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https://www.readbyqxmd.com/read/28227965/multiscale-brain-machine-interface-decoders
#1
Han-Lin Hsieh, Maryam M Shanechi, Han-Lin Hsieh, Maryam M Shanechi, Han-Lin Hsieh, Maryam M Shanechi
Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, e.g., spikes or electrocorticography (ECoG), as their control signal. New technology allows for simultaneous recording of multiple scales of neural activity, from spikes to local field potentials (LFP) and ECoG. These advances introduce the new challenge of modeling and decoding multiple scales of neural activity jointly. Such multi-scale decoding is challenging for two reasons. First, spikes are discrete-valued and ECoG/LFP are continuous-valued, resulting in fundamental differences in statistical characteristics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227944/classification-of-squat-quality-with-inertial-measurement-units-in-the-single-leg-squat-mobility-test
#2
Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic, Alex Lee, Sachin Raina, Dana Kulic, Rezvan Kianifar
Many assessment and diagnosis protocols in rehabilitation, orthopedic surgery and sports medicine rely on mobility tests like the Single Leg Squat (SLS). In this study, a set of three Inertial Measurement Units (IMUs) were used to estimate the joint pose during SLS and to classify the SLS as poor, moderate or good. An Extended Kalman Filter pose estimation method was used to estimate kinematic joint variables, and time domain features were generated based on these variables. The most important features were then selected and used to train Support Vector Machine (SVM), Linear Multinomial Logistic Regression, and Decision Tree classifiers...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227851/design-and-validation-of-a-high-order-weighted-frequency-fourier-linear-combiner-based-kalman-filter-for-parkinsonian-tremor-estimation
#3
Y Zhou, M E Jenkins, M D Naish, A L Trejos, Y Zhou, M E Jenkins, M D Naish, A L Trejos, M E Jenkins, M D Naish, Y Zhou, A L Trejos
The design of a tremor estimator is an important part of designing mechanical tremor suppression orthoses. A number of tremor estimators have been developed and applied with the assumption that tremor is a mono-frequency signal. However, recent experimental studies have shown that Parkinsonian tremor consists of multiple frequencies, and that the second and third harmonics make a large contribution to the tremor. Thus, the current estimators may have limited performance on estimation of the tremor harmonics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227850/a-kalman-filter-to-estimate-altitude-change-during-a-fall
#4
Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Changhong Wang, Wei Lu, Stephen J Redmond, Nigel H Lovell, Michael C Stevens
Barometers have been incorporated into fall detectors in order to enhance the accuracy of fall detection algorithms, however they are power-hungry devices. We present an offline evaluation of a Kalman filter (KF) for estimating the pressure change during a fall that enables low-power operation of the barometer. The KF takes advantage of the fact that a semi-permeable air membrane on a waterproof fall detector enclosure causes a delay in the equilibrium between internal and external enclosure pressure, and this delay enables the barometer to be switched off until a free-fall is detected...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227828/pose-measurement-of-anterior-pelvic-plane-based-on-inertial-measurement-unit-in-total-hip-replacement-surgeries
#5
Zhe Cao, Shaojie Su, Hong Chen, Hao Tang, Yixin Zhou, Zhihua Wang, Zhe Cao, Shaojie Su, Hong Chen, Hao Tang, Yixin Zhou, Zhihua Wang, Zhe Cao, Yixin Zhou, Hong Chen, Zhihua Wang, Hao Tang, Shaojie Su
In Total Hip Replacement (THR), inaccurate measurement of Anterior Pelvic Plane (APP), which is usually used as a reference plane, will lead to malposition of the acetabular prosthesis. As a result, the risk of impingement, dislocation and wear will increase and the safe range of motion will be limited. In order to acquire the accurate pose of APP, a measurement system is designed in this paper, which includes two parts: one is used to estimate the initial pose of APP and the other is used to trail dynamic motion of APP...
