Udskriv Udskriv
Switch language
Rigshospitalet - en del af Københavns Universitetshospital

Characterization of Blood Pressure and Heart Rate Oscillations in POTS Patients via Uniform Phase Empirical Mode Decomposition

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review


  1. EMGTools, an adaptive and versatile tool for detailed EMG analysis

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Early orthostatic exercise in patients with severe traumatic or acquired brain injury

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  2. Investigating the aetiology of adverse events following HPV vaccination with systems vaccinology

    Publikation: Bidrag til tidsskriftReviewForskningpeer review

  3. A model-based analysis of autonomic nervous function in response to the Valsalva maneuver

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

OBJECTIVE: Postural Orthostatic Tachycardia Syndrome (POTS) is associated with the onset of tachycardia upon postural change. The current diagnosis involves the measurement of heart rate (HR) and blood pressure (BP) during head-up tilt (HUT) or active standing test. A positive diagnosis is made if HR changes with more than 30 bpm (40 bpm in patients aged 12-19 years), ignoring all of the BP and most of the HR signals. This study examines 0.1 Hz oscillations in systolic arterial blood pressure (SBP) and HR signals providing additional metrics characterizing the dynamics of the baroreflex.

METHODS: We analyze data from 28 control subjects and 28 POTS patients who underwent HUT. We extract beat-to-beat HR and SBP during a 10 min interval including 5 minutes of baseline and 5 minutes of HUT. We employ Uniform Phase Empirical Mode Decomposition (UPEMD) to extract 0.1 Hz stationary modes from both signals and use random forest machine learning and k-means clustering to analyze the outcomes. Results show that the amplitude of the 0.1 Hz oscillations is higher in POTS patients and that the phase response between the two signals is shorter (p < 0.005).

CONCLUSION: POTS is associated with an increase in the amplitude of SBP and HR 0.1 Hz oscillation and a shortening of the phase between the two signals.

SIGNIFICANCE: The 0.1 Hz phase response and oscillation amplitude metrics provide new markers that can improve POTS diagnostic augmenting the existing diagnosis protocol only analyzing the change in heart rate.

TidsskriftIEEE transactions on bio-medical engineering
Udgave nummer11
Sider (fra-til)3016-3025
Antal sider10
StatusUdgivet - nov. 2020

ID: 59472917