Investigations in preventive and occupational medicine are often based on the acquisition of data in the customer's daily routine. This requires convenient measurement solutions including physiological, psychological, physical, and sometimes emotional parameters. In this paper, the introduction of a decentralized multi-sensor-fusion approach for a preventive health-management system is described. The aim is the provision of a flexible mobile data-collection platform, which can be used in many different health-care related applications. Different heterogeneous data sources can be integrated and measured data are prepared and transferred to a superordinated data-science-oriented cloud-solution. The presented novel approach focuses on the integration and fusion of different mobile data sources on a mobile data collection system (mDCS). This includes directly coupled wireless sensor devices, indirectly coupled devices offering the datasets via vendor-specific cloud solutions (as e.g., Fitbit, San Francisco, USA and Nokia, Espoo, Finland) and questionnaires to acquire subjective and objective parameters. The mDCS functions as a user-specific interface adapter and data concentrator decentralized from a data-science-oriented processing cloud. A low-level data fusion in the mDCS includes the synchronization of the data sources, the individual selection of required data sets and the execution of pre-processing procedures. Thus, the mDCS increases the availability of the processing cloud and in consequence also of the higher level data-fusion procedures. The developed system can be easily adapted to changing health-care applications by using different sensor combinations. The complex processing for data analysis can be supported and intervention measures can be provided.
Zu der Arbeit von J. W. Mc Nee in Nr. 21, S. 995, dieser Wochenschrift über den Cholestearingehait der Galle während der Schwangerschaft bemerken wir, daß die Resultate unserer jahrelangen Studien in einer Publikation mitgeteilt wurden, die frillier erschienen ist als die auf denselben Gegenstand beziigliche Arbeit von A. Chauffard, Guy Laroche et A. Grigaut1). Das geht übrigens auch daraus hervor, daß diese Autoren in ihrer Originalabhandhrng sich bereits auf unsere Publikation beziehen2). Obwohl es sich nun offenbar um eine von der unsrigen unabhängige Untersuchung desselben Gegenstandes handelt, kann es anderseits doch keinem Zweifel unterliegen, daß der Nachweis einer für die Gravidität typischen Lipoidämie zum erstenmale durch uns in der Literatur niedergelegt wurde.Dieses Dokument wurde zum persönlichen Gebrauch heruntergeladen. Vervielfältigung nur mit Zustimmung des Verlages.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.