J Med Syst - Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders.

Tópicos

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

Resumo

Different approaches have been applied for quantitative analysis of EMG signals. This study introduces the effect of Multiscale Principal Component Analysis (MSPCA) denoising method in ElectroMyoGram (EMG) signal classification. The effect of the MSPCA denoising method discussed on EMG signal classification. In addition, effect of Multiple Single Classification (MUSIC) feature extraction method presented and compared for the classification of EMG signals. The results were accomplished on the basis of EMG signal data to classify into normal, ALS or myopathic. Furthermore, total accuracy of classifiers such as k-Nearest Neighbor (k-NN), Artificial Neural Network (ANN) and Support Vector Machines (SVMs) were discussed. Significant results were found by using MSPCA denoising method. The comparisons between the developed classifiers were based on a number of scalar performances such as sensitivity, specificity, accuracy, F-measure and area under ROC curve (AUC). The results show that MSPCA de-noising has considerably increased the accuracy as compared to EMG data without MSPCA de-noising.

Resumo Limpo

differ approach appli quantit analysi emg signal studi introduc effect multiscal princip compon analysi mspca denois method electromyogram emg signal classif effect mspca denois method discuss emg signal classif addit effect multipl singl classif music featur extract method present compar classif emg signal result accomplish basi emg signal data classifi normal al myopath furthermor total accuraci classifi knearest neighbor knn artifici neural network ann support vector machin svms discuss signific result found use mspca denois method comparison develop classifi base number scalar perform sensit specif accuraci fmeasur area roc curv auc result show mspca denois consider increas accuraci compar emg data without mspca denois

