{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,30]],"date-time":"2025-11-30T05:05:49Z","timestamp":1764479149345,"version":"3.46.0"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s00034-025-03245-z","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T18:32:56Z","timestamp":1753295576000},"page":"9462-9483","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Expunging Baseline Wander from ECG Signals by Empirical Wavelet Transform Based Dyadic Boundary Points"],"prefix":"10.1007","volume":"44","author":[{"given":"Diksha","family":"Sharma","sequence":"first","affiliation":[]},{"given":"M.","family":"Krishna Chaitanya","sequence":"additional","affiliation":[]},{"given":"Jammisetty","family":"Yedukondalu","sequence":"additional","affiliation":[]},{"given":"Jagdeep","family":"Rahul","sequence":"additional","affiliation":[]},{"given":"Achintya Kumar","family":"Sarkar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5389-3928","authenticated-orcid":false,"given":"Lakhan Dev","family":"Sharma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"issue":"11","key":"3245_CR1","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1016\/j.compbiomed.2013.07.030","volume":"43","author":"S Agrawal","year":"2013","unstructured":"S. Agrawal, A. Gupta, Fractal and EMD based removal of baseline wander and powerline interference from ECG signals. Comput. Biol. Med. 43(11), 1889\u20131899 (2013)","journal-title":"Comput. Biol. Med."},{"issue":"1","key":"3245_CR2","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s12530-023-09559-0","volume":"15","author":"R Anand","year":"2024","unstructured":"R. Anand, S.V. Lakshmi, D. Pandey et al., An enhanced ResNet-50 deep learning model for arrhythmia detection using electrocardiogram biomedical indicators. Evol. Syst. 15(1), 83\u201397 (2024)","journal-title":"Evol. Syst."},{"issue":"3","key":"3245_CR3","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1007\/s00034-022-02196-z","volume":"42","author":"I Assali","year":"2023","unstructured":"I. Assali, I. Nouira, A. Abidi et al., Intelligent ECG signal filtering method based on SVM algorithm. Circuits Syst. Signal Process. 42(3), 1773\u20131791 (2023)","journal-title":"Circuits Syst. Signal Process."},{"issue":"1","key":"3245_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compbiomed.2007.06.003","volume":"38","author":"M Blanco-Velasco","year":"2008","unstructured":"M. Blanco-Velasco, B. Weng, K.E. Barner, ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Comput. Biol. Med. 38(1), 1\u201313 (2008)","journal-title":"Comput. Biol. Med."},{"key":"3245_CR5","doi-asserted-by":"publisher","first-page":"102466","DOI":"10.1016\/j.bspc.2021.102466","volume":"67","author":"S Boda","year":"2021","unstructured":"S. Boda, M. Mahadevappa, P.K. Dutta, A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT. Biomed. Signal Process. Control 67, 102466 (2021)","journal-title":"Biomed. Signal Process. Control"},{"key":"3245_CR6","doi-asserted-by":"publisher","first-page":"103583","DOI":"10.1016\/j.bspc.2022.103583","volume":"75","author":"MK Chaitanya","year":"2022","unstructured":"M.K. Chaitanya, L.D. Sharma, Electrocardiogram signal filtering using circulant singular spectrum analysis and cascaded Savitzky-Golay filter. Biomed. Signal Process. Control 75, 103583 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"3245_CR7","doi-asserted-by":"crossref","unstructured":"M.K. Chaitanya, L.D. Sharma, Automated detection of myocardial infarction using binary harry hawks feature selection and ensemble KNN classifier. Comput. Methods Biomech. Biomed. Eng. 1\u201317 (2023)","DOI":"10.1080\/10255842.2023.2270101"},{"key":"3245_CR8","doi-asserted-by":"publisher","first-page":"28247","DOI":"10.1109\/ACCESS.2024.3367597","volume":"12","author":"MK Chaitanya","year":"2024","unstructured":"M.K. Chaitanya, L.D. Sharma, Cross subject myocardial infarction detection from vectorcardiogram signals using binary harry hawks feature selection and ensemble classifiers. IEEE Access 12, 28247\u201328259 (2024)","journal-title":"IEEE Access"},{"key":"3245_CR9","doi-asserted-by":"publisher","first-page":"103938","DOI":"10.1016\/j.dsp.2023.103938","volume":"135","author":"PK Chaudhary","year":"2023","unstructured":"P.K. Chaudhary, V. Gupta, R.B. Pachori, Fourier-Bessel representation for signal processing: a review. Digit. Signal Process. 