{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:35:06Z","timestamp":1750224906538},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"31","license":[{"start":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:00:00Z","timestamp":1723075200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:00:00Z","timestamp":1723075200000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s00521-024-10183-5","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T15:02:23Z","timestamp":1723129343000},"page":"19777-19793","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["MV-DUO: multi-variate discrete unified optimization for psychological vital assessments"],"prefix":"10.1007","volume":"36","author":[{"given":"Mohamed Shakeel","family":"Pethuraj","sequence":"first","affiliation":[]},{"given":"M. A.","family":"Burhanuddin","sequence":"additional","affiliation":[]},{"given":"Nur Rachman","family":"Dzakiyullah","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,8]]},"reference":[{"key":"10183_CR1","first-page":"1","volume":"71","author":"S Ding","year":"2022","unstructured":"Ding S, Ke Z, Yue Z, Song C, Lu L (2022) Noncontact multiphysiological signals estimation via visible and infrared facial features fusion. IEEE Trans Instrum Meas 71:1\u201313","journal-title":"IEEE Trans Instrum Meas"},{"key":"10183_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbsr.2020.100376","volume":"30","author":"K Tara","year":"2020","unstructured":"Tara K, Islam MH (2020) Advances of cardiac state-inducing prototype and design of GUI to anatomize cardiac signal for ascertaining psychological working competence. Sensing and Bio-Sensing Research 30:100376","journal-title":"Sensing and Bio-Sensing Research"},{"key":"10183_CR3","doi-asserted-by":"publisher","first-page":"103091","DOI":"10.1016\/j.dsp.2021.103091","volume":"116","author":"Z Wang","year":"2021","unstructured":"Wang Z, Li J, Jin Y, Wang J, Yang F, Li G, Ding W (2021) Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications. Digital Signal Proce 116:103091","journal-title":"Digital Signal Proce"},{"key":"10183_CR4","doi-asserted-by":"publisher","first-page":"607","DOI":"10.3758\/s13428-019-01263-9","volume":"52","author":"HG van Lier","year":"2020","unstructured":"van Lier HG, Pieterse ME, Garde A, Postel MG, de Haan HA, Vollenbroek-Hutten MM, Noordzij ML (2020) A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor. Behav Res Methods 52:607\u2013629","journal-title":"Behav Res Methods"},{"key":"10183_CR5","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.future.2020.07.047","volume":"114","author":"F Ali","year":"2021","unstructured":"Ali F, El-Sappagh S, Islam SR, Ali A, Attique M, Imran M, Kwak KS (2021) An intelligent healthcare monitoring framework using wearable sensors and social networking data. Futur Gener Comput Syst 114:23\u201343","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"10183_CR6","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1186\/s12911-022-02010-5","volume":"22","author":"M Stojchevska","year":"2022","unstructured":"Stojchevska M, Steenwinckel B, Van Der Donckt J, De Brouwer M, Goris A, De Turck F, Ongenae F (2022) Assessing the added value of context during stress detection from wearable data. BMC Med Inform Decis Mak 22(1):268","journal-title":"BMC Med Inform Decis Mak"},{"key":"10183_CR7","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/s41347-020-00190-3","volume":"6","author":"DM Hilty","year":"2021","unstructured":"Hilty DM, Armstrong CM, Edwards-Stewart A, Gentry MT, Luxton DD, Krupinski EA (2021) Sensor, wearable, and remote patient monitoring competencies for clinical care and training: scoping review. J Techno in Behav Sci 6:252\u2013277","journal-title":"J Techno in Behav Sci"},{"key":"10183_CR8","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.procs.2022.10.135","volume":"210","author":"MN