{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T17:30:11Z","timestamp":1770139811538,"version":"3.49.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R & D Program of China","doi-asserted-by":"crossref","award":["2021YFF0306405"],"award-info":[{"award-number":["2021YFF0306405"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s11517-025-03424-9","type":"journal-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T12:03:43Z","timestamp":1757678623000},"page":"105-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ERP-based cognitive load decoding in middle-aged adults: effects of Alzheimer\u2019s risk"],"prefix":"10.1007","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0371-6341","authenticated-orcid":false,"given":"Ziyang","family":"Li","sequence":"first","affiliation":[]},{"given":"Jianing","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7639-6967","authenticated-orcid":false,"given":"Hong","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0784-5133","authenticated-orcid":false,"given":"Tan","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6198-3563","authenticated-orcid":false,"given":"Mohamed Amin","family":"Gouda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0520-4913","authenticated-orcid":false,"given":"Jiale","family":"Gong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,12]]},"reference":[{"key":"3424_CR1","doi-asserted-by":"crossref","unstructured":"Mehlig K, Below A, Holmgren K, Bj\u00f6rkelund C, Lissner L, Skoglund I, Hakeberg M, Hange D (2024) Exploring the impact of mental and work-related stress on sick leave among middle-aged women: observations from the population study of women in Gothenburg, Sweden. Scandinavian Journal of Primary Health Care, pp 1\u201310","DOI":"10.1080\/02813432.2024.2380925"},{"issue":"1","key":"3424_CR2","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1002\/smi.2906","volume":"36","author":"JN Souza-Talarico","year":"2020","unstructured":"Souza-Talarico JN, Suemoto CK, Santos IS, Griep RH, Yamaguti STF, Lotufo PA, Bensen\u00f5r IJ (2020) Work-related stress and cognitive performance among middle-aged adults: the Brazilian longitudinal study of adult health (ELSA-Brasil). Stress Health 36(1):19\u201330","journal-title":"Stress Health"},{"issue":"4","key":"3424_CR3","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1080\/10253890.2020.1812059","volume":"24","author":"D Mauss","year":"2021","unstructured":"Mauss D, Volmer-Thole M, Herr R, Bosch JA, Fischer JE (2021) Stress at work is associated with intima media thickness in older male employees, independent of other sources of stress perception. Stress 24(4):450\u2013457","journal-title":"Stress"},{"issue":"8","key":"3424_CR4","doi-asserted-by":"publisher","first-page":"04023060","DOI":"10.1061\/JCEMD4.COENG-13339","volume":"149","author":"S Pooladvand","year":"2023","unstructured":"Pooladvand S, Hasanzadeh S (2023) Impacts of stress on workers\u2019 risk-taking behaviors: cognitive tunneling and impaired selective attention. J Constr Eng Manag 149(8):04023060","journal-title":"J Constr Eng Manag"},{"key":"3424_CR5","doi-asserted-by":"publisher","unstructured":"Rukhayati S, Prihatin T (2023) Work stress and influencing factors. Solo Int Collab Publ Soc Sci Humanit 1(01):47\u201356. https:\/\/doi.org\/10.61455\/sicopus.v1i01.30","DOI":"10.61455\/sicopus.v1i01.30"},{"key":"3424_CR6","doi-asserted-by":"crossref","unstructured":"Lkhagvasuren B, Hiramoto T, Tumurbaatar E, Bat-Erdene E, Tumur-Ochir G, Viswanath V, Corrigan J, Jadamba T (2023) The brain overwork scale: a population-based cross-sectional study on the psychometric properties of a new 10-item scale to assess mental distress in mongolia. In: Healthcare. MDPI, vol 11, p 1003","DOI":"10.3390\/healthcare11071003"},{"key":"3424_CR7","doi-asserted-by":"crossref","unstructured":"Younger JW, O\u2019Laughlin KD, Anguera JA, Bunge SA, Ferrer EE, Hoeft F, McCandliss BD, Mishra J, Rosenberg-Lee M, Gazzaley A et al (2023) Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity. Front Hum Neurosci 