135, 103938 (2023)","journal-title":"Digit. Signal Process."},{"key":"3245_CR10","doi-asserted-by":"publisher","first-page":"104996","DOI":"10.1016\/j.bspc.2023.104996","volume":"85","author":"S Dash","year":"2023","unstructured":"S. Dash, P. Gajbhiye, P. Sawangjai et al., Dyadic boundary points based empirical wavelet transform for the elimination of eye movement and eye blink-based ocular artifacts from EEG signals. Biomed. Signal Process. Control 85, 104996 (2023)","journal-title":"Biomed. Signal Process. Control"},{"issue":"7","key":"3245_CR11","doi-asserted-by":"publisher","first-page":"3687","DOI":"10.1109\/JSEN.2019.2959697","volume":"20","author":"P Gajbhiye","year":"2019","unstructured":"P. Gajbhiye, R.K. Tripathy, R.B. Pachori, Elimination of ocular artifacts from single channel EEG signals using FBSE-EWT based rhythms. IEEE Sens. J. 20(7), 3687\u20133696 (2019)","journal-title":"IEEE Sens. J."},{"key":"3245_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2020.3041099","volume":"70","author":"P Gajbhiye","year":"2020","unstructured":"P. Gajbhiye, N. Mingchinda, W. Chen et al., Wavelet domain optimized Savitzky-Golay filter for the removal of motion artifacts from EEG recordings. IEEE Trans. Instrum. Meas. 70, 1\u201311 (2020)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"16","key":"3245_CR13","doi-asserted-by":"publisher","first-page":"3999","DOI":"10.1109\/TSP.2013.2265222","volume":"61","author":"J Gilles","year":"2013","unstructured":"J. Gilles, Empirical wavelet transform. IEEE Trans. Signal Process. 61(16), 3999\u20134010 (2013)","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"3245_CR14","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1097\/00003246-198112000-00029","volume":"9","author":"AL Goldberger","year":"1981","unstructured":"A.L. Goldberger, E. Gold-berger, Clinical electrocardiography, a simplified approach. Crit. Care Med. 9(12), 891\u2013892 (1981)","journal-title":"Crit. Care Med."},{"issue":"23","key":"3245_CR15","doi-asserted-by":"publisher","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"AL Goldberger","year":"2000","unstructured":"A.L. Goldberger, L.A. Amaral, L. Glass et al., Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215\u2013e220 (2000)","journal-title":"Circulation"},{"issue":"5","key":"3245_CR16","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1016\/j.bspc.2011.11.003","volume":"7","author":"MA Kabir","year":"2012","unstructured":"M.A. Kabir, C. Shahnaz, Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains. Biomed. Signal Process. Control 7(5), 481\u2013489 (2012)","journal-title":"Biomed. Signal Process. Control"},{"key":"3245_CR17","unstructured":"R.J. Kobler, A.I. Sburlea, G.R. M\u00fcller-Putz, A comparison of ocular artifact removal methods for block design based electroencephalography experiments, in GBCIC (2017)"},{"issue":"1","key":"3245_CR18","doi-asserted-by":"publisher","first-page":"17713","DOI":"10.1038\/s41598-018-36326-y","volume":"8","author":"RJ Kobler","year":"2018","unstructured":"R.J. Kobler, A.I. Sburlea, G.R. M\u00fcller-Putz, Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks. Sci. Rep. 8(1), 17713 (2018)","journal-title":"Sci. Rep."