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Capturing, Analysing, and Managing ECG Sensor Data in Handheld Devices

  • Conference paper
On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE (OTM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2888))

Abstract

The new advances in sensor technology, PDAs and wireless communication favour the development of monitoring systems. In this context we have developed MOLEC, a system that monitors people that suffer from heart arrhythmias. It carries out three tasks: a) it captures the digital data sent by different sensors and transforms them into a concrete format; b) it analyses the ECG data sent by the PDA sensors to locally detect anomalous situations as soon as possible; c) it manages ECG data in the following way: 1) normal ECG data are stored in files and are sent compressed to a hospital, within a certain time granularity; and 2) when anomalous ECG data are identified an alarm is sent to the hospital; and also these anomalous ECG are stored at the PDA database. Data in that database can be queried, locally or remotely, in order to know different aspects that can be related to anomalous situations.

This work was mainly supported by the University of the Basque Country, Diputación Foral de Gipuzkoa and the CICYT: Comisión Interministerial de Ciencias y Tecnología, Spain [TIC2001-0660].

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© 2003 Springer-Verlag Berlin Heidelberg

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Rodríguez, J., Goñi, A., Illarramendi, A. (2003). Capturing, Analysing, and Managing ECG Sensor Data in Handheld Devices. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds) On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. OTM 2003. Lecture Notes in Computer Science, vol 2888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39964-3_73

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  • DOI: https://doi.org/10.1007/978-3-540-39964-3_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20498-5

  • Online ISBN: 978-3-540-39964-3

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