checked for their acceptability. A training run in 70 subjects of known diagnosis was perfomed finr-tune the system and build up necessary acceptance criteria. Peak latency differences are used for the classification rather than absolute peak latencies. Acceptance criteria for peak latency differences were empirically optimized. A data base of normal BSAEPs, created during the training run, was updated and used during the test run. Test of the classifier using 60 subjects yielded a classification accuracy of 83%. The classifier has acceptable accuracy and can be modified for other evoked potentials such as visual and somatosensory by establishing relevant attribute tables.     

Muscle pump-dependent self-perfusion mechanism in legs in normal subjects and patients with heart failure.

Leg venous pressure markedly falls during upright exercise via a muscle pump effect, creating de novo perfusion pressure. We examined physiological roles of this mechanism in increasing femoral artery blood flow (FABF) and its alterations in chronic heart failure (CHF). In 10 normal subjects and 10 patients with CHF, standard hemodynamic variables, mean ankle vein pressure (MAVP), and FABF with Doppler techniques were obtained during graded upright bicycle exercise. To evaluate a nonspecific blood flow response, normal subjects also performed supine exercise. In normal subjects, MAVP rapidly declined by 45 mmHg and FABF correspondingly increased 5.3-fold without a systemic pressor response during 10 s of light upright exercise at 5 W. Approximately 67% of the blood flow response was attributed to the venous pressure drop-dependent mechanism. In CHF patients, MAVP declined by only 36 mmHg and FABF increased only 1.7-fold during the same upright exercise. The muscle venous pump has an ability to increase FABF at least threefold via the venous pressure drop-dependent mechanism. This mechanism is impaired in CHF patients.     

The redistribution of power: neurocardiac signaling, alcohol and gender

Human adaptability involves interconnected biological and psychological control processes that determine how successful we are in meeting internal and environmental challenges. Heart rate variability (HRV), the variability in consecutive R-wave to R-wave intervals (RRI) of the electrocardiogram, captures synergy between the brain and cardiovascular control systems that modulate adaptive responding. Here we introduce a qualitatively new dimension of adaptive change in HRV quantified as a redistribution of spectral power by applying the Wasserstein distance with exponent 1 metric (W(1)) to RRI spectral data. We further derived a new index, D, to specify the direction of spectral redistribution and clarify physiological interpretation. We examined gender differences in real time RRI spectral power response to alcohol, placebo and visual cue challenges. Adaptive changes were observed as changes in power of the various spectral frequency bands (i.e., standard frequency domain HRV indices) and, during both placebo and alcohol intoxication challenges, as changes in the structure (shape) of the RRI spectrum, with a redistribution towards lower frequency oscillations. The overall conclusions from the present study are that the RRI spectrum is capable of a fluid and highly flexible response, even when oscillations (and thus activity at the sinoatrial node) are pharmacologically suppressed, and that low frequency oscillations serve a crucial but less studied role in physical and mental health.