@inproceedings{2ba40681f85b41d0be8f19cc7a0fabd8,
title = "Recognizing wrist pulse waveforms with improved dynamic time warping algorithm",
abstract = "This paper proposes an improved DTW algorithm to recognize pulse waveform. Our approach avoids the pathologic alignment that can be caused by original DTW algorithm and DDTW algorithm. Extensive experiments on 1000 pulse waveforms demonstrate the effect of our approach. Compared with original DTW and DDTW algorithms, our algorithm reduces the FRR and FAR greatly. By calculating the similarities between the pulse sample and the five pulse templates, our approach has 92.3\% agreement rate with expert.",
keywords = "DDTW, DTW, Pulse waveform",
author = "Lu Wang and Wang, \{Kuan Quan\} and Xu, \{Li Sheng\}",
year = "2004",
doi = "10.1109/ICMLC.2004.1380435",
language = "英语",
isbn = "0780384032",
series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3644--3649",
booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
address = "美国",
note = "3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004 ; Conference date: 26-08-2004 Through 29-08-2004",
}