{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:27:04Z","timestamp":1772252824211,"version":"3.50.1"},"reference-count":103,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T00:00:00Z","timestamp":1635552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"s COFAC\/ILIND\/COPELABS\/1\/2020","award":["d ILIND\u2013Instituto Lus\u00f3fono de Investiga\u00e7\u00e3o e Desenvolvimento, under projects"],"award-info":[{"award-number":["d ILIND\u2013Instituto Lus\u00f3fono de Investiga\u00e7\u00e3o e Desenvolvimento, under projects"]}]},{"name":"d ILIND\u2013Instituto Lus\u00f3fono de Investiga\u00e7\u00e3o e Desenvolvimento, under projects","award":["COFAC\/ILIND\/COPELABS\/3\/2020."],"award-info":[{"award-number":["COFAC\/ILIND\/COPELABS\/3\/2020."]}]},{"name":"VALORIZA \u2013 Research Centre for Endogenous Resource Valorization","award":["UIDB\/04111\/2020"],"award-info":[{"award-number":["UIDB\/04111\/2020"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia, I.P.","award":["UIDB\/05064\/2020"],"award-info":[{"award-number":["UIDB\/05064\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>This article presents a systematic mapping study dedicated to conduct a literature review on machine learning and IoT applied in the identification of diseases through heart sounds. This research was conducted between January 2010 and July 2021, considering IEEE Xplore, PubMed Central, ACM Digital Library, JMIR\u2014Journal of Medical Internet Research, Springer Library, and Science Direct. The initial search resulted in 4372 papers, and after applying the inclusion and exclusion criteria, 58 papers were selected for full reading to answer the research questions. The main results are: of the 58 articles selected, 46 (79.31%) mention heart rate observation methods with wearable sensors and digital stethoscopes, and 34 (58.62%) mention care with machine learning algorithms. The analysis of the studies based on the bibliometric network generated by the VOSviewer showed in 13 studies (22.41%) a trend related to the use of intelligent services in the prediction of diagnoses related to cardiovascular disorders.<\/jats:p>","DOI":"10.3390\/informatics8040073","type":"journal-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T22:14:52Z","timestamp":1635891292000},"page":"73","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8991-3062","authenticated-orcid":false,"given":"Ivo S\u00e9rgio Guimar\u00e3es","family":"Brites","sequence":"first","affiliation":[{"name":"Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, S\u00e3o Leopoldo 93022-750, RS, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9480-8005","authenticated-orcid":false,"given":"L\u00eddia Martins","family":"da Silva","sequence":"additional","affiliation":[{"name":"Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, S\u00e3o Leopoldo 93022-750, RS, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0358-2056","authenticated-orcid":false,"given":"Jorge Luis Vict\u00f3ria","family":"Barbosa","sequence":"additional","affiliation":[{"name":"Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, S\u00e3o Leopoldo 93022-750, RS, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8140-5621","authenticated-orcid":false,"given":"Sandro Jos\u00e9","family":"Rigo","sequence":"additional","affiliation":[{"name":"Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, S\u00e3o Leopoldo 93022-750, RS, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1111-3513","authenticated-orcid":false,"given":"S\u00e9rgio Duarte","family":"Correia","sequence":"additional","affiliation":[{"name":"COPELABS, Universidade Lus\u00f3fona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal"},{"name":"VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0446-9271","authenticated-orcid":false,"given":"Valderi Reis Quietinho","family":"Leithardt","sequence":"additional","affiliation":[{"name":"COPELABS, Universidade Lus\u00f3fona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal"},{"name":"VALORIZA, Research Center for Endogenous Resources Valorization, Instituto Polit\u00e9cnico de Portalegre, 7300-555 Portalegre, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Vingen, D., Andrews, E.J., and