},{"key":"3245_CR19","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s13534-015-0182-2","volume":"5","author":"S Lahmiri","year":"2015","unstructured":"S. Lahmiri, M. Boukadoum, A weighted bio-signal denoising approach using empirical mode decomposition. Biomed. Eng. Lett. 5, 131\u2013139 (2015)","journal-title":"Biomed. Eng. Lett."},{"key":"3245_CR20","doi-asserted-by":"publisher","first-page":"5081","DOI":"10.1109\/JBHI.2023.3237712","volume":"28","author":"H Li","year":"2023","unstructured":"H. Li, G. Ditzler, J. Roveda et al., Descod-ecg: deep score-based diffusion model for ECG baseline wander and noise removal. IEEE J. Biomed. Health Inform. 28, 5081\u20135091 (2023)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"12","key":"3245_CR21","doi-asserted-by":"publisher","first-page":"2754","DOI":"10.1109\/TCSI.2005.857871","volume":"52","author":"Y Lian","year":"2005","unstructured":"Y. Lian, Y. Wei, A computationally efficient nonuniform FIR digital filter bank for hearing aids. IEEE Trans. Circuits Syst. I Regul. Pap. 52(12), 2754\u20132762 (2005)","journal-title":"IEEE Trans. Circuits Syst. I Regul. Pap."},{"key":"3245_CR22","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1515\/acgeo-2015-0062","volume":"64","author":"Y Liu","year":"2016","unstructured":"Y. Liu, B. Dang, Y. Li et al., Applications of Savitzky-Golay filter for seismic random noise reduction. Acta Geophys. 64, 101\u2013124 (2016)","journal-title":"Acta Geophys."},{"issue":"1","key":"3245_CR23","doi-asserted-by":"publisher","first-page":"11043","DOI":"10.1038\/s41598-021-90437-7","volume":"11","author":"AK Maddirala","year":"2021","unstructured":"A.K. Maddirala, K.C. Veluvolu, Eye-blink artifact removal from single channel EEG with k-means and SSA. Sci. Rep. 11(1), 11043 (2021)","journal-title":"Sci. Rep."},{"key":"3245_CR24","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1109\/TNSRE.2022.3176575","volume":"30","author":"AK Maddirala","year":"2022","unstructured":"A.K. Maddirala, K.C. Veluvolu, ICA with CWT and k-means for eye-blink artifact removal from fewer channel EEG. IEEE Trans. Neural Syst. Rehabil. Eng. 30, 1361\u20131373 (2022)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3","key":"3245_CR25","doi-asserted-by":"publisher","first-page":"931","DOI":"10.3390\/s22030931","volume":"22","author":"AK Maddirala","year":"2022","unstructured":"A.K. Maddirala, K.C. Veluvolu, SSA with CWT and k-means for eye-blink artifact removal from single-channel EEG signals. Sensors 22(3), 931 (2022)","journal-title":"Sensors"},{"key":"3245_CR26","doi-asserted-by":"crossref","unstructured":"H.Y. Mir, O. Singh, Power-line interference and baseline wander elimination in ECG using VMD and EWT. Comput. Methods Biomech. Biomed. Eng. 1\u201320 (2023)","DOI":"10.1080\/10255842.2023.2271608"},{"issue":"3","key":"3245_CR27","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/51.932724","volume":"20","author":"GB Moody","year":"2001","unstructured":"G.B. Moody, R.G. Mark, The impact of the MIT-BIH arrhythmia database. IEEE Eng. Med. Biol. Mag. 20(3), 45\u201350 (2001)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"issue":"3","key":"3245_CR28","first-page":"381","volume":"11","author":"GB Moody","year":"1984","unstructured":"G.B. Moody, W. Muldrow, R.G. Mark, A noise stress test for arrhythmia detectors. Comput. Cardiol. 11(3), 381\u2013384 (1984)","journal-title":"Comput. Cardiol."},{"key":"3245_CR29","doi-asserted-by":"publisher","DOI":"10.1201\/9781003367987","volume-title":"Time-Frequency Analysis Techniques and Their Applications","author":"RB Pachori","year":"2023","unstructured":"R.B. Pachori, Time-Frequency Analysis Techniques and Their Applications (CRC Press, Boca Raton, 2023)"},{"key":"3245_CR30","doi-asserted-by":"publisher","first-page":"103939","DOI":"10.1016\/j.compbiomed.2020.103939","volume":"124","author":"R Panda","year":"2020","unstructured":"R. Panda, S. Jain, R. Tripathy et al., Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. Comput. Biol. Med. 124, 103939 (2020)","journal-title":"Comput. Biol. Med."