Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition
| Autor: | Peter Jönsson, Rachele Anderson, Maria Sandsten |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Computer science Speech recognition Metronome law.invention 03 medical and health sciences Young Adult 0302 clinical medicine Data acquisition Respiratory Rate law Heart Rate Heart rate Chirp Heart rate variability Humans 0501 psychology and cognitive sciences 050102 behavioral science & comparative psychology Data Collection Respiration 05 social sciences Middle Aged Time–frequency analysis Spectrogram Periodogram Female 030217 neurology & neurosurgery |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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