{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T13:33:04Z","timestamp":1750080784040,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030875947"},{"type":"electronic","value":"9783030875954"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87595-4_30","type":"book-chapter","created":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T06:13:22Z","timestamp":1631686402000},"page":"406-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An Augmented Reality-Based Solution for Monitoring Patients Vitals in Surgical Procedures"],"prefix":"10.1007","author":[{"given":"Pasquale","family":"Arpaia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federica","family":"Crauso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Egidio","family":"De Benedetto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luigi","family":"Duraccio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Improta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,16]]},"reference":[{"issue":"5","key":"30_CR1","doi-asserted-by":"publisher","first-page":"1144","DOI":"10.1109\/TITB.2010.2047650","volume":"14","author":"A Alesanco","year":"2010","unstructured":"Alesanco, A., Garc\u00eda, J.: Clinical assessment of wireless ECG transmission in real-time cardiac telemonitoring. IEEE Trans. Inf Technol. Biomed. 14(5), 1144\u20131152 (2010)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"issue":"21","key":"30_CR2","doi-asserted-by":"publisher","first-page":"9575","DOI":"10.1109\/JSEN.2019.2928777","volume":"19","author":"AS Alharthi","year":"2019","unstructured":"Alharthi, A.S., Yunas, S.U., Ozanyan, K.B.: Deep learning for monitoring of human gait: a review. IEEE Sens. J. 19(21), 9575\u20139591 (2019). https:\/\/doi.org\/10.1109\/JSEN.2019.2928777","journal-title":"IEEE Sens. J."},{"issue":"23","key":"30_CR3","doi-asserted-by":"publisher","first-page":"10953","DOI":"10.1109\/JSEN.2019.2935035","volume":"19","author":"B Alotaibi","year":"2019","unstructured":"Alotaibi, B.: Utilizing blockchain to overcome cyber security concerns in the internet of things: a review. IEEE Sens. J. 19(23), 10953\u201310971 (2019)","journal-title":"IEEE Sens. J."},{"key":"30_CR4","doi-asserted-by":"publisher","unstructured":"Angrisani, L., Grazioso, S., Di Gironimo, G., Panariello, D., Tedesco, A.: On the use of soft continuum robots for remote measurement tasks in constrained environments: a brief overview of applications. In: 2019 IEEE International Symposium on Measurements and Networking, M&N 2019 (2019). https:\/\/doi.org\/10.1109\/IWMN.2019.8805050","DOI":"10.1109\/IWMN.2019.8805050"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"1530","DOI":"10.1109\/TIM.2019.2914712","volume":"69","author":"L Angrisani","year":"2019","unstructured":"Angrisani, L., Arpaia, P., Esposito, A., Moccaldi, N.: A wearable brain-computer interface instrument for augmented reality-based inspection in industry 4.0. IEEE Trans. Instrum. Meas. 69, 1530\u20131539 (2019)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"30_CR6","unstructured":"Arpaia, P., Dallet, D., Erra, E., Tedesco, A.: Reliability measurements of an augmented reality-based 4.0 system for supporting workmen in handmade assembly. In: 24th IMEKO TC4 International Symposium and 22nd International Workshop on ADC and DAC Modelling and Testing, pp. 190\u2013195 (2020)"},{"key":"30_CR7","doi-asserted-by":"publisher","unstructured":"Arpaia, P., De Benedetto, E., Duraccio, L.: Design, implementation, and metrological characterization of a wearable, integrated AR-BCI hands-free system for health 4.0 monitoring. Measurement 177, 109280 (2021). https:\/\/doi.org\/10.1016\/j.measurement.2021.109280","DOI":"10.1016\/j.measurement.2021.109280"},{"issue":"9","key":"30_CR8","doi-asserted-by":"publisher","first-page":"11176","DOI":"10.1109\/JSEN.2021.3059636","volume":"21","author":"P Arpaia","year":"2021","unstructured":"Arpaia, P., De Benedetto, E., Dodaro, C.A., Duraccio, L., Servillo, G.: Metrology-based design of a wearable augmented reality system for monitoring patient\u2019s vitals in real time. IEEE Sens. J. 21(9), 11176\u201311183 (2021). https:\/\/doi.org\/10.1109\/JSEN.2021.3059636","journal-title":"IEEE Sens. J."},{"issue":"23","key":"30_CR9","doi-asserted-by":"publisher","first-page":"14024","DOI":"10.1109\/JSEN.2020.3007619","volume":"20","author":"R Bernasconi","year":"2020","unstructured":"Bernasconi, R., Meroni, D., Aliverti, A., Magagnin, L.: Fabrication of a bioimpedance sensor via inkjet printing and selective metallization. IEEE Sens. J. 20(23), 14024\u201314031 (2020)","journal-title":"IEEE Sens. J."