{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:47:25Z","timestamp":1740102445368,"version":"3.37.3"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T00:00:00Z","timestamp":1696809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T00:00:00Z","timestamp":1696809600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,9]]},"DOI":"10.1109\/bsn58485.2023.10331360","type":"proceedings-article","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T18:17:25Z","timestamp":1701454645000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Persistence Landscape-based Topological Data Analysis for Personalized Arrhythmia Classification"],"prefix":"10.1109","author":[{"given":"Yushi","family":"Liu","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Yan","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.285.18.2370"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.58.6392"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-017-0109-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1527\/tjsai.D-G72"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.07.222"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3142750"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2023.3275774"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101563"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-017-0294-x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2113395"},{"key":"ref12","first-page":"157","article-title":"Topological estimation using witness complexes","author":"De Silva","year":"2004","journal-title":"PBG"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.900239"}],"event":{"name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","start":{"date-parts":[[2023,10,9]]},"location":"Boston, MA, USA","end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE 19th International Conference on Body Sensor Networks (BSN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10330797\/10330909\/10331360.pdf?arnumber=10331360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T18:34:22Z","timestamp":1707330862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10331360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,9]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/bsn58485.2023.10331360","relation":{},"subject":[],"published":{"date-parts":[[2023,10,9]]}}}