Ferati, M. (2020). Usability in Patient-Oriented Drug Interaction Checkers\u2014A Scandinavian Sampling and Heuristic Evaluation. Informatics, 7.","DOI":"10.3390\/informatics7040042"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Anselma, L., and Mazzei, A. (2020). Building a Persuasive Virtual Dietitian. Informatics, 7.","DOI":"10.3390\/informatics7030027"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, Y., and Zhang, J. (2020). Investigation of Women\u2019s Health on Wikipedia\u2014A Temporal Analysis of Women\u2019s Health Topic. Informatics, 7.","DOI":"10.3390\/informatics7030022"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Dos Santos Paula, L., Barbosa, J.L.V., and Dias, L.P.S. (2021). A model for assisting in the treatment of anxiety disorder. Universal Access in the Information Society. Univers. Access Inf. Soc., 1\u201311.","DOI":"10.1007\/s10209-020-00786-9"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1597","DOI":"10.1109\/JBHI.2013.2292860","article-title":"A Model for Ubiquitous Care of Noncommunicable Diseases","volume":"18","author":"Vianna","year":"2014","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1016\/j.tele.2018.02.005","article-title":"An Intelligent System for Prognosis of Noncommunicable Diseases\u2019 Risk Factors","volume":"35","author":"Pittoli","year":"2018","journal-title":"Telemat. Informatics"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ipl.2019.03.010","article-title":"A scalable model for building context-aware applications for noncommunicable diseases prevention","volume":"148","author":"Vianna","year":"2019","journal-title":"Inf. Process. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Mcheick, H., and Sayegh, J. (2021). A Self-Adaptive and Efficient Context-Aware Healthcare Model for COPD Diseases. Informatics, 8.","DOI":"10.3390\/informatics8030041"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Zubaydi, F., Sagahyroon, A., Aloul, F., Mir, H., and Mahboub, B. (2020). Using Mobiles to Monitor Respiratory Diseases. Informatics, 7.","DOI":"10.3390\/informatics7040056"},{"key":"ref_10","first-page":"105113","article-title":"Development and testing of iAware model for ubiquitous care of patients with symptoms of stress, anxiety and depression","volume":"187","author":"Dias","year":"2020","journal-title":"NCBI Lit. Resour."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"105299","DOI":"10.1016\/j.cmpb.2019.105299","article-title":"Design and evaluation of a context-aware model based on psychophysiology","volume":"189","author":"Bavaresco","year":"2020","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Machado, S.D., da Rosa Tavares, J.E., Martins, M.G., Barbosa, J.L.V., Gonz\u00e1lez, G.V., and Leithardt, V.R.Q. (2021). Ambient Intelligence Based on IoT for Assisting People with Alzheimer\u2019s Disease Through Context Histories. Electronics, 10.","DOI":"10.20944\/preprints202105.0018.v1"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Aranda, J.A.S., Bavaresco, R.S., de Carvalho, J.V., Yamin, A.C., Tavares, M.C., and Barbosa, J.L.V. (2021). A computational model for adaptive recording of vital signs through context histories. J. Ambient. Intell. Humaniz. Comput., 1\u201315.","DOI":"10.1007\/s12652-021-03126-8"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Abdullah, S.S., Rostamzadeh, N., Sedig, K., Lizotte, D.J., Garg, A.X., and McArthur, E. (2020). Machine Learning for Identifying Medication-Associated Acute Kidney Injury. Informatics, 7.","DOI":"10.3390\/informatics7020018"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Abdullah, S.S., Rostamzadeh, N., Sedig, K., Garg, A.X., and McArthur, E. (2020). Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records. Informatics, 7.","DOI":"10.3390\/informatics7020017"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.tele.2017.11.002","article-title":"Gamification and serious games in depression care: A systematic mapping study","volume":"35","author":"Dias","year":"2018","journal-title":"Telemat. Inform."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"103833","DOI":"10.1016\/j.robot.2021.103833","article-title":"A systematic mapping study of robotics in human care","volume":"144","author":"Santos","year":"2018","journal-title":"Robot. Auton. Syst."