Resumos Similares

IEEE J Biomed Health Inform - Novel fractal feature-based multiclass glaucoma detection and progression prediction. ( 0,807503675440043 )
Comput Math Methods Med - Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion. ( 0,792973671956065 )
Comput Methods Programs Biomed - Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. ( 0,790602357493306 )
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. ( 0,787211253442358 )
Comput Methods Programs Biomed - Classification of the electrocardiogram signals using supervised classifiers and efficient features. ( 0,785752598198797 )
Artif Intell Med - Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples. ( 0,765025548118715 )
Med Biol Eng Comput - Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. ( 0,763891800336146 )
Comput Methods Programs Biomed - Automatic classification of the interferential tear film lipid layer using colour texture analysis. ( 0,755078195094032 )
Comput. Biol. Med. - Ant colony optimization-based feature selection method for surface electromyography signals classification. ( 0,754562177870865 )
Int J Neural Syst - Application of quantum-behaved particle swarm optimization to motor imagery EEG classification. ( 0,744008721374087 )
J Med Syst - Detection of carotid artery disease by using Learning Vector Quantization Neural Network. ( 0,74317791228841 )
Comput. Biol. Med. - An ensemble system for automatic sleep stage classification using single channel EEG signal. ( 0,740102235979715 )
J Med Syst - A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. ( 0,737132943507717 )
Comput Methods Programs Biomed - Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. ( 0,736395127525608 )
Comput Methods Programs Biomed - A hybrid system based on information gain and principal component analysis for the classification of transcranial Doppler signals. ( 0,735149679493871 )
J Am Med Inform Assoc - Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers. ( 0,731410553410329 )
Int J Neural Syst - Automated diagnosis of epilepsy using CWT, HOS and texture parameters. ( 0,730923661425744 )
J Am Med Inform Assoc - A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. ( 0,72949312245029 )
Int J Neural Syst - Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy. ( 0,729172643002927 )
J Med Syst - A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases. ( 0,728904090107129 )
Int J Neural Syst - Comparison of ictal and interictal EEG signals using fractal features. ( 0,725530034908255 )
Comput. Biol. Med. - Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders. ( 0,725158776393277 )
J Med Syst - An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method. ( 0,724905478734508 )
Med Biol Eng Comput - SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. ( 0,724875139701153 )
Artif Intell Med - Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. ( 0,724822393902142 )
Comput. Biol. Med. - Odorant recognition using biological responses recorded in olfactory bulb of rats. ( 0,72285363145918 )
Comput Methods Programs Biomed - A random forest classifier for lymph diseases. ( 0,722695543505818 )
BMC Med Inform Decis Mak - Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. ( 0,722020863593519 )
J Med Syst - Applying cybernetic technology to diagnose human pulmonary sounds. ( 0,721488670189129 )
Comput Methods Programs Biomed - Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. ( 0,719937399469516 )
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. ( 0,718259114399532 )
Comput Methods Programs Biomed - Clustering technique-based least square support vector machine for EEG signal classification. ( 0,716923849819807 )
Comput Methods Programs Biomed - Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set. ( 0,716028411523358 )
J Med Syst - SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. ( 0,713557919973031 )
Comput Biol Chem - Derivation of an artificial gene to improve classification accuracy upon gene selection. ( 0,712929894517572 )
Artif Intell Med - Improving the accuracy of suicide attempter classification. ( 0,710017509826596 )
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. ( 0,709466546671943 )
Comput Methods Programs Biomed - Automatic cervical cell segmentation and classification in Pap smears. ( 0,709135407119163 )
J Med Syst - A new approach for concealed information identification based on ERP assessment. ( 0,708370318993365 )
Comput Methods Programs Biomed - A new hybrid intelligent system for accurate detection of Parkinson's disease. ( 0,707084564536363 )
J Med Syst - An integrated index for the identification of diabetic retinopathy stages using texture parameters. ( 0,705525131182614 )
Comput Biol Chem - A novel divide-and-merge classification for high dimensional datasets. ( 0,703991404002567 )
Med Biol Eng Comput - Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. ( 0,7035805598228 )
Comput Methods Programs Biomed - Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA). ( 0,700249998616479 )
Comput. Biol. Med. - Noninvasive detection of mechanical prosthetic heart valve disorder. ( 0,69900019837885 )
J Med Syst - Classification of normal and diseased liver shapes based on Spherical Harmonics coefficients. ( 0,698983035470764 )
Comput. Biol. Med. - Feature extraction and recognition of ictal EEG using EMD and SVM. ( 0,69875812038081 )
J Med Syst - A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. ( 0,697218105797644 )
IEEE Trans Image Process - A novel technique for subpixel image classification based on support vector machine. ( 0,696908366763859 )
Med Biol Eng Comput - Classification of multichannel EEG patterns using parallel hidden Markov models. ( 0,695008020041506 )
