Wrist Pulse Signal Features Extraction: Virtual Instrumentation
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-1708-7_14
Reference16 articles.
1. Lad, V.D.: Secrets of the Pulse: The ancient art of Ayurvedic pulse diagnosis. Motilal Banarsidass, Delhi (2005).
2. Kaur, R., Chopra, M., Garg, N., Ryait, H.S.: Role of pulse diagnosis: A review. In: International Conference on Computing, Communication & Automation. pp. 152–155. IEEE (2015).
3. Deepa, N., Ganesh, A.B.: Optical Sensor for Indian Siddha Diagnosis System. Procedia Eng. 38, 1126–1131 (2012).
4. Xia, C., Li, Y., Yan, J., Wang, Y., Yan, H., Guo, R., Li, F.: Wrist Pulse Waveform Feature Extraction and Dimension Reduction with Feature Variability Analysis. In: 2008 2nd International Conference on Bioinformatics and Biomedical Engineering. pp. 2048–2051. IEEE (2008).
5. Calisto, A., Galeano, M., Serrano, S., Calisto, A., Azzerboni, B.: A new approach for investigating intracranial pressure signal: filtering and morphological features extraction from continuous recording. IEEE Trans. Biomed. Eng. 60, 830–837 (2013).
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