@inproceedings{f9c8bea3f6174b1eab329ce991f8cb2a,
title = "Comparison of Time Domain Methods for Alignment of RR Signals Acquired by Different Sensor Systems",
abstract = "This paper compares three different methods for signal alignment called dynamic time warping (DTW), modified dynamic time warping (mDTW) and cross-correlation (CC). RR signals from two different sensor systems, a commercial Wellness Wearable System (Smartex, Italy) and custom-made BACQ system with multi-electrode array (Tecnalia, Sebia) are aligned by DTW, mDTW and CC. Several metrics such as correlation coefficient, reliability, root mean square method and Bland-Altman plots are calculated in order to show the performance of these three methods. All measures indicate that mDTW outperforms other methods. In addition, only mDTW successfully trimmed the beginning and the end of longer signal to match the short one.",
keywords = "Dynamic Time Warping, ECG, RR interval, alignment, cross-correlation",
author = "Tanja Boljani{\'c} and Jovana Male{\v s}evi{\'c} and Sanja Vujnovi{\'c} and Jankovi{\'c}, {Milica M.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023 ; Conference date: 05-06-2023 Through 08-06-2023",
year = "2023",
doi = "10.1109/IcETRAN59631.2023.10192223",
language = "English",
series = "Proceedings - 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023",
address = "United States",
}