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@ARTICLE{Schumm_Quality_Appraisal_of_an_ECG_Signal_Measured_in_an_Airplane_Seat_2011,
    author = {Schumm, Johannes and Arnrich, Bert and Tr{\"{o}}ster, Gerhard},
  keywords = {arnrich_physio},
     title = {Quality Appraisal of an ECG Signal Measured in an Airplane Seat},
   journal = {Accepted for IEEE Pervasive Computing Journal},
      year = {2011},
       doi = {10.1109/MPRV.2011.40},
  abstract = {Nowadays, approximately 1.5 to 2 billion passengers travel with commercial airlines each year [1]. During those flights, 10 to 40 percent of all passengers in industrial countries experience a certain degree of fear of flying [2]. Thus, a significant amount of airplane passengers would benefit from assistive support during a flight. The European SEAT project aims to provide this support by detecting the passengers’ well-being. One aspect of the project is the development of unobtrusive sensor technology and algorithms for an ECG monitoring in the airplane seat. To promote acceptance and usage of the ECG monitoring, we integrated a contactless ECG system in an airplane seat. However, movements of the passenger disturb the ECG signal. To systematically analyze these disturbances, we performed a user study investigating the influence of airplane passengers’ activities on the quality of the ECG signal. The results show that the signal quality of the contactless ECG system decreases during activities such as ”eating” or ”working”. This motivates the presentation of a novel method to automatically appraise the quality of ECG signals. Our method transforms the signal appraisal into a binary classification task and is able to predict the signal quality with an accuracy of 91\%.}
}