TY  - CONF
ID  - schummbsi09
T1  - Automatic Signal Appraisal for Unobtrusive ECG Measurements
A1  - Schumm, Johannes
A1  - Axmann, Sebastian
A1  - Arnrich, Bert
A1  - Tröster, Gerhard
TI  - Proceedings of the Biosignal Interpretation Conference
Y1  - 2009
CY  - Yale University
KW  - arnrich_physio
KW  - SEAT
N2  - This paper focuses on facilitating ECG-measurements in our daily life. 
When measuring ambulatory ECG, the trade-off between signal quality and 
sensor comfort is obvious. Unobtrusive measurement systems do not achieve 
the same level of signal quality as systems using conventional wet ECG electrodes. 
To enable automatic ECG analyses, a continuous appraisal of the signal quality 
is essential. The presented work describes a method to transform the problem 
of appraising the quality of an ECG signal into a two-class classification problem. 
We therefore define an appropriate quality label and train a logistic regression model 
to predict the signal quality of an ECG signal. We show the working principle 
using a contactless ECG system incorporated into an airplane seat. 
The system is evaluated with twelve subjects performing airplane passenger activities. 
A correct signal quality appraisal rate of 92% is achieved in a leave-one-person-out 
cross-validation.
ER  -