17:1195013","DOI":"10.3389\/fnhum.2023.1195013"},{"issue":"4","key":"3424_CR8","doi-asserted-by":"publisher","first-page":"68","DOI":"10.3390\/jintelligence11040068","volume":"11","author":"F Schmitz","year":"2023","unstructured":"Schmitz F, Kr\u00e4mer RJ (2023) Task switching: on the relation of cognitive flexibility with cognitive capacity. J Intelligence 11(4):68","journal-title":"J Intelligence"},{"key":"3424_CR9","doi-asserted-by":"crossref","unstructured":"Wei H, Jin Z (2024) EEG correlates of trait test anxiety in the flanker task for adolescents. Neurosci Lett 826:137725","DOI":"10.1016\/j.neulet.2024.137725"},{"key":"3424_CR10","doi-asserted-by":"crossref","unstructured":"Shen L, Jiang Y, Wan F, Ku Y, Nan W (2023) Successful alpha neurofeedback training enhances working memory updating and event-related potential activity. Neurobiol Learn Mem 205:107834","DOI":"10.1016\/j.nlm.2023.107834"},{"issue":"6","key":"3424_CR11","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1080\/09541440340000402","volume":"16","author":"L Riby","year":"2004","unstructured":"Riby L, Perfect T, Stollery B (2004) The effects of age and task domain on dual task performance: a meta-analysis. Eur J Cogn Psychol 16(6):863\u2013891","journal-title":"Eur J Cogn Psychol"},{"key":"3424_CR12","doi-asserted-by":"crossref","unstructured":"Guo Y, Gan J, Li Y (2023) Prosocial motivation can improve time-based prospective memory only under low cognitive load. Motiv Sci 9(1):62","DOI":"10.1037\/mot0000286"},{"issue":"10","key":"3424_CR13","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1038\/s41582-019-0244-7","volume":"15","author":"Y Hou","year":"2019","unstructured":"Hou Y, Dan X, Babbar M, Wei Y, Hasselbalch SG, Croteau DL, Bohr VA (2019) Ageing as a risk factor for neurodegenerative disease. Nat Rev Neurol 15(10):565\u2013581","journal-title":"Nat Rev Neurol"},{"issue":"3","key":"3424_CR14","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.ijpsycho.2011.11.001","volume":"83","author":"K Corby","year":"2012","unstructured":"Corby K, Morgan CD, Murphy C (2012) Abnormal event-related potentials in young and middle-aged adults with the ApoE $$\\varepsilon $$4 allele. Int J Psychophysiol 83(3):276\u2013281","journal-title":"Int J Psychophysiol"},{"key":"3424_CR15","doi-asserted-by":"publisher","first-page":"69","DOI":"10.3389\/fnagi.2016.00069","volume":"8","author":"J Kropotov","year":"2016","unstructured":"Kropotov J, Ponomarev V, Tereshchenko EP, M\u00fcller A, J\u00e4ncke L (2016) Effect of aging on ERP components of cognitive control. Front Aging Neurosci 8:69","journal-title":"Front Aging Neurosci"},{"issue":"10","key":"3424_CR16","doi-asserted-by":"publisher","first-page":"1742","DOI":"10.1016\/j.neurobiolaging.2009.11.010","volume":"32","author":"RM Chapman","year":"2011","unstructured":"Chapman RM, McCrary JW, Gardner MN, Sandoval TC, Guillily MD, Reilly LA, DeGrush E (2011) Brain ERP components predict which individuals progress to Alzheimer\u2019s disease and which do not. Neurobiol Aging 32(10):1742\u20131755","journal-title":"Neurobiol Aging"},{"issue":"1","key":"3424_CR17","doi-asserted-by":"publisher","first-page":"52","DOI":"10.3390\/s25010052","volume":"25","author":"Z Li","year":"2024","unstructured":"Li Z, Wang H, Song J, Gong J (2024) Exploring task-related EEG for cross-subject early Alzheimer\u2019s disease susceptibility prediction in middle-aged adults using multitaper spectral analysis. Sensors 25(1):52","journal-title":"Sensors"},{"issue":"1","key":"3424_CR18","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/s40359-023-01067-9","volume":"11","author":"C G\u00fcrdere","year":"2023","unstructured":"G\u00fcrdere C, Strobach T, Pastore M, Pfeffer I (2023) Do executive functions predict physical activity behavior? A meta-analysis. BMC Psychology 11(1):33","journal-title":"BMC Psychology"},{"issue":"11","key":"3424_CR19","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1037\/bul0000160","volume":"144","author":"JE Karr","year":"2018","unstructured":"Karr JE, Areshenkoff CN, Rast P, Hofer SM, Iverson GL, Garcia-Barrera MA (2018) The unity and diversity of executive functions: a systematic review and re-analysis of latent variable studies. Psychol