RESUMEN
HeartCycle is an integrated project aiming to provide a disease management solution for cardiovascular disease patients, by developing technologies, algorithms to interpret data and services to facilitate the remote management of patients at home. In this paper an overview of part of the algorithmic work package, oriented at motivating the patients to be compliant to treatment regimes and to adopt a beneficial lifestyle, will be given. A concept allowing further education of the patient on the effect of medication on their vital signs, as well as the prediction of medication effect and a possible way to check compliance using vital signs measurements will be presented.
Asunto(s)
Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/tratamiento farmacológico , Cumplimiento de la Medicación , Educación del Paciente como Asunto/métodos , Programas Informáticos , Interfaz Usuario-Computador , Signos Vitales , Grecia , HumanosRESUMEN
Exercise constitutes an important intervention aiming to improve health and quality of life for several categories of patients. Personalized exercise prescription is a rather complicated issue, requiring several aspects to be taken into account, e.g. patient's medical history and response to exercise, medication treatment, personal preferences, etc. The present work proposes an ontology-based framework designed to facilitate healthcare professionals in personalized exercise prescription. The framework encapsulates the necessary domain knowledge and the appropriate inference logic, so as to generate exercise plan suggestions based on patient's profile. It also supports readjustments of a prescribed plan according to the patient's response with respect to goal achievement and changes in physical-medical status. An instantiation of the proposed framework for cardiac rehabilitation illustrates the virtue and the applicability of this work.
Asunto(s)
Rehabilitación Cardiaca , Sistemas de Apoyo a Decisiones Clínicas , Prescripción Electrónica , Terapia por Ejercicio/métodos , Medicina de Precisión/métodos , Programas Informáticos , Terapia Asistida por Computador/métodos , Humanos , Interfaz Usuario-ComputadorRESUMEN
Heart Rate Variability (HRV) reflects the balance between sympathetic and parasympathetic activity. Slower HRV rhythms (LF) indicate increased sympathetic and/or lower vagal activity, wakefulness characteristics, while faster HRV rhythms (HF) indicate lower sympathetic and/or increased parasympathetic and vagal activity, sleepy characteristics. In this work we demonstrate that power spectral analysis of drivers' heart rate can report driving errors caused by sleepiness. Furthermore, variation of Fractal Dimension (FD) can aid significant information for the assessment of the driving situation. ECG and EEG data were collected from sleep-deprived subjects exposed to real field driving conditions. A lower ratio of low frequency to high frequency components (LF/HF), and lower LF values were reported on the occurrence of driving errors.