{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T02:33:14Z","timestamp":1783650794614,"version":"3.55.0"},"reference-count":51,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,5,5]],"date-time":"2024-05-05T00:00:00Z","timestamp":1714867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Italian Ministry of Health in the framework of RICERCA FINALIZZATA 2021","award":["RF-2021-12372810"],"award-info":[{"award-number":["RF-2021-12372810"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Shoulder pain represents the most frequently reported musculoskeletal disorder, often leading to significant functional impairment and pain, impacting quality of life. Home-based rehabilitation programs offer a more accessible and convenient solution for an effective shoulder disorder treatment, addressing logistical and financial constraints associated with traditional physiotherapy. The aim of this systematic review is to report the monitoring devices currently proposed and tested for shoulder rehabilitation in home settings. The research question was formulated using the PICO approach, and the PRISMA guidelines were applied to ensure a transparent methodology for the systematic review process. A comprehensive search of PubMed and Scopus was conducted, and the results were included from 2014 up to 2023. Three different tools (i.e., the Rob 2 version of the Cochrane risk-of-bias tool, the Joanna Briggs Institute (JBI) Critical Appraisal tool, and the ROBINS-I tool) were used to assess the risk of bias. Fifteen studies were included as they fulfilled the inclusion criteria. The results showed that wearable systems represent a promising solution as remote monitoring technologies, offering quantitative and clinically meaningful insights into the progress of individuals within a rehabilitation pathway. Recent trends indicate a growing use of low-cost, non-intrusive visual tracking devices, such as camera-based monitoring systems, within the domain of tele-rehabilitation. The integration of home-based monitoring devices alongside traditional rehabilitation methods is acquiring significant attention, offering broader access to high-quality care, and potentially reducing healthcare costs associated with in-person therapy.<\/jats:p>","DOI":"10.3390\/s24092936","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T14:26:11Z","timestamp":1715005571000},"page":"2936","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3702-8839","authenticated-orcid":false,"given":"Martina","family":"Sassi","sequence":"first","affiliation":[{"name":"Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, Via \u00c1lvaro del Portillo, 21, 00128 Rome, Italy"},{"name":"Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Via \u00c1lvaro del Portillo, 200, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariajose","family":"Villa Corta","sequence":"additional","affiliation":[{"name":"Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Universit\u00e0 Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1787-5514","authenticated-orcid":false,"given":"Matteo Giuseppe","family":"Pisani","sequence":"additional","affiliation":[{"name":"Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Universit\u00e0 Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guido","family":"Nicodemi","sequence":"additional","affiliation":[{"name":"Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Universit\u00e0 Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9696-1265","authenticated-orcid":false,"given":"Emiliano","family":"Schena","sequence":"additional","affiliation":[{"name":"Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, Via \u00c1lvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leandro","family":"Pecchia","sequence":"additional","affiliation":[{"name":"Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, Via \u00c1lvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4063-9821","authenticated-orcid":false,"given":"Umile Giuseppe","family":"Longo","sequence":"additional","affiliation":[{"name":"Fondazione Policlinico Universitario Campus Bio-Medico di Roma, Via \u00c1lvaro del Portillo, 200, 00128 Rome, Italy"},{"name":"Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Universit\u00e0 Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,5]]},"reference":[{"key":"ref_1","first-page":"143","article-title":"Effects of supervised home-based exercise therapy on disability and function in patients with shoulder pain","volume":"5","author":"Erdem","year":"2018","journal-title":"J. Exerc. Ther. Rehabil."