Quantitative analysis of circadian variation in atrial fibrillation frequency

Frida Sandberg; Andreas Bollman; Daniela Husser; Martin Stridh; Leif Sörnmo

Quantitative analysis of circadian variation in atrial fibrillation frequency

Frida Sandberg, Andreas Bollman, Daniela Husser, Martin Stridh, Leif Sörnmo

Institutionen för elektro- och informationsteknik

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

Circadian variation in atrial fibrillation (AF) frequency
is explored in this paper by employing recent advances in
signal processing. Once the AF frequency has been estimated
and tracked by a hidden Markov model approach,
the resulting trend is analyzed for the purpose of detecting
and characterizing the presence of circadian variation.
With cosinor analysis, the results show that the shortterm
variations in AF frequency exceeds the variation that
may be attributed to circadian. Using the autocorrelation
method, circadian variation was detected in 13 of 18
ambulatory ECG recordings (Holter) acquired from patients
with long standing persistent AF. Using the ensemble
correlation method, the highest AF frequency usually occurred
during the afternoon, whereas the lowest usually
occurred during late night. It is concluded that circadian
variation is present in most patients with long standing
persistent AF but the short-term variation in AF frequency
is considerable.

Originalspråk	engelska
Titel på värdpublikation	[Host publication title missing]
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	129-132
Volym	36
Status	Published - 2009
Evenemang	36th Annual Computers in Cardiology Conference, 2009 - Pk City, UT, Park City, UT, USA Varaktighet: 2009 sep. 13 → 2009 sep. 16 Konferensnummer: 36

Publikationsserier

Namn
Volym	36

Konferens

Konferens	36th Annual Computers in Cardiology Conference, 2009
Förkortad titel	CinC 2009
Land/Territorium	USA
Ort	Park City, UT
Period	2009/09/13 → 2009/09/16

Ämnesklassifikation (UKÄ)

Elektroteknik och elektronik

Tillgång till dokument

http://www.cinc.org/archives/2009/pdf/0129.pdf

Citera det här

@inproceedings{f4cd95faa1754a0aac19cbd0f8968076,

title = "Quantitative analysis of circadian variation in atrial fibrillation frequency",

abstract = "Circadian variation in atrial fibrillation (AF) frequency is explored in this paper by employing recent advances in signal processing. Once the AF frequency has been estimated and tracked by a hidden Markov model approach, the resulting trend is analyzed for the purpose of detecting and characterizing the presence of circadian variation. With cosinor analysis, the results show that the shortterm variations in AF frequency exceeds the variation that may be attributed to circadian. Using the autocorrelation method, circadian variation was detected in 13 of 18 ambulatory ECG recordings (Holter) acquired from patients with long standing persistent AF. Using the ensemble correlation method, the highest AF frequency usually occurred during the afternoon, whereas the lowest usually occurred during late night. It is concluded that circadian variation is present in most patients with long standing persistent AF but the short-term variation in AF frequency is considerable.",

author = "Frida Sandberg and Andreas Bollman and Daniela Husser and Martin Stridh and Leif S{\"o}rnmo",

year = "2009",

language = "English",

volume = "36",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

pages = "129--132",

booktitle = "[Host publication title missing]",

address = "United States",

note = "36th Annual Computers in Cardiology Conference, 2009, CinC 2009 ; Conference date: 13-09-2009 Through 16-09-2009",

}

Sandberg, F, Bollman, A, Husser, D, Stridh, M & Sörnmo, L 2009, Quantitative analysis of circadian variation in atrial fibrillation frequency. i [Host publication title missing]. vol. 36, IEEE - Institute of Electrical and Electronics Engineers Inc., s. 129-132, 36th Annual Computers in Cardiology Conference, 2009, Park City, UT, USA, 2009/09/13. <http://www.cinc.org/archives/2009/pdf/0129.pdf>

Quantitative analysis of circadian variation in atrial fibrillation frequency. / Sandberg, Frida; Bollman, Andreas; Husser, Daniela et al.
[Host publication title missing]. Vol. 36 IEEE - Institute of Electrical and Electronics Engineers Inc., 2009. s. 129-132.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Quantitative analysis of circadian variation in atrial fibrillation frequency

AU - Sandberg, Frida

AU - Bollman, Andreas

AU - Husser, Daniela

AU - Stridh, Martin

AU - Sörnmo, Leif

N1 - Conference code: 36

PY - 2009

Y1 - 2009

N2 - Circadian variation in atrial fibrillation (AF) frequency is explored in this paper by employing recent advances in signal processing. Once the AF frequency has been estimated and tracked by a hidden Markov model approach, the resulting trend is analyzed for the purpose of detecting and characterizing the presence of circadian variation. With cosinor analysis, the results show that the shortterm variations in AF frequency exceeds the variation that may be attributed to circadian. Using the autocorrelation method, circadian variation was detected in 13 of 18 ambulatory ECG recordings (Holter) acquired from patients with long standing persistent AF. Using the ensemble correlation method, the highest AF frequency usually occurred during the afternoon, whereas the lowest usually occurred during late night. It is concluded that circadian variation is present in most patients with long standing persistent AF but the short-term variation in AF frequency is considerable.

AB - Circadian variation in atrial fibrillation (AF) frequency is explored in this paper by employing recent advances in signal processing. Once the AF frequency has been estimated and tracked by a hidden Markov model approach, the resulting trend is analyzed for the purpose of detecting and characterizing the presence of circadian variation. With cosinor analysis, the results show that the shortterm variations in AF frequency exceeds the variation that may be attributed to circadian. Using the autocorrelation method, circadian variation was detected in 13 of 18 ambulatory ECG recordings (Holter) acquired from patients with long standing persistent AF. Using the ensemble correlation method, the highest AF frequency usually occurred during the afternoon, whereas the lowest usually occurred during late night. It is concluded that circadian variation is present in most patients with long standing persistent AF but the short-term variation in AF frequency is considerable.

M3 - Paper in conference proceeding

VL - 36

SP - 129

EP - 132

BT - [Host publication title missing]

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th Annual Computers in Cardiology Conference, 2009

Y2 - 13 September 2009 through 16 September 2009

ER -

Quantitative analysis of circadian variation in atrial fibrillation frequency

Sammanfattning

Publikationsserier

Konferens

Ämnesklassifikation (UKÄ)

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