{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T16:10:33Z","timestamp":1778947833279,"version":"3.51.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T00:00:00Z","timestamp":1710201600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T00:00:00Z","timestamp":1710201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Project No. 62171369"],"award-info":[{"award-number":["Project No. 62171369"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s00034-024-02624-2","type":"journal-article","created":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T06:43:26Z","timestamp":1710225806000},"page":"3697-3717","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Automatic Threshold OMP Algorithm Based on QR Decomposition for Magnetic Resonance Image Reconstruction"],"prefix":"10.1007","volume":"43","author":[{"given":"Yi-Yang","family":"Ni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei-Yun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui-Zhong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,12]]},"reference":[{"key":"2624_CR1","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1109\/TCI.2023.3263810","volume":"9","author":"S Babu","year":"2023","unstructured":"S. Babu, S.G. Lingala, N. Vaswani, Fast low rank column-wise compressive sensing for accelerated dynamic MRI. IEEE Trans. Comput. Imaging 9, 409\u2013424 (2023)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"7","key":"2624_CR2","doi-asserted-by":"publisher","first-page":"4680","DOI":"10.1109\/TIT.2011.2146090","volume":"57","author":"TT Cai","year":"2011","unstructured":"T.T. Cai, L. Wang, Orthogonal matching pursuit for sparse signal recovery with noise. IEEE Trans. Inf. Theory 57(7), 4680\u20134688 (2011)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"4","key":"2624_CR3","doi-asserted-by":"publisher","first-page":"2405","DOI":"10.1109\/TSP.2009.2038959","volume":"58","author":"A Carmi","year":"2010","unstructured":"A. Carmi, P. Gurfil, D. Kanevsky, Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-Norms. IEEE Trans. Signal Process. 58(4), 2405\u20132409 (2010)","journal-title":"IEEE Trans. Signal Process."},{"key":"2624_CR4","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.sigpro.2019.07.022","volume":"165","author":"S Chen","year":"2019","unstructured":"S. Chen, Z. Cheng, C. Liu, F. Xi, A blind stopping condition for orthogonal matching pursuit with applications to compressive sensing radar. Signal Process. 165, 331\u2013342 (2019)","journal-title":"Signal Process."},{"key":"2624_CR5","doi-asserted-by":"crossref","unstructured":"E. Crespo Marques, N. Maciel, L. Naviner, H. Cai, J. Yang, A review of sparse recovery algorithms. IEEE Access 7, 1300\u20131322 (2019)","DOI":"10.1109\/ACCESS.2018.2886471"},{"key":"2624_CR6","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TCI.2023.3252260","volume":"9","author":"J Duan","year":"2023","unstructured":"J. Duan, Y. Liu, J. Wang, Accelerated SPIRiT parallel MR image reconstruction based on joint sparsity and sparsifying transform learning. IEEE Trans. Comput. Imaging 9, 276\u2013288 (2023)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"3","key":"2624_CR7","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1002\/mrm.27083","volume":"80","author":"C Ebersole","year":"2018","unstructured":"C. Ebersole, R. Ahmad, A.V. Rich, L.C. Potter, H. Dong, A. Kolipaka, A Bayesian method for accelerated magnetic resonance elastography of the liver. Magn. Reson. Med. 80(3), 1178\u20131188 (2018)","journal-title":"Magn. Reson. Med."