keyword
MENU ▼
Read by QxMD icon Read
search

LDA

keyword
https://www.readbyqxmd.com/read/28237920/separability-oriented-subclass-discriminant-analysis
#1
Huan Wan, Hui Wang, Gongde Guo, Xin Wei
Linear discriminant analysis (LDA) is a classical method for discriminative dimensionality reduction. The original LDA may degrade in its performance for non-Gaussian data, and may be unable to extract sufficient features to satisfactorily explain the data when the number of classes is small. Two prominent extensions to address these problems are subclass discriminant analysis (SDA) and mixture subclass discriminant analysis (MSDA). They divide every class into subclasses and re-define the within-class and between-class scatter matrices on the basis of subclass...
February 22, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28227976/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#2
Richard B Woodward, John A Spanias, Levi J Hargrove, Richard B Woodward, John A Spanias, Levi J Hargrove, John A Spanias, Richard B Woodward, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227968/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#3
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor, Luke E Osborn, Christopher L Hunt, Nitish V Thakor, Rahul R Kaliki, Joseph L Betthauser
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227926/a-fast-approximation-method-for-principal-component-analysis-applied-to-ecg-derived-respiration-for-osa-detection
#4
Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal, Nadi Sadr, Philip de Chazal
In this paper, we present an approximation method for principal component analysis (PCA) and apply it to estimating the respiration from the overnight ECG signal. The approximation method is computationally fast with low memory requirements. We compare it to a full PCA method which is applied to segments of the ECG. Features were calculated from the two ECG derived respiration signals (EDR) and classifiers trained to detect obstructive sleep apnoea (OSA). The Extreme Learning Machine and Linear Discriminant classifier were used to classify the recordings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227698/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#5
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Michael Breakspear, Ahmed Al-Ani, Tjeerd W Boonstra, Colleen K Loo
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227617/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#6
Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov, Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227543/fmg-based-body-motion-registration-using-piezoelectret-sensors
#7
Xiangxin Li, Qifang Zhuo, Xu Zhang, Oluwarotimi Williams Samuel, Zeyang Xia, Xiaoqing Zhang, Peng Fang, Guanglin Li, Xiangxin Li, Qifang Zhuo, Xu Zhang, Oluwarotimi Williams Samuel, Zeyang Xia, Xiaoqing Zhang, Peng Fang, Guanglin Li, Xu Zhang, Guanglin Li, Zeyang Xia, Peng Fang, Qifang Zhuo, Oluwarotimi Williams Samuel, Xiaoqing Zhang, Xiangxin Li
Body motion registration can provide plenty of muscle activity information of human beings, which is applicable in the control of human-computer interfaces or real devices. Forcemyography (FMG) is a method to register real-time body motions by measuring the radially directed force distributions that are generated by muscle contractions. In this work, we recorded FMG maps by using a novel type of sensor, the polymer-based piezoelectrets. With five piezoelectret sensor units attached on the surface of thigh muscles, four basic lower-limb motions, leg-raising, leg-dropping, knee-extension, and knee-flexion, were properly captured on four able-bodied subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227530/linear-discriminant-analysis-for-symmetric-lifting-recognition-of-skilled-logistic-experts-by-center-of-pressure-trajectory
#8
Hieyong Jeong, Michiko Kido, Yuko Ohno, Hieyong Jeong, Michiko Kido, Yuko Ohno, Michiko Kido, Hieyong Jeong, Yuko Ohno
GOAL: The main purpose of the present study was to propose a recognizing method to analyze characteristics of symmetric lifting of skilled logistic experts by center of pressure (CoP) trajectories. Although it has been known that good posture helps reduce the intradiscal loads on lumbar discs, the most significant problem was that most of logistic workers did not know whether the current posture was proper or not. METHODS: The experiment of lifting was performed three times under 18 kg loads with closed eyes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227457/evaluation-of-periodic-breathing-in-respiratory-flow-signal-of-elderly-patients-using-svm-and-linear-discriminant-analysis
#9
Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Sara Argerich, Sergio Herrera, Salvador Benito, Beatriz F Giraldo, Beatriz F Giraldo, Salvador Benito, Sara Argerich, Sergio Herrera