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e036881","DOI":"10.1136\/bmjopen-2020-036881","article-title":"AGT-Reha-WK study: Protocol for a non-inferiority trial comparing the efficacy and costs of home-based telerehabilitation for shoulder diseases with medical exercise therapy","volume":"10","author":"Steiner","year":"2020","journal-title":"BMJ Open"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1093\/bmb\/ldy025","article-title":"The effectiveness of conservative and surgical treatment for shoulder stiffness: A systematic review of current literature","volume":"127","author":"Longo","year":"2018","journal-title":"Br. Med. Bull."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e90","DOI":"10.1055\/s-0040-1713685","article-title":"Health-Enabling Technologies for Telerehabilitation of the Shoulder: A Feasibility and User Acceptance Study","volume":"59","author":"Steiner","year":"2020","journal-title":"Methods Inf. Med."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Liu, C.P., Lai, C.C., Liu, K.C., Hsieh, C.Y., and Chan, C.T. (2023, January 14\u201316). Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches. Proceedings of the 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, Republic of Korea.","DOI":"10.1109\/MeMeA57477.2023.10171854"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Cunha, B., Ferreira, R., and Sousa, A.S.P. (2023). Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. Sensors, 23.","DOI":"10.3390\/s23167100"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Longo, U.A.-O., Berton, A., Risi Ambrogioni, L., Lo Presti, D.A.-O.X., Carnevale, A., Candela, V., Stelitano, G., Schena, E.A.-O., Nazarian, A., and Denaro, V. (2020). Cost-Effectiveness of Supervised versus Unsupervised Rehabilitation for Rotator-Cuff Repair: Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17082852"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1177\/02692155221083496","article-title":"Effectiveness of physical therapy given by telerehabilitation on pain and disability of individuals with shoulder pain: A systematic review","volume":"36","author":"Gava","year":"2022","journal-title":"Clin. Rehabil."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Liu, H., Panahi, A., Andrews, D., and Nelson, A. (2020, January 9\u201311). An FPGA-Based Upper-Limb Rehabilitation Device for Gesture Recognition and Motion Evaluation Using Multi-Task Recurrent Neural Networks. Proceedings of the 2020 International Conference on Field-Programmable Technology (ICFPT), Maui, HI, USA.","DOI":"10.1109\/ICFPT51103.2020.00054"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Barzegar Khanghah, A., Fernie, G., and Roshan Fekr, A. (2023). Design and Validation of Vision-Based Exercise Biofeedback for Tele-Rehabilitation. Sensors, 23.","DOI":"10.3390\/s23031206"},{"key":"ref_11","unstructured":"Lucchesi, I., Lorussi, F., Bellizzi, M., Carbonaro, N., Casarosa, S., Trotta, L., and Tognetti, A. (2018). Wireless Mobile Communication and Healthcare: 2018\/\/2018, Springer International Publishing."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"766","DOI":"10.4028\/www.scientific.net\/AMR.717.766","article-title":"A Cloud-Based Tele-Rehabilitation System for Frozen Shoulder","volume":"717","author":"Yeh","year":"2013","journal-title":"Adv. Mater. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/10833196.2021.1935106","article-title":"Rotator cuff related shoulder pain. Describing home exercise adherence and the use of behavior change interventions to promote home exercise adherence: A systematic review of randomized controlled trials","volume":"26","author":"Hall","year":"2021","journal-title":"Phys. Ther. Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.jse.2021.08.019","article-title":"A multicenter randomized controlled trial comparing gamification with remote monitoring against standard rehabilitation for patients after arthroscopic shoulder surgery","volume":"31","author":"Marley","year":"2022","journal-title":"J. Shoulder Elb. Surg."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Liu, K., Ji, S., Liu, Y., Zhang, S., and Dai, L. (2024). Design and Optimization of an Adaptive Knee Joint Orthosis for Biomimetic Motion Rehabilitation Assistance. Biomimetics, 9.","DOI":"10.3390\/biomimetics9020098"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"8267","DOI":"10.1109\/JSEN.2020.3044800","article-title":"Wearable IMU-Based System for Real-Time Monitoring of Lower-Limb Joints","volume":"21","author":"Majumder","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Albani, G., Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Parisi, F., Ferrari, G., Cau, N., Cimolin, V., and Azzaro, C. (2019). An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson\u2019s Disease. Sensors, 19.","DOI":"10.3390\/s19214764"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6570617","DOI":"10.1155\/2018\/6570617","article-title":"Noninvasive Estimation of Joint Moments with Inertial Sensor System for Analysis of STS Rehabilitation Training","volume":"2018","author":"Liu","year":"2018","journal-title":"J. Healthc. