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Noise Cancellation

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https://www.readbyqxmd.com/read/29457225/aperture-generation-based-on-threshold-segmentation-for-intensity-modulated-radiotherapy-treatment-planning
#1
Jie Yang, Zhiguo Gui, Liyuan Zhang, Pengcheng Zhang
PURPOSE: To reduce computation and decrease planning time with little or no loss in plan quality compared to the column-generation-based (cg) method, a simple method of aperture generation based on threshold segmentation (agts) is proposed. METHODS: The proposed agts strategy consists of two steps. First, a fuzzy controller is used for noise cancellation; then, new apertures are added using the threshold segmentation algorithm. We tested the proposed method on seven prostate tumor cases using the computational environment for radiotherapy research algorithms for the dose calculations and compared the results with those obtained by generating the plan aperture using the cg method...
February 19, 2018: Medical Physics
https://www.readbyqxmd.com/read/29427379/phase-correcting-non-local-means-filtering-for-diffusion-weighted-imaging-of-the-spinal-cord
#2
Sevgi Gokce Kafali, Tolga Çukur, Emine Ulku Saritas
PURPOSE: DWI suffers from low SNR when compared to anatomical MRI. To maintain reasonable SNR at relatively high spatial resolution, multiple acquisitions must be averaged. However, subject motion or involuntary physiological motion during diffusion-sensitizing gradients cause phase offsets among acquisitions. When the motion is localized to a small region, these phase offsets become particularly problematic. Complex averaging of acquisitions lead to cancellations from these phase offsets, whereas magnitude averaging results in noise amplification...
February 9, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29424693/improved-contrast-enhanced-ultrasound-imaging-with-multiplane-wave-imaging
#3
Ping Gong, Pengfei Song, Shigao Chen
Contrast-enhanced ultrasound (CEUS) imaging has great potential for use in new ultrasound clinical applications such as myocardial perfusion imaging and abdominal lesion characterization. In CEUS imaging, contrast agents (i.e., microbubbles) are used to improve contrast between blood and tissue because of their high nonlinearity under low ultrasound pressure. However, the quality of CEUS imaging sometimes suffers from a low signal-to-noise ratio (SNR) in deeper imaging regions when a low mechanical index (MI) is used to avoid microbubble disruption, especially for imaging at off-resonance transmit frequencies...
February 2018: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
https://www.readbyqxmd.com/read/29383882/probability-theory-plus-noise-descriptive-estimation-and-inferential-judgment
#4
Fintan Costello, Paul Watts
We describe a computational model of two central aspects of people's probabilistic reasoning: descriptive probability estimation and inferential probability judgment. This model assumes that people's reasoning follows standard frequentist probability theory, but it is subject to random noise. This random noise has a regressive effect in descriptive probability estimation, moving probability estimates away from normative probabilities and toward the center of the probability scale. This random noise has an anti-regressive effect in inferential judgement, however...
January 2018: Topics in Cognitive Science
https://www.readbyqxmd.com/read/29382100/joint-interference-alignment-and-power-allocation-for-k-user-multicell-mimo-channel-through-staggered-antenna-switching
#5
Poongundran Selvaprabhu, Sunil Chinnadurai, Md Abdul Latif Sarker, Moon Ho Lee
In this paper, we characterise the joint interference alignment (IA) and power allocation strategies for a K-user multicell multiple-input multiple-output (MIMO) Gaussian interference channel. We consider a MIMO interference channel with blind-IA through staggered antenna switching on the receiver. We explore the power allocation and feasibility condition for cooperative cell-edge (CE) mobile users (MUs) by assuming that the channel state information is unknown. The new insight behind the transmission strategy of the proposed scheme is premeditated (randomly generated transmission strategy) and partial cooperative CE MUs, where the transmitter is equipped with a conventional antenna, the receiver is equipped with a reconfigurable multimode antenna (staggered antenna switching pattern), and the receiver switches between preset T modes...
January 28, 2018: Sensors
https://www.readbyqxmd.com/read/29377797/an-embedded-eight-channel-noise-canceling-wireless-wearable-semg-data-acquisition-system-with-adaptive-muscle-contraction-detection
#6
Mert Ergeneci, Kaan Gokcesu, Erhan Ertan, Panagiotis Kosmas
Wearable technology has gained increasing popularity in the applications of healthcare, sports science, and biomedical engineering in recent years. Because of its convenient nature, the wearable technology is particularly useful in the acquisition of the physiological signals. Specifically, the (surface electromyography) sEMG systems, which measure the muscle activation potentials, greatly benefit from this technology in both clinical and industrial applications. However, the current wearable sEMG systems have several drawbacks including inefficient noise cancellation, insufficient measurement quality, and difficult integration to customized applications...