Rylo","year":"2022","unstructured":"Rylo MN, de Medeiros RL, de Lucena Jr VF (2022) Gesture recognition of wrist motion based on wearables sensors. Proce Com Sci 210:181\u2013188","journal-title":"Proce Com Sci"},{"key":"10183_CR9","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/j.jmsy.2021.09.015","volume":"61","author":"J Oyekan","year":"2021","unstructured":"Oyekan J, Chen Y, Turner C, Tiwari A (2021) Applying a fusion of wearable sensors and a cognitive inspired architecture to real-time ergonomics analysis of manual assembly tasks. J Manuf Syst 61:391\u2013405","journal-title":"J Manuf Syst"},{"issue":"6","key":"10183_CR10","doi-asserted-by":"publisher","first-page":"e16952","DOI":"10.1016\/j.heliyon.2023.e16952","volume":"9","author":"A Matsuno","year":"2023","unstructured":"Matsuno A, Matsushima A, Saito M, Sakurai K, Kobayashi K, Sekijima Y (2023) Quantitative assessment of the gait improvement effect of LSVT BIG\u00ae using a wearable sensor in patients with Parkinson\u2019s disease. Heliyon. 9(6):e16952","journal-title":"Heliyon."},{"key":"10183_CR11","doi-asserted-by":"publisher","first-page":"4449","DOI":"10.1007\/s12652-019-01593-8","volume":"12","author":"P Pierleoni","year":"2021","unstructured":"Pierleoni P, Belli A, Concetti R, Palma L, Pinti F, Raggiunto S, Monteri\u00f9 A (2021) Biological age estimation using an eHealth system based on wearable sensors. J Ambi Intell Hum Com 12:4449\u20134460","journal-title":"J Ambi Intell Hum Com"},{"key":"10183_CR12","doi-asserted-by":"publisher","first-page":"101978","DOI":"10.1016\/j.aei.2023.101978","volume":"56","author":"I Mehmood","year":"2023","unstructured":"Mehmood I, Li H, Qarout Y, Umer W, Anwer S, Wu H, Antwi-Afari MF (2023) Deep learning-based construction equipment operators\u2019 mental fatigue classification using wearable EEG sensor data. Adv Eng Inform 56:101978","journal-title":"Adv Eng Inform"},{"key":"10183_CR13","doi-asserted-by":"publisher","first-page":"16756","DOI":"10.1109\/ACCESS.2022.3146711","volume":"10","author":"A Dev","year":"2022","unstructured":"Dev A, Roy N, Islam MK, Biswas C, Ahmed HU, Amin MA, Mamun KA (2022) Exploration of EEG-based depression biomarkers identification techniques and their applications: a systematic review. IEEE Access 10:16756\u201316781","journal-title":"IEEE Access"},{"key":"10183_CR14","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.jad.2021.09.087","volume":"296","author":"LM Mann","year":"2022","unstructured":"Mann LM, Walker BR (2022) The role of equanimity in mediating the relationship between psychological distress and social isolation during COVID-19. J Affect Disord 296:370\u2013379","journal-title":"J Affect Disord"},{"issue":"6","key":"10183_CR15","first-page":"986","volume":"41","author":"A Akta\u015f","year":"2023","unstructured":"Akta\u015f A, U\u011fur \u00d6 (2023) The effect of physical and psychological symptoms on spiritual well-being and emotional distress in inpatient cancer patients. Support Care Cancer 41(6):986","journal-title":"Support Care Cancer"},{"key":"10183_CR16","volume":"3","author":"J Maffly-Kipp","year":"2022","unstructured":"Maffly-Kipp J, Gause C, Kim J, Vess M, Hicks JA (2022) Agentic meaning-making: Free will beliefs, sense-making, and psychological distress following collective traumas. Curr Rese Ecolo Soc Psy 3:100074","journal-title":"Curr Rese Ecolo Soc Psy"},{"issue":"2","key":"10183_CR17","doi-asserted-by":"publisher","first-page":"241","DOI":"10.12989\/SSS.2020.26.2.241","volume":"26","author":"X Ma","year":"2020","unstructured":"Ma X, Foong LK, Morasaei A, Ghabussi A, Lyu Z (2020) Swarm-based hybridizations of neural network for predicting the concrete strength. Smart Struct Syst 26(2):241\u2013251. https:\/\/doi.org\/10.12989\/SSS.2020.26.2.241","journal-title":"Smart Struct