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Hafer, J.F., Vitali, R., Gurchiek, R., Curtze, C., Shull, P., and Cain, S.M. (2023). Challenges and advances in the use of wearable sensors for lower extremity biomechanics. J. Biomech., 157.","DOI":"10.1016\/j.jbiomech.2023.111714"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Kusunose, M., Inui, A., Nishimoto, H., Mifune, Y., Yoshikawa, T., Shinohara, I., Furukawa, T., Kato, T., Tanaka, S., and Kuroda, R. (2023). Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model. Sensors, 23.","DOI":"10.3390\/s23146445"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1302\/2046-3758.123.BJR-2022-0126.R1","article-title":"Evaluation of at-home physiotherapy","volume":"12","author":"Boyer","year":"2023","journal-title":"Bone Jt. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"37958","DOI":"10.1109\/ACCESS.2023.3266245","article-title":"STPT: Spatio-Temporal Polychromatic Trajectory Based Elderly Exercise Evaluation System","volume":"11","author":"Ahmed","year":"2023","journal-title":"IEEE Access"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ino, T., Samukawa, M., Ishida, T., Wada, N., Koshino, Y., Kasahara, S., and Tohyama, H. (2023). Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera. Sensors, 23.","DOI":"10.3390\/s23249799"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1246773","DOI":"10.3389\/fresc.2024.1246773","article-title":"Optimizing lower limb rehabilitation: The intersection of machine learning and rehabilitative robotics","volume":"5","author":"Zhang","year":"2024","journal-title":"Front. Rehabil. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1186\/s12984-022-01053-z","article-title":"A low-cost virtual coach for 2D video-based compensation assessment of upper extremity rehabilitation exercises","volume":"19","author":"Lee","year":"2022","journal-title":"J. NeuroEngineering Rehabil."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Li, M., Scronce, G., Finetto, C., Coupland, K., Zhong, M., Lambert, M.E., Baker, A., Luo, F., and Seo, N.J. (2023). Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice. Sensors, 23.","DOI":"10.3390\/s23136110"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"e43615","DOI":"10.2196\/43615","article-title":"Technologies in Home-Based Digital Rehabilitation: Scoping Review","volume":"10","author":"Arntz","year":"2023","journal-title":"JMIR Rehabil. Assist. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"e1","DOI":"10.1016\/j.jclinepi.2009.06.006","article-title":"The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration","volume":"62","author":"Liberati","year":"2009","journal-title":"J. Clin. Epidemiol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.jclinepi.2020.06.015","article-title":"The revised Cochrane risk of bias tool for randomized trials (RoB 2) showed low interrater reliability and challenges in its application","volume":"126","author":"Minozzi","year":"2020","journal-title":"J. Clin. Epidemiol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.jclinepi.2021.08.022","article-title":"Cochrane\u2019s risk of bias tool for non-randomized studies (ROBINS-I) is frequently misapplied: A methodological systematic review","volume":"140","author":"Campbell","year":"2021","journal-title":"J. Clin. Epidemiol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.gaitpost.2019.03.008","article-title":"Adherence monitoring of rehabilitation exercise with inertial sensors: A clinical validation study","volume":"70","author":"Bavan","year":"2019","journal-title":"Gait Posture"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e21374","DOI":"10.2196\/21374","article-title":"Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study","volume":"8","author":"Burns","year":"2021","journal-title":"JMIR Rehabil. Assist. Technol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"e17841","DOI":"10.2196\/17841","article-title":"Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study","volume":"9","author":"Burns","year":"2020","journal-title":"JMIR Res. Protoc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.jse.2022.12.011","article-title":"Active physical therapy does not improve outcomes after reverse total shoulder arthroplasty: A multi-center, randomized clinical trial","volume":"32","author":"Chalmers","year":"2023","journal-title":"J. Shoulder Elb. Surg."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.jht.2019.08.004","article-title":"Effectiveness of video-based rehabilitation program on pain, functionality, and quality of life in the treatment of rotator cuff tears: A randomized controlled trial","volume":"33","author":"Altun","year":"2020","journal-title":"J. Hand Ther."