RESUMEN
Stress and anxiety heavily affect the human wellbeing and health. Under chronic stress, the human body and mind suffers by constantly mobilizing all of its resources for defense. Such a stress response can also be caused by anxiety. Moreover, excessive worrying and high anxiety can lead to depression and even suicidal thoughts. The typical tools for assessing these psycho-somatic states are questionnaires, but due to their shortcomings, by being subjective and prone to bias, new more robust methods based on facial expression analysis have emerged. Going beyond the typical detection of 6 basic emotions, this study aims to elaborate a set of facial features for the detection of stress and/or anxiety. It employs multiple methods that target each facial region individually. The features are selected and the classification performance is measured based on a dataset consisting 23 subjects. The results showed that with feature sets of 9 and 10 features an overall accuracy of 73% is reached.
Asunto(s)
Ansiedad/diagnóstico , Expresión Facial , Estrés Psicológico/diagnóstico , Adulto , Trastornos de Ansiedad/diagnóstico , Depresión/diagnóstico , Emociones , Femenino , Frecuencia Cardíaca , Humanos , Masculino , Encuestas y CuestionariosRESUMEN
OBJECTIVES: This paper reflects on the role of open source in health information system interoperability. Open source is a driving force in computer science research and the development of information systems. It facilitates the sharing of information and ideas, enables evolutionary development and open collaborative testing of code, and broadens the adoption of interoperability standards. In health care, information systems have been developed largely ad hoc following proprietary specifications and customized design. However, the wide deployment of integrated services such as Electronic Health Records (EHRs) over regional health information networks (RHINs) relies on interoperability of the underlying information systems and medical devices. METHODS: This reflection is built on the experiences of the PICNIC project that developed shared software infrastructure components in open source for RHINs and the OpenECG network that offers open source components to lower the implementation cost of interoperability standards such as SCP-ECG, in electrocardiography. RESULTS: Open source components implementing standards and a community providing feedback from real-world use are key enablers of health care information system interoperability. CONCLUSIONS: Investing in open source is investing in interoperability and a vital aspect of a long term strategy towards comprehensive health services and clinical research.
Asunto(s)
Informática Médica/organización & administración , Integración de Sistemas , Sistemas de Registros Médicos Computarizados , Programas InformáticosRESUMEN
Ten years after primary, secondary, and tertiary healthcare facilities in Crete were connected in HYGEIAnet, one of the first regional health information networks worldwide, the Twister project addressed the practical challenge of delivering integrated eHealth services to remote healthcare facilities in Crete and the south Aegean. A hybrid network infrastructure comprising terrestrial broadband, wireless, and satellite segments provided connectivity among distributed healthcare organizations. A fast-track methodology of continuous training and evaluation was used to encourage the wide adoption of EHR services in primary healthcare centers and their remote community offices, eTraining in prehospital emergency management, and medical collaboration. For the evaluation of Twister, health professionals using EHRs and citizens visiting the healthcare facilities provided their attitudes and perceptions on eHealth. Although eHealth is viewed differently by citizens and health professionals, both groups consider the EHR as an important part of the daily medical practice. However, continuous training, practical incentives, and awareness initiatives are necessary to increase the use of EHRs and the social embedding of eHealth in rural areas.