February 2018: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/29370217/does-ambient-noise-or-hypobaric-atmosphere-influence-olfactory-and-gustatory-function
#7
Torsten Rahne, Robert Köppke, Michael Nehring, Stefan K Plontke, Hans-Georg Fischer
Multidimensional food perception is based mainly on gustatory and olfactory function. Recent research has demonstrated that hypobaric pressure impairs gustatory function and that background noise or distracting auditory stimulation impairs olfactory function. Using a hypobaric chamber, the odor identification, discrimination, and thresholds as well as taste identification and threshold scores were measured in 16 healthy male volunteers under normal and hypobaric (6380 ft) conditions using clinically validated tests...
2018: PloS One
https://www.readbyqxmd.com/read/29338577/modeling-sluggishness-in-binaural-unmasking-of-speech-for-maskers-with-time-varying-interaural-phase-differences
#8
Christopher F Hauth, Thomas Brand
In studies investigating binaural processing in human listeners, relatively long and task-dependent time constants of a binaural window ranging from 10 ms to 250 ms have been observed. Such time constants are often thought to reflect "binaural sluggishness." In this study, the effect of binaural sluggishness on binaural unmasking of speech in stationary speech-shaped noise is investigated in 10 listeners with normal hearing. In order to design a masking signal with temporally varying binaural cues, the interaural phase difference of the noise was modulated sinusoidally with frequencies ranging from 0...
January 2018: Trends in Hearing
https://www.readbyqxmd.com/read/29288873/necessary-and-sufficient-conditions-of-proper-estimators-based-on-self-density-ratio-for-unnormalized-statistical-models
#9
Kazuyuki Hiraoka, Toshihiko Hamada, Gen Hori
The largest family of density-ratio based estimators is obtained for unnormalized statistical models under the assumption of properness. They do not require normalization of the probability density function (PDF) because they are based on the density ratio of the same PDF at different points; therefore, the multiplicative normalization constant cancels out. In contrast with most existing work, a single necessary and sufficient condition is given here, rather than merely sufficient conditions for proper criteria for estimation...
December 11, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29223565/compressively-sampled-mr-image-reconstruction-using-generalized-thresholding-iterative-algorithm
#10
Sana Elahi, Muhammad Kaleem, Hammad Omer
Compressed sensing (CS) is an emerging area of interest in Magnetic Resonance Imaging (MRI). CS is used for the reconstruction of the images from a very limited number of samples in k-space. This significantly reduces the MRI data acquisition time. One important requirement for signal recovery in CS is the use of an appropriate non-linear reconstruction algorithm. It is a challenging task to choose a reconstruction algorithm that would accurately reconstruct the MR images from the under-sampled k-space data...
November 21, 2017: Journal of Magnetic Resonance
https://www.readbyqxmd.com/read/29222728/fetal-electrocardiogram-extraction-and-analysis-using-adaptive-noise-cancellation-and-wavelet-transformation-techniques
#11
P Sutha, V E Jayanthi
Birth defect-related demise is mainly due to congenital heart defects. In the earlier stage of pregnancy, fetus problem can be identified by finding information about the fetus to avoid stillbirths. The gold standard used to monitor the health status of the fetus is by Cardiotachography(CTG), cannot be used for long durations and continuous monitoring. There is a need for continuous and long duration monitoring of fetal ECG signals to study the progressive health status of the fetus using portable devices. The non-invasive method of electrocardiogram recording is one of the best method used to diagnose fetal cardiac problem rather than the invasive methods...
December 8, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29220640/invariants-in-probabilistic-reasoning
#12
Fintan Costello, Paul Watts
Recent research has identified three invariants or identities that appear to hold in people's probabilistic reasoning: the QQ identity, the addition law identity, and the Bayes rule identity (Costello and Watts, 2014, 2016a, Fisher and Wolfe, 2014, Wang and Busemeyer, 2013, Wang et al., 2014). Each of these identities represent specific agreement with the requirements of normative probability theory; strikingly, these identities seem to hold in people's judgements despite the presence of strong and systematic biases against the requirements of normative probability theory in those very same judgements...
December 6, 2017: Cognitive Psychology
https://www.readbyqxmd.com/read/29219599/error-mitigation-for-short-depth-quantum-circuits
#13
Kristan Temme, Sergey Bravyi, Jay M Gambetta
Two schemes are presented that mitigate the effect of errors and decoherence in short-depth quantum circuits. The size of the circuits for which these techniques can be applied is limited by the rate at which the errors in the computation are introduced. Near-term applications of early quantum devices, such as quantum simulations, rely on accurate estimates of expectation values to become relevant. Decoherence and gate errors lead to wrong estimates of the expectation values of observables used to evaluate the noisy circuit...
November 3, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/29195337/multi-gbit-s-optical-phase-chaos-communications-using-a-time-delayed-optoelectronic-oscillator-with-a-three-wave-interferometer-nonlinearity
#14
Jérémy Oden, Roman Lavrov, Yanne K Chembo, Laurent Larger
We propose a chaos communication scheme based on a chaotic optical phase carrier generated with an optoelectronic oscillator with nonlinear time-delay feedback. The system includes a dedicated non-local nonlinearity, which is a customized three-wave imbalanced interferometer. This particular feature increases the complexity of the chaotic waveform and thus the security of the transmitted information, as these interferometers are characterized by four independent parameters which are part of the secret key for the chaos encryption scheme...
