Atrial fibrillation (AF) is an arrhythmia that can lead to several patient risks. This kind of affects mostly elderly people, in particular those who suffer from heart failure (one the main causes hospitalization). Thus, detection AF becomes decisive prevention cardiac threats. In this paper algorithm for based on a novel architecture and feature extraction methods proposed. The aforementioned analysis three physiological characteristics AF: i) P wave absence ii) rate irregularity iii)...

A new unsupervised and low complexity method for detection of S1 S2 components heart sound without the ECG reference is described The most reliable invariant feature applied in current state-of-the-art segmentation algorithms implicitly or explicitly S1-S2 interval regularity. However; this criterion inherently prone to noise influence does not appropriately tackle arrhythmic cases. solution based upon a high frequency marker; which extracted from using fast wavelet decomposition, proposed...

Heart sound is a valuable biosignal for diagnosis of large set cardiac diseases. Ambient and physiological noise interference one the most usual highly probable incidents during heart acquisition. It tends to change morphological characteristics that may carry important information disease diagnosis. In this paper, we propose new method applicable in real time detect ambient internal body noises manifested The algorithm developed on basis periodic nature sounds physiologically inspired...

This article presents a new global approach for detecting vanishing points and groups of mutually orthogonal directions using lines detected in images man-made environments. These two multi-model fitting problems are respectively cast as Uncapacited Facility Location (UFL) Hierarchical (HFL) instances that efficiently solved message passing inference algorithm. We also propose functions measuring the consistency between an edge putative point, computing point defined by subset edges....

Odometry consists in using data from a moving sensor to estimate change position over time. It is crucial step for several applications robotics and computer vision. This paper presents novel approach estimating the relative motion between successive RGB-D frames that uses plane-primitives instead of point features. The planes scene are extracted estimation cast as plane-to-plane registration problem with closed-form solution. Point features only cases where plane surface configuration...

The article concerns the automatic calibration of a camera with radial distortion from single image. It is known that, under mild assumption square pixels and zero skew, lines in scene project into circles image, three suffice to calibrate up an ambiguity between focal length distortion. results highly depend on accurate circle estimation, which hard accomplish because tend short circular arcs. To overcome this problem, we show given arc edge, it possible robustly determine line that goes...

Heart sounds entail crucial heart function information. In conditions of abnormalities, such as valve dysfunctions and rapid blood flow, additional are heard in regular sounds, which can be employed pathology diagnosis. These or so-called murmurs, show different characteristics with respect to cardiovascular diseases, namely disorders. this paper, we present a method murmur classification composed by three basic steps: feature extraction, selection, using nonlinear classifier. A new set 17...

Estimating the amount and center of distortion from lines in scene has been addressed literature by so-called ``plumb-line'' approach. In this paper we propose a new geometric method to estimate not only parameters but entire camera calibration (up an ``angular'' scale factor) using minimum 3 lines. We framework for unsupervised simultaneous detection natural image estimation, enabling robust single image. Comparative experiments with existing automatic approaches estimation ground truth...

This paper presents a new algorithm for segmentation and classification of S1 S2 heart sounds without ECG reference. The proposed approach is composed three main stages. In the first stage fundamental sound lobes are identified using fast wavelet transform Shannon energy. Next, these validated classified into classes based on Mel-frequency coefficients non-supervised neural network. Finally, regular cycles in post-processing by rhythm criterion. was tested samples collected from prosthetic...

Systolic time intervals (STI) have shown significant diagnostic and prognostic value to assess the global cardiac function. Their has been largely established in hospital settings. Currently, STI are considered a promising tool for long-term patient follow-up with chronic cardiovascular diseases. Several technologies exist that enable beat-by-beat assessment of personal health application scenarios. A comparative study is presented using echocardiographic gold standard synchronized impedance...

We propose a simple and useful idea based on cross-ratio constraint for wide-baseline matching 3D reconstruction. Most existing methods exploit feature points planes from images. Lines have always been considered notorious both reconstruction due to the lack of good line descriptors. method generate match new using virtual lines constructed pairs keypoints, which are obtained standard point detectors. use constraints obtain an initial set matches, subsequently used correspondences. develop...

