6th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248700,
        author={Stefan Wagner and Niels Rasmussen and Peter Ahrendt and Thomas Toftegaard and Olav Bertelsen},
        title={Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device},
        proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={7},
        keywords={blood pressure self-measurement context classification pervasive healthcare data quality},
        doi={10.4108/icst.pervasivehealth.2012.248700}
    }
    
  • Stefan Wagner
    Niels Rasmussen
    Peter Ahrendt
    Thomas Toftegaard
    Olav Bertelsen
    Year: 2012
    Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2012.248700
Stefan Wagner1,*, Niels Rasmussen1, Peter Ahrendt1, Thomas Toftegaard1, Olav Bertelsen1
  • 1: Aarhus University
*Contact email: sw@iha.dk

Abstract

Blood pressure self-measurement (BPSM) requires the patient to follow a range of recommendations. Patients must remain silent during measurements, be seated correctly with back support and legs uncrossed, and must have rested at least 5 minutes prior to taking the measurement. Current blood pressure (BP) devices cannot verify whether the patient has followed these recommendations or not. As a result, the data quality of BP measurements could be biased. We present a proof-of-concept demonstration prototype that uses audio context classification for detecting speech during the measurement process, as well as a sensor seat for measuring patient posture and activity before and during the BPSM process.