},{"issue":"8","key":"2624_CR8","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1002\/nbm.3134","volume":"27","author":"A Fischer","year":"2014","unstructured":"A. Fischer et al., SElf-gated Non-Contrast-Enhanced FUnctional Lung imaging (SENCEFUL) using a quasi-random fast low-angle shot (FLASH) sequence and proton MRI. NMR Biomed. 27(8), 907\u2013917 (2014)","journal-title":"NMR Biomed."},{"issue":"6","key":"2624_CR9","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1002\/mrm.1910030602","volume":"3","author":"J Hennig","year":"1986","unstructured":"J. Hennig, A. Nauerth, H. Friedburg, RARE imaging: A fast imaging method for clinical MR. Magn. Reson. Med. 3(6), 823\u2013833 (1986)","journal-title":"Magn. Reson. Med."},{"issue":"1056","key":"2624_CR10","doi-asserted-by":"publisher","first-page":"20150487","DOI":"10.1259\/bjr.20150487","volume":"88","author":"ON Jaspan","year":"2015","unstructured":"O.N. Jaspan, R. Fleysher, M.L. Lipton, Compressed sensing MRI: a review of the clinical literature. Brit. J. Radiol. 88(1056), 20150487 (2015)","journal-title":"Brit. J. Radiol."},{"issue":"1","key":"2624_CR11","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1002\/jmri.21214","volume":"27","author":"Y-C Kim","year":"2008","unstructured":"Y.-C. Kim, J.-F. Nielsen, K.S. Nayak, Automatic correction of echo-planar imaging (EPI) ghosting artifacts in real-time interactive cardiac MRI using sensitivity encoding. J. Magn. Reson. Imaging 27(1), 239\u2013245 (2008)","journal-title":"J. Magn. Reson. Imaging"},{"key":"2624_CR12","doi-asserted-by":"crossref","unstructured":"H. Kiragu, G. Kamucha, E. Mwangi, A fast procedure for acquisition and reconstruction of magnetic resonance images using compressive sampling, AFRICON 2015, Addis Ababa, Ethiopia, pp. 1\u20135 (2015)","DOI":"10.1109\/AFRCON.2015.7332032"},{"key":"2624_CR13","doi-asserted-by":"crossref","unstructured":"Z. Li, X. Zheng, G. Chen, et al. A matching pursuit algorithm for sparse signal reconstruction based on Jaccard coefficient and backtracking. Circuits Syst. Signal Process. 1\u201318 (2023)","DOI":"10.1007\/s00034-023-02396-1"},{"key":"2624_CR14","doi-asserted-by":"publisher","first-page":"102768","DOI":"10.1016\/j.bspc.2021.102768","volume":"68","author":"S Liu","year":"2021","unstructured":"S. Liu, F.-Y. Wu, Self-training dictionary based approximated $${\\ell _0}$$ norm constraint reconstruction for compressed ECG. Biomed. Signal Process. Control 68, 102768\u2013102768 (2021)","journal-title":"Biomed. Signal Process. Control"},{"key":"2624_CR15","doi-asserted-by":"crossref","unstructured":"L. Lu, W. Xu, Y. Wang, Z. Tian, Blind orthogonal least squares based compressive spectrum sensing. IEEE Trans. Veh. Technol. (2023)","DOI":"10.1109\/TVT.2023.3290093"},{"issue":"6","key":"2624_CR16","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1002\/mrm.21391","volume":"58","author":"M Lustig","year":"2007","unstructured":"M. Lustig, D. Donoho, J.M. Pauly, Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 58(6), 1182\u20131195 (2007)","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"2624_CR17","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/MSP.2007.914728","volume":"25","author":"M Lustig","year":"2008","unstructured":"M. Lustig, D.L. Donoho, J.M. Santos, J.M. Pauly, Compressed sensing MRI. IEEE Signal Process. Mag. 25(2), 72\u201382 (2008)","journal-title":"IEEE Signal Process. Mag."