J Clin Monit Comput - Heart rate variability analysis during central hypovolemia using wavelet transformation.

Tópicos

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

Resumo

Detection of hypovolemia prior to overt hemodynamic decompensation remains an elusive goal in the treatment of critically injured patients in both civilian and combat settings. Monitoring of heart rate variability has been advocated as a potential means to monitor the rapid changes in the physiological state of hemorrhaging patients, with the most popular methods involving calculation of the R-R interval signal's power spectral density (PSD) or use of fractal dimensions (FD). However, the latter method poses technical challenges, while the former is best suited to stationary signals rather than the non-stationary R-R interval. Both approaches are also limited by high inter- and intra-individual variability, a serious issue when applying these indices to the clinical setting. We propose an approach which applies the discrete wavelet transform (DWT) to the R-R interval signal to extract information at both 500 and 125 Hz sampling rates. The utility of machine learning models based on these features were tested in assessing electrocardiogram signals from volunteers subjected to lower body negative pressure induced central hypovolemia as a surrogate of hemorrhage. These machine learning models based on DWT features were compared against those based on the traditional PSD and FD, at both sampling rates and their performance was evaluated based on leave-one-subject-out fold cross-validation. Results demonstrate that the proposed DWT-based model outperforms individual PSD and FD methods as well as the combination of these two traditional methods at both sample rates of 500 Hz (p value <0.0001) and 125 Hz (p value <0.0001) in detecting the degree of hypovolemia. These findings indicate the potential of the proposed DWT approach in monitoring the physiological changes caused by hemorrhage. The speed and relatively low computational costs in deriving these features may make it particularly suited for implementation in portable devices for remote monitoring.

Resumo Limpo

detect hypovolemia prior overt hemodynam decompens remain elus goal treatment critic injur patient civilian combat set monitor heart rate variabl advoc potenti mean monitor rapid chang physiolog state hemorrhag patient popular method involv calcul rr interv signal power spectral densiti psd use fractal dimens fd howev latter method pose technic challeng former best suit stationari signal rather nonstationari rr interv approach also limit high inter intraindividu variabl serious issu appli indic clinic set propos approach appli discret wavelet transform dwt rr interv signal extract inform hz sampl rate util machin learn model base featur test assess electrocardiogram signal volunt subject lower bodi negat pressur induc central hypovolemia surrog hemorrhag machin learn model base dwt featur compar base tradit psd fd sampl rate perform evalu base leaveonesubjectout fold crossvalid result demonstr propos dwtbase model outperform individu psd fd method well combin two tradit method sampl rate hz p valu hz p valu detect degre hypovolemia find indic potenti propos dwt approach monitor physiolog chang caus hemorrhag speed relat low comput cost deriv featur may make particular suit implement portabl devic remot monitor