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The periodic modulation of the amplitude of the breathing pattern is proved to be one of the multiple symptoms of an acute episode, and thus, the features extracted from its characterization contribute in the improvement of the first diagnosis of the clinical practice...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227394/principal-component-analysis-of-the-shape-deformations-of-the-hippocampus-in-alzheimer-s-disease
#10
Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu
In this paper, we present the principal component analysis (PCA) of shape deformations of bilateral hippocampi in Alzheimer's disease (AD) as derived in the large deformation diffeomorphic metric mapping setting. We investigated the PCA patterns (the scores and loadings) of the bilateral hippocampi for 51 subjects, 28 of which had AD while 23 were normal aging. Student's t-tests were used to select the components displaying significant group difference for a more purposed analysis. Our findings revealed that the head part of the hippocampus in each hemisphere, to be specific the CA1 and subiculum subregions, contributed the most to the significant group differences...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227350/a-new-method-for-recognizing-hand-configurations-of-brazilian-gesture-language
#11
C F F Costa Filho, B L Dos Santos, R S de Souza, J R Dos Santos, M G F Costa, C F F Costa Filho, B L Dos Santos, R S de Souza, J R Dos Santos, M G F Costa, J R Dos Santos, M G F Costa, R S de Souza, C F F Costa Filho, B L Dos Santos
This paper describes a new method for recognizing hand configurations of the Brazilian Gesture Language - LIBRAS - using depth maps obtained with a Kinect® camera. The proposed method comprised three phases: hand segmentation, feature extraction, and classification. The segmentation phase is independent from the background and depends only on pixel depth information. Using geometric operations and numerical normalization, the feature extraction process was done independent from rotation and translation. The features are extracted employing two techniques: (2D)(2)LDA and (2D)(2)PCA...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226805/detecting-voluntary-gait-intention-of-chronic-stroke-patients-towards-top-down-gait-rehabilitation-using-eeg
#12
Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim, Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim, Seung-Jong Kim, Yeonghun Kim, Jong Min Lee, Hyungmin Kim, Junhyuk Choi, Sang Hun Chung, Hyolim Kang, Min Ho Chun, Ung Hee Lee
One of the recent trends in gait rehabilitation is to incorporate bio-signals, such as electromyography (EMG) or electroencephalography (EEG), for facilitating neuroplasticity, i.e. top-down approach. In this study, we investigated decoding stroke patients' gait intention through a wireless EEG system. To overcome patient-specific EEG patterns due to impaired cerebral cortices, common spatial patterns (CSP) was employed. We demonstrated that CSP filter can be used to maximize the EEG signal variance-ratio of gait and standing conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226669/seizure-detection-using-dynamic-warping-for-patients-with-intellectual-disability
#13
Lei Wang, Johan B A M Arends, Xi Long, Yan Wu, Pierre J M Cluitmans, Lei Wang, Johan B A M Arends, Xi Long, Yan Wu, Pierre J M Cluitmans, Yan Wu, Johan B A M Arends, Lei Wang, Pierre J M Cluitmans, Xi Long
Electroencephalography (EEG) is paramount for both retrospective analysis and real-time monitoring of epileptic seizures. Studies have shown that EEG-based seizure detection is very difficult for a specific epileptic population with intellectual disability due to the cerebral development disorders. In this work, a seizure detection method based on dynamic warping (DW) is proposed for patients with intellectual disability. It uses an EEG template of an individual subject's dominant seizure type, to extract the morphological features from EEG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28219726/diagnostic-value-of-sleep-stage-dissociation-as-visualized-on-a-2-dimensional-sleep-state-space-in-human-narcolepsy
#14
Anders Vinther Olsen, Jens Stephansen, Eileen Leary, Paul E Peppard, Hong Sheungshul, Poul Jenum, Helge Sorensen, Emmanuel Mignot
BACKGROUND: Type 1 narcolepsy (NT1) is characterized by symptoms believed to represent Rapid Eye Movement (REM) sleep stage dissociations, occurrences where features of wake and REM sleep are intermingled, resulting in a mixed state. We hypothesized that sleep stage dissociations can be objectively detected through the analysis of nocturnal Polysomnography (PSG) data, and that those affecting REM sleep can be used as a diagnostic feature for narcolepsy. NEW METHOD: A Linear Discriminant Analysis (LDA) model using 38 features extracted from EOG, EMG and EEG was used in control subjects to select features differentiating wake, stage N1, N2, N3 and REM sleep...
