[1]Morris S A,Slesnick T C.Magnetic resonance imaging[J].Visual Guide to Neonatal Cardiology,2018,16(4):104-108. [2]Peric S,Ruzica M,Bojan B,et al.Magnetic resonance imaging of leg muscles in patients with myotonic dystrophies[J].Journal of Neurology,2017,264(9):1899-1908. [3]Zaitoun N M,Aqel M J.Survey on image segmentation techniques[J].Procedia Computer Science,2015,65:797-806. [4]Mavrovouniotis M,Li C,Yang S.A survey of swarm intelligence for dynamic optimization:algorithms and applications[J].Swarm and Evolutionary Computation,2017,33:1-17. [5]Khairuzzaman A K M,Chaudhury S.Moth-flame optimization algorithm based multilevel thresholding for image segmentation[J].International Journal of Applied Metaheuristic Computing,2017,8(4):58-83. [6]Mirjalili S.Moth-flame optimization algorithm:a novel nature-inspired heuristic paradigm[J].Knowledge-Based Systems,2015,89:228-249. [7]Davis J,Davis L.A hybrid physical and maximum-entropy landslide susceptibility model[J].Entropy,2015,17(6):4271-4282. [8]Liu Q,Jiang Z,Shi H.Maximum entropy image segmentation method based on improved firefly algorithm[C]//Journal of Physics:Conference Series.Guilin:IOP Publishing Ltd,2019,1213:032023. [9]王坚浩,张亮,史超,等.基于混沌搜索策略的鲸鱼优化算法[J].控制与决策,2018,33(7):1-8.(Wang Jian-hao,Zhang Liang,Shi Chao,et al.Whale optimization algorithm based on chaotic search strategy[J].Control and Decision,2018,33(7):1-8.) [10]Dai C,Chen W,Song Y,et al.Seeker optimization algorithm:a novel stochastic search algorithm for global numerical optimization[J].Journal of Systems Engineering and Electronics,2010,21(2):300-311. [11]Kevin M P.Bacterial foraging optimization[J].International Journal of Swarm Intelligence Research,2010,1(1):1-16. [12]Muangkote N,Sunat K,Chiewchanwattana S.Multilevel thresholding for satellite image segmentation with moth-flame based optimization[C]//13th International Joint Conference on Computer Science and Software Engineering.Khon Kaen:IEEE,2016:1-6. [15]关守平,房少纯.一种新型的区间-粒子群优化算法[J].东北大学学报(自然科学版),2012,33(10):1381-1384.(Guan Shou-ping,Fang Shao-chun.A new interval particle swarm optimization algorithm[J].Journal of Northeastern University(Natural Science),2012,33(10):1381-1384.)(上接第325页) [2]Luz E,Nunes T M,de Albuquerque V H,et al.ECG arrhythmia classification based on optimum-path forest[J].Expert Systems with Applications,2013,40(9):3561-3573. [3]Zhai X,Tin C.Automated ECG classification using dual heartbeat coupling based on convolutional neural network[J].IEEE Access,2018(99):27465-27472. [4]Xia Y,Gao Z,Zhang H,et al.An automatic cardiac arrhythmia classification system with wearable electrocardiogram[J].IEEE Access,2018(6):16529-16538. [5]Wu Z,Ding X,Zhang G.A novel method for classification of ECG arrhythmias using deep belief networks[J].International Journal of Computational Intelligence and Applications,2016,15(4):1650021. [6]庞宇,邓璐,林金朝,等.基于形态滤波的心电信号去除基线漂移方法[J].物理学报,2014,63(9):428-433.(Pang Yu,Deng Lu,Lin Jin-zhao,et al.A method of removing baseline drift in ECG signal based on morphological filtering[J].Acta Physica Sinica,2014,63(9):428-433.) [7]Martinez J P,Almeida R,Olmos S,et al.A wavelet-based ECG delineator:evaluation on standard databases[J].IEEE Transactions on Biomedical Engineering,2004,51(4):570-581. [8]Sajjan M.Learn ECG in a day:a systematic approach[M].New Delhi:Jaypee Brothers Pvt Ltd,2013. [9]Kiranyaz S,Ince T,Gabbouj M,et al.Real-time patient-specific ECG classification by 1D convolutional neural networks[J].IEEE Transactions on Biomedical Engineering,2015,63(3):664-675. [10]Jun T J,Nguyen H M,Kang D,et al.ECG arrhythmia classification using a 2-D convolutional neural network[J].arXiv Preprint arXiv,2018:1804.06812. [15]关守平,房少纯.一种新型的区间-粒子群优化算法[J].东北大学学报(自然科学版),2012,33(10):1381-1384.(Guan Shou-ping,Fang Shao-chun.A new interval particle swarm optimization algorithm[J].Journal of Northeastern University(Natural Science),2012,33(10):1381-1384.)