{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:45:04Z","timestamp":1761709504129,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319959566"},{"type":"electronic","value":"9783319959573"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-95957-3_82","type":"book-chapter","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T07:31:20Z","timestamp":1530775880000},"page":"777-788","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Assessment and Rating of Movement Impairment in Parkinson\u2019s Disease Using a Low-Cost Vision-Based System"],"prefix":"10.1007","author":[{"given":"Domenico","family":"Buongiorno","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianpaolo Francesco","family":"Trotta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilaria","family":"Bortone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola","family":"Di Gioia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felice","family":"Avitto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giacomo","family":"Losavio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vitoantonio","family":"Bevilacqua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"82_CR1","doi-asserted-by":"publisher","first-page":"23727","DOI":"10.3390\/s150923727","volume":"15","author":"M Memedi","year":"2015","unstructured":"Memedi, M., Sadikov, A., Groznik, V., \u017dabkar, J., Mo\u017eina, M., Bergquist, F., Johansson, A., Haubenberger, D., Nyholm, D.: Automatic spiral analysis for objective assessment of motor symptoms in Parkinson\u2019s disease. Sensors 15, 23727\u201323744 (2015). https:\/\/doi.org\/10.3390\/s150923727","journal-title":"Sensors"},{"key":"82_CR2","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1002\/mds.22340","volume":"23","author":"CG Goetz","year":"2008","unstructured":"Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M.B., Dodel, R.: Movement Disorder Society-sponsored revision of the Unified Parkinson\u2019s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov. Disord. 23, 2129\u20132170 (2008)","journal-title":"Mov. Disord."},{"key":"82_CR3","doi-asserted-by":"publisher","first-page":"1020","DOI":"10.1002\/mds.20213","volume":"19","author":"CG Goetz","year":"2004","unstructured":"Goetz, C.G., Poewe, W., Rascol, O., Sampaio, C., Stebbins, G.T., Counsell, C., Giladi, N., Holloway, R.G., Moore, C.G., Wenning, G.K., Yahr, M.D., Seidl, L.: Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: status and recommendations. Mov. Disord. 19, 1020\u20131028 (2004). https:\/\/doi.org\/10.1002\/mds.20213","journal-title":"Mov. Disord."},{"key":"82_CR4","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TNSRE.2013.2287241","volume":"22","author":"MD Djuric-Jovicic","year":"2014","unstructured":"Djuric-Jovicic, M.D., Jovicic, N.S., Radovanovic, S.M., Stankovic, I.D., Popovic, M.B., Kostic, V.S.: Automatic identification and classification of freezing of gait episodes in Parkinson\u2019s disease patients. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 685\u2013694 (2014). https:\/\/doi.org\/10.1109\/TNSRE.2013.2287241","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"82_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.cmpb.2012.10.016","volume":"110","author":"EE Tripoliti","year":"2013","unstructured":"Tripoliti, E.E., Tzallas, A.T., Tsipouras, M.G., Rigas, G., Bougia, P., Leontiou, M., Konitsiotis, S., Chondrogiorgi, M., Tsouli, S., Fotiadis, D.I.: Automatic detection of freezing of gait events in patients with Parkinson\u2019s disease. Comput. Methods Programs Biomed. 110, 12\u201326 (2013). https:\/\/doi.org\/10.1016\/j.cmpb.2012.10.016","journal-title":"Comput. Methods Programs Biomed."},{"key":"82_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1007\/978-3-319-63312-1_44","volume-title":"Intelligent Computing Theories and Application","author":"I Bortone","year":"2017","unstructured":"Bortone, I., et al.: A novel approach in combination of 3D gait analysis data for aiding clinical decision-making in patients with Parkinson\u2019s Disease. In: Huang, D.