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https://www.readbyqxmd.com/read/28227603/data-fusion-of-multiple-kinect-sensors-for-a-rehabilitation-system
#1
Huibin Du, Yiwen Zhao, Jianda Han, Zheng Wang, Guoli Song, Huibin Du, Yiwen Zhao, Jianda Han, Zheng Wang, Guoli Song, Guoli Song, Yiwen Zhao, Huibin Du, Jianda Han, Zheng Wang
Kinect-like depth sensors have been widely used in rehabilitation systems. However, single depth sensor processes limb-blocking, data loss or data error poorly, making it less reliable. This paper focus on using two Kinect sensors and data fusion method to solve these problems. First, two Kinect sensors capture the motion data of the healthy arm of the hemiplegic patient; Second, merge the data using the method of Set-Membership-Filter (SMF); Then, mirror this motion data by the Middle-Plane; In the end, control the wearable robotic arm driving the patient's paralytic arm so that the patient can interactively and initiatively complete a variety of recovery actions prompted by computer with 3D animation games...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227493/recommendations-for-antiarrhythmic-drugs-based-on-latent-semantic-analysis-with-fc-means-clustering
#2
Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Juyoung Park, Mingon Kang, Junbeom Hur, Kyungtae Kang, Mingon Kang, Junbeom Hur, Juyoung Park, Kyungtae Kang
In this paper, we propose a novel model for the appropriate recommendation of antiarrhythmic drugs by introducing a fusion of a latent semantic analysis and k-means clustering. Our model not only captures the latent factors between the types of arrhythmia and patients but also has the ability to search a group of patients with similar arrhythmias. The performance studies conducted against the MIT-BIH arrhythmia database show that clinicians accepted 66.67% of the drugs recommended from our model with a balanced f-score of 38...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227448/a-pulse-transit-time-based-fusion-method-for-the-noninvasive-and-continuous-monitoring-of-respiratory-rate
#3
Xiao-Rong Ding, Yuan-Ting Zhang, Hon Ki Tsang, Walter Karlen, Xiao-Rong Ding, Yuan-Ting Zhang, Hon Ki Tsang, Walter Karlen, Hon Ki Tsang, Walter Karlen, Yuan-Ting Zhang, Xiao-Rong Ding
The purpose of this study was to investigate whether pulse transit time (PTT) can be used for continuous monitoring of respiratory rate (RR). We derived PTT from the electrocardiogram and photoplethysmogram obtained from 42 recordings of CapnoBase, a publicly available benchmark data set for validating respiratory related measurements. The number of breaths in a minute (RR#) was estimated from the heart rate interval (HRI), pulse rate interval (PRI), and from PTT. In addition, to improve the estimation reliability, we investigated a fusion of the three HRI, PRI and PTT derived estimations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227405/template-based-rodent-brain-extraction-and-atlas-mapping
#4
Weimin Huang, Jiaqi Zhang, Zhiping Lin, Su Huang, Yuping Duan, Zhongkang Lu, Weimin Huang, Jiaqi Zhang, Zhiping Lin, Su Huang, Yuping Duan, Zhongkang Lu, Jiaqi Zhang, Weimin Huang, Yuping Duan, Zhongkang Lu, Zhiping Lin, Su Huang
Accurate rodent brain extraction is the basic step for many translational studies using MR imaging. This paper presents a template based approach with multi-expert refinement to automatic rodent brain extraction. We first build the brain appearance model based on the learning exemplars. Together with the template matching, we encode the rodent brain position into the search space to reliably locate the rodent brain and estimate the rough segmentation. With the initial mask, a level-set segmentation and a mask-based template learning are implemented further to the brain region...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227404/evaluation-of-the-effect-of-doubling-atlases-using-midsagittal-plane-on-multi-atlas-based-segmentation-of-brain-structures
#5
Subrahmanyam Gorthi, Subrahmanyam Gorthi, Subrahmanyam Gorthi
Normal human brain exhibits approximately bi-fold symmetry with respect to its midsagittal plane (MSP). The objective of this work is to investigate the effect of doubling atlases (i.e., reference images) used in multi-atlas fusion methods by exploiting the inherent bilateral symmetry of human brain. To this end, we perform automated segmentation of 15 subcortical structures using Local Weighted Voting (LWV) fusion method with varying number of atlases. We consider three specific scenarios for atlases while performing fusion: (i) fusion with original OASIS atlases, (ii) with atlases obtained by flipping the original atlases based on their MSP, and (iii) with both original and flipped atlases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#6
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227342/robust-respiration-rate-estimation-using-adaptive-kalman-filtering-with-textile-ecg-sensor-and-accelerometer
#7
Nicholas N Lepine, Takuro Tajima, Takayuki Ogasawara, Ryoichi Kasahara, Hiroshi Koizumi, Nicholas N Lepine, Takuro Tajima, Takayuki Ogasawara, Ryoichi Kasahara, Hiroshi Koizumi, Hiroshi Koizumi, Takayuki Ogasawara, Takuro Tajima, Ryoichi Kasahara, Nicholas N Lepine
An adaptive Kalman filter-based fusion algorithm capable of estimating respiration rate for unobtrusive respiratory monitoring is proposed. Using both signal characteristics and a priori information, the Kalman filter is adaptively optimized to improve accuracy. Furthermore, the system is able to combine the respiration-related signals extracted from a textile ECG sensor and an accelerometer to create a single robust measurement. We measured derived respiratory rates and, when compared to a reference, found root-mean-square error of 2...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227311/two-microphones-spectral-coherence-based-speech-enhancement-for-hearing-aids-using-smartphone-as-an-assistive-device
