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Wrist Pulse Signal Features Extraction: Virtual Instrumentation

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 479)

Abstract

Wrist Pulse Signal (Pulse Diagnosis) has successfully established an influential impact all over the world for promoting health conditions. With the increase in belief of traditional pulse diagnosis method, the need of computer-generated pulse signal waveforms for wrist pulse analysis has become an essential stage. The paper focuses primarily on the traditional feature extraction method for the study and analysis of pulse waveforms by means of virtual instrumentation (VI). The authors presented a first derivative method to obtain various time domain features using VI’s. Digital Signal Processing techniques have been implemented and processed successfully to extract justifiable and valuable features from the wrist pulse waveforms.

Keywords

  • Derivative method
  • Digital signal processing
  • LabVIEW
  • Pulse diagnosis
  • Time domain features

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  • DOI: 10.1007/978-981-10-1708-7_14
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Correspondence to Nidhi Garg .

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Nidhi Garg, Ramandeep Kaur, Harry Garg, Ryait, H.S., Amod Kumar (2017). Wrist Pulse Signal Features Extraction: Virtual Instrumentation. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_14

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  • DOI: https://doi.org/10.1007/978-981-10-1708-7_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1707-0

  • Online ISBN: 978-981-10-1708-7

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