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
#6
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/28227271/comparison-of-three-nonlinear-filters-for-fault-detection-in-continuous-glucose-monitors
#7
Zeinab Mahmoudi, Sabrina Lyngbye Wendt, Dimitri Boiroux, Morten Hagdrup, Kirsten Norgaard, Niels Kjolstad Poulsen, Henrik Madsen, John Bagterp Jorgensen, Zeinab Mahmoudi, Sabrina Lyngbye Wendt, Dimitri Boiroux, Morten Hagdrup, Kirsten Norgaard, Niels Kjolstad Poulsen, Henrik Madsen, John Bagterp Jorgensen, Dimitri Boiroux, Morten Hagdrup, Kirsten Norgaard, Henrik Madsen, Zeinab Mahmoudi
The purpose of this study is to compare the performance of three nonlinear filters in online drift detection of continuous glucose monitors. The nonlinear filters are the extended Kalman filter (EKF), the unscented Kalman filter (UKF), and the particle filter (PF). They are all based on a nonlinear model of the glucose-insulin dynamics in people with type 1 diabetes. Drift is modelled by a Gaussian random walk and is detected based on the statistical tests of the 90-min prediction residuals of the filters. The unscented Kalman filter had the highest average F score of 85...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226802/unscented-kalman-filter-for-neural-decoding-of-human-treadmill-walking-from-non-invasive-electroencephalography
#8
Trieu Phat Luu, Yongtian He, Sho Nakagame, Jeffrey Gorges, Kevin Nathan, Jose L Contreras-Vidal, Trieu Phat Luu, Yongtian He, Sho Nakagame, Jeffrey Gorges, Kevin Nathan, Jose L Contreras-Vidal, Jose L Contreras-Vidal, Trieu Phat Luu, Jeffrey Gorges, Yongtian He, Sho Nakagame, Kevin Nathan
The feasibility of decoding lower limb kinematics in human treadmill walking from noninvasive electroencephalography (EEG) has been demonstrated with linear Wiener filter. However, nonlinear relationship between neural activities and limb movements may challenge the linear decoders in real-time brain computer interface (BCI) applications. In this study, we propose a nonlinear neural decoder using an Unscented Kalman Filter (UKF) to infer lower limb joint angles from noninvasive scalp EEG signals during human treadmill walking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226667/automatic-seizure-detection-using-correlation-integral-with-nonlinear-adaptive-denoising-and-kalman-filter
#9
Hongda Wang, Chiu-Sing Choy, Hongda Wang, Chiu-Sing Choy, Hongda Wang, Chiu-Sing Choy
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re-examined in this paper. To facilitate the detection performance and overcome the shortcoming of correlation integral, nonlinear adaptive denoising and Kalman filter have been adopted for pre-processing and post-processing. The three-stage algorithm has achieved 84.6% sensitivity and 0.087/h false detection rate, which are comparable to many machine learning based methods, but at much lower computational cost...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223914/decoding-lower-limb-muscle-activity-and-kinematics-from-cortical-neural-spike-trains-during-monkey-performing-stand-and-squat-movements
#10
Xuan Ma, Chaolin Ma, Jian Huang, Peng Zhang, Jiang Xu, Jiping He
Extensive literatures have shown approaches for decoding upper limb kinematics or muscle activity using multichannel cortical spike recordings toward brain machine interface (BMI) applications. However, similar topics regarding lower limb remain relatively scarce. We previously reported a system for training monkeys to perform visually guided stand and squat tasks. The current study, as a follow-up extension, investigates whether lower limb kinematics and muscle activity characterized by electromyography (EMG) signals during monkey performing stand/squat movements can be accurately decoded from neural spike trains in primary motor cortex (M1)...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28221837/environmental-occurrence-and-antibiotic-susceptibility-profile-of-listeria-monocytogenes-at-a-slaughterhouse-raw-processing-plant-in-romania
#11
Claudia Sala, Adriana Morar, Emil Tîrziu, Ileana Nichita, Mirela Imre, Kálmán Imre
This survey was conducted to investigate the occurrence and antimicrobial susceptibility of Listeria monocytogenes isolates in the environment of a pig slaughterhouse raw processing plant complex in western Romania. A total of 97 environmental samples from food contact (n = 60) and nonfood contact (n = 37) surfaces were examined with standard methods. The susceptibility of the isolates to 17 antimicrobial agents was determined with the VITEK 2 automated system. Overall, 25 (25.8%) samples were positive for L...
October 2016: Journal of Food Protection
https://www.readbyqxmd.com/read/28215568/reduction-in-radiation-dose-for-atrial-fibrillation-ablation-over-time-a-12-year-single-centre-experience-of-2-344-patients
#12
Aleksandr Voskoboinik, Elana S Kalman, Yonatan Savicky, Paul B Sparks, Joseph B Morton, Geoffrey Lee, Peter M Kistler, Jonathan M Kalman
BACKGROUND: Pulmonary vein isolation (PVI) is a well-established treatment for atrial fibrillation (AF), with contact force-sensing catheters joining 3D-mapping systems and image integration as technological advancements over the last decade. OBJECTIVE: To analyze trends in radiation exposure at our centre for AF ablation over the last 12 years. METHODS: We reviewed prospectively collected data of 2,344 consecutive PVI procedures for either paroxysmal or persistent AF between 1/2004 - 12/2015...
February 12, 2017: Heart Rhythm: the Official Journal of the Heart Rhythm Society
https://www.readbyqxmd.com/read/28215003/improved-electromagnetic-tracking-for-catheter-path-reconstruction-with-application-in-high-dose-rate-brachytherapy
#13
Elodie Lugez, Hossein Sadjadi, Chandra P Joshi, Selim G Akl, Gabor Fichtinger
PURPOSE: Electromagnetic (EM) catheter tracking has recently been introduced in order to enable prompt and uncomplicated reconstruction of catheter paths in various clinical interventions. However, EM tracking is prone to measurement errors which can compromise the outcome of the procedure. Minimizing catheter tracking errors is therefore paramount to improve the path reconstruction accuracy. METHODS: An extended Kalman filter (EKF) was employed to combine the nonlinear kinematic model of an EM sensor inside the catheter, with both its position and orientation measurements...
