Investigation on Pulse Wave Forward Peak Detection and Its Applications in Cardiovascular Health

Lin Wanhua, Dingchang Zheng, Guanglin Li, Fei Chen, Hui Zhou

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


OBJECTIVE: The contours of the pulse wave vary greatly, which affect the accuracy of pulse wave peak detection and the reliability of subsequent peak-based cardiovascular health analyses. We proposed an algorithm to reliably detect the peak of forward pulse wave (forward peak) and proposed to use it for improving the accuracy in cardiovascular health analysis.

METHODS: A method based on Gaussian fitting was proposed to detect the forward peak. Then, the forward peak was utilized for instantaneous heart rate (HR), heart rate variability (HRV), and augmentation index (a cardiovascular risk marker reflecting arterial stiffness) estimations. The accuracy of HR/HRV obtained by forward peak was compared with that obtained by other photoplethymogram (PPG) characteristic points previously reported, using electrocardiogram-derived HR/HRV as gold standard. The correlation between augmentation index and age was calculated. The performance was verified using PPG-based pulse wave data with different contours while they were recorded at different locations from subjects with a wide range of age.

RESULTS: The proposed forward peak detection method had smaller estimation error when compared with the gold standard, than other PPG characteristic points in estimating HR/HRV. The augmentation index extracted from the proposed forward peak method was significantly correlated with age (p < 0.01).

CONCLUSIONS: The proposed algorithm can relatively reliably detect the forward peak and has a wide application prospect in cardiovascular health.

SIGNIFICANCE: Due to the convenience of PPG measurements, this proposed forward peak detection method has the potential to be widely used in the fields of wearable devices and telemedicine.

Original languageEnglish
Pages (from-to)700-709
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Issue number2
Early online date10 Aug 2021
Publication statusPublished - 1 Feb 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:


  • Augmentation index
  • Ear
  • Elasticity
  • Electrocardiography
  • Fingers
  • Gaussian fitting
  • Heart rate variability
  • Indexes
  • Reliability
  • forward peak detection
  • heart rate (HR)
  • heart rate variability (HRV)

ASJC Scopus subject areas

  • Biomedical Engineering


Dive into the research topics of 'Investigation on Pulse Wave Forward Peak Detection and Its Applications in Cardiovascular Health'. Together they form a unique fingerprint.

Cite this