November 2017: Chaos
https://www.readbyqxmd.com/read/29187230/decreasing-delirium-through-music-ddm-in-critically-ill-mechanically-ventilated-patients-in-the-intensive-care-unit-study-protocol-for-a-pilot-randomized-controlled-trial
#15
Sikandar H Khan, Sophia Wang, Amanda Harrawood, Stephanie Martinez, Annie Heiderscheit, Linda Chlan, Anthony J Perkins, Wanzhu Tu, Malaz Boustani, Babar Khan
BACKGROUND: Delirium is a highly prevalent and morbid syndrome in intensive care units (ICUs). Changing the stressful environment within the ICU via music may be an effective and a scalable way to reduce the burden of delirium. METHODS/DESIGN: The Decreasing Delirium through Music (DDM) study is a three-arm, single-blind, randomized controlled feasibility trial. Sixty patients admitted to the ICU with respiratory failure requiring mechanical ventilation will be randomized to one of three arms (20 participants per arm): (1) personalized music, (2) non-personalized relaxing music, or (3) attention-control...
November 29, 2017: Trials
https://www.readbyqxmd.com/read/29102826/a-motion-tolerant-approach-for-monitoring-spo2-and-heart-rate-using-photoplethysmography-signal-with-dual-frame-length-processing-and-multi-classifier-fusion
#16
Feiyi Fan, Yuepeng Yan, Yongzhong Tang, Hao Zhang
Monitoring pulse oxygen saturation (SpO2) and heart rate (HR) using photoplethysmography (PPG) signal contaminated by a motion artifact (MA) remains a difficult problem, especially when the oximeter is not equipped with a 3-axis accelerometer for adaptive noise cancellation. In this paper, we report a pioneering investigation on the impact of altering the frame length of Molgedey and Schuster independent component analysis (ICAMS) on performance, design a multi-classifier fusion strategy for selecting the PPG correlated signal component, and propose a novel approach to extract SpO2 and HR readings from PPG signal contaminated by strong MA interference...
November 2, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29099190/singular-value-decomposition-method-to-determine-distance-distributions-in-pulsed-dipolar-electron-spin-resonance
#17
Madhur Srivastava, Jack H Freed
Regularization is often utilized to elicit the desired physical results from experimental data. The recent development of a denoising procedure yielding about 2 orders of magnitude in improvement in SNR obviates the need for regularization, which achieves a compromise between canceling effects of noise and obtaining an estimate of the desired physical results. We show how singular value decomposition (SVD) can be employed directly on the denoised data, using pulse dipolar electron spin resonance experiments as an example...
November 7, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/29060769/automatic-atrial-fibrillation-detection-a-novel-approach-using-discrete-wavelet-transform-and-heart-rate-variability
#18
Iben H Bruun, Semira M S Hissabu, Erik S Poulsen, Sadasivan Puthusserypady
Early detection of Atrial Fibrillation (AF) is crucial in order to prevent acute and chronic cardiac rhythm disorders. In this study, a novel method for robust automatic AF detection (AAFD) is proposed by combining atrial activity (AA) and heart rate variability (HRV), which could potentially be used as a screening tool for patients suspected to have AF. The method includes an automatic peak detection prior to the feature extraction, as well as a noise cancellation technique followed by a bagged tree classification...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060123/a-novel-acoustic-catheter-stethoscope-based-acquisition-and-signal-processing-framework-to-extract-multiple-bio-signals
#19
Prashanth Chetlur Adithya, Ravi Sankar, Wilfrido A Moreno, Stuart Hart
In this study, a novel acoustic stethoscope based on an intravenous catheter was introduced to measure vascular pressures from a Yorkshire pig. Our hypothesis is that by means of this single device (measurement system) and by applying signal analysis and processing framework, multiple vital bio signals can be extracted. In contrast, current conventional state-of-the-art technologies use multiple devices to provide the same information. The framework used to extract these bio signals consisted of a noise cancellation technique and wavelet based source separation...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060008/a-low-power-high-sensitivity-analog-front-end-for-ppg-sensor
#20
Binghui Lin, Mohamed Atef, Guoxing Wang
This paper presents a low-power analog front-end (AFE) photoplethysmography (PPG) sensor fabricated in 0.35 μm CMOS process. The AFE amplifies the weak photocurrent from the photodiode (PD) and converts it to a strong voltage at the output. In order to decrease the power consumption, the circuits are designed in subthreshold region; so the total biasing current of the AFE is 10 μ A. Since the large input DC photocurrent is a big issue for the PPG sensing circuit, we apply a DC photocurrent rejection technique by adding a DC current-cancellation loop to reject the large DC photocurrent up to 10 μA...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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