-S., Jo, K.-H., Figueroa-Garc\u00eda, J.C. (eds.) ICIC 2017. LNCS, vol. 10362, pp. 504\u2013514. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-63312-1_44"},{"key":"82_CR7","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/TBME.2009.2036000","volume":"57","author":"A Tsanas","year":"2010","unstructured":"Tsanas, A., Little, M.A., McSharry, P.E., Ramig, L.O.: Accurate telemonitoring of parkinsons disease progression by noninvasive speech tests. IEEE Trans. Biomed. Eng. 57, 884\u2013893 (2010). https:\/\/doi.org\/10.1109\/TBME.2009.2036000","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"82_CR8","doi-asserted-by":"publisher","first-page":"1752","DOI":"10.1109\/TBME.2011.2116017","volume":"58","author":"S Mellone","year":"2011","unstructured":"Mellone, S., Palmerini, L., Cappello, A., Chiari, L.: Hilbert-Huang-based tremor removal to assess postural properties from accelerometers. IEEE Trans. Biomed. Eng. 58, 1752\u20131761 (2011). https:\/\/doi.org\/10.1109\/TBME.2011.2116017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"82_CR9","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1016\/j.parkreldis.2014.02.022","volume":"20","author":"DA Heldman","year":"2014","unstructured":"Heldman, D.A., Espay, A.J., LeWitt, P.A., Giuffrida, J.P.: Clinician versus machine: reliability and responsiveness of motor endpoints in Parkinson\u2019s disease. Park. Relat. Disord. 20, 590\u2013595 (2014). https:\/\/doi.org\/10.1016\/j.parkreldis.2014.02.022","journal-title":"Park. Relat. Disord."},{"key":"82_CR10","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1109\/TITB.2011.2182616","volume":"16","author":"G Rigas","year":"2012","unstructured":"Rigas, G., Tzallas, A.T., Tsipouras, M.G., Bougia, P., Tripoliti, E.E., Baga, D., Fotiadis, D.I., Tsouli, S.G., Konitsiotis, S.: Assessment of tremor activity in the parkinsons disease using a set of wearable sensors. IEEE Trans. Inf Technol. Biomed. 16, 478\u2013487 (2012). https:\/\/doi.org\/10.1109\/TITB.2011.2182616","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"82_CR11","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1007\/978-3-319-60483-1_12","volume-title":"Advances in Human Factors and Ergonomics in Healthcare and Medical Devices","author":"V Bevilacqua","year":"2018","unstructured":"Bevilacqua, V., et al.: A RGB-D sensor based tool for assessment and rating of movement disorders. In: Duffy, V., Lightner, N. (eds.) AHFE 2017. AISC, vol. 590, pp. 110\u2013118. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-60483-1_12"},{"key":"82_CR12","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1109\/TBME.2006.886670","volume":"54","author":"A Salarian","year":"2007","unstructured":"Salarian, A., Russmann, H., Wider, C., Burkhard, P.R., Vingerhoets, F.J.G., Aminian, K.: Quantification of tremor and bradykinesia in Parkinson\u2019s disease using a novel ambulatory monitoring system. IEEE Trans. Biomed. Eng. 54, 313\u2013322 (2007). https:\/\/doi.org\/10.1109\/TBME.2006.886670","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"82_CR13","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1186\/s12938-015-0067-8","volume":"14","author":"H Dai","year":"2015","unstructured":"Dai, H., Lin, H., Lueth, T.C.: Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit. Biomed. Eng. Online 14, 68 (2015). https:\/\/doi.org\/10.1186\/s12938-015-0067-8","journal-title":"Biomed. Eng. Online"},{"key":"82_CR14","doi-asserted-by":"publisher","first-page":"47","DOI":"10.3233\/JPD-2012-11071","volume":"2","author":"RI Griffiths","year":"2012","unstructured":"Griffiths, R.I., Kotschet, K., Arfon, S., Xu, Z.M., Johnson, W., Drago, J., Evans, A., Kempster, P., Raghav, S., Horne, M.K.: Automated assessment of bradykinesia and dyskinesia in Parkinson\u2019s disease. J. Parkinsons Dis. 2, 47\u201355 (2012). https:\/\/doi.org\/10.3233\/JPD-2012-11071","journal-title":"J. Parkinsons Dis."