Resumos Similares

Comput. Biol. Med. - Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. ( 0,761463204391159 )
Comput Math Methods Med - Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion. ( 0,719211880691371 )
J Med Syst - A wavelet transform based feature extraction and classification of cardiac disorder. ( 0,718096044938849 )
IEEE J Biomed Health Inform - Sleep and wake classification with actigraphy and respiratory effort using dynamic warping. ( 0,717417405332163 )
Comput Methods Programs Biomed - Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. ( 0,716143945405468 )
J Med Syst - HMM for classification of Parkinson's disease based on the raw gait data. ( 0,714197534083593 )
IEEE J Biomed Health Inform - Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction. ( 0,711689436235699 )
J Clin Monit Comput - Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study. ( 0,705261990644966 )
Int J Neural Syst - Detection of driving fatigue by using noncontact EMG and ECG signals measurement system. ( 0,698537471557418 )
Comput. Biol. Med. - Feature extraction and recognition of ictal EEG using EMD and SVM. ( 0,695415588814841 )
Comput Methods Programs Biomed - A model-based method for computation of correlation dimension, Lyapunov exponents and synchronization from depth-EEG signals. ( 0,695394352020913 )
Comput. Biol. Med. - Detection of artifacts from high energy bursts in neonatal EEG. ( 0,693891505404032 )
J Med Syst - Application of higher order spectra to identify epileptic EEG. ( 0,690390783746638 )
Med Biol Eng Comput - Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. ( 0,689523054887945 )
J Clin Monit Comput - Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals. ( 0,68342119988846 )
Comput. Biol. Med. - Automatic classification of infant sleep based on instantaneous frequencies in a single-channel EEG signal. ( 0,682952198063332 )
Methods Inf Med - Automatic heart rate normalization for accurate energy expenditure estimation. An analysis of activities of daily living and heart rate features. ( 0,680229263459052 )
Med Biol Eng Comput - Classification of surface electromyographic signals by means of multifractal singularity spectrum. ( 0,676519930211189 )
Int J Neural Syst - Application of quantum-behaved particle swarm optimization to motor imagery EEG classification. ( 0,674841518596974 )
Comput. Biol. Med. - Odorant recognition using biological responses recorded in olfactory bulb of rats. ( 0,674709132980827 )
J Med Syst - Diagnosis of epilepsy from electroencephalography signals using multilayer perceptron and Elman Artificial Neural Networks and Wavelet Transform. ( 0,674370048803401 )
Comput Methods Programs Biomed - Feature extraction of the first difference of EMG time series for EMG pattern recognition. ( 0,668589401515798 )
IEEE J Biomed Health Inform - Model based Estimation of Aortic and Mitral valves Opening and Closing Timings in Developing Human Fetuses. ( 0,664255972518206 )
Comput. Biol. Med. - Noninvasive detection of mechanical prosthetic heart valve disorder. ( 0,663390861540799 )
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. ( 0,662743315983684 )
Artif Intell Med - Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples. ( 0,66014832081665 )
Med Biol Eng Comput - SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. ( 0,659821855814115 )
Comput Methods Programs Biomed - Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. ( 0,655301718621741 )
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. ( 0,652769702848574 )
Int J Neural Syst - Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals. ( 0,649990340401297 )
Med Biol Eng Comput - Cross-correlation of EEG frequency bands and heart rate variability for sleep apnoea classification. ( 0,64926728353338 )
Comput. Biol. Med. - Fractal and EMD based removal of baseline wander and powerline interference from ECG signals. ( 0,648962875188654 )
J Med Syst - A new QRS detection method using wavelets and artificial neural networks. ( 0,648513775067844 )
Comput Methods Programs Biomed - Clustering technique-based least square support vector machine for EEG signal classification. ( 0,647845579484047 )
Int J Neural Syst - Comparison of ictal and interictal EEG signals using fractal features. ( 0,647819524887448 )
IEEE J Biomed Health Inform - Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM-FM Decomposition. ( 0,645364552143875 )
Med Biol Eng Comput - Voiceless Arabic vowels recognition using facial EMG. ( 0,645051761259551 )
Comput Methods Programs Biomed - Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal. ( 0,644974473410252 )
J Med Syst - Automatic classification of heartbeats using wavelet neural network. ( 0,643481026652433 )
IEEE J Biomed Health Inform - Actigraphy-based scratch detection using logistic regression. ( 0,642141127604183 )
Med Biol Eng Comput - Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. ( 0,641468489300483 )
Methods Inf Med - Classification of sleep stages using multi-wavelet time frequency entropy and LDA. ( 0,639857597763819 )
J Med Syst - Automatic and adaptive classification of electroencephalographic signals for brain computer interfaces. ( 0,639337801507223 )
Comput Methods Programs Biomed - Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions. ( 0,637487012759081 )
Comput. Biol. Med. - PcHD: personalized classification of heartbeat types using a decision tree. ( 0,637203135036952 )
J Med Syst - Employment and comparison of different Artificial Neural Networks for epilepsy diagnosis from EEG signals. ( 0,635882089528347 )
Int J Neural Syst - Application of higher order cumulant features for cardiac health diagnosis using ECG signals. ( 0,633713577271365 )
Med Biol Eng Comput - Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features. ( 0,631875641373644 )
J Med Syst - Detection of carotid artery disease by using Learning Vector Quantization Neural Network. ( 0,6298972126608 )
Comput Math Methods Med - The analysis of surface EMG signals with the wavelet-based correlation dimension method. ( 0,629402273297643 )
