Search results for "intelligence"
showing 10 items of 6959 documents
Robust γ-filter using support vector machines
2009
This Letter presents a new approach to time-series modelling using the support vector machines (SVM). Although the g-filter can provide stability in several time-series models, the SVM is proposed here to provide robustness in the estimation of the g-filter coefficients. Examples in chaotic time-series prediction and channel equalization show the advantages of the joint SVM g-filter. Teoría de la Señal y Comunicaciones
A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity
2015
High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two in…
Análisis de métodos de validación cruzada para la obtención robusta de parámetros biofísicos
2015
[EN] Non-parametric regression methods are powerful statistical methods to retrieve biophysical parameters from remote sensing measurements. However, their performance can be affected by what has been presented during the training phase. To ensure robust retrievals, various cross-validation sub-sampling methods are often used, which allow to evaluate the model with subsets of the field dataset. Here, two types of cross-validation techniques were analyzed in the development of non-parametric regression models: hold-out and k-fold. Selected non-parametric linear regression methods were least squares Linear Regression (LR) and Partial Least Squares Regression (PLSR), and nonlinear methods were…
Telehealth modulation and new proposals during the Covid-19 pandemic: a literature review
2022
The Covid-19 pandemic has completely modified the Healthcare organization. This review aims to analyze the evolution of the different Telemedicine areas during pandemic. Electronic Health Records allows accelerating the study of patients suffering from Covid-19 disease, supporting their clinical assistance. The decreasing rehabilitation programs have determined a deterioration of the patient quality of life. Teleradiology was necessary to discard the increased requests and dab the shortage of staff, and to guarantee the interaction between specialist and patient. Telecardiology was fundamental determining a reduced of secondary mortality for cardiological complications of the infection. Tel…
Trajectory of Affordances: Insights from a case of telemedicine in Nepal
2017
Although Affordance Theory has become increasingly influential in the Information Systems (IS) literature, the exact process through which the affordances of IT are actualised is less studied. In t ...
An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks
2020
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it includes an AI algorithm based on deep learning for the detection of Atrial Fibrillation and other heart rhythms. The automatic detection of arrhythmias can be complementary to the diagnosis made by the physician, achieving a better clinical vision that improves therapeutic decision making. The performance of the proposed system is evaluated on a…
Adaptation of the Model for Assessment of Telemedicine (MAST) for IoT Telemedicine Services
2017
Internet of Things (IoT) based solutions and services may be used to support and extend the independent living of older adults in their living environments by responding to real needs of caregivers, service providers and public authorities. Telemedicine and telehealth platforms are among the various types of IoT services that could support the provision of health services. Current Health Technology Assessment (HTA) models that are used for the evaluation of telehealth and telemedicine services do not consider IoT aspects. HTA models would ideally need to be extended to include IoT platforms, for an optimal introduction of IoT in everyday provision of health and care services. This paper pre…
Decision support system for telemedicine based on multiple expertise
2002
This paper discusses results of the research in the area of artificial intelligence applications in telemedicine. The main goal of research is to manage multiple expertise obtained from experts-physicians in different countries to develop decision support medical system of broad earmarking based on telecommunication tools. The multilevel representation of medical data is discussed based on the apparatus of metastatistics. The technique is able to acquire semantically essential information from complex dynamics of quasi-periodical medical signals by applying recursively ordinary statistical tools. The voting-type technique is used to find consensus among medical experts in their description …
Knowledge-based modelling applied to synucleinopathies
2015
International audience; The adoption of telemedicine technologies has enabled collaborative programs involving a variety of links among distributed medical structures and health officials and professionals. The use for telemedicine for transmission of medical data and the possibility for several distant physicians to share their knowledge on given medical cases provides clear benefits, but also raises several unsolved conceptual and technical challenges. The seamless exchange and access of medical information between medical structures, health professionals, and patients is a prerequisite for the harmonious development of this new medical practice. This paper proposes a new approach of sema…
Association of basal forebrain volumes and cognition in normal aging.
2013
The basal forebrain cholinergic system (BFCS) is known to undergo moderate neurodegenerative alterations during normal aging and severe atrophy in Alzheimer's disease (AD). It has been suggested that functional and structural alterations of the BFCS mediate cognitive performance in normal aging and AD. But, it is still unclear to what extend age-associated cognitive decline can be related to BFCS in normal aging. We analyzed the relationship between BFCS volume and cognition using MRI and a comprehensive neuropsychological test battery in a cohort of 43 healthy elderly subjects spanning the age range from 60 to 85 years. Most notably, we found significant associations between general intell…