Comput. Biol. Med. - Detection of artifacts from high energy bursts in neonatal EEG.

Tópicos

{ signal(2180) analysi(812) frequenc(800) }
{ data(1737) use(1416) pattern(1282) }
{ method(2212) result(1239) propos(1039) }
{ featur(3375) classif(2383) classifi(1994) }
{ detect(2391) sensit(1101) algorithm(908) }
{ case(1353) use(1143) diagnosi(1136) }
{ motion(1329) object(1292) video(1091) }
{ can(774) often(719) complex(702) }
{ activ(1138) subject(705) human(624) }
{ process(1125) use(805) approach(778) }
{ model(3404) distribut(989) bayesian(671) }
{ method(1557) propos(1049) approach(1037) }
{ use(976) code(926) identifi(902) }
{ measur(2081) correl(1212) valu(896) }
{ framework(1458) process(801) describ(734) }
{ implement(1333) system(1263) develop(1122) }
{ imag(2675) segment(2577) method(1081) }
{ concept(1167) ontolog(924) domain(897) }
{ featur(1941) imag(1645) propos(1176) }
{ blood(1257) pressur(1144) flow(957) }
{ patient(2837) hospit(1953) medic(668) }
{ cost(1906) reduc(1198) effect(832) }
{ sampl(1606) size(1419) use(1276) }
{ intervent(3218) particip(2042) group(1664) }
{ high(1669) rate(1365) level(1280) }
{ imag(1057) registr(996) error(939) }
{ imag(2830) propos(1344) filter(1198) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ model(2220) cell(1177) simul(1124) }
{ search(2224) databas(1162) retriev(909) }
{ howev(809) still(633) remain(590) }
{ perform(999) metric(946) measur(919) }
{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ age(1611) year(1155) adult(843) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ health(1844) social(1437) communiti(874) }
{ use(1733) differ(960) four(931) }
{ activ(1452) weight(1219) physic(1104) }
{ imag(1947) propos(1133) code(1026) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ network(2748) neural(1063) input(814) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ monitor(1329) mobil(1314) devic(1160) }
{ research(1218) medic(880) student(794) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }

Resumo

Detection of non-cerebral activities or artifacts, intermixed within the background EEG, is essential to discard them from subsequent pattern analysis. The problem is much harder in neonatal EEG, where the background EEG contains spikes, waves, and rapid fluctuations in amplitude and frequency. Existing artifact detection methods are mostly limited to detect only a subset of artifacts such as ocular, muscle or power line artifacts. Few methods integrate different modules, each for detection of one specific category of artifact. Furthermore, most of the reference approaches are implemented and tested on adult EEG recordings. Direct application of those methods on neonatal EEG causes performance deterioration, due to greater pattern variation and inherent complexity. A method for detection of a wide range of artifact categories in neonatal EEG is thus required. At the same time, the method should be specific enough to preserve the background EEG information. The current study describes a feature based classification approach to detect both repetitive (generated from ECG, EMG, pulse, respiration, etc.) and transient (generated from eye blinking, eye movement, patient movement, etc.) artifacts. It focuses on artifact detection within high energy burst patterns, instead of detecting artifacts within the complete background EEG with wide pattern variation. The objective is to find true burst patterns, which can later be used to identify the Burst-Suppression (BS) pattern, which is commonly observed during newborn seizure. Such selective artifact detection is proven to be more sensitive to artifacts and specific to bursts, compared to the existing artifact detection approaches applied on the complete background EEG. Several time domain, frequency domain, statistical features, and features generated by wavelet decomposition are analyzed to model the proposed bi-classification between burst and artifact segments. A feature selection method is also applied to select the feature subset producing highest classification accuracy. The suggested feature based classification method is executed using our recorded neonatal EEG dataset, consisting of burst and artifact segments. We obtain 78% sensitivity and 72% specificity as the accuracy measures. The accuracy obtained using the proposed method is found to be about 20% higher than that of the reference approaches. Joint use of the proposed method with our previous work on burst detection outperforms reference methods on simultaneous burst and artifact detection. As the proposed method supports detection of a wide range of artifact patterns, it can be improved to incorporate the detection of artifacts within other seizure patterns and background EEG information as well.