},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"14975","DOI":"10.1109\/JSEN.2020.3011417","volume":"20","author":"RA Bloomfield","year":"2020","unstructured":"Bloomfield, R.A., Teeter, M.G., McIsaac, K.A.: A convolutional neural network approach to classifying activities using knee instrumented wearable sensors. IEEE Sens. J. 20, 14975\u201314983 (2020)","journal-title":"IEEE Sens. J."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Cepisca, C., Adochiei, F.C., Potlog, S., Banica, C.K., Seritan, G.C.: Platform for bio-monitoring of vital parameters in critical infrastructures operation. In: 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. E-7. IEEE (2015)","DOI":"10.1109\/ECAI.2015.7301144"},{"issue":"4","key":"30_CR12","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1177\/1553350616646477","volume":"23","author":"JYC Chang","year":"2016","unstructured":"Chang, J.Y.C., Tsui, L.Y., Yeung, K.S.K., Yip, S.W.Y., Leung, G.K.K.: Surgical vision: Google glass and surgery. Surg. Innov. 23(4), 422\u2013426 (2016)","journal-title":"Surg. Innov."},{"key":"30_CR13","doi-asserted-by":"publisher","unstructured":"Condino, S., et al.: Hybrid simulation and planning platform for cryosurgery with Microsoft Hololens. Sensors 21(13) (2021). https:\/\/doi.org\/10.3390\/s21134450","DOI":"10.3390\/s21134450"},{"key":"30_CR14","doi-asserted-by":"publisher","unstructured":"Corchia, L., et al.: Fully-textile, wearable chipless tags for identification and tracking applications. Sensors 20(2) (2020). https:\/\/doi.org\/10.3390\/s20020429","DOI":"10.3390\/s20020429"},{"issue":"21","key":"30_CR15","doi-asserted-by":"publisher","first-page":"10046","DOI":"10.1109\/JSEN.2019.2927823","volume":"19","author":"L Corchia","year":"2019","unstructured":"Corchia, L., Monti, G., De Benedetto, E., Tarricone, L.: Low-cost chipless sensor tags for wearable user interfaces. IEEE Sens. J. 19(21), 10046\u201310053 (2019). https:\/\/doi.org\/10.1109\/JSEN.2019.2927823","journal-title":"IEEE Sens. J."},{"key":"30_CR16","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1109\/ACCESS.2019.2962122","volume":"8","author":"F Cutolo","year":"2020","unstructured":"Cutolo, F., Fida, B., Cattari, N., Ferrari, V.: Software framework for customized augmented reality headsets in medicine. IEEE Access 8, 706\u2013720 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2019.2962122","journal-title":"IEEE Access"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Grazioso, S., Tedesco, A., Selvaggio, M., Debei, S., Chiodini, S.: Towards the development of a cyber-physical measurement system (CPMS): case study of a bioinspired soft growing robot for remote measurement and monitoring applications. ACTA IMEKO 10(2), 103\u2013109 (2021). http:\/\/dx.doi.org\/10.21014\/acta_imeko.v10i2.1123","DOI":"10.21014\/acta_imeko.v10i2.1123"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Grazioso, S., et al.: Design of a soft growing robot as a practical example of cyber-physical measurement systems. In: IEEE Metrology for Industry 4.0 and IoT Proceedings. IEEE (2021). https:\/\/doi.org\/10.1109\/MetroInd4.0IoT51437.2021.9488477","DOI":"10.1109\/MetroInd4.0IoT51437.2021.9488477"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"He, C., Liu, Y., Wang, Y.: Sensor-fusion based augmented-reality surgical navigation system. In: 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, pp. 1\u20135 (May 2016)","DOI":"10.1109\/I2MTC.2016.7520404"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"McDuff, D., Hurter, C., Gonzalez-Franco, M.: Pulse and vital sign measurement in mixed reality using a Hololens. In: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, pp. 1\u20139 (2017)","DOI":"10.1145\/3139131.3139134"},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"15204","DOI":"10.1109\/JSEN.2020.3011985","volume":"20","author":"J Meyer","year":"2020","unstructured":"Meyer, J., Schlebusch, T., Fuhl, W., Kasneci, E.: A novel camera-free eye tracking sensor for augmented reality based on laser scanning. IEEE Sens. J. 20, 15204\u201315212 (2020)","journal-title":"IEEE Sens. J."},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"32258","DOI":"10.1109\/ACCESS.2018.2846609","volume":"6","author":"T Muhammed","year":"2018","unstructured":"Muhammed, T., Mehmood, R., Albeshri, A., Katib, I.: UbeHealth: a personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access 6, 32258\u201332285 (2018)","journal-title":"IEEE Access"},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"248","DOI":"10.3233\/978-1-60750-938-7-248","volume":"94","author":"D Ormerod","year":"2003","unstructured":"Ormerod, D., Ross, B., Naluai-Cecchini, A.: Use of an augmented reality display of patient monitoring data to enhance anesthesiologists\u2019 response to abnormal clinical events. Stud. Health Technol. Inform. 