Bull 144(11):1147","journal-title":"Psychol Bull"},{"issue":"2","key":"3424_CR20","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1037\/rev0000434","volume":"131","author":"M Yang\u00fcez","year":"2024","unstructured":"Yang\u00fcez M, Bediou B, Chanal J, Bavelier D (2024) In search of better practice in executive functions assessment: methodological issues and potential solutions. Psychol Rev 131(2):402","journal-title":"Psychol Rev"},{"key":"3424_CR21","doi-asserted-by":"crossref","unstructured":"Mareva S, Astle D, Baker K, Gathercole S, Holmes J, Kievit R, Manly T, Researchers T, Akarca D, Bathelt J et al (2024) Mapping neurodevelopmental diversity in executive function. Cortex 172:204\u2013221","DOI":"10.1016\/j.cortex.2023.11.021"},{"issue":"3","key":"3424_CR22","doi-asserted-by":"publisher","first-page":"361","DOI":"10.3390\/bioengineering10030361","volume":"10","author":"G Yoo","year":"2023","unstructured":"Yoo G, Kim H, Hong S (2023) Prediction of cognitive load from electroencephalography signals using long short-term memory network. Bioengineering 10(3):361","journal-title":"Bioengineering"},{"issue":"3","key":"3424_CR23","doi-asserted-by":"publisher","first-page":"4445","DOI":"10.1007\/s13369-023-08494-1","volume":"49","author":"J Yedukondalu","year":"2024","unstructured":"Yedukondalu J, Sharma D, Sharma LD (2024) Subject-wise cognitive load detection using time-frequency EEG and Bi-LSTM. Arab J Sci Eng 49(3):4445\u20134457","journal-title":"Arab J Sci Eng"},{"key":"3424_CR24","doi-asserted-by":"crossref","unstructured":"Tasmi T, Parvez M, Uddin J (2023) Cognitive load measurement based on EEG signals. In: Applied AI and multimedia technologies for smart manufacturing and CPS applications. IGI Global, pp 246\u2013255","DOI":"10.4018\/978-1-7998-7852-0.ch006"},{"key":"3424_CR25","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.bspc.2019.03.002","volume":"51","author":"H Wang","year":"2019","unstructured":"Wang H, Hua C, Wang Q, Fu Q, Fetlework T (2019) Training state and performance evaluation of working memory based on task-related EEG. Biomed Signal Process Control 51:296\u2013308","journal-title":"Biomed Signal Process Control"},{"issue":"01","key":"3424_CR26","doi-asserted-by":"publisher","first-page":"1850015","DOI":"10.1142\/S0129065718500156","volume":"29","author":"C Hua","year":"2019","unstructured":"Hua C, Wang H, Wang H, Lu S, Liu C, Khalid SM (2019) A novel method of building functional brain network using deep learning algorithm with application in proficiency detection. Int J Neural Syst 29(01):1850015","journal-title":"Int J Neural Syst"},{"issue":"8","key":"3424_CR27","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1038\/s41562-024-01941-5","volume":"8","author":"F Mushtaq","year":"2024","unstructured":"Mushtaq F, Welke D, Gallagher A, Pavlov YG, Kouara L, Bosch-Bayard J, Bosch JJ, Arvaneh M, Bland AR, Chaumon M et al (2024) One hundred years of EEG for brain and behaviour research. Nat Hum Behav 8(8):1437\u20131443","journal-title":"Nat Hum Behav"},{"key":"3424_CR28","doi-asserted-by":"crossref","unstructured":"Carrasco CD, Bahle B, Simmons AM, Luck SJ (2024) Using multivariate pattern analysis to increase effect sizes for event-related potential analyses. Psychophysiology, 14570","DOI":"10.1101\/2023.11.07.566051"},{"key":"3424_CR29","unstructured":"Dzianok P, Kublik E (2024) A polish electroencephalography, Alzheimer\u2019s risk-genes, lifestyle and neuroimaging (PEARL-Neuro) database. OpenNeuro. https:\/\/doi.org\/10.18112\/openneuro.ds004796.v1.0.9"},{"issue":"11","key":"3424_CR30","doi-asserted-by":"publisher","first-page":"5309","DOI":"10.3390\/s23115309","volume":"23","author":"F Marrone","year":"2023","unstructured":"Marrone F, Donno L, Lopreside A, Piccinini L, Tarabini M, Galli M (2023) The simultaneous assessment of time and motion response during dual tasks. Sensors 23(11):5309","journal-title":"Sensors"},{"issue":"5","key":"3424_CR31","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.intell.2012.07.002","volume":"40","author":"YS Dodonov","year":"2012","unstructured":"Dodonov YS, Dodonova YA (2012) Response time