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A critical foundation for empirical land change modeling is the mapping of transition potentials—quantitative evaluations of the readiness or suitability of land to go through a transition. This paper presents a procedure based on empirically determined normalized likelihoods of transition. It shows that these normalized likelihoods equate to posterior probabilities if case–control sampling is carried...
Causal relationship between physical activity and prevention of several diseases has been known for some time. Recently, attempts to quantify dose-response relationship between physical activity and health show that automatic tracking and quantification of the exercise efforts not only help in motivating people but improve health conditions as well. However, no commercial devices are available for...
Traditional healthcare solutions oblige patients to stay in hospital; bio-signal monitoring and treatment dosing require the presence of specialized personnel. In turn, this scenario implies high-cost, especially for chronic diseases or fragile people surveillance. Wearable sensor-based healthcare solutions may be an effective approach for lowering costs, since they offer good performance and can...
Detection of R-peaks in an electrocardiogram (ECG) acquisition is the primary goal of any algorithm for the automatic processing of ECG signals. Several methods have been proposed in the past to accomplish this task, but usually they are designed for the use in clinical situations, where strict real-time requirements are not always needed and availability of devices with high computational resources...
The monitoring of vital parameters for athletes of all disciplines is becoming more and more essential, to improve performances and to ensure a constant control of athletes' physical conditions, thus preventing health risks and injuries. However, especially in amatorial competitions, the low available budget limits leads to the use of inexpensive and thus ineffective instrumentation. In this paper,...
The wider and wider availability of powerful, low-cost mobile devices (e.g., smartphones or tablets) is deeply changing healthcare, so that the mHealth term has been coined. The announcement of healthcare projects by market big players as Apple and Samsung confirms this trend. In particular, the opportunity to collect reliable patient data automatically allows to enhance patient/user self-management...
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