J Med Syst - Analysis of infant cry through weighted linear prediction cepstral coefficients and Probabilistic Neural Network. ( 0,628148984986659 )
J Clin Monit Comput - Multi-scale sample entropy of electroencephalography during sevoflurane anesthesia. ( 0,624085324713303 )
J Clin Monit Comput - ECG myogenic artifacts during clonic seizures: a disturbing (and interesting) finding. ( 0,62199184686834 )
Comput Methods Programs Biomed - Classification of the electrocardiogram signals using supervised classifiers and efficient features. ( 0,620276982713215 )
Med Biol Eng Comput - Classification of multichannel EEG patterns using parallel hidden Markov models. ( 0,619779613298178 )
Artif Intell Med - Automatic sleep scoring: a search for an optimal combination of measures. ( 0,617035598812736 )
Comput Math Methods Med - Evaluation of EEG features in decoding individual finger movements from one hand. ( 0,616774554929035 )
Methods Inf Med - Linear and fractal heart rate dynamics during sleep at high altitude. Investigation with textile technology. ( 0,616559199077533 )
Artif Intell Med - Mood recognition in bipolar patients through the PSYCHE platform: preliminary evaluations and perspectives. ( 0,616526798937848 )
J Clin Monit Comput - A quantitative EEG method for detecting post clamp changes during carotid endarterectomy. ( 0,613966585455039 )
Comput Math Methods Med - A novel automatic detection system for ECG arrhythmias using maximum margin clustering with immune evolutionary algorithm. ( 0,613198819020506 )
Med Biol Eng Comput - Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations. ( 0,613155521615702 )
Int J Neural Syst - Automated diagnosis of epilepsy using CWT, HOS and texture parameters. ( 0,610735807886942 )
BMC Med Inform Decis Mak - Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. ( 0,610016100636311 )
Med Biol Eng Comput - A classification scheme for ventricular arrhythmias using wavelets analysis. ( 0,609208006917467 )
IEEE J Biomed Health Inform - Optimization of heartbeat detection in fiber-optic unobtrusive measurements by using maximum a posteriori probability estimation. ( 0,609077531143964 )
Comput. Biol. Med. - Binary symbolic dynamics classifies heart rate variability patterns linked to autonomic modulations. ( 0,608545187964974 )
Comput. Biol. Med. - Estimating cognitive workload using wavelet entropy-based features during an arithmetic task. ( 0,605177449717895 )
Comput. Biol. Med. - Ant colony optimization-based feature selection method for surface electromyography signals classification. ( 0,604196399600145 )
J Med Syst - Improved particle swarm optimization algorithm for android medical care IOT using modified parameters. ( 0,602318850656992 )
J Med Syst - A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. ( 0,601971430416411 )
Comput. Biol. Med. - Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm. ( 0,599609194314456 )
IEEE J Biomed Health Inform - Novel fractal feature-based multiclass glaucoma detection and progression prediction. ( 0,598963650072815 )
Artif Intell Med - Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. ( 0,598008798400117 )
IEEE J Biomed Health Inform - A low-complexity ECG feature extraction algorithm for mobile healthcare applications. ( 0,59735997829394 )
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. ( 0,597349748100489 )
J Med Syst - Variable threshold method for ECG R-peak detection. ( 0,597016734114476 )
Comput. Biol. Med. - Current methods in electrocardiogram characterization. ( 0,59585154094417 )
Comput Methods Programs Biomed - Automatic classification of sleep stages based on the time-frequency image of EEG signals. ( 0,595848227809524 )
Comput. Biol. Med. - Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. ( 0,59387866516632 )
Artif Intell Med - Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. ( 0,592749397064823 )
Med Biol Eng Comput - High-resolution esophageal long-term ECG allows detailed atrial wave morphology analysis in case of atrial ectopic beats. ( 0,591630880224372 )
Comput Methods Programs Biomed - ECG beat classification using a cost sensitive classifier. ( 0,59131825616148 )
Methods Inf Med - Prediction of countershock success in patients using the autoregressive spectral estimation. ( 0,5906202410646 )
AMIA Annu Symp Proc - A discriminative approach to EEG seizure detection. ( 0,589817020463732 )
Artif Intell Med - A computer vision framework for finger-tapping evaluation in Parkinson's disease. ( 0,588573476986786 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,588157110764514 )
Comput Math Methods Med - Probabilistic source separation for robust fetal electrocardiography. ( 0,587258788851579 )
Comput. Biol. Med. - Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury. ( 0,587193773663003 )
Med Biol Eng Comput - Comparison of real beat-to-beat signals with commercially available 4?Hz sampling on the evaluation of foetal heart rate variability. ( 0,586797657743195 )
J Med Syst - A comprehensive study of channel estimation for WBAN-based healthcare systems: feasibility of using multiband UWB. ( 0,58632788735601 )
Artif Intell Med - A computer-aided detection system for clustered microcalcifications. ( 0,586321028761717 )
Comput Methods Programs Biomed - Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier. ( 0,586100884849266 )
J Med Syst - Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders. ( 0,58159422488814 )
J Med Syst - Classification of epilepsy using high-order spectra features and principle component analysis. ( 0,581538780239226 )
J Clin Monit Comput - Respiratory change in ECG-wave amplitude is a reliable parameter to estimate intravascular volume status. ( 0,581025616538316 )
Comput. Biol. Med. - Hypodensity extractor: a phantom study. ( 0,580889580574259 )
Comput. Biol. Med. - Wavelet adaptation for automatic voice disorders sorting. ( 0,580231421341451 )
J Biomed Inform - A general framework for time series data mining based on event analysis: application to the medical domains of electroencephalography and stabilometry. ( 0,580094423238657 )
Comput Methods Programs Biomed - QRS detection based on wavelet coefficients. ( 0,580008683751685 )