An adaptive spatio-temporal Gaussian filter for processing cardiac optical mapping data
An adaptive spatio-temporal Gaussian filter for processing cardiac optical mapping data
复制标题
用于处理心脏光学映射数据的自适应时空高斯滤波器
DOI:
10.1016/j.compbiomed.2018.05.029
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发表时间:
2018
影响因子:
7.7
通讯作者:
G. Lenis
中科院分区:
文献类型:
--
作者:
S. Pollnow;N. Pilia;G. Schwaderlapp;A. Loewe;O. Dössel;G. Lenis
Optical mapping is widely used as a tool to investigate cardiac electrophysiology inex vivopreparations. Digital filtering of fluorescence-optical data is an important requirement for robust subsequent data analysis and still a challenge when processing data acquired from thin mammalian myocardium. Therefore, we propose and investigate the use of an adaptive spatio-temporal Gaussian filter for processing optical mapping signals from these kinds of tissue usually having low signal-to-noise ratio (SNR). We demonstrate how filtering parameters can be chosen automatically without additional user input. For systematic comparison of this filter with standard filtering methods from the literature, we generated synthetic signals representing optical recordings from atrial myocardium of a rat heart with varying SNR. Furthermore, all filter methods were applied to experimental data from anex vivosetup. Our developed filter outperformed the other filter methods regarding local activation time detection at SNRs smaller than 3 dB which are typical noise ratios expected in these signals. At higher SNRs, the proposed filter performed slightly worse than the methods from literature. In conclusion, the proposed adaptive spatio-temporal Gaussian filter is an appropriate tool for investigating fluorescence-optical data with low SNR. The spatio-temporal filter parameters were automatically adapted in contrast to the other investigated filters.
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DOI:
10.1093/europace/euw354
发表时间:
2016-12
期刊:
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
影响因子:
--
作者:
Quinn TA;Kohl P
通讯作者:
Kohl P
影响因子:
5.5
作者:
Fedorov, Vadim V.;Lozinsky, Ilya T.;Efimov, Igor R.
通讯作者:
Efimov, Igor R.
DOI:
10.1109/embc.2017.8037658
发表时间:
2017
期刊:
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
影响因子:
--
作者:
S. Pollnow;R. Arnold;M. Werber;O. Dössel;G. Seemann
通讯作者:
G. Seemann
影响因子:
37.8
作者:
Benjamin EJ;Blaha MJ;Chiuve SE;Cushman M;Das SR;Deo R;de Ferranti SD;Floyd J;Fornage M;Gillespie C;Isasi CR;Jiménez MC;Jordan LC;Judd SE;Lackland D;Lichtman JH;Lisabeth L;Liu S;Longenecker CT;Mackey RH;Matsushita K;Mozaffarian D;Mussolino ME;Nasir K;Neumar RW;Palaniappan L;Pandey DK;Thiagarajan RR;Reeves MJ;Ritchey M;Rodriguez CJ;Roth GA;Rosamond WD;Sasson C;Towfighi A;Tsao CW;Turner MB;Virani SS;Voeks JH;Willey JZ;Wilkins JT;Wu JH;Alger HM;Wong SS;Muntner P;American Heart Association Statistics Committee and Stroke Statistics Subcommittee
通讯作者:
American Heart Association Statistics Committee and Stroke Statistics Subcommittee
DOI:
--
发表时间:
1994
期刊:
Cardiovascular Electrophysiology
影响因子:
--
作者:
M. Spach;M. Josephson
通讯作者:
M. Josephson