Resumo Limpo

detect noncerebr activ artifact intermix within background eeg essenti discard subsequ pattern analysi problem much harder neonat eeg background eeg contain spike wave rapid fluctuat amplitud frequenc exist artifact detect method most limit detect subset artifact ocular muscl power line artifact method integr differ modul detect one specif categori artifact furthermor refer approach implement test adult eeg record direct applic method neonat eeg caus perform deterior due greater pattern variat inher complex method detect wide rang artifact categori neonat eeg thus requir time method specif enough preserv background eeg inform current studi describ featur base classif approach detect repetit generat ecg emg puls respir etc transient generat eye blink eye movement patient movement etc artifact focus artifact detect within high energi burst pattern instead detect artifact within complet background eeg wide pattern variat object find true burst pattern can later use identifi burstsuppress bs pattern common observ newborn seizur select artifact detect proven sensit artifact specif burst compar exist artifact detect approach appli complet background eeg sever time domain frequenc domain statist featur featur generat wavelet decomposit analyz model propos biclassif burst artifact segment featur select method also appli select featur subset produc highest classif accuraci suggest featur base classif method execut use record neonat eeg dataset consist burst artifact segment obtain sensit specif accuraci measur accuraci obtain use propos method found higher refer approach joint use propos method previous work burst detect outperform refer method simultan burst artifact detect propos method support detect wide rang artifact pattern can improv incorpor detect artifact within seizur pattern background eeg inform well

