• DocumentCode
    678086
  • Title

    A Framework for Automatic Text Generation of Trends in Physiological Time Series Data

  • Author

    Banaee, Hadi ; Ahmed, Mobyen Uddin ; Loutfi, Ahmed

  • Author_Institution
    Center for Appl. Autonomous Sensor Syst. (AASS), Orebro Univ., Orebro, Sweden
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    3876
  • Lastpage
    3881
  • Abstract
    Health monitoring systems using wearable sensors have rapidly grown in the biomedical community. The main challenges in physiological data monitoring are to analyse large volumes of health measurements and to represent the acquired information. Natural language generation is an effective method to create summaries for both clinicians and patients as it can describe useful information extracted from sensor data in textual format. This paper presents a framework of a natural language generation system that provides a text-based representation of the extracted numeric information from physiological sensor signals. More specifically, a new partial trend detection algorithm is introduced to capture the particular changes and events of health parameters. The extracted information is then represented considering linguistic characterisation of numeric features. Experimental analysis was performed using a wearable sensor and demonstrates a possible output in natural language text.
  • Keywords
    biosensors; computerised monitoring; health care; information retrieval; natural language processing; text analysis; time series; automatic text generation; biomedical community; clinicians; health measurements; health monitoring systems; linguistic characterisation; natural language generation system; natural language text; numeric information extraction; partial trend detection algorithm; patients; physiological data monitoring; physiological sensor signals; physiological time series data; sensor data; text-based representation; textual format; wearable sensors; Biomedical monitoring; Data analysis; Heart rate; Market research; Natural languages; Pragmatics; Time series analysis; Health monitoring; body area networks; linguistic summarisation; natural language generation; physiological data analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.661
  • Filename
    6722414