{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T05:20:00Z","timestamp":1766294400481,"version":"3.48.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,18]]},"DOI":"10.1109\/sipaim67325.2025.11283304","type":"proceedings-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:30:51Z","timestamp":1766082651000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Classifying early stages of Parkinson\u2019s Disease by constructing a temporal latent space"],"prefix":"10.1109","author":[{"given":"Diana","family":"Poveda","sequence":"first","affiliation":[{"name":"Universidad Nacional de Colombia,CIMAL@b,Bogotá,Colombia"}]},{"given":"Gustavo","family":"Pineda","sequence":"additional","affiliation":[{"name":"Universidad Nacional de Colombia,CIMAL@b,Bogotá,Colombia"}]},{"given":"Vanessa","family":"Paredes","sequence":"additional","affiliation":[{"name":"Universidad Nacional de Colombia,CIMAL@b,Bogotá,Colombia"}]},{"given":"Eduardo","family":"Romero","sequence":"additional","affiliation":[{"name":"Universidad Nacional de Colombia,CIMAL@b,Bogotá,Colombia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/mds.29995"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.25844"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26424"},{"issue":"suppl. 2","key":"ref4","first-page":"S287","article-title":"Identifying subtle motor deficits before Parkinson\u2019s disease is diagnosed: What to look for?","volume-title":"J. Parkinsons Dis","volume":"14","author":"Maetzler","year":"2024"},{"key":"ref5","first-page":"22648","article-title":"Convolutional neural network based detection of early stage Parkinson\u2019s disease using the six minute walk test","volume-title":"Sci. Rep","volume":"14","author":"Choi","year":"2024"},{"issue":"22","key":"ref6","first-page":"24461","article-title":"Gait-based classification of Parkinson\u2019s disease using wearable sensors: A review","volume-title":"IEEE Sens. J","volume":"21","author":"Saleh","year":"2021"},{"key":"ref7","first-page":"8624","article-title":"Enhancing Parkinson disease detection through feature based deep learning with autoencoders and neural networks","volume-title":"Sci. Rep","volume":"15","author":"Valarmathi","year":"2025"},{"key":"ref8","first-page":"123158","article-title":"Feasibility of differentiating gait in Parkinson\u2019s disease and spinocerebellar degeneration using a pose estimation algorithm in two-dimensional video","volume-title":"J. Neurol. Sci","volume":"464","author":"Eguchi","year":"2024"},{"issue":"8","key":"ref9","first-page":"2430","article-title":"Assessment of temporospatial and kinematic gait parameters using human pose estimation in patients with Parkinson\u2019s disease: A comparison between near-frontal and lateral views","volume-title":"Sensors","volume":"24","author":"Watanabe","year":"2024"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2024.1520831"},{"key":"ref11","first-page":"147 818","article-title":"Multitask deep learning for predicting parkinson\u2019s progression and depression from multimodal time series data","volume-title":"IEEE Access","volume":"13","author":"Junaid","year":"2025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-021-00290-0"},{"issue":"1","key":"ref13","first-page":"11","article-title":"Determinati\u00f3n de puntos de corte de gravedad de la enfermedad de parkinson con la escala de webster","volume-title":"Rev. Fac. Med","volume":"70","author":"Rodr\u00edguez","year":"2022"},{"issue":"1","key":"ref14","first-page":"16","article-title":"METRAbs: Metric-scale truncation-robust heatmaps for absolute 3D human pose estimation","volume-title":"IEEE Trans. Biom. Behav. Identity Sci","volume":"3","author":"S\u00e1ir\u00e1indi","year":"2021"},{"issue":"3","key":"ref15","first-page":"1218","article-title":"Methods for spatiotemporal analysis of human gait based on data from depth sensors","volume-title":"Sensors","volume":"23","author":"Wagner","year":"2023"},{"key":"ref16","first-page":"84","article-title":"Classification of subjects with parkinson\u2019s disease using gait data analysis","author":"Mittra","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-024-01507-y"},{"issue":"8","key":"ref18","first-page":"1227","article-title":"Wi-fiag: Fine-grained abnormal gait recognition via cnn-bigru with attention mechanism from wi-fi csi","volume-title":"Mathematics","volume":"13","author":"Dong","year":"2025"}],"event":{"name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","start":{"date-parts":[[2025,11,18]]},"location":"Pasto, Colombia","end":{"date-parts":[[2025,11,21]]}},"container-title":["2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11283136\/11283142\/11283304.pdf?arnumber=11283304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T05:16:48Z","timestamp":1766294208000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11283304\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,18]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/sipaim67325.2025.11283304","relation":{},"subject":[],"published":{"date-parts":[[2025,11,18]]}}}