Resumos Similares

Med Biol Eng Comput - ECG signal analysis for the assessment of sleep-disordered breathing and sleep pattern. ( 0,849317258689448 )
Int J Neural Syst - Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals. ( 0,810581152159277 )
Comput. Biol. Med. - Feature extraction and recognition of ictal EEG using EMD and SVM. ( 0,788792436916173 )
J Biomed Inform - A general framework for time series data mining based on event analysis: application to the medical domains of electroencephalography and stabilometry. ( 0,782977836435097 )
Methods Inf Med - Classification of sleep stages using multi-wavelet time frequency entropy and LDA. ( 0,757959234065941 )
J Med Syst - A wavelet transform based feature extraction and classification of cardiac disorder. ( 0,75278787835114 )
Comput Methods Programs Biomed - Feature extraction of the first difference of EMG time series for EMG pattern recognition. ( 0,744785923940952 )
Med Biol Eng Comput - Stability and distribution of steady-state somatosensory evoked potentials elicited by vibro-tactile stimulation. ( 0,733069003996962 )
Artif Intell Med - Automatic sleep scoring: a search for an optimal combination of measures. ( 0,731007340127884 )
Comput Methods Programs Biomed - Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. ( 0,730704130011838 )
J Clin Monit Comput - Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals. ( 0,728149665521002 )
IEEE J Biomed Health Inform - Model based Estimation of Aortic and Mitral valves Opening and Closing Timings in Developing Human Fetuses. ( 0,727700082888812 )
J Med Syst - Automatic classification of heartbeats using wavelet neural network. ( 0,724259961496964 )
Comput Methods Programs Biomed - Dual transmission model and related spectral content of the fetal heart sounds. ( 0,72141117255638 )
Med Biol Eng Comput - Classification of surface electromyographic signals by means of multifractal singularity spectrum. ( 0,711940034411745 )
J Med Syst - Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman Artificial Neural Networks and Wavelet Transform. ( 0,710265339932076 )
IEEE J Biomed Health Inform - Sleep and wake classification with actigraphy and respiratory effort using dynamic warping. ( 0,709138407235068 )
Artif Intell Med - Classification of healthy and abnormal swallows based on accelerometry and nasal airflow signals. ( 0,708904616690282 )
J Med Syst - HMM for classification of Parkinson's disease based on the raw gait data. ( 0,70660086308789 )
Comput Methods Programs Biomed - Optimal channel selection for analysis of EEG-sleep patterns of neonates. ( 0,705429867331942 )
Comput Methods Programs Biomed - A model-based method for computation of correlation dimension, Lyapunov exponents and synchronization from depth-EEG signals. ( 0,703081995158311 )
IEEE J Biomed Health Inform - Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction. ( 0,702435783049452 )
Comput Math Methods Med - A novel automatic detection system for ECG arrhythmias using maximum margin clustering with immune evolutionary algorithm. ( 0,701034488635507 )
Comput. Biol. Med. - Automatic classification of infant sleep based on instantaneous frequencies in a single-channel EEG signal. ( 0,700579552015342 )
Comput. Biol. Med. - Current methods in electrocardiogram characterization. ( 0,700442877097555 )
J Med Syst - Application of higher order spectra to identify epileptic EEG. ( 0,693979130453777 )
J Clin Monit Comput - Heart rate variability analysis during central hypovolemia using wavelet transformation. ( 0,693891505404032 )
J Med Syst - Analysis of infant cry through weighted linear prediction cepstral coefficients and Probabilistic Neural Network. ( 0,693253217454391 )
Med Biol Eng Comput - Pathological speech signal analysis and classification using empirical mode decomposition. ( 0,692499483821631 )
J Clin Monit Comput - ECG myogenic artifacts during clonic seizures: a disturbing (and interesting) finding. ( 0,692402152725335 )
Med Biol Eng Comput - Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. ( 0,692371774213968 )
J Clin Monit Comput - Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study. ( 0,691689394993342 )
Med Biol Eng Comput - Cross-correlation of EEG frequency bands and heart rate variability for sleep apnoea classification. ( 0,690045469401755 )
Comput. Biol. Med. - Fractal and EMD based removal of baseline wander and powerline interference from ECG signals. ( 0,690040032720207 )
Int J Neural Syst - Detection of driving fatigue by using noncontact EMG and ECG signals measurement system. ( 0,688043013743734 )
J Med Syst - A new QRS detection method using wavelets and artificial neural networks. ( 0,687361183746981 )
Med Biol Eng Comput - Voiceless Arabic vowels recognition using facial EMG. ( 0,685672312056167 )
Comput Methods Programs Biomed - Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier. ( 0,685344315650456 )
Comput Methods Programs Biomed - Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions. ( 0,684844244884719 )
Med Biol Eng Comput - Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability. ( 0,682125939548822 )
IEEE J Biomed Health Inform - Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM-FM Decomposition. ( 0,677030134370151 )
Comput Math Methods Med - Probabilistic source separation for robust fetal electrocardiography. ( 0,675837039734465 )
Int J Neural Syst - Application of higher order cumulant features for cardiac health diagnosis using ECG signals. ( 0,673951932532707 )
Comput. Biol. Med. - Noninvasive detection of mechanical prosthetic heart valve disorder. ( 0,67209449073042 )
Comput Math Methods Med - A robust algorithm for optimisation and customisation of fractal dimensions of time series modified by nonlinearly scaling their time derivatives: mathematical theory and practical applications. ( 0,671305717075022 )
Int J Neural Syst - Comparison of ictal and interictal EEG signals using fractal features. ( 0,669813722645824 )
Comput Math Methods Med - The analysis of surface EMG signals with the wavelet-based correlation dimension method. ( 0,669025528502213 )
Int J Neural Syst - Application of quantum-behaved particle swarm optimization to motor imagery EEG classification. ( 0,668740472212594 )
J Clin Monit Comput - A quantitative EEG method for detecting post clamp changes during carotid endarterectomy. ( 0,668087571899385 )
Comput Methods Programs Biomed - QRS detection based on wavelet coefficients. ( 0,668010407348647 )
IEEE J Biomed Health Inform - Automated detection of perturbed cardiac physiology during oral food allergen challenge in children. ( 0,666971334943806 )