},{"key":"3245_CR31","doi-asserted-by":"crossref","unstructured":"P.B. Patil, M.S. Chavan, A wavelet based method for denoising of biomedical signal, in International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) (IEEE, 2012), pp. 278\u2013283","DOI":"10.1109\/ICPRIME.2012.6208358"},{"issue":"2","key":"3245_CR32","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.ijcard.2010.09.016","volume":"154","author":"BH Rao","year":"2012","unstructured":"B.H. Rao, B. Sastry, S.S. Chugh et al., Contribution of sudden cardiac death to total mortality in India-a population based study. Int. J. Cardiol. 154(2), 163\u2013167 (2012)","journal-title":"Int. J. Cardiol."},{"key":"3245_CR33","doi-asserted-by":"crossref","unstructured":"R. Sameni, M.B. Shamsollahi, C. Jutten et\u00a0al., Filtering noisy ECG signals using the extended Kalman filter based on a modified dynamic ECG model, in Computers in Cardiology, 2005 (IEEE, 2005), pp. 1017\u20131020","DOI":"10.1109\/CIC.2005.1588283"},{"issue":"4","key":"3245_CR34","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1109\/MSP.2011.941097","volume":"28","author":"RW Schafer","year":"2011","unstructured":"R.W. Schafer, What is a Savitzky-Golay filter? Lecture notes. IEEE Signal Process. Mag. 28(4), 111\u2013117 (2011)","journal-title":"IEEE Signal Process. Mag."},{"issue":"6","key":"3245_CR35","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1049\/el.2014.4076","volume":"51","author":"H Sharma","year":"2015","unstructured":"H. Sharma, K. Sharma, Baseline wander removal of ECG signals using Hilbert vibration decomposition. Electron. Lett. 51(6), 447\u2013449 (2015)","journal-title":"Electron. Lett."},{"key":"3245_CR36","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.bspc.2018.05.002","volume":"45","author":"RR Sharma","year":"2018","unstructured":"R.R. Sharma, R.B. Pachori, Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition. Biomed. Signal Process. Control 45, 33\u201349 (2018)","journal-title":"Biomed. Signal Process. Control"},{"issue":"3","key":"3245_CR37","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.bbe.2017.06.001","volume":"37","author":"P Singh","year":"2017","unstructured":"P. Singh, G. Pradhan, S. Shahnawazuddin, Denoising of ECG signal by non-local estimation of approximation coefficients in DWT. Biocybern. Biomed. Eng. 37(3), 599\u2013610 (2017)","journal-title":"Biocybern. Biomed. Eng."},{"key":"3245_CR38","volume-title":"Bioelectrical Signal Processing in Cardiac and Neurological Applications","author":"L S\u00f6rnmo","year":"2005","unstructured":"L. S\u00f6rnmo, P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications, vol. 8 (Academic Press, Cambridge, 2005)"},{"issue":"6","key":"3245_CR39","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.bspc.2013.05.001","volume":"8","author":"M Suchetha","year":"2013","unstructured":"M. Suchetha, N. Kumaravel, Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods. Biomed. Signal Process. Control 8(6), 575\u2013585 (2013)","journal-title":"Biomed. Signal Process. Control"},{"key":"3245_CR40","doi-asserted-by":"crossref","unstructured":"J. Tang, Q. Zou, Y. Tang et\u00a0al., Hilbert-Huang transform for ECG de-noising, in 2007 1st International Conference on Bioinformatics and Biomedical Engineering (IEEE, 2007), pp. 664\u2013667","DOI":"10.1109\/ICBBE.2007.173"},{"issue":"8","key":"3245_CR41","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1109\/10.83591","volume":"38","author":"NV Thakor","year":"1991","unstructured":"N.V. Thakor, Y.S. Zhu, Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection. IEEE Trans. Biomed. Eng. 38(8), 785\u2013794 (1991)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"10","key":"3245_CR42","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.3390\/e22101141","volume":"22","author":"RK