Comput Methods Programs Biomed - ECG beat classification using a cost sensitive classifier. ( 0,694452269126497 )
Comput Biol Chem - Information-theoretic approaches to SVM feature selection for metagenome read classification. ( 0,692994597356192 )
Comput. Biol. Med. - Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs. ( 0,692166064910798 )
Artif Intell Med - Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand. ( 0,691407567561702 )
J Biomed Inform - An efficient statistical feature selection approach for classification of gene expression data. ( 0,690970995546528 )
Comput Methods Programs Biomed - Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. ( 0,689835866472365 )
Comput Math Methods Med - SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds. ( 0,689475646601079 )
J Med Syst - Application of higher order spectra to identify epileptic EEG. ( 0,689222534778545 )
J Clin Monit Comput - Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals. ( 0,687963783582281 )
IEEE J Biomed Health Inform - Classification of color images of dermatological ulcers. ( 0,685596438938192 )
Comput Math Methods Med - Discrimination between Alzheimer's disease and mild cognitive impairment using SOM and PSO-SVM. ( 0,685197361145514 )
J Med Syst - Employment and comparison of different Artificial Neural Networks for epilepsy diagnosis from EEG signals. ( 0,685188709827532 )
IEEE J Biomed Health Inform - Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction. ( 0,685143934228777 )
Comput. Biol. Med. - Keratin protein property based classification of mammals and non-mammals using machine learning techniques. ( 0,684820724457366 )
Int J Neural Syst - Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. ( 0,683229816677041 )
Artif Intell Med - Selection of effective features for ECG beat recognition based on nonlinear correlations. ( 0,682758867258484 )
Comput. Biol. Med. - Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. ( 0,682152396519968 )
Comput. Biol. Med. - Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI. ( 0,681871087262029 )
Med Biol Eng Comput - Feature selection on movement imagery discrimination and attention detection. ( 0,681809907387299 )
Brief. Bioinformatics - Class-imbalanced classifiers for high-dimensional data. ( 0,681732810636266 )
Comput. Biol. Med. - Breast-cancer identification using HMM-fuzzy approach. ( 0,680600734856837 )
AMIA Annu Symp Proc - Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression. ( 0,679207439830666 )
Comput. Biol. Med. - On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. ( 0,678718132356059 )
Comput. Biol. Med. - Contourlet-based mammography mass classification using the SVM family. ( 0,678033368855914 )
J Clin Monit Comput - Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study. ( 0,677750323170295 )
Comput. Biol. Med. - Gene expression microarray classification using PCA-BEL. ( 0,6759951202654 )
J Biomed Inform - Automatic figure classification in bioscience literature. ( 0,675665297907708 )
Med Biol Eng Comput - Pathological speech signal analysis and classification using empirical mode decomposition. ( 0,675359143850457 )
J Med Syst - Automatic and adaptive classification of electroencephalographic signals for brain computer interfaces. ( 0,674442802869421 )
Comput Methods Programs Biomed - Complex extreme learning machine applications in terahertz pulsed signals feature sets. ( 0,673076788006497 )
Int J Neural Syst - Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis. ( 0,672613855526302 )
Comput. Biol. Med. - Medical decision support system for diagnosis of neuromuscular disorders using DWT and fuzzy support vector machines. ( 0,672375468205997 )
Comput Biol Chem - CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. ( 0,672069204858924 )
Med Biol Eng Comput - Voiceless Arabic vowels recognition using facial EMG. ( 0,671881361202952 )
Artif Intell Med - Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. ( 0,67165762714054 )
J Med Syst - A new expert system for diagnosis of lung cancer: GDA-LS_SVM. ( 0,671216502705751 )
Artif Intell Med - Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach. ( 0,670989808646743 )
Comput Math Methods Med - Principal feature analysis: a multivariate feature selection method for fMRI data. ( 0,668881950772125 )
Comput Math Methods Med - Comparison of different EHG feature selection methods for the detection of preterm labor. ( 0,6675716236244 )
Artif Intell Med - Texture feature ranking with relevance learning to classify interstitial lung disease patterns. ( 0,667342591918334 )
Comput Methods Programs Biomed - An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. ( 0,667157549231517 )
IEEE J Biomed Health Inform - Automatic detection of atrial fibrillation in cardiac vibration signals. ( 0,665268418089382 )
Artif Intell Med - Selective voting in convex-hull ensembles improves classification accuracy. ( 0,665030380348681 )
J Med Syst - A new QRS detection method using wavelets and artificial neural networks. ( 0,663849552112696 )
J Biomed Inform - A fast gene selection method for multi-cancer classification using multiple support vector data description. ( 0,662547307697988 )
J Med Syst - Down syndrome diagnosis based on Gabor Wavelet Transform. ( 0,661573761946342 )
Med Biol Eng Comput - Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features. ( 0,661344804070668 )
Med Biol Eng Comput - Application of recurrence quantification analysis to automatically estimate infant sleep states using a single channel of respiratory data. ( 0,661219678491035 )
Int J Neural Syst - Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification. ( 0,660189644288821 )
Comput Math Methods Med - Feature selection in classification of eye movements using electrooculography for activity recognition. ( 0,65920935117589 )