},{"key":"2624_CR18","doi-asserted-by":"crossref","unstructured":"M. V. R. Manimala, C. D. Naidu, M. N. Giriprasad, Sparse recovery algorithms based on dictionary learning for MR image reconstruction, in 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, pp. 1354\u20131360 (2016)","DOI":"10.1109\/WiSPNET.2016.7566358"},{"issue":"2","key":"2624_CR19","first-page":"207","volume":"20","author":"Q Mu","year":"1999","unstructured":"Q. Mu, J. Xie, Z. Wen, Y. Weng, S. Zhang, A quantitative MR study of the hippocampal formation, the amygdala, and the temporal horn of the lateral ventricle in healthy subjects 40 to 90 years of age. AJNR Am. J. Neuroradiol. 20(2), 207\u2013211 (1999)","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"2624_CR20","doi-asserted-by":"publisher","first-page":"109709","DOI":"10.1016\/j.apacoust.2023.109709","volume":"215","author":"Y-Y Ni","year":"2023","unstructured":"Y.-Y. Ni, F.-Y. Wu, H.-Z. Yang, K. Yang, The A* orthogonal least square algorithm with the self-training dictionary for propeller signals reconstruction. Appl. Acoust. 215, 109709 (2023)","journal-title":"Appl. Acoust."},{"key":"2624_CR21","unstructured":"S. B. \u00d6zt\u00fcrk, A. B. \u00d6zt\u00fcrk, G. Soker G, M. Parlak, Evaluation of brain volume changes by magnetic resonance imaging in obstructive sleep apnea syndrome. Niger. J. Clin. Pract. 21(2), 236\u2013241 (2018)"},{"issue":"5","key":"2624_CR22","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1002\/jmri.23642","volume":"35","author":"DB Plewes","year":"2012","unstructured":"D.B. Plewes, W. Kucharczyk, Physics of MRI: a primer. J. Magn. Reson. Imaging 35(5), 1038\u20131054 (2012)","journal-title":"J. Magn. Reson. Imaging"},{"key":"2624_CR23","volume-title":"Fundamentals of Radar Signal Processing","author":"MA Richards","year":"2014","unstructured":"M.A. Richards, Fundamentals of Radar Signal Processing (Mcgraw-Hill Education, Cop, New York, 2014)"},{"key":"2624_CR24","doi-asserted-by":"crossref","unstructured":"S. Saladi, N. Amutha Prabha, Analysis of denoising filters on MRI brain images. Int. J. Imaging Syst. Technol. 27(3), 201\u2013208 (2017)","DOI":"10.1002\/ima.22225"},{"key":"2624_CR25","doi-asserted-by":"publisher","first-page":"e1024","DOI":"10.1016\/j.wneu.2021.05.047","volume":"151","author":"A Shah","year":"2021","unstructured":"A. Shah, S. Jhawar, A. Goel, A. Goel, Corpus callosum and its connections: a fiber dissection study. World Neurosurg. 151, e1024\u2013e1035 (2021)","journal-title":"World Neurosurg."},{"key":"2624_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2023.115792","volume":"287","author":"Y-C Song","year":"2023","unstructured":"Y.-C. Song, F.-Y. Wu, Y.-Y. Ni, K. Yang, A fast threshold OMP based on self-learning dictionary for propeller signal reconstruction. Ocean Eng. 287, 115792 (2023)","journal-title":"Ocean Eng."},{"key":"2624_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109044","volume":"209","author":"Y-C Song","year":"2023","unstructured":"Y.-C. Song, F.-Y. Wu, R. Peng, A neighborhood-based multiple orthogonal least square method for sparse signal recovery. Signal Process. 209, 109044 (2023)","journal-title":"Signal Process."},{"key":"2624_CR28","doi-asserted-by":"crossref","unstructured":"S.R. Sreeja, S. Rajmohan, M.S. Sodhi, et al., Dictionary learning and greedy algorithms for removing eye blink artifacts from EEG signals. Circuits Syst. Signal Process. 1\u201321 (2023)","DOI":"10.1007\/s00034-023-02381-8"},{"key":"2624_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2021.109125","volume":"232","author":"Q Sun","year":"2021","unstructured":"Q. Sun, F.-Y. Wu, K. Yang, Estimation of multipath delay-Doppler parameters from moving LFM signals in shallow water. Ocean Eng. 232, 109125 (2021)","journal-title":"Ocean Eng."},{"issue":"3","key":"2624_CR30","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1049\/ell2.12365","volume":"58","author":"Q Sun","year":"2021","unstructured":"Q. Sun, F.