-
Something wrong with this record ?
Heart rate variability analysed by Poincaré plot in patients with metabolic syndrome
A. Kubičková, J. Kozumplík, Z. Nováková, M. Plachý, P. Jurák, J. Lipoldová,
Language English Country United States
Document type Journal Article
- MeSH
- Algorithms MeSH
- Diagnosis, Computer-Assisted MeSH
- Adult MeSH
- Electrocardiography MeSH
- Humans MeSH
- Metabolic Syndrome diagnosis physiopathology MeSH
- Oscillometry methods MeSH
- Reproducibility of Results MeSH
- Sensitivity and Specificity MeSH
- Arrhythmias, Cardiac diagnosis physiopathology MeSH
- Heart Rate * MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
INTRODUCTION: The SD1 and SD2 indexes (standard deviations in two orthogonal directions of the Poincaré plot) carry similar information to the spectral density power of the high and low frequency bands but have the advantage of easier calculation and lesser stationarity dependence. METHODS: ECG signals from metabolic syndrome (MetS) and control group patients during tilt table test under controlled breathing (20 breaths/minute) were obtained. SD1, SD2, SDRR (standard deviation of RR intervals) and RMSSD (root mean square of successive differences of RR intervals) were evaluated for 31 control group and 33 MetS subjects. RESULTS: Statistically significant lower values were observed in MetS patients in supine position (SD1: p=0.03, SD2: p=0.002, SDRR: p=0.006, RMSSD: p=0.01) and during tilt (SD2: p=0.004, SDRR: p=0.007). CONCLUSION: SD1 and SD2 combining the advantages of time and frequency domain methods, distinguish successfully between MetS and control subjects.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc17000812
- 003
- CZ-PrNML
- 005
- 20170118114618.0
- 007
- ta
- 008
- 170103s2015 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.jelectrocard.2015.11.004 $2 doi
- 024 7_
- $a 10.1016/j.jelectrocard.2015.11.004 $2 doi
- 035 __
- $a (PubMed)26639443
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Kubičková, Alena $u Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 3082/12, Královo Pole, Brno, Czech Republic. Electronic address: drkosova@phd.feec.vutbr.cz.
- 245 10
- $a Heart rate variability analysed by Poincaré plot in patients with metabolic syndrome / $c A. Kubičková, J. Kozumplík, Z. Nováková, M. Plachý, P. Jurák, J. Lipoldová,
- 520 9_
- $a INTRODUCTION: The SD1 and SD2 indexes (standard deviations in two orthogonal directions of the Poincaré plot) carry similar information to the spectral density power of the high and low frequency bands but have the advantage of easier calculation and lesser stationarity dependence. METHODS: ECG signals from metabolic syndrome (MetS) and control group patients during tilt table test under controlled breathing (20 breaths/minute) were obtained. SD1, SD2, SDRR (standard deviation of RR intervals) and RMSSD (root mean square of successive differences of RR intervals) were evaluated for 31 control group and 33 MetS subjects. RESULTS: Statistically significant lower values were observed in MetS patients in supine position (SD1: p=0.03, SD2: p=0.002, SDRR: p=0.006, RMSSD: p=0.01) and during tilt (SD2: p=0.004, SDRR: p=0.007). CONCLUSION: SD1 and SD2 combining the advantages of time and frequency domain methods, distinguish successfully between MetS and control subjects.
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a algoritmy $7 D000465
- 650 _2
- $a srdeční arytmie $x diagnóza $x patofyziologie $7 D001145
- 650 _2
- $a diagnóza počítačová $7 D003936
- 650 _2
- $a elektrokardiografie $7 D004562
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 12
- $a srdeční frekvence $7 D006339
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a metabolický syndrom $x diagnóza $x patofyziologie $7 D024821
- 650 _2
- $a oscilometrie $x metody $7 D009991
- 650 _2
- $a reprodukovatelnost výsledků $7 D015203
- 650 _2
- $a senzitivita a specificita $7 D012680
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Kozumplík, Jiří $u Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 3082/12, Královo Pole, Brno, Czech Republic.
- 700 1_
- $a Nováková, Zuzana $u Department of Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, Bohunice, Brno, Czech Republic.
- 700 1_
- $a Plachý, Martin $u Second Department of Internal Medicine, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Pekařská 53, Brno, Czech Republic.
- 700 1_
- $a Jurák, Pavel $u Institute of Scientific Instruments, Academy of Sciences of the Czech Republic, Královopolská 147, Brno, Czech Republic.
- 700 1_
- $a Lipoldová, Jolana $u First Internal Cardioangiology Clinic, St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Pekařská 53, Brno, Czech Republic.
- 773 0_
- $w MED00010003 $t Journal of electrocardiology $x 1532-8430 $g Roč. 49, č. 1 (2015), s. 23-8
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26639443 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20170103 $b ABA008
- 991 __
- $a 20170118114725 $b ABA008
- 999 __
- $a ok $b bmc $g 1179952 $s 961379
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 49 $c 1 $d 23-8 $e 20151106 $i 1532-8430 $m Journal of electrocardiology $n J Electrocardiol $x MED00010003
- LZP __
- $a Pubmed-20170103
