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Motor skills are generally acquired by means of practice. This procedure comprised of acquiring particular task requirements by overruling intrinsic tendencies. The objectives of the present study were; to induce plasticity through bimanual finger tapping task; and to determine the influence of presence or absence of performance feedback on training. Behavioural data from 16 healthy subjects was recorded...
In this paper, we investigate the methods to express the structural information such as tube-like shape or isolated region based on fluoro-deoxy glucose(FDG) PET images and its visualization. To extract the human structural information, we calculate the curvatures of two types. One is calculated by Hessian matrix, the other is based on the four dimensional hyper-surface of FDG-PET images. There are...
In this study, Magneto-Acousto Electrical Tomography with magnetic measurements technique is investigated using two dimensional (2D) simplified numerical breast model. This technique comprises of the electrical current induction and ultrasound in the static magnetic field. 2D numerical simplified breast geometry is modeled with an ultrasonic transducer (linear phased array (LPA)) placed on the top...
Haralick's features have been extensively used in texture analysis of medical images. In this contribution, we have applied Haralick's to T2-weighted colorectal MRI for a possible cancer evaluation. In particular, the T2-MRI images of 8 patients with colorectal pathology were identified as early stage malignant and later stage malignant using the whole amount of follow-up exams by radiologists. 192...
A phantom study for breast tumor registration based on the deformation of the external surface is proposed. This study aims at the integration into an image guided system for breast cancer biopsy or ablation. To compensate potentially large breast displacements, due to different positions of the breast during biopsy or ablation compared with pre-operative data, where the diagnosis was made, an initial...
In this report we have demonstrated a fluorescence resonant energy transfer (FRET)-fluorescence lifetime imaging microscopy (FLIM) combined approach to study the intracellular pathway of gold nanoparticles. The detected energy transfer between gold nanorods (GNRs) and green fluorescence protein (GFP) labeled Heia cell early endosomes and the in-depth lifetime distribution analysis on the transfer...
Vision based gait analysis systems has gained a lot of importance in recent years due to its low cost, time efficient and non-invasive procedure. The existing gait analysis systems are either expensive or require controlled environments such as a laboratory or a clinic. Reha@Home system is an inexpensive and non-intrusive markerless gait analysis system based on a RGBD camera. The presented system...
In this paper a feasibility study of the depth sensitivity for a patent-registered method is described. To visualize tomographic and topographic properties of tissue by detection of diffusely reflected photons, it is fundamental for this method to get information from the depth of the examination object. The experimental setup as well as the workflow for investigating the experimentally achievable...
The recent emergence of deep learning methods for medical image analysis has enabled the development of intelligent medical imaging-based diagnosis systems that can assist the human expert in making better decisions about a patients health. In this paper we focus on the problem of skin lesion classification, particularly early melanoma detection, and present a deep-learning based approach to solve...
Brain tumor has remained one of the key causes of death in people of all ages. One way to increase survival rate amongst patients is to correctly diagnose cancer in its early stages. There are several classifiers which can classify cancer images with high accuracy. The goal of this paper was to present a brief survey of the main machine learning methods used in literature to classify brain tumor in...
In this paper, we propose a novel patient-specific electrocardiogram (ECG) classification algorithm based on the recurrent neural networks (RNN) and density based clustering technique. We use RNN to learn time correlation among ECG signal points and to classify ECG beats with different heart rates. Morphology information including the present beat and the T wave of former beat is fed into RNN to learn...
Having missing values due to several experimental conditions is a common problem in analyzing the results of microarray experiments. Although many imputation methods exist, comparative studies based on regression based models are very limited. Particularly, Relevance Vector Machine (RVM), a recent regression method shown to be effective in various domains, has not been considered so far for missing...
Assistive Technology (AT) maintains and improves the individual's functioning and independence, thereby promoting their well-being. But today only 1 from each 10 people in need have access to AT due to high costs and a lack of awareness, availability, personal training, policy and financing. By 2050, more than 2 billion people will need at least 1 assistive product with many elderly needing 2 or more...
Spinal cord injury (SCI) is classified as neurological disorder that affects motor and sensory function below the injury level. Studies show that application of low-intensity electrical stimulation (LIES) to neural tissue increases neurochemical factors responsible for regeneration as nerve growth factor. Stem cell (SC) therapy for patients with SCI can result in the replacement of injured neurons...
Motor imagery is currently one of the main applications of Brain-Computer Interface (BCI) which aims at providing the disabled with means to execute motor commands. One of the major stages of motor imagery systems is reducing the dimensions of the input data and enhancing the features prior to applying a classification stage to recognize the intended movement. In this paper, we utilize autoencoders...
STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a flexible robotic system based on the Anubis® platform of Karl Storz for application to intraluminal procedures. It consists of three cable-driven systems, one endoscope serving as guide and two inserted instruments. The flexible and bendable instruments have three degrees of freedom and can be teleoperated by a single user via...
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