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Ultrasound examination is the first line procedure for the diagnosis and follow-up of cardiovascular diseases. Instrumenting an ultrasound probe with a force sensor may improve thenon-invasive measurement of arterial biomechanical parameters (diameter, pulsatility, intima-media thickness and flow-dependent dilation) by measuring and controlling the force exerted by the sonographer. We present here...
In the general framework of the European ICT Project CHIC, focused on the building of a common repository for data and models in the field of human cancer, we are collecting clinical, serological and pathological data about prostate cancer for prognostic and growth modeling purposes. Two ongoing retrospective observational studies, named EUREKA-1 and EUREKA-2, focused on patients treated respectively...
Health records can be used in healthcare and medical history, which enables medical staff to obtain additional information regarding the physical condition of a patient and provide effective treatment. In this study, the following characteristics of electronic health records were observed: 1) numerous users; 2) a large amount of data; 3) low variability; 4) privacy authorization; and 5) user-specific...
It is broadly recognized that current advances in post-genomics research promise to change and even revolutionize the way genomic and personalised medicine is performed. Building on these advances, pharmacogenomics aim towards the discovery, analysis and interpretation of findings that relate the genetic effects of individuals to drug responses. It is most evident that information systems, which provide...
Smart clothes are wearable and comfortable devices for monitoring physiological signals. Using three-axis accelerometer sensors, smart clothes, developed by Chang Gung University (CGU), we are able to measure electrocardiography and electromyography signals as well as respiration, temperature, and motion. In this study, we develop a gateway device using a MSP430F6638 microcontroller to collect five...
Skin aging is a complex biological process that is yet to be successfully modelled as it depends on various internal and external factors. This work therefore investigates novel low-cost skin aging assessment technique and equipment by using robust analysis of textural features unified with a laser-speckle imaging method, which is found to be quite capable of detecting multi-layer cellular textural...
Health information retrieval and YouTube can be used as powerful tools aimed to improve users' health knowledge. However, YouTube videos must be carefully analysed in order to avoid misleading health content, such as inaccurate health information, non-up-to-date treatments, false medical products promoted by for-profit organizations, and information not related to health. This paper presents an approach...
This paper presents an intelligent mobile diabetes management and educational system for patients in Saudi Arabia with type 2 diabetes (SAED). The SAED system consists of two main components: (1) the SAED mobile patient/healthcare provider component and (2) the SAED intelligent diabetes management component. The SAED mobile patient/healthcare provider component includes two units (i) the patient's...
In-house automatic activity detection is highly important toward the automatic evaluation of the resident's cognitive state. However, current activity detection systems suffer from the demand for on-site acquisition of large amounts of ground truth data for training purposes, which poses a major obstacle to their real-world applicability. In this paper, focusing on resident location trajectory-based...
In this paper, we propose a new approach for detecting Buruli ulcer disease automatically based on computerized analysis of multispectral dermoscopic images. We employ optical skin modeling to reconstruct distribution maps of physiological tissue parameters that correlate well with melanin distribution in the epidermis as well as blood volume and blood oxygenation in the dermis. Using 197 sets of...
An indoor activity monitoring system for the elderly is proposed in this paper by using a Fitbit Flex wristband (FFW) and an active RFID. Two methods have been presented for identification of an activity place and a best accuracy of 98.89% has been achieved. The activity level of the elderly is evaluated via dissimilarity measurement by employing an activity density map. The presented system has the...
There is a need to know the anthropometric parameters of each population to improve the ergonomic design of tools, workstations and personal protective equipment. In their regular work, humans use their hands to develop their activities, and the required equipment should match with the physical dimensions of the workers. The traditional manual method for measuring takes a long time because of the...
This paper presents an improved video-based endoscope tracking approach on the basis of dense feature correspondence. Currently video-based methods often fail to track the endoscope motion due to low-quality endoscopic video images. To address such failure, we use image texture information to boost the tracking performance. A local image descriptor — DAISY is introduced to efficiently detect dense...
Autism Spectrum Disorder is associated with an altered early brain development. However, the specific cortical structure abnormalities underlying this disorder remain largely unknown. Here, we designed a multi-modal segmentation pipeline adapted to anatomical MR images acquired in a clinical setting in order to apply state-of-the-art sulcus-based morphometry methods to a large cohort of 73 young children...
In this paper, we propose a novel approach for automated detection of breast masses in three-dimensional (3D) reconstructed slices on digital breast tomosynthesis (DBT). The 3D reconstructed slices provide quasi-3D information with limited resolution along the depth direction due to insufficient sampling in depth direction. This problem could cause an error of general 3D segmentation approaches which...
Increasingly aging population is leading to higher prevalence of musculoskeletal disorders and related muscular dysfunctions, requiring new types of functional investigations in daily clinical practice. Emerging non-invasive imaging techniques, such as hybrid PET/MRI, allow to visualize and to analyze the human body from the anatomical and metabolic point of view in a single scanning session. We aim...
The use of digital medical imaging systems has greatly increased in healthcare institutions and they are currently valuable tools supporting medical decision and treatment procedures. The proliferation of digital modalities led to an explosion on medical images production, increasing the need to have larger repositories to afford all this amount of data with high availability and performance. NoSQL...
Cloud computing and Internet of things (IOT) technologies can support a new generation of PHR systems which are provided as cloud services that contain patient data (health and social) from various sources, including automatically transmitted data from Internet connected devices of patient living space (e.g. medical devices connected to patients at home care). In this paper, the virtual PHR concept...
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