Abstract
A healthy heart exhibits fractal, i.e., long-range correlated fluctuations in heart rate variability (HRV). It is recently shown that fractal dynamics is also an intrinsic feature of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). In this study, we investigate short- and long-range correlations in beat rate variability (BRV) of hiPSC-CMs, obtained from a healthy subject and symptomatic and asymptomatic long QT syndrome patients. It is shown that it is important to distinguish correlation properties in short and long time scales, as the scaling exponents are significantly different and also behave differently in the acute exposure to pharmacological compounds that modulate β1-adrenoreceptors and cardiac ion channel generating delayed, outwardly rectifying K+ current (IKs). While long-range scaling is sensitive to the drug exposure, short-range scaling is barely affected.
| Original language | English |
|---|---|
| Title of host publication | Computing in Cardiology 2017 |
| Editors | C Pickett, C Corsi, P Laguna, R MacLeod |
| Pages | 1-4 |
| Number of pages | 4 |
| Volume | 44 |
| DOIs | |
| Publication status | Published - 2017 |
| Publication type | A4 Article in conference proceedings |
| Event | COMPUTING IN CARDIOLOGY CONFERENCE - Duration: 1 Jan 2017 → … |
Publication series
| Name | Computing in Cardiology |
|---|---|
| ISSN (Print) | 2325-8861 |
Conference
| Conference | COMPUTING IN CARDIOLOGY CONFERENCE |
|---|---|
| Period | 1/01/17 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Publication forum classification
- Publication forum level 1
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