title: Ambient intelligence for monitoring and research in clinical neurophysiology and medicine: the MIMERICA* project and prototype.
abstract: Ambient Intelligence (AmI) provides extended but unobtrusive sensing and computing devices and ubiquitous networking for human/environment interaction. It is a new paradigm in information technology compliant with the international Integrating Healthcare Enterprise board (IHE) and eHealth HL7 technological standards in the functional integration of biomedical domotics and informatics in hospital and home care. AmI allows real-time automatic recording of biological/medical information and environmental data. It is extensively applicable to patient monitoring, medicine and neuroscience research, which require large biomedical data sets; for example, in the study of spontaneous or condition-dependent variability or chronobiology. In this respect, AML is equivalent to a traditional laboratory for data collection and processing, with minimal dedicated equipment, staff, and costs; it benefits from the integration of artificial intelligence technology with traditional/innovative sensors to monitor clinical or functional parameters. A prototype AmI platform (MIMERICA*) has been implemented and is operated in a semi-intensive unit for the vegetative and minimally conscious states, to investigate the spontaneous or environment-related fluctuations of physiological parameters in these conditions.
authors.affiliation: S. Anna Institute and RAN, Research in Advanced Neurorehabilitation, Crotone, Italy.
authors.forename: L
authors.initials: L
authors.lastname: Pignolo
authors.forename: F
authors.initials: F
authors.lastname: Riganello
authors.forename: G
authors.initials: G
authors.lastname: Dolce
authors.forename: W G
authors.initials: WG
authors.lastname: Sannita
mesh_terms: D001185:Artificial Intelligence; D003199:Computer Systems; D003625:Data Collection / Q000379:methods; D003936:Diagnosis, Computer-Assisted; D004784:Environmental Monitoring / Q000295:instrumentation*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009482:Neurophysiology / Q000295:instrumentation*; D012984:Software; D018511:Systems Integration; D013813:Therapy, Computer-Assisted; D014584:User-Computer Interface
keywords: artificial intelligence; environment; individual variability; minimally conscious state; monitoring; nonneuronal factors; sensors; vegetative state