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Schladen, M.M., Cleary, K., Koumpouros, Y., Monfaredi, R., Salvador, T., Talari, H.F., Slagle, J., Coley, C., Kovelman, S., and Belschner, J. (2020). Toward Evaluation of the Subjective Experience of a General Class of User-Controlled, Robot-Mediated Rehabilitation Technologies for Children with Neuromotor Disability. Informatics, 7.","DOI":"10.20944\/preprints202009.0237.v1"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1089\/tmj.2018.0282","article-title":"Applied Computing to Education on Noncommunicable Chronic Diseases: A Systematic Mapping Study","volume":"26","author":"Larentis","year":"2020","journal-title":"Telemed. e-Health"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2883","DOI":"10.1007\/s12652-019-01409-9","article-title":"Collection and analysis of physiological data in smart environments: A systematic mapping","volume":"11","author":"Aranda","year":"2020","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"107670","DOI":"10.1016\/j.cie.2021.107670","article-title":"Internet of Things and Occupational Well-being in Industry 4.0: A Systematic Mapping Study and Taxonomy","volume":"161","author":"Bavaresco","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Verma, D., Bach, K., and Mork, P.J. (2021). Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics, 8.","DOI":"10.3390\/informatics8030056"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Rostamzadeh, N., Abdullah, S.S., and Sedig, K. (2021). Visual Analytics for Electronic Health Records: A Review. Informatics, 8.","DOI":"10.3390\/informatics8010012"},{"key":"ref_24","first-page":"479","article-title":"The history of the stethoscope and cardiac auscultation","volume":"21","author":"Ferraz","year":"2011","journal-title":"Rev. Med. Minas Gerais"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.1109\/JBHI.2020.2970252","article-title":"Towards domain invariant heart sound abnormality detection using learnable filterbanks","volume":"24","author":"Humayun","year":"2020","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chowdhury, M.E., Khandakar, A., Alzoubi, K., Mansoor, S., Tahir, A.M., Reaz, M.B.I., and Al-Emadi, N. (2019). Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Sensors, 19.","DOI":"10.3390\/s19122781"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"110710","DOI":"10.1109\/ACCESS.2021.3103316","article-title":"Phonocardiogram Signal Based Multi-Class Cardiac Diagnostic Decision Support System","volume":"9","author":"Tiwari","year":"2021","journal-title":"IEEE Access"},{"key":"ref_28","unstructured":"WHO (2021, September 10). World Health Organization. Available online: https:\/\/www.who.int\/health-topics\/cardiovascular-diseases#tab=tab_1,."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"108040","DOI":"10.1016\/j.apacoust.2021.108040","article-title":"Novel three kernelled binary pattern feature extractor based automated PCG sound classification method","volume":"179","author":"Kobat","year":"2021","journal-title":"Appl. Acoust."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1186\/s12938-015-0056-y","article-title":"The electronic stethoscope","volume":"14","author":"Leng","year":"2015","journal-title":"BioMed. Eng. Online"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"49929","DOI":"10.1109\/ACCESS.2021.3068276","article-title":"IoT platform for covid-19 prevention and control: A survey","volume":"9","author":"Dong","year":"2021","journal-title":"IEEE Access"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ukil, A., Jara, A.J., and Marin, L. (2019). Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking. Sensors, 19.","DOI":"10.3390\/s19122733"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"109566","DOI":"10.1016\/j.ejrad.2021.109566","article-title":"How does the radiology community discuss the benefits and limitations of artificial intelligence for their work: A systematic discourse analysis","volume":"136","author":"Kim","year":"2021","journal-title":"Eur. J. Radiol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"100190","DOI":"10.1016\/j.bdr.2021.100190","article-title":"A Framework for Pandemic Prediction Using Big Data Analytics","volume":"25","author":"Ahmed","year":"2021","journal-title":"Big Data Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"36879","DOI":"10.1109\/ACCESS.2021.3062709","article-title":"Advance Machine Learning Methods for Dyslexia Biomarker Detection: A Review of Implementation Details and Challenges","volume":"9","author":"Usman","year":"2021","journal-title":"IEEE Access"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Singh, K.K., and Singh, S.S. (2019, January 26\u201327). An Artificial Intelligence based mobile solution for early detection of valvular heart diseases. Proceedings of the 2019 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT 2019), Bangalore, India.","DOI":"10.1109\/CONECCT47791.2019.9012937"},{"key":"ref_37","unstructured":"Dermeval, D., de M. Coelho, J.A.P., and Bittencourt, I.I. (2020). Mapeamento Sistem\u00e1tico e Revis\u00e3o Sistem\u00e1tica da Literatura em Inform\u00e1tica na Educa\u00e7\u00e3o, SBC. [2nd ed.]."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.infsof.2015.03.007","article-title":"Guidelines for conducting systematic mapping studies in software engineering: An update","volume":"64","author":"Petersen","year":"2015","journal-title":"Inf. Softw. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Maritsch, M., B\u00e9rub\u00e9, C., Kraus, M., Lehmann, V., Z\u00fcger, T., Feuerriegel, S., Kowatsch, T., and Wortmann, F. (2019, January 9\u201313). Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning. Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, London, UK.","DOI":"10.1145\/3341162.3346276"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Ren, Z., Cummins, N., Pandit, V., Han, J., Qian, K., and Schuller, B. (December, January 30). Learning Image-based Representations for Heart Sound Classification. Proceedings of the 2018 International Conference on Digital Health, Guilin, China.","DOI":"10.1145\/3194658.3194671"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Waqar, M., Inam, S., ur Rehman, M.A., Ishaq, M., Afzal, M., Tariq, N., Amin, F., and ul Ain, Q. (2019, January 2\u20133). Arduino Based Cost-Effective Design and Development of a Digital Stethoscope. Proceedings of the 15th International Conference on Emerging Technologies (ICET 2019), Peshawar, Pakistan.","DOI":"10.1109\/ICET48972.2019.8994674"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Frank, P.W.L., and Meng, M.Q.H. (August, January 31). A Low Cost Bluetooth Powered Wearable Digital Stethoscope for Cardiac Murmur. Proceedings of the 2016 IEEE International Conference on Information and Automation (IEEE ICIA 2016), Ningbo, China.","DOI":"10.1109\/ICInfA.2016.7831998"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Fattah, S.A., Rahmana, N.M., Maksuda, A., Foysal, S.I., Chowdhury, R.I., Chowdhury, S.S., and Shahanaz, C. (2017, January 19\u201322). Stetho-phone: Low-cost Digital Stethoscope for Remote Personalized Healthcare. Proceedings of the GHTC 2017\u2014IEEE Global Humanitarian Technology Conference, San Jose, CA, USA.","DOI":"10.1109\/GHTC.2017.8239325"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Szot, S., Levin, A., Ragazzi, A., and T, N. (2019, January 12\u201316). A Wireless Digital Stethoscope Design. Proceedings of the 2018 14th IEEE International Conference on Signal Processing (ICSP), Beijing, China.","DOI":"10.1109\/ICSP.2018.8652475"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Sinharay, A., Ghosh, D., Deshpande, P., Alam, S., Banerjee, R., and Pal, A. (2016, January 19\u201322). Smartphone Based Digital Stethoscope for Connected Health\u2014A direct Acoustic Coupling Technique. Proceedings of the 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2016), Crystal City, VA, USA.","DOI":"10.1109\/CHASE.2016.23"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Suseno, J.E., and Burhanudin, M. (2018, January 15\u201316). The Signal Processing of Heart Sound from Digital Stethoscope for Identification of Heart Condition Using Wavelet Transform and Neural Network. Proceedings of the 2017 1st International Conference on Informatics and Computational Sciences (ICICoS 2017), Semarang, Indonesia.","DOI":"10.1109\/ICICOS.2017.8276354"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Aileni, R.M., Pasca, S., Strungaru, R., and Valderrama, C. (2017, January 22\u201324). Biomedical Signal Acquisition for Respiration Monitoring by Flexible Analog Wearable Sensors Raluca. Proceedings of the 2017 E-Health and Bioengineering Conference (EHB 2017), Sinaia, Romania.","DOI":"10.1109\/EHB.2017.7995366"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ma, Y., Xu, X., Yu, Q., Zhang, Y., Li, Y., Zhao, J., and Wang, G. (2019, January 17\u201319). Live Demo: LungSys\u2014Automatic Digital Stethoscope System For Adventitious Respiratory Sound Detection. Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan.","DOI":"10.1109\/BIOCAS.2019.8918752"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Hall, D.L., McTaggart, M.I., and Jenkins, W.K. (November, January 29). Use of Adaptive Filtering for Improved Performance in Digital Stethoscopes. Proceedings of the 2017 51st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.","DOI":"10.1109\/ACSSC.2017.8335147"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Haibin, W., Yuliang, H., Lihan, L., Yan, W., and Jinbao, Z. (2010, January 5\u20137). Heart Sound Analysis based on Autoregressive Power Spectral Density. Proceedings of the 2010 2nd International Conference on Signal Processing Systems, Dalian, China.","DOI":"10.1109\/ICSPS.2010.5555823"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Aguilera-Astudillo, C., Chavez-Campos, M., Gonzalez-Suarez, A., and Garcia-Cordero, J.L. (2016, January 16\u201320). A Low-cost 3-D Printed Stethoscope Connected to a Smartphone. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Orlando, FL, USA.","DOI":"10.1109\/EMBC.2016.7591694"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Gradl, S., Wirth, M., Zillig, T., and Eskofie, B.M. (2018, January 4\u20137). Visualization of Heart Activity in Virtual Reality: A Biofeedback Application using Wearable Sensors. Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), Las Vegas, NV, USA.","DOI":"10.1109\/BSN.2018.8329681"},{"key":"ref_53","unstructured":"Deepan, D., Banerjee, R., Choudhury, A.D., Bhattacharya, S., Deshpande, P., Pal, A., and Mandana, K.M. (2017, January 11\u201315). Novel Features from Autocorrelation and Spectrum to Classify Phonocardiogram Quality. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Jeju Island, Korea."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Ayari, F., Ksouri, M., and Alouani, A.T. (2012, January 25\u201328). Lung sound extraction from mixed lung and heart sounds FASTICA algorithm. Proceedings of the Mediterranean Electrotechnical Conference\u2014MELECON, Yasmine Hammamet, Tunisia.","DOI":"10.1109\/MELCON.2012.6196444"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Udawatta, L., Abeykoon, A.H.S., Prasanga, D.K., Prasad, S., Perera, W., and Perera, K. (2010, January 24\u201325). Knowledge on Heart Patients Through Stethoscopic Cardiac Murmur Identification for E-Healthcare. Proceedings of the 2010 8th International Conference on ICT and Knowledge Engineering (ICT and KE 2010), Bangkok, Thailand.","DOI":"10.1109\/ICTKE.2010.5692915"},{"key":"ref_56","unstructured":"Malek, S.N.H., Zaki, W.S.W., Joret, A., and Jamil, M.M.A. (December, January 29). Design and Development of Wireless Stethoscope with Data Logging Function. Proceedings of the 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013), Penang, Malaysia."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Das, D., Banerjee, R., Choudhury, A.D., Bhattacharya, S., Deshpande, P., Pal, A., and Mandana, K.M. (2017, January 5\u20139). Noise Detection in Smartphone Phonocardiogram. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, LA, USA.","DOI":"10.1109\/ICASSP.2017.8005305"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Gjoreski, M., Simjanoska, M., Gradisek, A., Peterlin, A., Gams, M., and Poglajen, G. (2017, January 23\u201325). Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifier. Proceedings of the 2017 13th International Conference on Intelligent Environments (IE 2017), Seoul, Korea.","DOI":"10.1109\/IE.2017.19"},{"key":"ref_59","unstructured":"Pereira, D., Hedayioglu, F., Correia, R., Silva, T., Dutra, I., Almeida, F., Mattos, S.S., and Coimbra, M. (3, January 30). DigiScope\u2014Unobtrusive Collection and Annotating of Auscultations in Real Hospital Environments. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Boston, MA, USA."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Banerjee, R., Choudhury, A.D., Deshpande, P., Bhattacharya, S., Pal, A., and Mandana, K.M. (2017, January 11\u201315). A Robust Dataset-agnostic Heart Disease Classifier from Phonocardiogram. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Jeju Island, Korea.","DOI":"10.1109\/EMBC.2017.8037876"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Suhn, T., Sreenivas, A., Mahmoodian, N., Maldonado, I., Alfredo Illanes, A.B., Bloxton, M., and Friebe, M. (2019, January 23\u201327). Design of an Auscultation System for Phonoangiography and Monitoring of Carotid Artery Diseases. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Berlin, Germany.","DOI":"10.1109\/EMBC.2019.8857169"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Gautam, G., and Kumar, D. (2013, January 3\u20135). Biometric System from Heart Sound using Wavelet based feature set. Proceedings of the International Conference on Communication and Signal Processing (ICCSP 2013), Melmaruvathur, India.","DOI":"10.1109\/iccsp.2013.6577115"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Zhang, T.T., Ser, W., Daniel, G.Y.T., Zhang, J., Yu, J., Chua, C., and Louis, I.M. (2010, January 7\u20139). Sound based heart rate monitoring for wearable systems. Proceedings of the 2010 International Conference on Body Sensor Networks (BSN 2010), Singapore.","DOI":"10.1109\/BSN.2010.25"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Doshi, M., Fafadia, M., Oza, S., Deshmukh, A., and Pistolwala, S. (2019, January 4\u20135). Remote Diagnosis of Heart Disease Using Telemedicine. Proceedings of the International Conference on Nascent Technologies in Engineering (ICNTE), Navi Mumbai, India.","DOI":"10.1109\/ICNTE44896.2019.8945967"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Prasad, R., Yilmaz, G., Chetelat, O., and Magimai.-Doss, M. (2020, January 4\u20139). DETECTION OF S1 AND S2 LOCATIONS IN PHONOCARDIOGRAM SIGNALS USING ZERO FREQUENCY FILTER. Proceedings of the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, ON, Canada.","DOI":"10.1109\/ICASSP40776.2020.9053155"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JTEHM.2018.2863366","article-title":"Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest","volume":"6","author":"Rao","year":"2018","journal-title":"IEEE J. Transl. Eng. Health Med."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"89935","DOI":"10.1109\/ACCESS.2020.2993994","article-title":"Multi-Point Near-Field RF Sensing of Blood Pressures and Heartbeat Dynamics","volume":"8","author":"Hui","year":"2020","journal-title":"IEEE Access"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"36955","DOI":"10.1109\/ACCESS.2021.3063129","article-title":"CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings","volume":"9","author":"Shuvo","year":"2021","journal-title":"IEEE Access"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"e17257","DOI":"10.2196\/17257","article-title":"Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation","volume":"8","author":"Du","year":"2019","journal-title":"JMIR Med. Inform."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Elgendi, M., Kumar, S., Guo, L., Rutledge, J., Coe, J.Y., Zemp, R., Schuurmans, D., and Adatia, I. (2015). Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension\u2015Daubechies Wavelets Approach. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0143146"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"29","DOI":"10.2147\/MDER.S135882","article-title":"Digital stethoscope: Technology update","volume":"11","author":"Swarup","year":"2018","journal-title":"Med. Devices Evid. Res."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Raza, A., Mehmood, A., Ullah, S., Ahmad, M., Choi, G.S., and On, B.W. (2019). Heartbeat Sound Signal Classification Using Deep Learning. Sensors, 19.","DOI":"10.3390\/s19214819"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Amiri, A.M., Abtahi, M., Constant, N., and Mankodiya, K. (2017). Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine. Healthcare, 5.","DOI":"10.3390\/healthcare5010016"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1038\/s41746-019-0136-7","article-title":"The use of photoplethysmography for assessing hypertension","volume":"2","author":"Elgendi","year":"2019","journal-title":"NPJ Digit. Med."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"2181","DOI":"10.1088\/0967-3334\/37\/12\/2181","article-title":"An open access database for the evaluation of heart sound algorithms","volume":"37","author":"Liu","year":"2016","journal-title":"Physiol. Meas."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.bspc.2018.05.008","article-title":"A novel heart-mobile interface for detection and classification of heart sounds","volume":"45","author":"Thiyagaraja","year":"2018","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.3389\/fphys.2019.01057","article-title":"Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation","volume":"10","author":"Dehkordi","year":"2019","journal-title":"Front. Physiol."},{"key":"ref_78","first-page":"31","article-title":"Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network","volume":"162","author":"Deperlioglu","year":"2020","journal-title":"Inf. Sci."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"21797","DOI":"10.1038\/s41598-020-77994-z","article-title":"Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling","volume":"10","author":"Wang","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"G\u00f3mez-Quintana, S., Schwarz, C.E., Shelevytsky, I., Shelevytska, V., Semenova, O., Factor, A., Popovici, E., and Temko, A. (2021). A framework for ai-assisted detection of patent ductus arteriosus from neonatal phonocardiogram. Healthcare, 9.","DOI":"10.3390\/healthcare9020169"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"e019905","DOI":"10.1161\/JAHA.120.019905","article-title":"Deep learning algorithm for automated cardiac murmur detection via a digital stethoscope platform","volume":"10","author":"Chorba","year":"2021","journal-title":"J. Am. Heart Assoc."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Soto-Murillo, M.A., Galv\u00e1n-Tejada, J.I., Galv\u00e1n-Tejada, C.E., Celaya-Padilla, J.M., Luna-Garc\u00eda, H., Magallanes-Quintanar, R., Guti\u00e9rrez-Garc\u00eda, T.A., and Gamboa-Rosales, H. (2021). Towards domain invariant heart sound abnormality detection using learnable filterbanks. Healthcare, 9.","DOI":"10.3390\/healthcare9030317"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Balakrishnand, D., Rajkumart, T.D., and Dhanasekaran, S. (2020). An intelligent and secured heart rate monitoring system using IOT. Mater. Today Proc.","DOI":"10.1016\/j.matpr.2020.11.316"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Levin, A.D., Ragazzi, A., Szot, S.L., and Ning, T. (2021). Extraction and assessment of diagnosis-relevant features for heart murmur classification. Methods.","DOI":"10.1016\/j.ymeth.2021.07.002"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2202","DOI":"10.1016\/j.procs.2020.09.257","article-title":"Deep learning for heart disease detection through cardiac sounds","volume":"176","author":"Brunese","year":"2020","journal-title":"Procedia Comput. Sci."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"108152","DOI":"10.1016\/j.apacoust.2021.108152","article-title":"Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features","volume":"180","author":"Er","year":"2021","journal-title":"Appl. Acoust."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ins.2021.01.088","article-title":"Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals","volume":"565","author":"Tuncer","year":"2021","journal-title":"Inf. Sci."},{"key":"ref_88","first-page":"17843","article-title":"Machine learning-based classification of cardiac diseases from PCG recorded heart sounds","volume":"32","author":"Yadav","year":"2020","journal-title":"Inf. Sci."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1007\/s10462-020-09875-w","article-title":"A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks","volume":"54","author":"Zeng","year":"2021","journal-title":"Artif. Intell. Rev."