#8
Chandan K A Reddy, Yiya Hao, Issa Panahi, Chandan K A Reddy, Yiya Hao, Issa Panahi, Issa Panahi, Chandan K A Reddy, Yiya Hao
In this paper, we present a new Speech Enhancement (SE) technique capable of running on a smartphone, as an assistive device for hearing aids (HAs). The developed method incorporates the coherence between the speech and noise signals to obtain a SE gain function which is used in conjunction with the gain function obtained by Spectral Subtraction using adaptive gain averaging. SE using coherence based gain function is found to suppress the background noise well, while inducing speech distortion. On the other hand, SE using Spectral Subtraction improves speech quality with tolerable speech distortion, but introduces background musical noise for certain noise types...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227237/fusion-of-inertial-and-magnetic-sensors-for-3d-position-and-orientation-estimation
#9
P Tadayon, T Felderhoff, A Knopp, G Staude, P Tadayon, T Felderhoff, A Knopp, G Staude, G Staude, P Tadayon, T Felderhoff, A Knopp
This paper presents a new method for 3D position and orientation estimation based on the magnetic field generated by a single coil and the fusion of low power magnetometers and inertial sensors. The fixed spatial relationship between the sensors is exploited to solve the ambiguity problem that occurs when only a single coil is employed. In this context a new positioning algorithm is developed and verified by simulations. Using a single coil instead of three coils as common in conventional magnetic field based systems brings a benefit both regarding power consumption and construction size...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227200/obstructive-sleep-apnea-severity-estimation-fusion-of-speech-based-systems
#10
D Ben Or, E Dafna, A Tarasiuk, Y Zigel, D Ben Or, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, E Dafna
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. Previous studies associated OSA with anatomical abnormalities of the upper respiratory tract that may be reflected in the acoustic characteristics of speech. We tested the hypothesis that the speech signal carries essential information that can assist in early assessment of OSA severity by estimating apnea-hypopnea index (AHI). 198 men referred to routine polysomnography (PSG) were recorded shortly prior to sleep onset while reading a one-minute speech protocol...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#11
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227042/advanced-inside-out-tracking-approach-for-real-time-combination-of-mri-and-us-images-in-the-radio-frequency-shielded-room-using-combination-markers
#12
Yeshaswini Nagaraj, Christian Benedicks, Philipp Matthies, Michael Friebe, Yeshaswini Nagaraj, Christian Benedicks, Philipp Matthies, Michael Friebe
For the real-time fusion of different modalities, a variety of tracking methods are available including the optical, electromagnetic (EM) and image-based tracking. But as a drawback optical tracking suffers from line of sight issues and EM tracking requires the manual referencing for the fusion procedure and is not usable in Magnetic Resonance Imaging (MRI) environment. To avoid these issues, we propose a real-time setup containing a camera capable of inside-Out tracking using combined circular markers attached to Ultrasound (US) probe and a suitable platform for automatic overlay of MRI and US image using markers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226971/personalized-sleep-staging-system-using-evolutionary-algorithm-and-symbolic-fusion
#13
Chen Chen, Adrien Ugon, Xun Zhang, Amara Amara, Patrick Garda, Jean-Gabriel Ganascia, Carole Philippe, Andrea Pinna, Chen Chen, Adrien Ugon, Xun Zhang, Amara Amara, Patrick Garda, Jean-Gabriel Ganascia, Carole Philippe, Andrea Pinna, Adrien Ugon, Carole Philippe, Patrick Garda, Amara Amara, Chen Chen, Andrea Pinna, Jean-Gabriel Ganascia, Xun Zhang
This paper presents a novel system for automatic sleep staging based on evolutionary technique and symbolic intelligence. Proposed system mimics decision making process of clinical sleep staging using Symbolic Fusion and considers personal singularity with an adaptive thresholds setting up system using Evolutionary Algorithm. It proved to be an effective and promising system in personalizing sleep staging. This system can also be integrated with other medical systems to realize remote sleep monitoring or home-care...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226777/predicting-schizophrenia-by-fusing-networks-from-snps-dna-methylation-and-fmri-data
#14
Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Vince D Calhoun, Su-Ping Deng, Yu-Ping Wang, Dongdong Lin
In order to comprehensively utilize complementary information from multiple types of data for better disease diagnosis, in this study, we applied a network fusion based approach to integrating three types of data including genetic, epigenetic and neuroimaging data from a study of schizophrenia patients (SCZ). A network is a map of interactions, which contributes to investigating the connectivity of components or links between sub-units. We exploited the potential of using networks as features for discriminating SCZ from healthy controls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226761/multisensor-data-fusion-for-enhanced-respiratory-rate-estimation-in-thermal-videos