-Y. Wu, K. Yang, C. Huang, Sparse signal recovery from noisy measurements via searching forward OMP. Electron. Lett. 58(3), 124\u2013126 (2021)","journal-title":"Electron. Lett."},{"issue":"7","key":"2624_CR31","doi-asserted-by":"publisher","first-page":"N99","DOI":"10.1088\/0031-9155\/56\/7\/N02","volume":"56","author":"M Usman","year":"2011","unstructured":"M. Usman, C. Prieto, F. Odille, D. Atkinson, T. Schaeffter, P.G. Batchelor, A computationally efficient OMP-based compressed sensing reconstruction for dynamic MRI. Phys. Med. Biol. 56(7), N99\u2013N114 (2011)","journal-title":"Phys. Med. Biol."},{"issue":"9","key":"2624_CR32","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1109\/81.948437","volume":"48","author":"PP Vaidyanathan","year":"2001","unstructured":"P.P. Vaidyanathan, Generalizations of the sampling theorem: seven decades after Nyquist. IEEE Trans. Circuit Syst. I 48(9), 1094\u20131109 (2001)","journal-title":"IEEE Trans. Circuit Syst. I"},{"key":"2624_CR33","doi-asserted-by":"publisher","first-page":"186222","DOI":"10.1109\/ACCESS.2020.3028877","volume":"8","author":"A Wahid","year":"2020","unstructured":"A. Wahid, J.A. Shah, A.U. Khan, M. Ahmed, H. Razali, Multi-Layer basis pursuit for compressed sensing MR image reconstruction. IEEE Access 8, 186222\u2013186232 (2020)","journal-title":"IEEE Access"},{"issue":"21","key":"2624_CR34","doi-asserted-by":"publisher","first-page":"5868","DOI":"10.1109\/TSP.2015.2468676","volume":"63","author":"J Wang","year":"2015","unstructured":"J. Wang, Support recovery with orthogonal matching pursuit in the presence of noise. IEEE Trans. Signal Process. 63(21), 5868\u20135877 (2015)","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"2624_CR35","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1109\/TSP.2016.2639467","volume":"65","author":"J Wang","year":"2017","unstructured":"J. Wang, P. Li, Recovery of sparse signals using multiple orthogonal least squares. IEEE Trans. Signal Process. 65(8), 2049\u20132062 (2017)","journal-title":"IEEE Trans. Signal Process."},{"issue":"6","key":"2624_CR36","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1109\/TSP.2016.2634550","volume":"65","author":"J Wen","year":"2017","unstructured":"J. Wen, Z. Zhou, J. Wang, X. Tang, Q. Mo, A sharp condition for exact support recovery with orthogonal matching pursuit. IEEE Trans. Signal Process. 65(6), 1370\u20131382 (2017)","journal-title":"IEEE Trans. Signal Process."},{"issue":"4","key":"2624_CR37","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1109\/LSP.2012.2233734","volume":"20","author":"R Wu","year":"2013","unstructured":"R. Wu, W. Huang, D.-R. Chen, The exact support recovery of sparse signals with noise via orthogonal matching pursuit. IEEE Signal Process. Lett. 20(4), 403\u2013406 (2013)","journal-title":"IEEE Signal Process. Lett."},{"issue":"5","key":"2624_CR38","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.neucom.2016.10.032","volume":"223","author":"F-Y Wu","year":"2017","unstructured":"F.-Y. Wu, F. Tong, Mean-square analysis of the gradient projection sparse recovery algorithm based on non-uniform norm. Neurocomputing 223(5), 103\u2013106 (2017)","journal-title":"Neurocomputing"},{"key":"2624_CR39","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.asoc.2016.03.002","volume":"43","author":"F-Y Wu","year":"2016","unstructured":"F.-Y. Wu, F. Tong, Z. Yang, EMGdi signal enhancement based on ICA decomposition and wavelet transform. Appl. Soft Comput. 43, 561\u2013571 (2016)","journal-title":"Appl. Soft Comput."