Design of Digital Hardware System for Pulse Signals
Journal of Medical Systems
Efficient Retrieval of Similar Time Sequences Under Time Warping
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the marriage of Lp-norms and edit distance
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A framework for automatic time-domain characteristic parameters extraction of human pulse signals
EURASIP Journal on Advances in Signal Processing
On kernel difference-weighted k-nearest neighbor classification
Pattern Analysis & Applications - Special Issue: Non-parametric distance-based classification techniques and their applications
Pulse images recognition using fuzzy neural network
Expert Systems with Applications: An International Journal
Approximate entropy based pulse variability analysis
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
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Although the great progress in sensor and signal processing techniques have provided effective tools for quantitative research into traditional Chinese pulse diagnosis, the automatic classification of pulse waveform is remained a difficult problem. In order to address this issue, we propose a novel edit distance with real penalty-based k-nearest neighbor classifier by referring to recent progress in time series matching and KNN classifier. Taking advantage of the metric property of ERP, we develop an ERP-induced inner product operator and then embed it into difference-weighted KNN classifier. Experimental results show that the proposed classifier is more accurate than comparable pulse waveform classification approaches.