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"e18846","DOI":"10.1097\/MD.0000000000018846","article-title":"Effectiveness of supervised early exercise program in patients with arthroscopic rotator cuff repair: Study protocol clinical trial","volume":"99","author":"Quintanilla","year":"2020","journal-title":"Medicine"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.physio.2019.07.002","article-title":"Development and implementation of the physiotherapy-led exercise interventions for the treatment of rotator cuff disorders for the \u2018Getting it Right: Addressing Shoulder Pain\u2019 (GRASP) trial","volume":"107","author":"Keene","year":"2020","journal-title":"Physiotherapy"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e17032","DOI":"10.2196\/17032","article-title":"Wearable Motion Sensor Device to Facilitate Rehabilitation in Patients With Shoulder Adhesive Capsulitis: Pilot Study to Assess Feasibility","volume":"22","author":"Chen","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.3390\/s150102181","article-title":"An activity recognition model using inertial sensor nodes in a wireless sensor network for frozen shoulder rehabilitation exercises","volume":"15","author":"Lin","year":"2015","journal-title":"Sensors"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.aott.2017.03.008","article-title":"Comparison of virtual reality exergaming and home exercise programs in patients with subacromial impingement syndrome and scapular dyskinesis: Short term effect","volume":"51","author":"Pekyavas","year":"2017","journal-title":"Acta Orthop. Et Traumatol. Turc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"145","DOI":"10.3414\/ME13-01-0109","article-title":"Exercise Recognition for Kinect-based Telerehabilitation","volume":"54","author":"Goni","year":"2015","journal-title":"Methods Inf. Med."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2452","DOI":"10.1109\/JBHI.2020.2999902","article-title":"Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data","volume":"24","author":"Hua","year":"2020","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.exger.2018.03.016","article-title":"Comparing the effects of a home-based exercise program using a gerontechnology to a community-based group exercise program on functional capacities in older adults after a minor injury","volume":"108","author":"Martel","year":"2018","journal-title":"Exp. Gerontol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.clinimag.2022.09.005","article-title":"Detecting upper extremity native joint dislocations using deep learning: A multicenter study","volume":"92","author":"Wei","year":"2022","journal-title":"Clin. Imaging"},{"key":"ref_45","unstructured":"Das, H., Pradhan, C., and Dey, N. (2020). Deep Learning for Data Analytics, Academic Press."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1016\/j.jse.2023.03.028","article-title":"Artificial intelligence for automated identification of total shoulder arthroplasty implants","volume":"32","author":"Kunze","year":"2023","journal-title":"J. Shoulder Elb. Surg."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.jseint.2022.10.004","article-title":"Research on artificial intelligence in shoulder and elbow surgery is increasing","volume":"7","author":"Gupta","year":"2023","journal-title":"JSES Int."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sultan, H., Owais, M., Park, C., Mahmood, T., Haider, A., and Park, K.R. (2021). Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine. J. Pers. Med., 11.","DOI":"10.3390\/jpm11060482"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Cheng, C., Liang, X., Guo, D., and Xie, D. (2024). Application of Artificial Intelligence in Shoulder Pathology. Preprints.","DOI":"10.20944\/preprints202404.0581.v1"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"e20","DOI":"10.2106\/JBJS.OA.20.00128","article-title":"Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty","volume":"6","author":"McLendon","year":"2021","journal-title":"JBJS Open Access"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Siddiqui, H.U., Saleem, A.A., Raza, M.A., Villar, S.G., Lopez, L.A., Diez, I.D., Rustam, F., and Dudley, S. (2023). Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics, 13.","DOI":"10.3390\/diagnostics13182881"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/9\/2936\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:39:53Z","timestamp":1760107193000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/9\/2936"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,5]]},"references-count":51,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2024,5]]}},"alternative-id":["s24092936"],"URL":"https:\/\/doi.org\/10.3390\/s24092936","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,5]]}}}