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.inffus.2019.06.004","article-title":"Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook","volume":"53","author":"Santos","year":"2020","journal-title":"Inf. Fusion"},{"key":"ref_91","unstructured":"Van Eck, N.J., and Waltman, L. (2021, September 08). VOSviewer Manual. Available online: https:\/\/www.vosviewer.com\/documentation\/Manual_VOSviewer_1.6.17.pdF."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s40593-015-0047-y","article-title":"A Multi-Temporal Context-aware System for Competences Management","volume":"25","author":"Rosa","year":"2015","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Martini, B.G., Helfer, G.A., Barbosa, J., Modolo, R.C.E., da Silva, M.R., de Figueiredo, R.M., Mendes, A., Silva, L.A., and Leithardt, V.R.Q. (2021). IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories. Sensors, 21.","DOI":"10.3390\/s21051631"},{"key":"ref_94","first-page":"1","article-title":"A recommender system based on context history ontology","volume":"1","author":"Cardoso","year":"2021","journal-title":"IET Softw."},{"key":"ref_95","first-page":"1","article-title":"TrailCare: An indoor and outdoor Context-aware system to assist wheel chair users","volume":"116","author":"Barbosa","year":"2018","journal-title":"IET Softw."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.compind.2016.04.006","article-title":"TrailTrade: A model for trail-aware commerce support","volume":"80","author":"Barbosa","year":"2016","journal-title":"Comput. Ind."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.eswa.2015.09.016","article-title":"ORACON: An adaptive model for context prediction","volume":"45","author":"Barbosa","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Helfer, G.A., Barbosa, J.L.V., Alves, D., da Costa, A.B., Beko, M., and Leithardt, V.R.Q. (2021). Multispectral Cameras and Machine Learning Integrated into Portable Devices as Clay Prediction Technology. J. Sens. Actuator Netw., 10.","DOI":"10.20944\/preprints202105.0630.v1"},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Salazar, L.H., Fernandes, A.M.R., Dazzi, R., Raduenz, J., Garcia, N.M., and Leithardt, V.R.Q. (2020, January 24\u201327). Prediction of Attendance at Medical Appointments Based on Machine Learning. Proceedings of the 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), Sevilla, Spain.","DOI":"10.23919\/CISTI49556.2020.9140973"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1007\/s10044-019-00829-9","article-title":"CHSPAM: A multi-domain model for sequential pattern discovery and monitoring in contexts histories","volume":"23","author":"Dupont","year":"2020","journal-title":"Pattern Anal. Appl."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"106497","DOI":"10.1016\/j.infsof.2020.106497","article-title":"A risk prediction model for software project management based on similarity analysis of context histories","volume":"131","author":"Filippetto","year":"2021","journal-title":"Inf. Softw. Technol."},{"key":"ref_102","unstructured":"Lucca, A.V., Silva, L.A., Luchtenberg, R., Garcez, L., Mao, X., Ovejero, R.G., Pires, I.M., Barbosa, J.L.V., and Leithardt, V.R.Q. (2020). A risk prediction model for software project management based on similarity analysis of context histories. Sensors, 20."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1016\/j.eswa.2013.08.098","article-title":"A model for profile management applied to ubiquitous learning environments","volume":"41","author":"Wagner","year":"2014","journal-title":"Expert Syst. Appl."}],"container-title":["Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2227-9709\/8\/4\/73\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:23:41Z","timestamp":1760167421000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2227-9709\/8\/4\/73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,30]]},"references-count":103,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["informatics8040073"],"URL":"https:\/\/doi.org\/10.3390\/informatics8040073","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints202110.0161.v1","asserted-by":"object"}]},"ISSN":["2227-9709"],"issn-type":[{"value":"2227-9709","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,30]]}}}