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An automated detection of plant disease is an important task to find features or abnormalities in plant and its effect on the fruits. In this paper an algorithm is proposed for detection of powdery mildew disease from a cherry leaf images. The proposed method uses an automated strategic removal of background from the image and then extracting the desired diseased portion. A combination of morphological...
The present work explores the capacity of a machine vision system to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system in response to MeHg contaminated feed. Three groups of fish were exposed for 2 weeks to 0.5, 5 and 10 ppm of methylmercury (MeHg) in the feed and compared to a group whose feed was not artificially contaminated. No mortality...
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN). We used voice recordings of sustained vowel /a/ produced at normal pitch from German corpus Saarbruecken Voice Database (SVD). This corpus contains voice recordings and electroglottograph signals of more than 2 000 speakers. The idea behind this experiment is the use of convolutional layers...
Image fusion plays an important role in remote sensing applications. Because of this, the evaluation of the spectral quality of pan-sharpened images is a fundamental subject to optimize and compare the results of different algorithms. The aim of this paper is to explore the use of CIEDE2000 distance to evaluate the spectral quality of the fused images. To do this, a database containing remote sensing...
The so-called Mild Cognitive Impairment (MCI) or cognitive loss appears in a previous stage before Alzheimer’s Disease (AD), but it does not seem sufficiently severe to interfere in independent abilities of daily life, so it usually does not receive an appropriate diagnosis. Its detection is a challenging issue to be addressed by medical specialists. This work presents a novel proposal based on automatic...
Forearm vein recognition is one of the methods used for identification. In this paper forearms vein features are used for recognition in biometric systems. Forearm vein can be considered more secured compared to other biometric traits because the veins are inside the human body. The forearm recognition has been developed using characteristic points based technique where forearm image is normalized,...
Identification of the Root canal length is a major concern in the dentistry worldwide, which currently seeks the manual calculation in order to detect the measurement of the teeth. Intensity inhomogeneity often is a major problem in dental x-rays which causes considerable difficulties in segmentation. For better computer-aided diagnosis in dentistry, having a precise tooth segmentation is a critical...
Medical eye surgery robots are supporting the surgery process in many ways, they primarily can help the surgeon during surgery procedure, they can provide valuable status information about the environment, about the patient and about the forthcoming steps of the surgical process, and by definition they need to protect the patient too. During eye surgery we can differentiate phases of the process and...
Body auscultation one of the main common clinical diagnostic technique for assessment of cardiac disorders. This clinical method is cheap and effective and requires professional doctors to understand and interpret the heart sound for diagnosis of cardiac diseases. This paper presents basic analysis and comparison of heart sounds recorded from healthy and unhealthy subjects for automated screening...
Health care is changing the focus from primary and specialty care to prevention and wellness. Therefore, home health care is seen as one of the most relevant wellness services due to high accessibility and low cost of diagnosis. The growth relevance given to the sleep related disorders, due to the high importance of sleep in our lives, is specifically significant in this context encouraging the development...
Health care is changing the focus from primary and specialty care to prevention and wellness. Therefore, home health care is seen as one of the most relevant wellness services due to high accessibility and low cost of diagnosis. The growth relevance given to the sleep related disorders, due to the high importance of sleep in our lives, is specifically significant in this context encouraging the development...
The biomechanical gait is a complex and robust task that demands little conscious effort of an individual to perform. This article proposes a methodology for artificially generating a bipedal humanoid gait pattern for the knee and hip leg joints in the sagittal plane. The lower limbs movement is divided into three complementary patterns of movement, each with a specific function, which can be modulated...
The quest for an improvement in the quality of life of human beings directs the idea of integrating different areas of knowledge to solve problems that it is impossible to solve using traditional methods. The presented idea applies to the development of autonomous robotic systems; such as cars, wheelchairs, boats, and airplanes. In those cases, given a high level of autonomy can bring countless benefits...
Sphingolipid (SL) signaling pathway is a complex biological system able to integrate different types of cellular stress signals related to induction of cell death pathways with special interest in cancer. This makes of the SL pathway a promising sensor of chemosensitivity and a target hub to overcome resistance. However, it is unclear how chemotherapeutic drugs can disturb the SL pathway and how the...
Electromyography is a method for recording electrical activities of the muscle for different clinical and nonclinical tasks. For extracting more information, integrated electromyography is commonly used than the raw electromyography. This paper presents the design and implementation of integrated electromyography both in software and hardware. Software was implemented in Matlab due to easier implementation...
Patients affected by Amyotrophic Lateral Sclerosis (ALS) show specific dysarthric clues in speech. These marks could be used to detect early symptoms and monitor the evolution of the disease in time. Classically articulation marks have been mainly based on static premises. Articulation Kinematics from acoustic correlates may help in producing measurements based on the dynamic behavior of speech. Specifically,...
Leaf can be one of the many different parameters on the basis of which a plant can be uniquely identified. Many plants types are on the verge of extinction and can be taken care of, if identified correctly. The proposed method discusses an automated image processing system for leaf classification. The leaf pixels from the image are segmented and termed as region of interest (ROI). A set of geometrical,...
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