CardioViz: Contextual Capture and Visualization for Long-term ECG Data.

In: Adjunct Proceedings of Ubicomp 2007
(2007)
Buchaufsatz / Kapitel / Fach: Informatik; Wirtschaftswissenschaften
Abstract:
In the project CardioViz we explore a novel system for long-term Electrocardiogram
(ECG) monitoring. In contrast to conventional ECG monitoring, the
system additionally provides means to capture contextual information, such as
activity, location and photos. We investigate how contextual information can be
helpful when assessing long term ECG data and when relating anomalies to
certain real-world situations. We assume that contextual information correlated
over time with the ECG data allows for a better understanding. In the prototype
we show the ECG signal together with photos and notes overlayed on a map. It
seems that by these hints users can more easily remember where they were and
hence what situation might be related to a specific period in the ECG.
CardioViz consists of a mobile phone based client application and web based
backend. The client application uses the sensors in the phone (e.g. camera) as
well as further sensors (ECG, Accelerometer, GPS) connected via Bluetooth.

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