February 17, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28218832/a-non-invasive-strategy-based-on-real-time-in-vivo-cataluminescence-monitoring-for-clinical-breath-analysis
#15
Runkun Zhang, Wanting Huang, Gongke Li, Yufei Hu
The development of non-invasive methods for real-time in vivo analysis is of great significant, which provides powerful tools for medical research and clinical diagnosis. In the present work, we described a new strategy based on cataluminescence (CTL) for real-time in vivo clinical breath analysis. To illustrate such strategy, a homemade real-time CTL monitoring system characterized by coupling an on-line sampling device with a CTL sensor for sevoflurane (SVF) was designed, and a real-time in vivo method for the monitoring of SVF in exhaled breath was proposed...
February 20, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28210739/retinal-oxidative-stress-at-the-onset-of-diabetes-determined-by-synchrotron-ftir-widefield-imaging-towards-diabetes-pathogenesis
#16
Ebrahim Aboualizadeh, Mahsa Ranji, Christine M Sorenson, Reyhaneh Sepehr, Nader Sheibani, Carol J Hirschmugl
Diabetic retinopathy is a microvascular complication of diabetes that can lead to blindness. In the present study, we aimed to determine the nature of diabetes-induced, highly localized biochemical changes in the neuroretina at the onset of diabetes. High-resolution synchrotron Fourier transform infrared (s-FTIR) wide field microscopy coupled with multivariate analysis (PCA-LDA) was employed to identify biomarkers of diabetic retinopathy with spatial resolution at the cellular level. We compared the retinal tissue prepared from 6-week-old Ins2(Akita/+) heterozygous (Akita/+, N = 6; a model of diabetes) male mice with the wild-type (control, N = 6) mice...
February 17, 2017: Analyst
https://www.readbyqxmd.com/read/28203039/quality-assurance-using-outlier-detection-on-an-automatic-segmentation-method-for-the-cerebellar-peduncles
#17
Ke Li, Chuyang Ye, Zhen Yang, Aaron Carass, Sarah H Ying, Jerry L Prince
Cerebellar peduncles (CPs) are white matter tracts connecting the cerebellum to other brain regions. Automatic segmentation methods of the CPs have been proposed for studying their structure and function. Usually the performance of these methods is evaluated by comparing segmentation results with manual delineations (ground truth). However, when a segmentation method is run on new data (for which no ground truth exists) it is highly desirable to efficiently detect and assess algorithm failures so that these cases can be excluded from scientific analysis...
February 27, 2016: Proceedings of SPIE
https://www.readbyqxmd.com/read/28198540/subadult-sex-estimation-from-diaphyseal-dimensions
#18
Kyra E Stull, Ericka N L'Abbé, Stephen D Ousley
OBJECTIVES: Many studies on subadult sex estimation focus on elements that express sexually dimorphic features in adults. In contrast, diaphyseal dimensions have been shown to display sex-specific differences prior to adolescence. The current study evaluates the use of diaphyseal dimensions in subadult sex estimation. MATERIALS AND METHODS: Eighteen postcranial measurements from six long bones were collected on Lodox Statscan radiographic images of 1,310 modern South African children between birth and 12 years of age...
February 15, 2017: American Journal of Physical Anthropology
https://www.readbyqxmd.com/read/28198354/noise-robust-unsupervised-spike-sorting-based-on-discriminative-subspace-learning-with-outlier-handling
#19
Mohammad Reza Keshtkaran, Zhi Yang
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a projection subspace which is not necessarily the most discriminative one. Therefore, the clusters which appear inherently separable in some discriminative subspace may overlap if projected using conventional feature extraction approaches leading to a poor sorting accuracy especially when the noise level is high...
February 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28196702/structure-activity-relationship-studies-of-1-1-hydroxyalkyl-rupestonic-acid-methyl-esters-against-influenza-viruses
#20
Gen Li, Jiang-Yu Zhao, Chao Niu, Li-Fei Nie, Chang-Zhi Dong, Haji Akber Aisa
A series of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters were synthesized via the condensation of methyl rupestonate with various aldehydes in the presence of LDA. This mixed aldol reaction was highly stereoselective and all the new compounds were elucidated by detailed NMR and MS analyses. The absolute configurations of the newly formed stereocenters were further confirmed by X-ray crystallographic analysis of 3d, the results of which were found to be opposite to the prediction based on Zimmerman-Traxler's and Houk's models...
June 6, 2016: Bioorganic & Medicinal Chemistry Letters
keyword
keyword
86505
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"