},{"key":"2624_CR40","doi-asserted-by":"publisher","first-page":"106659","DOI":"10.1016\/j.asoc.2020.106659","volume":"96","author":"F-Y Wu","year":"2020","unstructured":"F.-Y. Wu, K. Yang, X. Sheng, Optimized compression and recovery of electrocardiographic signal for IoT platform. Appl. Soft Comput. 96, 106659\u2013106659 (2020)","journal-title":"Appl. Soft Comput."},{"key":"2624_CR41","doi-asserted-by":"publisher","first-page":"153033","DOI":"10.1016\/j.aeue.2019.153033","volume":"115","author":"F-Y Wu","year":"2020","unstructured":"F.-Y. Wu, K. Yang, X. Sheng, F.-Y. Huang, A blocked MCC estimator for group sparse system identification. AEU-Int. J. Electron. Commun. 115, 153033\u2013153033 (2020)","journal-title":"AEU-Int. J. Electron. Commun."},{"issue":"5","key":"2624_CR42","doi-asserted-by":"publisher","first-page":"2210","DOI":"10.1109\/TII.2017.2759185","volume":"14","author":"F-Y Wu","year":"2018","unstructured":"F.-Y. Wu, K. Yang, Z. Yang, Compressed acquisition and denoising recovery of EMGdi signal in WSNs and IoT. IEEE Trans. Ind. Inf. 14(5), 2210\u20132219 (2018)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"6","key":"2624_CR43","doi-asserted-by":"publisher","first-page":"2286","DOI":"10.1002\/mrm.25785","volume":"75","author":"Y Xie","year":"2016","unstructured":"Y. Xie, Q. Yang, G. Xie, J. Pang, Z. Fan, D. Li, Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation. Magn. Reson. Med. 75(6), 2286\u20132294 (2016)","journal-title":"Magn. Reson. Med."},{"issue":"20","key":"2624_CR44","doi-asserted-by":"publisher","first-page":"5479","DOI":"10.1109\/TSP.2015.2453137","volume":"63","author":"M Yang","year":"2015","unstructured":"M. Yang, F. de Hoog, Orthogonal matching pursuit with thresholding and its application in compressive sensing. IEEE Trans. Signal Process. 63(20), 5479\u20135486 (2015)","journal-title":"IEEE Trans. Signal Process."},{"issue":"9","key":"2624_CR45","doi-asserted-by":"publisher","first-page":"6215","DOI":"10.1109\/TIT.2011.2162263","volume":"57","author":"T Zhang","year":"2011","unstructured":"T. Zhang, Sparse recovery with orthogonal matching pursuit under RIP. IEEE Trans. Inf. Theory 57(9), 6215\u20136221 (2011)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2624_CR46","doi-asserted-by":"crossref","unstructured":"H. Zhang, X. Ren, Y. Liu, Q. Zhou, The application of compressed sensing reconstruction algorithms for MRI of glioblastoma, in 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Shanghai, China, pp. 1\u20136 (2017)","DOI":"10.1109\/CISP-BMEI.2017.8302072"},{"issue":"9","key":"2624_CR47","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.3390\/electronics9091507","volume":"9","author":"H Zhu","year":"2020","unstructured":"H. Zhu, W. Chen, Y. Wu, Efficient implementations for orthogonal matching pursuit. Electronics 9(9), 1507 (2020)","journal-title":"Electronics"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02624-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-024-02624-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02624-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T15:08:40Z","timestamp":1717081720000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-024-02624-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,12]]},"references-count":47,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["2624"],"URL":"https:\/\/doi.org\/10.1007\/s00034-024-02624-2","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,12]]},"assertion":[{"value":"17 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 January 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing financial interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}