Syst"},{"issue":"1","key":"10183_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssaho.2021.100186","volume":"4","author":"D Adom","year":"2021","unstructured":"Adom D, Mensah JA, Osei M (2021) The psychological distress and mental health disorders from COVID-19 stigmatization in Ghana. Social sciences & humanities open 4(1):100186","journal-title":"Social sciences & humanities open"},{"issue":"12","key":"10183_CR19","doi-asserted-by":"publisher","first-page":"10224","DOI":"10.1109\/JIOT.2021.3122015","volume":"9","author":"S Jiang","year":"2021","unstructured":"Jiang S, Firouzi F, Chakrabarty K, Elbogen EB (2021) A resilient and hierarchical IoT-based solution for stress monitoring in everyday settings. IEEE Internet Things J 9(12):10224\u201310243","journal-title":"IEEE Internet Things J"},{"issue":"2","key":"10183_CR20","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1109\/JBHI.2022.3172269","volume":"27","author":"U Ahmed","year":"2022","unstructured":"Ahmed U, Lin JCW, Srivastava G (2022) Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. IEEE J Biomed Health Inform 27(2):768\u2013777","journal-title":"IEEE J Biomed Health Inform"},{"issue":"2","key":"10183_CR21","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1109\/TAFFC.2021.3134183","volume":"4","author":"W Huang","year":"2021","unstructured":"Huang W, Wu W, Lucas MV, Huang H, Wen Z, Li Y (2021) Neurofeedback training with an electroencephalogram-based brain-computer interface enhances emotion regulation. IEEE Trans Affect Comput 4(2):998\u20131011","journal-title":"IEEE Trans Affect Comput"},{"key":"10183_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2021.3106803","volume":"9","author":"ET Attar","year":"2021","unstructured":"Attar ET, Balasubramanian V, Subasi E, Kaya M (2021) Stress analysis based on simultaneous heart rate variability and EEG monitoring. IEEE Journal of Translational Engineering in Health and Medicine 9:1\u20137","journal-title":"IEEE Journal of Translational Engineering in Health and Medicine"},{"issue":"8","key":"10183_CR23","doi-asserted-by":"publisher","first-page":"e18550","DOI":"10.1016\/j.heliyon.2023.e18550","volume":"9","author":"H Han","year":"2023","unstructured":"Han H (2023) Fuzzy clustering algorithm for university students\u2019 psychological fitness and performance detection. Heliyon. 9(8):e18550","journal-title":"Heliyon."},{"key":"10183_CR24","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/s12529-019-09838-8","volume":"27","author":"SL Brown","year":"2020","unstructured":"Brown SL, Roush JF, Marshall AJ, Jones C, Key C (2020) The intervening roles of psychological inflexibility and functional impairment in the relation between cancer-related pain and psychological distress. Int J Behav Med 27:100\u2013107","journal-title":"Int J Behav Med"},{"issue":"1","key":"10183_CR25","doi-asserted-by":"publisher","first-page":"20442","DOI":"10.1038\/s41598-020-75706-1","volume":"10","author":"PE Wolfson","year":"2020","unstructured":"Wolfson PE, Andries J, Feduccia AA, Jerome L, Wang JB, Williams E, Doblin R (2020) MDMA-assisted psychotherapy for treatment of anxiety and other psychological distress related to life-threatening illnesses: a randomized pilot study. Sci Rep 10(1):20442","journal-title":"Sci Rep"},{"key":"10183_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104585","volume":"82","author":"A Cheema","year":"2023","unstructured":"Cheema A, Singh M, Kumar M, Setia G (2023) Combined empirical mode decomposition and phase space reconstruction based psychologically stressed and non-stressed state classification from cardiac sound signals. Biomed Signal Process Control 82:104585","journal-title":"Biomed Signal Process Control"},{"key":"10183_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.childyouth.2021.106296","volume":"132","author":"G