Personal Health System architecture for stress monitoring and support to clinical decisions

Andrea Gaggioli, Gennaro Tartarisco, Giovanni Baldus, Daniele Corda, Rossella Raso, Antonino Arnao, Marcello Ferro, Giovanni Pioggia

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

54 Citazioni (Scopus)

Abstract

Developments in computational techniques including clinical decision support systems, information processing, wireless communication and data mining hold new premises in Personal Health Systems. Pervasive Healthcare system architecture finds today an effective application and represents in perspective a real technological breakthrough promoting a paradigm shift from diagnosis and treatment of patients based on symptoms to diagnosis and treatment based on risk assessment. Such architectures must be able to collect and manage a large quantity of data supporting the physicians in their decision process through a continuous pervasive remote monitoring model aimed to enhance the understanding of the dynamic disease evolution and personal risk. In this work an automatic simple, compact, wireless, personalized and cost efficient pervasive architecture for the evaluation of the stress state of individual subjects suitable for prolonged stress monitoring during normal activity is described. A novel integrated processing approach based on an autoregressive model, artificial neural networks and fuzzy logic modeling allows stress conditions to be automatically identified with a mobile setting analysing features of the electrocardiographic signals and human motion. The performances of the reported architecture were assessed in terms of classification of stress conditions.
Lingua originaleEnglish
pagine (da-a)1296-1305
Numero di pagine10
RivistaComputer Communications
Volume35
DOI
Stato di pubblicazionePubblicato - 2012

Keywords

  • decision support system
  • stress

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