Tripathy","year":"2020","unstructured":"R.K. Tripathy, S.K. Ghosh, P. Gajbhiye et al., Development of automated sleep stage classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features extracted from multichannel EEG signals. Entropy 22(10), 1141 (2020)","journal-title":"Entropy"},{"key":"3245_CR43","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/TBME.1985.325514","volume":"12","author":"JA Van Alste","year":"1985","unstructured":"J.A. Van Alste, T. Schilder, Removal of base-line wander and power-line interference from the ECG by an efficient fir filter with a reduced number of taps. IEEE Trans. Biomed. Eng. 12, 1052\u20131060 (1985)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"5","key":"3245_CR44","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/0010-4809(86)90037-6","volume":"19","author":"JA Van Alste","year":"1986","unstructured":"J.A. Van Alste, W. Van Eck, O. Herrmann, ECG baseline wander reduction using linear phase filters. Comput. Biomed. Res. 19(5), 417\u2013427 (1986)","journal-title":"Comput. Biomed. Res."},{"key":"3245_CR45","doi-asserted-by":"crossref","unstructured":"Y. Weiting, Z. Runjing, An improved self-adaptive filter based on LMS algorithm for filtering 50 Hz interference in ECG signals, in 2007 8th International Conference on Electronic Measurement and Instruments (IEEE, 2007), pp. 3\u2013874","DOI":"10.1109\/ICEMI.2007.4351057"},{"key":"3245_CR46","unstructured":"World Health Organization, Global Patient Safety Action Plan 2021\u20132030: Towards Eliminating Avoidable Harm in Health Care (World Health Organization, Geneva, 2021)"},{"key":"3245_CR47","doi-asserted-by":"publisher","first-page":"165566","DOI":"10.1016\/j.ijleo.2020.165566","volume":"223","author":"L Yao","year":"2020","unstructured":"L. Yao, Z. Pan, A new method based CEEMDAN for removal of baseline wander and powerline interference in ECG signals. Optik 223, 165566 (2020)","journal-title":"Optik"},{"issue":"1","key":"3245_CR48","doi-asserted-by":"publisher","first-page":"1359","DOI":"10.12785\/ijcds\/150196","volume":"15","author":"H Yousuf Mir","year":"2024","unstructured":"H. Yousuf Mir, O. Singh, A novel approach for denoising ECG signals corrupted with white Gaussian noise using wavelet packet transform and soft-thresholding. Int. J. Comput. Digit. Syst. 15(1), 1359\u20131373 (2024)","journal-title":"Int. J. Comput. Digit. Syst."},{"key":"3245_CR49","doi-asserted-by":"publisher","first-page":"107835","DOI":"10.1016\/j.compbiomed.2023.107835","volume":"169","author":"K Yu","year":"2024","unstructured":"K. Yu, L. Feng, Y. Chen et al., Accurate wavelet thresholding method for ECG signals. Comput. Biol. Med. 169, 107835 (2024)","journal-title":"Comput. Biol. Med."},{"key":"3245_CR50","doi-asserted-by":"crossref","unstructured":"Z. Zhao, J. Liu, Baseline wander removal of ECG signals using empirical mode decomposition and adaptive filter, in 2010 4th International Conference on Bioinformatics and Biomedical Engineering (IEEE, 2010), pp. 1\u20133","DOI":"10.1109\/ICBBE.2010.5516384"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03245-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-025-03245-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-025-03245-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,30]],"date-time":"2025-11-30T05:01:29Z","timestamp":1764478889000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-025-03245-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,23]]},"references-count":50,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["3245"],"URL":"https:\/\/doi.org\/10.1007\/s00034-025-03245-z","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2025,7,23]]},"assertion":[{"value":"13 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}