In this work, we have used a combination of vibrational spectroscopy (infrared, Raman and inelastic neutron scattering) periodic density functional theory to investigate the structure methanesulfonic acid (MSA) in liquid solid states. The spectra clearly show that hydrogen bonding is much stronger than state. MSA not known; however, mineral acids typically adopt chain condensed phases. A (CASTEP) calculation based on linear found closely related molecule trifluoromethanesulfonic gave good...

Computed Tomography (CT) imaging is one of the most widely-used and cost-effective technology for organ screening diseases diagnosis. Because existence metallic implants in some patients, CT images acquired from these patients are often corrupted by undesirable metal artifacts, which causes severe problem artifact. Although there have been proposed many methods to reduce artifact, reduction still challenging inadequate, results suffering symptom variance, second artifact poor subjective...

Abstract Objective. Deep learning has markedly enhanced the performance of sparse-view computed tomography reconstruction. However, dependence these methods on supervised training using high-quality paired datasets, and necessity for retraining under varied physical acquisition conditions, constrain their generalizability across new imaging contexts settings. Approach. To overcome limitations, we propose an unsupervised approach grounded in deep image prior framework. Our advances beyond...

In this work, we have used a combination of vibrational spectroscopy (infrared, Raman and inelastic neutron scattering) periodic density functional theory to investigate six metal methanesulfonate compounds that exhibit four different modes complexation the ion: ionic, monodentate, bidentate pentadentate. We found transition energies associated with methyl group (C–H stretches deformations, rock torsion) are essentially independent mode coordination. The SO 3 in spectra also show little...

Background Cardiovascular disease not only occurs in the elderly but also tends to become a common social health problem. Considering fast pace of modern life, quantified heart rate variability (HRV) indicators combined with convenience wearable devices are great significance for intelligent telemedicine. To quantify changes human mental state, this article proposes an improved differential threshold algorithm R-wave detection and recognition electrocardiogram (ECG) signals. Methods HRV is...

Heart murmur recognition and classification play an important role in the auscultative diagnosis. The method based on hidden markov model (HMM) was presented to recognize heart murmur. isolated basis of principle wavelet analysis considering time-frequency characteristics This uses Mel frequency cepstral coefficient (MFCC) extract representative features develops Markov for signal classification. result shows that this is able efficiently superior BP neural network (94.2% vs 82.8%). And...

This paper proposed a relative value method for measuring the indicators of cardiac reserve and investigated application on monitoring evaluating function pregnant women. A heart sound sensor is placed at precordial region to detect phonocardiogram. In order access mobilization level during pregnancy, 1,683 normal women, 96 abnormal cases with different obstetric complications 624 non-pregnant women were measured, analyzed compared. The result shows that differences between significant (p <...

This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, Morlet is proposed to extract the energy heart sound. Noise can be decomposed different frequency channel smoothing, thereby reducing impact noise. And then physiological criteria time interval, ratio systolic and diastolic duration phonocardiogram (PCG) collecting position are employed differentiate S1 S2. The experiment results show that algorithm more...

Befitting from the interpretability and capacity in capturing underlying manifold structure, diffusion process (DP) has attracted increasing attention field of image retrieval. Within it, hierarchical (HDP) achieved satisfactory results retrieved performance complexity. However, existing methods only diffuse affinity values low-level visual space without considering high-level semantic information, which cause problem gap. To overcome these problems, we propose a Graph Regularized...

Parallel abstracts The purpose of our study was to investigate the frequency third heart sound (S3) athletes after exercise, and determine whether amplitude S3 were related cardiac function. phonocardiogram exercise test (PCGET) used in this study, healthy volunteers consisting 84 (age 21.0±1.7 years; 62 males 22 females) 45 non-athletes 24.1±2.0 33 12 enrolled. All subjects except one with a murmur without known cause. Immediately occurred 21 (25.0%) 10 (22.2%) during PCGET. There very...

In the fingertip blood automatic sampling process, when point in venous area, it will greatly increase amount of bleeding without being squeezed. order to accurately locate we propose a new finger vein image segmentation approach basing on Gabor transform and Gaussian mixed model (GMM). Firstly, filter parameter can be set adaptively according differential excitation use local binary pattern (LBP) fuse same-scale multi-orientation features image. Then, is achieved by Gabor-GMM system...

<title>Abstract</title> Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. However, when training from scratch on small datasets, there is still a significant performance gap between ViTs and Convolutional Neural Networks (CNNs), which attributed to the lack of inductive bias. To address this issue, we propose Graph-based Transformer (GvT) that utilizes graph convolutional projection graphpooling. In each block, queries keys are calculated...

Fused indanes of increasing complexity have been investigated by inelastic neutron scattering, infrared and Raman spectroscopies, supported DFT calculations.

In the automatic collection of blood from fingertip, it is necessary to squeeze finger increase bleeding due relatively tiny vessels and comparatively small volume. Thus, this will cause cell fluid enter extracted lead inaccurate test results. If vein-dense area selected as point, amount that can be greatly increased. Due poor contrast infrared image veins, difficult effectively distinguish vein with traditional segmentation method. Deep learning has made great achievements in segmentation....

This paper developed a smart-phone based platform for automatically arrhythmia detection and diagnosis. The algorithm user interface have been implemented on with ARM Hi3611 processor running at 480MHz simulations show that the accuracy of R-peak is higher than 95%. results ECG alarm information can be sent to tele-monitoring center through GPRS. Smart-phone would waves diagnose symptoms in real-time.

OBJECTIVE To investigate the change of cardiac reserve during abnormal pregnancy and explore its evaluation methods. METHODS Totally 96 women with pregnancies (AP group), 356 normal (NP 100 childbearing age (CBA group) were monitored by exercise contractility monitor (ECCM). Phonocardiogram participants at resting status was recorded ECCM. The amplitude first heart sound (S1), second (S2), cycle, diastolic duration (D), systolic (S) detected then S1/S2 ratio,the D/S ratio, rate (HR)...