Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin

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Fuzzy Intelligent System for Supporting Preeclampsia Diagnosis from the Patient Biosignalsc is dealt in many previous works, there are challenges still open for the scientific community, such as the development of systems to produce reports and alerts using a human-friendly language. We present a brief review of some relevant previous works, as well as our proposal of a system based on f

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Non-intrusive Bedside Event Recognition Using Infrared Array and Ultrasonic Sensorthe opportunity to intervene, thereby preventing a fall from happening. Most approaches today either use cameras which invade privacy, or sensor devices attached to bed. In this paper an experimental approach for recognizing bedside events using a ceiling mounted 60 × 80 longwave infrared array comb

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Application of Feature Subset Selection Methods on Classifiers Comprehensibility for Bio-Medical Datomprehensibility of the resultant model is given less attention. We show that a weak feature selection method may significantly increase the complexity of a classification model. We also proposed an extendable feature selection methodology based on our preliminary results. Insights from the study ca

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First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing ral pain syndrome. The Frontal Plane Projection Angle (FPPA) is widely used as a 2-D estimation of knee alignment. However, traditional procedures to measure this angle suffer from practical limitations, which leads to huge time investments when evaluating multiple subjects. This work presents a nov

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Detecting Human Movement Patterns Through Data Provided by Accelerometers. A Case Study Regarding Alexplore the relation of these patterns with the stage of the disease. This methodology processes the data provided by the accelerometer to extract features of the patient movement patterns. This information is used to train a neural network that relates the patient movement patterns with the stage o

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Business Process Management for the Crohn’s Disease Clinical Processigh cost for health systems and a significant loss of quality of life for the patient. This paper shows a new approach to redesign process for the management of Crohn’s disease based on Business Process Management strategy. This approach seeks to improve the patient empowerment and self-management,