Knee arthritis is a common joint disease that usually requires total knee arthroplasty. There are multiple surgical variables have direct impact on the correct positioning of implants, and an optimal combination all these most challenging aspect procedure. Usually, preoperative planning using computed tomography scan or magnetic resonance imaging helps surgeon in deciding suitable resections to be made. This work proof concept for navigation system supports following plan. Existing solutions...

This paper presents an algorithm for S1 and S2 heart sound segmentation using variance fractal dimension. Heart is assumed as a non-stationary signal embedding two main sounds arid S2, murmurs eventually unusual ambient sound. The dimension applied to adaptively identify the boundaries of lobes. components are detected QRS synchronization while non-supervised classification approach applied, based on temporal features allows 2-lead ECG be used task. Some preliminary results presented...

Heart failure and heart valvar diseases are chronic disorders which potentially diagnosed using sound characteristics. components S1 S2 exhibit significant characteristics for dysfunction while pathological S3 is a prominent sign in elderly people. In this paper, new automatic detection method of the proposed. The build upon wavelet transform-simplicity filter separates S1, sounds from background noise enabling segmentation even presence murmurs or sources. algorithm uses physiologically...

This paper addresses the estimation of systolic time intervals, namely pre-ejection period (PEP) and left ventricular ejection (LVET), using heart sound. PEP is estimated with a Bayesian approach resorting to signal's instantaneous amplitude typical intervals between atrio-ventricular valve closure aortic opening. As for LVET, determined through analysis high-frequency signature S2. Additionally, LVET has also been from PPG signal at peripheral site, sake comparison over subset data. We...

The Left ventricular ejection time (LVET) is one of the primary surrogates left contractility and stroke volume. Its continuous monitoring considered to be a valuable hypovolumia prognostic parameter an important risk predictor in cardiovascular diseases such as cardiac light chain amyloidosis. In this paper, we present novel methodology for assessment LVET based Photoplethysmographic (PPG) waveform. We propose use Gaussian functions model both systolic diastolic phases PPG beat consequently...

In this paper, we propose a framework for guiding patients and/or users in how to correct their posture real-time without requiring physical or direct intervention of therapist sports specialist. order support monitoring and correction, paper presents flexible system that continuously evaluates postural defects the user. case deviations from are identified, then feedback information is provided guide user converge an appropriate stable body condition. The core proposed approach analysis...

The impedance cardiogram (ICG) is a promising tool for non-invasive and cost effective assessment of the hemodynamic state, especially in low acuity home settings. Important diagnostic parameters are related to characteristic points within ICG, i.e. B X that assumed mark opening closure aortic valve., respectively. Based on synchronized echocardiography-ICG data obtained from healthy subjects at rest, we compare 4 existing alternatives ICG’s point definitions associated detection algorithms....

In this paper, we explore the concept of providing feedback to a user moving in front depth camera so that he is able replicate specific template action. This can be used as home based rehabilitation system for stroke survivors, where objective for patients practice and improve their daily life activities. Patients are guided how correctly perform an action by following proposals. These proposals are presented human interpretable way. order align that was performed with template action, two...

Action recognition using dense trajectories is a popular concept. However, many spatio-temporal characteristics of the are lost in final video representation when single Bag-of-Words model. Also, there significant amount extracted trajectory features that actually irrelevant to activity being analyzed, which can considerably degrade performance. In this paper, we propose human-tailored extraction scheme, clustered information from human pose. Two configurations considered; first, exact...

The Dense Trajectories concept is one of the most successful approaches in action recognition, suitable for scenarios involving a significant amount motion. However, due to noise and background motion, many generated trajectories are irrelevant actual human activity can potentially lead performance degradation. In this paper, we propose Localized as an improved version where motion clustered around body joints provided by RGB-D cameras then encoded local Bag-of-Words. As result, provides...

Arthroscopic surgery, with its inherent difficulties on visibility and maneuverability inside the joint, poses significant challenges to surgeons. Video-based surgical navigation (VBSN) has proven have clinical benefits in arthroscopy but relies a time-consuming challenging surface digitization using touch probe accomplish registration of intraoperative data preoperative anatomical models. This paper presents an off-the-shelf laser scanner for noninvasive that enables increased area reachable region.