94, 248\u2013250 (2003). https:\/\/doi.org\/10.3233\/978-1-60750-938-7-248","journal-title":"Stud. Health Technol. Inform."},{"key":"30_CR24","doi-asserted-by":"crossref","unstructured":"Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., Liotta, A.: An edge-based architecture to support efficient applications for healthcare industry 4.0. IEEE Trans. Ind. Inform. 15(1), 481\u2013489 (2019)","DOI":"10.1109\/TII.2018.2843169"},{"issue":"2","key":"30_CR25","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1504\/IJTMKT.2016.075690","volume":"11","author":"PA Rauschnabel","year":"2016","unstructured":"Rauschnabel, P.A., Ro, Y.K.: Augmented reality smart glasses: an investigation of technology acceptance drivers. Int. J. Technol. Mark. 11(2), 123\u2013148 (2016)","journal-title":"Int. J. Technol. Mark."},{"issue":"6","key":"30_CR26","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1213\/ane.0b013e31817325cb","volume":"106","author":"PM Sanderson","year":"2008","unstructured":"Sanderson, P.M., et al.: Advanced auditory displays and head-mounted displays: advantages and disadvantages for monitoring by the distracted anesthesiologist. Anesth. Analg. 106(6), 1787\u20131797 (2008)","journal-title":"Anesth. Analg."},{"issue":"10","key":"30_CR27","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.3390\/s20102833","volume":"20","author":"R Schiavoni","year":"2020","unstructured":"Schiavoni, R., et al.: Feasibility of a wearable reflectometric system for sensing skin hydration. Sensors 20(10), 2833 (2020). https:\/\/doi.org\/10.3390\/s20102833","journal-title":"Sensors"},{"issue":"13","key":"30_CR28","doi-asserted-by":"publisher","first-page":"5452","DOI":"10.1109\/JSEN.2016.2564995","volume":"16","author":"E Span\u00f2","year":"2016","unstructured":"Span\u00f2, E., Di Pascoli, S., Iannaccone, G.: Low-power wearable ECG monitoring system for multiple-patient remote monitoring. IEEE Sens. J. 16(13), 5452\u20135462 (2016)","journal-title":"IEEE Sens. J."},{"issue":"18","key":"30_CR29","doi-asserted-by":"publisher","first-page":"10323","DOI":"10.1109\/JSEN.2020.2994552","volume":"20","author":"CN Teague","year":"2020","unstructured":"Teague, C.N., et al.: A wearable, multimodal sensing system to monitor knee joint health. IEEE Sens. J. 20(18), 10323\u201310334 (2020). https:\/\/doi.org\/10.1109\/JSEN.2020.2994552","journal-title":"IEEE Sens. J."},{"issue":"5","key":"30_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/app11052338","volume":"11","author":"R Viglialoro","year":"2021","unstructured":"Viglialoro, R., Condino, S., Turini, G., Carbone, M., Ferrari, V., Gesi, M.: Augmented reality, mixed reality, and hybrid approach in healthcare simulation: a systematic review. Appl. Sci. (Switz.) 11(5), 1\u201320 (2021). https:\/\/doi.org\/10.3390\/app11052338","journal-title":"Appl. Sci. (Switz.)"},{"issue":"14","key":"30_CR31","doi-asserted-by":"publisher","first-page":"6023","DOI":"10.1109\/JSEN.2018.2844122","volume":"18","author":"J Wannenburg","year":"2018","unstructured":"Wannenburg, J., Malekian, R., Hancke, G.P.: Wireless capacitive-based ECG sensing for feature extraction and mobile health monitoring. IEEE Sens. J. 18(14), 6023\u20136032 (2018)","journal-title":"IEEE Sens. J."},{"key":"30_CR32","doi-asserted-by":"publisher","unstructured":"Wehde, M.: Healthcare 4.0. IEEE Eng. Manage. Rev. 47(3), 24\u201328 (2019). https:\/\/doi.org\/10.1109\/EMR.2019.2930702","DOI":"10.1109\/EMR.2019.2930702"},{"issue":"23","key":"30_CR33","doi-asserted-by":"publisher","first-page":"14391","DOI":"10.1109\/JSEN.2020.3009194","volume":"20","author":"B Zhang","year":"2020","unstructured":"Zhang, B., Hong, X., Liu, Y.: Multi-task deep transfer learning method for guided wave-based integrated health monitoring using piezoelectric transducers. IEEE Sens. J. 20(23), 14391\u201314400 (2020)","journal-title":"IEEE Sens. J."}],"container-title":["Lecture Notes in Computer Science","Augmented Reality, Virtual Reality, and Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87595-4_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T06:21:25Z","timestamp":1631686885000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87595-4_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030875947","9783030875954"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87595-4_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"16 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AVR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Augmented Reality, Virtual Reality and Computer Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.salentoavr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}