},{"key":"82_CR15","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1002\/mds.10310","volume":"18","author":"NLW Keijsers","year":"2003","unstructured":"Keijsers, N.L.W., Horstink, M.W.I.M., Gielen, S.C.A.M.: Automatic assessment of levodopa-induced dyskinesias in daily life by neural networks. Mov. Disord. 18, 70\u201380 (2003). https:\/\/doi.org\/10.1002\/mds.10310","journal-title":"Mov. Disord."},{"key":"82_CR16","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1002\/mds.26313","volume":"30","author":"G Lopane","year":"2015","unstructured":"Lopane, G., Mellone, S., Chiari, L., Cortelli, P., Calandra-Buonaura, G., Contin, M.: Dyskinesia detection and monitoring by a single sensor in patients with Parkinson\u2019s disease. Mov. Disord. 30, 1267\u20131271 (2015). https:\/\/doi.org\/10.1002\/mds.26313","journal-title":"Mov. Disord."},{"key":"82_CR17","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1002\/mds.21874","volume":"23","author":"R Saunders-Pullman","year":"2008","unstructured":"Saunders-Pullman, R., Derby, C., Stanley, K., Floyd, A., Bressman, S., Lipton, R.B., Deligtisch, A., Severt, L., Yu, Q., Kurtis, M., Pullman, S.L.: Validity of spiral analysis in early Parkinson\u2019s disease. Mov. Disord. 23, 531\u2013537 (2008)","journal-title":"Mov. Disord."},{"key":"82_CR18","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.jneumeth.2010.04.027","volume":"190","author":"J Westin","year":"2010","unstructured":"Westin, J., Ghiamati, S., Memedi, M., Nyholm, D., Johansson, A., Dougherty, M., Groth, T.: A new computer method for assessing drawing impairment in Parkinson\u2019s disease. J. Neurosci. Methods 190, 143\u2013148 (2010). https:\/\/doi.org\/10.1016\/j.jneumeth.2010.04.027","journal-title":"J. Neurosci. Methods"},{"key":"82_CR19","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.jneumeth.2004.10.005","volume":"144","author":"X Liu","year":"2005","unstructured":"Liu, X., Carroll, C.B., Wang, S.Y., Zajicek, J., Bain, P.G.: Quantifying drug-induced dyskinesias in the arms using digitised spiral-drawing tasks. J. Neurosci. Methods 144, 47\u201352 (2005). https:\/\/doi.org\/10.1016\/j.jneumeth.2004.10.005","journal-title":"J. Neurosci. Methods"},{"key":"82_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/978-3-319-63312-1_43","volume-title":"Intelligent Computing Theories and Application","author":"C Loconsole","year":"2017","unstructured":"Loconsole, C., et al.: Computer vision and EMG-based handwriting analysis for classification in Parkinson\u2019s disease. In: Huang, D.-S., Jo, K.-H., Figueroa-Garc\u00eda, J.C. (eds.) ICIC 2017. LNCS, vol. 10362, pp. 493\u2013503. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-63312-1_43"},{"key":"82_CR21","doi-asserted-by":"publisher","unstructured":"Bevilacqua, V., Salatino, A.A., Di Leo, C., Tattoli, G., Buongiorno, D., Signorile, D., Babiloni, C., Del Percio, C., Triggiani, A.I., Gesualdo, L.: Advanced classification of Alzheimer\u2019s disease and healthy subjects based on EEG markers. In: Proceedings of the International Joint Conference on Neural Networks (2015). https:\/\/doi.org\/10.1109\/ijcnn.2015.7280463","DOI":"10.1109\/ijcnn.2015.7280463"},{"key":"82_CR22","doi-asserted-by":"publisher","unstructured":"Buongiorno, D., Barsotti, M., Sotgiu, E., Loconsole, C., Solazzi, M., Bevilacqua, V., Frisoli, A.: A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles. In: 2015 IEEE World Haptics Conference (WHC), pp. 273\u2013279 (2015). https:\/\/doi.org\/10.1109\/whc.2015.7177725","DOI":"10.1109\/whc.2015.7177725"},{"key":"82_CR23","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.imavis.2006.01.027","volume":"25","author":"V Bevilacqua","year":"2007","unstructured":"Bevilacqua, V., Mastronardi, G., Piscopo, G.: Evolutionary approach to inverse planning in coplanar radiotherapy. Image Vis. Comput. 