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Context classification during blood pressure self-measurement using the sensor seat and the audio classification device

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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.
TitelThe 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops
Antal sider2
ForlagICST, The Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Sider201 - 202
ISBN (trykt)978-1-4673-1483-1
ISBN (Elektronisk)978-1-936968-43-5
StatusUdgivet - 2012
BegivenhedInternational Conference on Pervasive Computing Technologies for Healthcare - San Diego, USA
Varighed: 21 maj 201224 maj 2012
Konferencens nummer: 6


KonferenceInternational Conference on Pervasive Computing Technologies for Healthcare
BySan Diego

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