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Application of Pulse Wave Analysis in a Personal Health Monitoring Device

[+] Author Affiliations
Len Malinin

Gen3 Partners, Boston, MA

Valery Naumov

Pulstream, St. Petersburg, Russia

Paper No. IMECE2012-87033, pp. 79-81; 3 pages
  • ASME 2012 International Mechanical Engineering Congress and Exposition
  • Volume 2: Biomedical and Biotechnology
  • Houston, Texas, USA, November 9–15, 2012
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4518-9
  • Copyright © 2012 by ASME


Pulse wave (PW) is a physiological event, observable and measurable in the arterial system during blood circulation. One of characteristics that can be determined from a PW record is heart rate variability (HRV), an indication of beat-to-beat alterations in the heart rate. HRV is an accurate and reliable reflection of several physiological factors modulating the normal rhythm of the heart. HRV has escalated in use as an important diagnostic tool which indicates the balance between sympathetic and parasympathetic branches of the autonomous nervous system (ANS) and the synchronization between them. HRV patterns are also sensitive to changes in emotional state and can be used to distinguish positive and negative emotions. However, HRV is just one of characteristics that can be extracted from a good quality pulse wave record. Other characteristics of the PW in the time and frequency domains can serve as an indication of the status of a cardio-vascular system.

Modern personal health monitoring tools, which use data processing capability of smartphones and personal computers, make daily or even continuous HRV analysis available for users who are affected by sedentary life style, high stress, and fatigue. The practical application of the PW monitoring requires, besides software and electronic, selection of clinically meaningful characteristics of the pulse wave and communicating them to a non-medical user. For this purpose, it is proposed to use, in addition to HRV, to use the characteristics based on duration of the four phases of the pulse wave, and compare them with the baseline level obtained for the same user under non-stressed conditions. Deviations from the baseline are presented to the user. Correlation of these readings with objective parameters of the cardio-vascular system is supported by clinical data.

Copyright © 2012 by ASME
Topics: Waves



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