analysis in cognitive tasks with increasing difficulty. Intelligence 40(5):379\u2013394","journal-title":"Intelligence"},{"issue":"9","key":"3424_CR32","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1093\/geronb\/gby124","volume":"75","author":"ES Cerino","year":"2020","unstructured":"Cerino ES, Stawski RS, Geldhof GJ, MacDonald SW (2020) Associations between control beliefs and response time inconsistency in older adults vary as a function of attentional task demands. J Gerontol Ser B 75(9):1819\u20131830","journal-title":"J Gerontol Ser B"},{"issue":"1","key":"3424_CR33","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1038\/s41597-024-03106-5","volume":"11","author":"P Dzianok","year":"2024","unstructured":"Dzianok P, Kublik E (2024) PEARL-neuro database: EEG, FMRI, health and lifestyle data of middle-aged people at risk of dementia. Sci Data 11(1):276","journal-title":"Sci Data"},{"key":"3424_CR34","doi-asserted-by":"publisher","unstructured":"Luck SJ (2022) Applied event-related potential data analysis. LibreTexts. LibreTexts. https:\/\/doi.org\/10.18115\/D5QG92","DOI":"10.18115\/D5QG92"},{"issue":"1","key":"3424_CR35","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","volume":"134","author":"A Delorme","year":"2004","unstructured":"Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9\u201321","journal-title":"J Neurosci Methods"},{"key":"3424_CR36","doi-asserted-by":"publisher","first-page":"213","DOI":"10.3389\/fnhum.2014.00213","volume":"8","author":"J Lopez-Calderon","year":"2014","unstructured":"Lopez-Calderon J, Luck SJ (2014) ERPLAB: an open-source toolbox for the analysis of event-related potentials. Front Hum Neurosci 8:213","journal-title":"Front Hum Neurosci"},{"key":"3424_CR37","unstructured":"Dzianok P (2023) Imaging genetics: APOE\/PICALM genes are associated with mild alterations in brain function in healthy, middle-aged individuals: Phd thesis. PhD thesis, Instytut Biologii Do\u015bwiadczalnej im. Marcelego Nenckiego PAN"},{"issue":"3","key":"3424_CR38","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1017\/S0048577201990559","volume":"38","author":"A Kok","year":"2001","unstructured":"Kok A (2001) On the utility of p3 amplitude as a measure of processing capacity. Psychophysiology 38(3):557\u2013577","journal-title":"Psychophysiology"},{"issue":"2","key":"3424_CR39","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1002\/hbm.1028","volume":"13","author":"E D\u00fczel","year":"2001","unstructured":"D\u00fczel E, Picton TW, Cabeza R, Yonelinas AP, Scheich H, Heinze H-J, Tulving E (2001) Comparative electrophysiological and hemodynamic measures of neural activation during memory-retrieval. Hum Brain Mapp 13(2):104\u2013123","journal-title":"Hum Brain Mapp"},{"key":"3424_CR40","doi-asserted-by":"crossref","unstructured":"Talsma D, Woldorff MG (2005) Selective attention and multisensory integration: multiple phases of effects on the evoked brain activity. J Cogn Neurosci 17(7):1098\u20131114","DOI":"10.1162\/0898929054475172"},{"key":"3424_CR41","doi-asserted-by":"publisher","first-page":"32","DOI":"10.3389\/fnint.2019.00032","volume":"13","author":"M Leszczynski","year":"2019","unstructured":"Leszczynski M, Schroeder CE (2019) The role of neuronal oscillations in visual active sensing. Front Integr Neurosci 13:32","journal-title":"Front Integr Neurosci"},{"key":"3424_CR42","doi-asserted-by":"crossref","unstructured":"Kappenman ES, Farrens JL, Zhang W, Stewart AX, Luck SJ (2021) ERP core: an open resource for human event-related potential research. Neuroimage 225","DOI":"10.1016\/j.neuroimage.2020.117465"},{"key":"3424_CR43","doi-asserted-by":"publisher","unstructured":"Bae G-Y (2020) The time course of face representations during perception and working memory maintenance. Cereb Cortex Commun 2(1):093. https:\/\/doi.org\/10.1093\/texcom\/tgaa093, https:\/\/academic.oup.com\/cercorcomms\/article-pdf\/2\/1\/tgaa093\/37952938\/face_decoding_bae_som_final_tgaa093.pdf","DOI":"10.1093\/texcom\/tgaa093"},{"issue":"4","key":"3424_CR44","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1162\/jocn_a_01068","volume":"29","author":"T