Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

1 Citering (SciVal)


In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with slowly increasing frequency, allows for the acquisition of respiratory-related HRV-data covering the frequency range in which adults breathe in different everyday situations. We discuss how the use of a time-frequency representation, e.g. the spectrogram or the Wigner-Ville distribution, should be preferred to the traditional use of the periodogram, due to the non-stationarity of the data. We argue that this approach can highlight the correlation of spectral measures such as low-frequency and high-frequency HRV with relevant factors as age, gender and Body-Mass-Index, thanks to the improved quality of the spectral measures.

Sidor (från-till)510-513
Antal sidor4
TidskriftAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatusPublished - 2018 juli

Ämnesklassifikation (UKÄ)

  • Teknik och teknologier
  • Naturvetenskap
  • Medicin och hälsovetenskap


Utforska forskningsämnen för ”Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här