Arslan","year":"2022","unstructured":"Arslan G, Gen\u00e7 E, Y\u0131ld\u0131r\u0131m M, Tanhan A, Allen KA (2022) Psychological maltreatment, meaning in life, emotions, and psychological health in young adults: A multi-mediation approach. Child Youth Serv Rev 132:106296","journal-title":"Child Youth Serv Rev"},{"key":"10183_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2021.106612","volume":"149","author":"JH Hong","year":"2021","unstructured":"Hong JH, Lachman ME, Charles ST, Chen Y, Wilson CL, Nakamura JS, Kim ES (2021) The positive influence of sense of control on physical, behavioral, and psychosocial health in older adults: An outcome-wide approach. Prev Med 149:106612","journal-title":"Prev Med"},{"key":"10183_CR29","doi-asserted-by":"publisher","first-page":"68498","DOI":"10.1109\/ACCESS.2021.3077358","volume":"9","author":"S Elzeiny","year":"2021","unstructured":"Elzeiny S, Qaraqe M (2021) Automatic and intelligent stressor identification based on photoplethysmography analysis. IEEE Access 9:68498\u201368510","journal-title":"IEEE Access"},{"key":"10183_CR30","doi-asserted-by":"publisher","first-page":"10793","DOI":"10.1007\/s13369-020-04877-w","volume":"45","author":"A Arora","year":"2020","unstructured":"Arora A, Chakraborty P, Bhatia MPS (2020) Analysis of data from wearable sensors for sleep quality estimation and prediction using deep learning. Arab J Sci Eng 45:10793\u201310812","journal-title":"Arab J Sci Eng"},{"key":"10183_CR31","doi-asserted-by":"publisher","first-page":"89258","DOI":"10.1109\/ACCESS.2020.2994124","volume":"8","author":"J Jin","year":"2020","unstructured":"Jin J, Gao B, Yang S, Zhao B, Luo L, Woo WL (2020) Attention-block deep learning based features fusion in wearable social sensor for mental wellbeing evaluations. Ieee Access 8:89258\u201389268","journal-title":"Ieee Access"},{"issue":"5","key":"10183_CR32","doi-asserted-by":"publisher","first-page":"2155","DOI":"10.1109\/JBHI.2023.3239305","volume":"27","author":"L Zhu","year":"2023","unstructured":"Zhu L, Spachos P, Ng PC, Yu Y, Wang Y, Plataniotis K, Hatzinakos D (2023) Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning. IEEE J Biomed Health Inform 27(5):2155\u20132165","journal-title":"IEEE J Biomed Health Inform"},{"issue":"8","key":"10183_CR33","doi-asserted-by":"publisher","first-page":"2208","DOI":"10.1109\/JBHI.2019.2957444","volume":"24","author":"CM Chen","year":"2019","unstructured":"Chen CM, Anastasova S, Zhang K, Rosa BG, Lo BP, Assender HE, Yang GZ (2019) Towards wearable and flexible sensors and circuits integration for stress monitoring. IEEE J Biomed Health Inform 24(8):2208\u20132215","journal-title":"IEEE J Biomed Health Inform"},{"key":"10183_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109966","volume":"184","author":"G Cosoli","year":"2021","unstructured":"Cosoli G, Poli A, Scalise L, Spinsante S (2021) Measurement of multimodal physiological signals for stimulation detection by wearable devices. Measurement 184:109966","journal-title":"Measurement"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10183-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10183-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10183-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T12:08:07Z","timestamp":1727438887000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10183-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,8]]},"references-count":34,"journal-issue":{"issue":"31","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["10183"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10183-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2024,8,8]]},"assertion":[{"value":"12 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2024","order":3,"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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}