Grootswagers","year":"2017","unstructured":"Grootswagers T, Wardle SG, Carlson TA (2017) Decoding dynamic brain patterns from evoked responses: a tutorial on multivariate pattern analysis applied to time series neuroimaging data. J Cogn Neurosci 29(4):677\u2013697","journal-title":"J Cogn Neurosci"},{"key":"3424_CR45","doi-asserted-by":"crossref","unstructured":"Benjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependency. Annals Stat pp 1165\u20131188","DOI":"10.1214\/aos\/1013699998"},{"key":"3424_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2202-8-75","volume":"8","author":"G Cheron","year":"2007","unstructured":"Cheron G, Cebolla AM, De Saedeleer C, Bengoetxea A, Leurs F, Leroy A, Dan B (2007) Pure phase-locking of beta\/gamma oscillation contributes to the n30 frontal component of somatosensory evoked potentials. BMC Neurosci 8:1\u201311","journal-title":"BMC Neurosci"},{"issue":"1","key":"3424_CR47","doi-asserted-by":"publisher","first-page":"26549","DOI":"10.1002\/hbm.26549","volume":"45","author":"J Wojciechowski","year":"2024","unstructured":"Wojciechowski J, Jurewicz K, Dzianok P, Antonova I, Paluch K, Wolak T, Kublik E (2024) Common and distinct BOLD correlates of Simon and Flanker conflicts which can (not) be reduced to time-on-task effects. Hum Brain Mapp 45(1):26549","journal-title":"Hum Brain Mapp"},{"issue":"6","key":"3424_CR48","first-page":"1322","volume":"44","author":"Y Xiao-Juan","year":"2021","unstructured":"Xiao-Juan Y, Jian-Beng L, Fu-Hong L, Song-Hai L (2021) The cognitive neural mechanism of trait self-control in the multi-source interference task (MSIT). J Psychol Sci 44(6):1322","journal-title":"J Psychol Sci"},{"key":"3424_CR49","doi-asserted-by":"publisher","unstructured":"Chen LV, Shahki J, Woodward TS (2024) Whole-brain task-based bold anatomical patterns hypothesized for the Sternberg item recognition paradigm and their task-induced bold changes. OSF. https:\/\/doi.org\/10.31234\/osf.io\/ngka2","DOI":"10.31234\/osf.io\/ngka2"},{"issue":"2","key":"3424_CR50","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.pscychresns.2006.08.002","volume":"154","author":"M Altamura","year":"2007","unstructured":"Altamura M, Elvev\u00e5g B, Blasi G, Bertolino A, Callicott JH, Weinberger DR, Mattay VS, Goldberg TE (2007) Dissociating the effects of Sternberg working memory demands in prefrontal cortex. Psychiatry Res Neuroimaging 154(2):103\u2013114","journal-title":"Psychiatry Res Neuroimaging"},{"issue":"1","key":"3424_CR51","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/s11682-022-00746-2","volume":"17","author":"G Argiris","year":"2023","unstructured":"Argiris G, Stern Y, Habeck C (2023) Neural similarity across task load relates to cognitive reserve and brain maintenance measures on the letter Sternberg task: a longitudinal study. Brain Imaging Behav 17(1):100\u2013113","journal-title":"Brain Imaging Behav"},{"key":"3424_CR52","doi-asserted-by":"crossref","unstructured":"Demanuele C, Broyd SJ, Sonuga-Barke EJ, James C (2013) Neuronal oscillations in the EEG under varying cognitive load: a comparative study between slow waves and faster oscillations. Clin Neurophysiol 124(2):247\u2013262","DOI":"10.1016\/j.clinph.2012.07.021"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-025-03424-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-025-03424-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-025-03424-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T05:56:43Z","timestamp":1770098203000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-025-03424-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,12]]},"references-count":52,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["3424"],"URL":"https:\/\/doi.org\/10.1007\/s11517-025-03424-9","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,12]]},"assertion":[{"value":"21 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Participants provided written informed consent and signed informed consent regarding publishing their anonymized data. All authors approved the final version of the paper for submission.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}