February 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28210991/extraction-of-fetal-ecg-signal-by-an-improved-method-using-extended-kalman-smoother-framework-from-single-channel-abdominal-ecg-signal
#14
D Panigrahy, P K Sahu
This paper proposes a five-stage based methodology to extract the fetal electrocardiogram (FECG) from the single channel abdominal ECG using differential evolution (DE) algorithm, extended Kalman smoother (EKS) and adaptive neuro fuzzy inference system (ANFIS) framework. The heart rate of the fetus can easily be detected after estimation of the fetal ECG signal. The abdominal ECG signal contains fetal ECG signal, maternal ECG component, and noise. To estimate the fetal ECG signal from the abdominal ECG signal, removal of the noise and the maternal ECG component presented in it is necessary...
February 16, 2017: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/28208766/improved-omnidirectional-odometry-for-a-view-based-mapping-approach
#15
David Valiente, Arturo Gil, Óscar Reinoso, Miguel Juliá, Mathew Holloway
This work presents an improved visual odometry using omnidirectional images. The main purpose is to generate a reliable prior input which enhances the SLAM (Simultaneous Localization and Mapping) estimation tasks within the framework of navigation in mobile robotics, in detriment of the internal odometry data. Generally, standard SLAM approaches extensively use data such as the main prior input to localize the robot. They also tend to consider sensory data acquired with GPSs, lasers or digital cameras, as the more commonly acknowledged to re-estimate the solution...
February 9, 2017: Sensors
https://www.readbyqxmd.com/read/28208673/reduced-drift-virtual-gyro-from-an-array-of-low-cost-gyros
#16
Richard J Vaccaro, Ahmed S Zaki
A Kalman filter approach for combining the outputs of an array of high-drift gyros to obtain a virtual lower-drift gyro has been known in the literature for more than a decade. The success of this approach depends on the correlations of the random drift components of the individual gyros. However, no method of estimating these correlations has appeared in the literature. This paper presents an algorithm for obtaining the statistical model for an array of gyros, including the cross-correlations of the individual random drift components...
February 11, 2017: Sensors
https://www.readbyqxmd.com/read/28208380/inferring-hidden-states-in-langevin-dynamics-on-large-networks-average-case-performance
#17
B Bravi, M Opper, P Sollich
We present average performance results for dynamical inference problems in large networks, where a set of nodes is hidden while the time trajectories of the others are observed. Examples of this scenario can occur in signal transduction and gene regulation networks. We focus on the linear stochastic dynamics of continuous variables interacting via random Gaussian couplings of generic symmetry. We analyze the inference error, given by the variance of the posterior distribution over hidden paths, in the thermodynamic limit and as a function of the system parameters and the ratio α between the number of hidden and observed nodes...
January 2017: Physical Review. E
https://www.readbyqxmd.com/read/28207271/synthesis-of-benzyl-allyl-and-allenyl-boronates-via-copper-catalyzed-borylation-of-alcohols
#18
Lujia Mao, Kálmán J Szabó, Todd B Marder
Alcohols are among the most abundant and readily available organic feedstocks in industrial processes. The direct catalytic functionalization of sp(3) C-O bonds of alcohols remains the main challenge in this field. Here, we report a copper-catalyzed synthesis of benzyl-, allyl-, and allenyl-boronates from benzylic, allylic, and propargylic alcohols, respectively. This protocol exhibits a broad reaction scope (40 examples) and high efficiency (up to 95% yield) under mild conditions, including for the preparation of secondary allylic boronates...
February 16, 2017: Organic Letters
https://www.readbyqxmd.com/read/28204434/isolation-of-the-posterior-left-atrium-for-patients-with-persistent-atrial-fibrillation-routine-adenosine-challenge-for-dormant-posterior-left-atrial-conduction-improves-long-term-outcome
#19
Alex J A McLellan, Sandeep Prabhu, Alex Voskoboinik, Michael C G Wong, Tomos E Walters, Bhupesh Pathik, Gwilym M Morris, Ashley Nisbet, Geoffrey Lee, Joseph B Morton, Jonathan M Kalman, Peter M Kistler
No abstract text is available yet for this article.
February 15, 2017: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
https://www.readbyqxmd.com/read/28204209/prolonging-hypothermic-ischaemic-cardiac-and-vascular-storage-by-inhibiting-the-activation-of-the-nuclear-enzyme-poly-adenosine-diphosphate-ribose-polymerase
#20
Sevil Korkmaz-Icöz, Tamás Radovits, Sivakkanan Loganathan, Shiliang Li, Mihály Ruppert, Kálmán Benke, Paige Brlecic, Csaba Szabó, Matthias Karck, Gábor Szabó
No abstract text is available yet for this article.
February 13, 2017: European Journal of Cardio-thoracic Surgery
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