#15
Carina B Pereira, Xinchi Yu, Vladimir Blazek, Boudewijn Venema, Steffen Leonhardt, Carina B Pereira, Xinchi Yu, Vladimir Blazek, Boudewijn Venema, Steffen Leonhardt, Xinchi Yu, Vladimir Blazek, Carina B Pereira, Boudewijn Venema, Steffen Leonhardt
Scientific studies have demonstrated that an atypical respiratory rate (RR) is frequently one of the earliest and major indicators of physiological distress. However, it is also described in the literature as "the neglected vital parameter", mainly due to shortcomings of clinical available monitoring techniques, which require attachment of sensors to the patient's body. The current paper introduces a novel approach that uses multisensor data fusion for an enhanced RR estimation in thermal videos. It considers not only the temperature variation around nostrils and mouth, but the upward and downward movement of both shoulders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226760/a-new-approach-of-oral-cancer-detection-using-bilateral-texture-features-in-digital-infrared-thermal-images
#16
M Chakraborty, S Mukhopadhyay, A Dasgupta, S Patsa, N Anjum, J G Ray, M Chakraborty, S Mukhopadhyay, A Dasgupta, S Patsa, N Anjum, J G Ray, S Patsa, A Dasgupta, N Anjum, M Chakraborty, S Mukhopadhyay, J G Ray
Oral cancer is one of the most prevalent form of cancer and its severity is aggrandized specially among the socio-economically backward population in developing countries. A major fraction of patient population is unable to avail diagnosis for oral cancer due to scarcity of state-of-the-art infrastructure and experienced oral and maxillofacial pathologist. Contemporary gold standard of oral cancer confirmation relies on biopsy report. But biopsy is invasive and thus patients are usually reluctant to undergo this test...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226751/deep-neural-ensemble-for-retinal-vessel-segmentation-in-fundus-images-towards-achieving-label-free-angiography
#17
A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas, Debdoot Sheet, Prabir Kumar Biswas, A Lahiri
Automated segmentation of retinal blood vessels in label-free fundus images entails a pivotal role in computed aided diagnosis of ophthalmic pathologies, viz., diabetic retinopathy, hypertensive disorders and cardiovascular diseases. The challenge remains active in medical image analysis research due to varied distribution of blood vessels, which manifest variations in their dimensions of physical appearance against a noisy background. In this paper we formulate the segmentation challenge as a classification task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226717/how-well-can-the-fusion-of-gabor-filters-and-local-binary-patterns-help-in-identifying-gastric-lesions
#18
Farhan Riaz, Ali Hassan, Pedro Pimentel-Nunes, Diogo Libnio E Jorge Lage, Miguel Tavares Coimbra, Farhan Riaz, Ali Hassan, Pedro Pimentel-Nunes, Diogo Libnio E Jorge Lage, Miguel Tavares Coimbra, Farhan Riaz, Pedro Pimentel-Nunes, Miguel Tavares Coimbra, Diogo Libnio E Jorge Lage, Ali Hassan
Gastroenterology imaging is a diagnostic procedure that incorporates various computer vision challenges for the design of assisted diagnostic systems. The most typical challenge is the design of more adequate visual descriptors that can assist the classification algorithms in getting good diagnostic results. Literature shows that most of the texture descriptors for feature extraction from gastric lesions are based on Gabor filters or local binary patterns (LBP). Although good results are obtained, these techniques have their shortcomings...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226689/patient-movement-compensation-for-3d-echocardiography-fusion
#19
Abhilash R Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Allen He, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar, Michelle Hanbidge, Abhilash R Hareendranathan
Limited field of view (FOV) is a major problem for 3D real-time echocardiography (3DRTE), which results in an incomplete representation of cardiac anatomy. Various image registration techniques have been proposed to improve the field of view in 3DRTE by fusing multiple image volumes. However, these techniques require significant overlap between the individual volumes and rely on high image resolution and high signal-to-noise ratio. Changes in the heart position due to patient movement during image acquisition can also reduce the quality of image fusion...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226686/multiview-echocardiography-fusion-using-an-electromagnetic-tracking-system
#20
Kumaradevan Punithakumar, Abhilash R Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher, Harald Becher, Nehan Khan, Riitta Paakkanen, Michelle Noga, Kumaradevan Punithakumar, Abhilash R Hareendranathan, Pierre Boulanger
Three-dimensional ultrasound is an emerging modality for the assessment of complex cardiac anatomy and function. The advantages of this modality include lack of ionizing radiation, portability, low cost, and high temporal resolution. Major limitations include limited field-of-view, reliance on frequently limited acoustic windows, and poor signal to noise ratio. This study proposes a novel approach to combine multiple views into a single image using an electromagnetic tracking system in order to improve the field-of-view...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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