[PDF] Top 20 Classification of uterine EMG signals using supervised classification method
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Classification of uterine EMG signals using supervised classification method
... this classification such as the use of fetal fibronectin and tocodynamometer (TOCO), all have a limited range of usefulness in this re- gard ...effective method of classification ... See full document
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Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals
... the classification performance varied from one channel to ...the uterine electrical activity are influenced by the position of the recording electrode: on the one hand, the distance between the recording ... See full document
9
Classification of non stationary signals using multiscale decomposition
... the classification of non stationary sig- ...classify uterine electromyogram (EMG) events to prevent the onset of preterm ...Our method is based on the Wavelet Packet (WP) decomposition and ... See full document
7
Automatic Assessment of Medication States of Patients with Parkinson’s Disease using Wearable Sensors
... Multiple supervised classification methods are used: linear discriminant (threshold- based) [24,27–29], Support Vector Machine (SVM) [17,30]), Artificial Neural Network (ANN) [32], logistic regression [9], ... See full document
101
Classification of Fractal features of Uterine EMG Signal for the Prediction of Preterm Birth
... of uterine electrical signals collected from abdominal surface can predict the onset of preterm ...of uterine EMG signal with DFA of accuracy ... See full document
6
Tongue interface based on surface EMG signals of suprahyoid muscles
... on classification of tongue motions from the surface electromyography (EMG) signals of the suprahyoid muscles detected at the underside of the ...The EMG signals are measured via 22 ... See full document
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AN IMPROVED METHOD TO DETECT COMMON MUSCULAR DISORDERS FROM EMG SIGNALS USING ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC
... lengthy EMG records to arrive at appropriate ...of EMG. Thus automated analysis of EMG signals are important for the detection of different muscular ...and classification of EMG ... See full document
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Classification of EMG using Lyapunov and Hurst Exponent
... EMG classification is one of the most difficult pattern recognition problems because there usually exists small but numerous variations in EMG features, which leads to difficulty in analyzing ... See full document
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Classification of Normal and Myopathy EMG Signals using BP Neural Network
... This EMG signals are used in medical professionals to determine specific ...electromyography signals (NOR & MYO). In this paper, new method for classification of myopathy patient’s ... See full document
5
Sleep scoring system and its classification by using EMG signals – A review
... EMG signals are extensively utilized in applications such as controlling dynamic prosthesis, wheelchairs, exoskeleton robots, restoration, quiet discourse acknowledgment, and controlling computer games as ... See full document
5
Classification of EMG Signals using Empirical Mode Decomposition
... As it can be seen in Tables 3 and 4, the proposed scheme outperforms the compared methods. Using paired T-test analyses, this was found that this improvement is statistically significant (P<0.05). Hence, these ... See full document
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A Modular Approach to Finer Classification of EMG Signals
... lengthy EMG records to arrive at appropriate ...of EMG. Thus automated analysis of EMG signals plays an important role for detecting different muscular ...for classification of ... See full document
8
Classification of EMG Signals for Assessment of Neuromuscular Disorders
... surface EMG signals for clinical diagnosis by various research group have produced not good results and hence generally looked with suspicion or have been ...out method for classification is ... See full document
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Evaluating the Extraction Approaches of Flood Extended Area by Using ALOS 2/PALSAR 2 Images as a Rapid Response to Flood Disaster
... backscattering method displayed the flooding as one unit ...and supervised method, especially in the top of the study ...When using unsupervised and supervised classification, ... See full document
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Title: Improved Optimized Sentiment Classification On Dynamic Tweets
... The social relationships could be used to improve user-level sentiment analysis. Their approach was based on that the users who connected with each other might be more likely to hold similar opinions. However, our work ... See full document
12
A Review on Semi Supervised Text Classification
... a Method for “Combining labeled and unlabeled data for text classification with a large number of categories ...text classification systems that are both computationally efficient and need very few ... See full document
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Twitter Sentiment Classification Using Supervised Lazy Learning Method
... evaluated using Bag of words and k-NN ...This method works well on large dataset and with a much faster computation time, and hence provides the better ...This method can be further extended ... See full document
6
Flower Grain Image Classification Using Supervised Classification Algorithm
... of classification is checked using color feature and texture features standalone and also with combined ...of using single features combined features gives better ... See full document
6
A Comprehensive and Experimental Survey on Medical Data Classification and Pattern Recognition R. Subathra Devi
... data classification and pattern recognition ...data classification methods majorly divided into three categories such as supervised, classification and also semi-supervised ...data ... See full document
17
Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM
... In this paper, we have developed an automated segmentation of blood vessel in retinal image system. The medical decision making system was designed with the Texture features and fuzzy logic based Support Vector Machine. ... See full document
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