Comput Methods Programs Biomed - Linear and nonlinear analysis of normal and CAD-affected heart rate signals. ( 0,665147884612636 )
Comput Methods Programs Biomed - Neural network and wavelet average framing percentage energy for atrial fibrillation classification. ( 0,663445463567015 )
Med Biol Eng Comput - Remote sensing of patterns of cardiac activity on an ambulatory subject using millimeter-wave interferometry and statistical methods. ( 0,662413778527442 )
Comput Methods Programs Biomed - Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data. ( 0,660331064540398 )
Comput. Biol. Med. - Real-time electrocardiogram P-QRS-T detection-delineation algorithm based on quality-supported analysis of characteristic templates. ( 0,65733039402671 )
Methods Inf Med - Long-term correlations and complexity analysis of the heart rate variability signal during sleep. Comparing normal and pathologic subjects. ( 0,655779922177643 )
Comput. Biol. Med. - Odorant recognition using biological responses recorded in olfactory bulb of rats. ( 0,65485535410328 )
IEEE J Biomed Health Inform - Automatic annotation of seismocardiogram with high-frequency precordial accelerations. ( 0,654705285414268 )
Methods Inf Med - Robust detection of sleep apnea from Holter ECGs. Joint assessment of modulations in QRS amplitude and respiratory myogram interference. ( 0,653785166709467 )
Med Biol Eng Comput - SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. ( 0,65251494401344 )
Int J Neural Syst - Multi-instance dictionary learning for detecting abnormal events in surveillance videos. ( 0,65240565472296 )
Methods Inf Med - Linear and nonlinear analysis of base lung sound in extrinsic allergic alveolitis patients in comparison to healthy subjects. ( 0,650631402589822 )
Comput. Biol. Med. - Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm. ( 0,649898261273031 )
Comput Math Methods Med - Coercively adjusted auto regression model for forecasting in epilepsy EEG. ( 0,648735666978415 )
Med Biol Eng Comput - Characteristics of the swallowing sounds recorded in the ear, nose and on trachea. ( 0,648055848302797 )
Comput Math Methods Med - Evaluation of EEG features in decoding individual finger movements from one hand. ( 0,646563890678435 )
Comput Methods Programs Biomed - Automatic classification of sleep stages based on the time-frequency image of EEG signals. ( 0,646273394924237 )
J Med Syst - Employment and comparison of different Artificial Neural Networks for epilepsy diagnosis from EEG signals. ( 0,645503485829671 )
Med Biol Eng Comput - Classification of multichannel EEG patterns using parallel hidden Markov models. ( 0,645295363187096 )
Comput Methods Programs Biomed - Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. ( 0,644601691738044 )
Comput Math Methods Med - Analyzing EEG of quasi-brain-death based on dynamic sample entropy measures. ( 0,643757978588966 )
Comput. Biol. Med. - Estimating cognitive workload using wavelet entropy-based features during an arithmetic task. ( 0,643226667779391 )
J Clin Monit Comput - Multi-scale sample entropy of electroencephalography during sevoflurane anesthesia. ( 0,640693911857387 )
Methods Inf Med - Central sleep apnea detection from ECG-derived respiratory signals. Application of multivariate recurrence plot analysis. ( 0,639573290935116 )
Comput Math Methods Med - Higher-order spectrum in understanding nonlinearity in EEG rhythms. ( 0,639443451915035 )
Comput. Biol. Med. - Binary symbolic dynamics classifies heart rate variability patterns linked to autonomic modulations. ( 0,639299353286775 )
Comput Methods Programs Biomed - Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition. ( 0,639122008797755 )
Med Biol Eng Comput - Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis. ( 0,637724578114619 )
J Med Syst - A pilot study on image analysis techniques for extracting early uterine cervix cancer cell features. ( 0,637521647778188 )
IEEE J Biomed Health Inform - EEG activity during movement planning encodes upcoming peak speed and acceleration and improves the accuracy in predicting hand kinematics. ( 0,637388790324411 )
J Med Syst - Multi-feature characterization of epileptic activity for construction of an automated internet-based annotated classification. ( 0,637180478080042 )
Comput Methods Programs Biomed - Automatic heart sound detection in pediatric patients without electrocardiogram reference via pseudo-affine Wigner-Ville distribution and Haar wavelet lifting. ( 0,635303326448422 )
Med Biol Eng Comput - Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features. ( 0,635206232839429 )
Artif Intell Med - Comparative study of approximate entropy and sample entropy robustness to spikes. ( 0,633243438675909 )
Comput. Biol. Med. - Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. ( 0,633192790886118 )
Int J Neural Syst - Automated diagnosis of epilepsy using CWT, HOS and texture parameters. ( 0,632521420145526 )
Comput. Biol. Med. - Ant colony optimization-based feature selection method for surface electromyography signals classification. ( 0,632508535157608 )
Comput Methods Programs Biomed - Classification of the electrocardiogram signals using supervised classifiers and efficient features. ( 0,632130299287997 )
Comput Math Methods Med - Corticomuscular coherence analysis on hand movement distinction for active rehabilitation. ( 0,628733972946257 )
Comput Math Methods Med - An automated optimal engagement and attention detection system using electrocardiogram. ( 0,628674901522531 )
Comput Methods Programs Biomed - Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. ( 0,628259000495491 )
Med Biol Eng Comput - The application of Hilbert-Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions. ( 0,62726538568668 )
Comput. Biol. Med. - A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection. ( 0,627125494602137 )
J Med Syst - Automatic and adaptive classification of electroencephalographic signals for brain computer interfaces. ( 0,625984377020504 )
Comput Methods Programs Biomed - Broadband noise suppression and feature identification of ECG waveforms using mathematical morphology and embedding theorem. ( 0,624717308951368 )
Comput. Biol. Med. - Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment. ( 0,624443173624327 )
Methods Inf Med - Automatic heart rate normalization for accurate energy expenditure estimation. An analysis of activities of daily living and heart rate features. ( 0,623772416912314 )
J Med Syst - Detection and localization of myocardial infarction using K-nearest neighbor classifier. ( 0,623711684144308 )
Comput Math Methods Med - Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion. ( 0,623663877640561 )