25, 196\u2013203 (2007). https:\/\/doi.org\/10.1016\/j.imavis.2006.01.027","journal-title":"Image Vis. Comput."},{"key":"82_CR24","doi-asserted-by":"publisher","first-page":"S4","DOI":"10.1186\/1471-2105-10-S12-S4","volume":"10","author":"F Menolascina","year":"2009","unstructured":"Menolascina, F., Bellomo, D., Maiwald, T., Bevilacqua, V., Ciminelli, C., Paradiso, A., Tommasi, S.: Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering. BMC Bioinf. 10, S4 (2009). https:\/\/doi.org\/10.1186\/1471-2105-10-S12-S4","journal-title":"BMC Bioinf."},{"key":"82_CR25","doi-asserted-by":"publisher","unstructured":"Menolascina, F., Tommasi, S., Paradiso, A., Cortellino, M., Bevilacqua, V., Mastronardi, G.: Novel data mining techniques in aCGH based breast cancer subtypes profiling: the biological perspective. In: 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007, pp. 9\u201316 (2007). https:\/\/doi.org\/10.1109\/cibcb.2007.4221198","DOI":"10.1109\/cibcb.2007.4221198"},{"key":"82_CR26","doi-asserted-by":"publisher","unstructured":"Bevilacqua, V., Tattoli, G., Buongiorno, D., Loconsole, C., Leonardis, D., Barsotti, M., Frisoli, A., Bergamasco, M.: A novel BCI-SSVEP based approach for control of walking in virtual environment using a convolutional neural network. In: Proceedings of the International Joint Conference on Neural Networks (2014). https:\/\/doi.org\/10.1109\/ijcnn.2014.6889955","DOI":"10.1109\/ijcnn.2014.6889955"},{"key":"82_CR27","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1016\/j.apergo.2017.02.015","volume":"65","author":"VM Manghisi","year":"2017","unstructured":"Manghisi, V.M., Uva, A.E., Fiorentino, M., Bevilacqua, V., Trotta, G.F., Monno, G.: Real time RULA assessment using kinect v2 sensor. Appl. Ergon. 65, 481\u2013491 (2017). https:\/\/doi.org\/10.1016\/j.apergo.2017.02.015","journal-title":"Appl. Ergon."},{"key":"82_CR28","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1007\/978-3-540-85984-0_147","volume-title":"Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence","author":"V Bevilacqua","year":"2008","unstructured":"Bevilacqua, V., et al.: Retinal Fundus Biometric Analysis for Personal Identifications. In: Huang, D.-S., Wunsch, D.C., Levine, D.S., Jo, K.-H. (eds.) ICIC 2008. LNCS (LNAI), vol. 5227, pp. 1229\u20131237. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-85984-0_147"},{"key":"82_CR29","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/10.553712","volume":"44","author":"PP Kanjilal","year":"1997","unstructured":"Kanjilal, P.P., Palit, S., Saha, G.: Fetal ECG extraction from single-channel maternal ECG using singular value decomposition. IEEE Trans. Biomed. Eng. 44, 51\u201359 (1997). https:\/\/doi.org\/10.1109\/10.553712","journal-title":"IEEE Trans. Biomed. Eng."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95957-3_82","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:30:28Z","timestamp":1710325828000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-95957-3_82"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319959566","9783319959573"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95957-3_82","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2018\/index.htm","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":"LOD","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"632","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":"275","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":"72","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":"44% - 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":"3.46","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":"0","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)"}}]}}