{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T18:33:20Z","timestamp":1790620400732,"version":"4.1.0"},"reference-count":21,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"The National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62433002"],"award-info":[{"award-number":["62433002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"The National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62476014"],"award-info":[{"award-number":["62476014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"The Project of Construction and Support for high-level Innovative Teams of Beijing Municipal Institutions","award":["BPHR20220104"],"award-info":[{"award-number":["BPHR20220104"]}]},{"name":"Beijing Scholars Program","award":["099"],"award-info":[{"award-number":["099"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>This paper proposes a unified skeleton-based framework for 3D human pose estimation and Parkinson\u2019s disease classification, integrating a Dual-Stage Adaptive Temporal Perception (DATP) strategy and an Adaptive Graph Topology Modeling Network (AGTM-Net). DATP enhances robustness to joint occlusion and sequence degradation through occlusion-aware interpolation, trend-extrapolated frame padding, and multi-scale spatiotemporal modeling. On the MPI-INF-3DHP dataset with 16 missing joints, DATP achieves 77.72 PCK and 43.57 AUC, outperforming state-of-the-art methods. On Human3.6M, DATP also shows strong generalization with MPJPE reduced to 32.68 mm. For clinical classification, AGTM-Net dynamically models skeletal structure variations and achieves an F1-score of 0.898 and accuracy of 0.881 in distinguishing healthy individuals from Parkinson\u2019s patients with a score of 0 based on the \u201c3.9 Arising from Chair\u201d task. Interpretability analyses\u2014based on gradient and perturbation methods\u2014highlight the spine, chest, and hips as decisive joints, aligning with clinical understanding of gait disorders and enhancing the model\u2019s transparency and clinical reliability.<\/jats:p>","DOI":"10.1371\/journal.pone.0344375","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T17:40:01Z","timestamp":1773942001000},"page":"e0344375","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Robust 3D Pose estimation and Parkinson\u2019s Disease classification via Dual-Stage Adaptive Temporal Perception and graph topology modeling network"],"prefix":"10.1371","volume":"21","author":[{"given":"Min","family":"Zuo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingchao","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4416-6750","authenticated-orcid":true,"given":"Qingchuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shibo","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,3,19]]},"reference":[{"issue":"8","key":"pone.0344375.ref001","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.37188\/CJLCD.2022-0351","article-title":"Lightweight human pose estimation based on adaptive feature sensing","volume":"38","author":"N Wu","year":"2023","journal-title":"Chinese Journal of Liquid Crystals and Displays"},{"issue":"7","key":"pone.0344375.ref002","doi-asserted-by":"crossref","first-page":"955","DOI":"10.37188\/CJLCD.2022-0323","article-title":"Improved lightweight human pose estimation algorithm","volume":"38","author":"M Wang","year":"2023","journal-title":"Chinese Journal of Liquid Crystals and Displays"},{"issue":"20","key":"pone.0344375.ref003","doi-asserted-by":"crossref","first-page":"201509","DOI":"10.3788\/LOP57.201509","article-title":"Human pose estimation based on secondary generation adversary","volume":"57","author":"X Zhang","year":"2020","journal-title":"Laser & Optoelectronics Progress"},{"issue":"2","key":"pone.0344375.ref004","doi-asserted-by":"crossref","first-page":"217","DOI":"10.37188\/CJLCD.2023-0127","article-title":"Human posture estimation and movement recognition in fitness behavior","volume":"39","author":"H Fu","year":"2024","journal-title":"Chinese Journal of Liquid Crystals and Displays"},{"issue":"4","key":"pone.0344375.ref005","doi-asserted-by":"crossref","DOI":"10.1002\/cav.2244","article-title":"Hybrid attention adaptive sampling network for human pose estimation in videos","volume":"35","author":"Q Song","year":"2024","journal-title":"Computer Animation & Virtual"},{"issue":"3","key":"pone.0344375.ref006","article-title":"Bidirectional temporal feature for 3D human pose and shape estimation from a video","volume":"34","author":"L Sun","year":"2023","journal-title":"Comput Anim Virtual Worlds"},{"key":"pone.0344375.ref007","article-title":"Parallel\u2010branch network for 3D human pose and shape estimation in video","volume":"33","author":"Y Wu","year":"2022","journal-title":"Computer Animation & Virtual"},{"key":"pone.0344375.ref008","doi-asserted-by":"crossref","unstructured":"Wang J, Yang F, Li B, Gou W, Yan D, Zeng A, et al. In: 2024. 21978\u201388.","DOI":"10.1109\/CVPR52733.2024.02075"},{"key":"pone.0344375.ref009","doi-asserted-by":"crossref","unstructured":"Cai Y, Zhang W, Wu C. PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization. In: 2024. 2124\u201333.","DOI":"10.1109\/CVPR52733.2024.00207"},{"issue":"2","key":"pone.0344375.ref010","doi-asserted-by":"crossref","first-page":"395","DOI":"10.3233\/JPD-202472","article-title":"Parkinson\u2019s Disease Subtypes: Critical Appraisal and Recommendations","volume":"11","author":"TA Mestre","year":"2021","journal-title":"J Parkinsons Dis"},{"key":"pone.0344375.ref011","doi-asserted-by":"crossref","first-page":"1023574","DOI":"10.3389\/fnagi.2022.1023574","article-title":"Genetic architecture of Parkinson\u2019s disease subtypes","volume":"14","author":"J Dulski","year":"2022","journal-title":"Frontiers in Aging Neuroscience"},{"issue":"5","key":"pone.0344375.ref012","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.3233\/JPD-230209","article-title":"Disease progression of data-driven subtypes of Parkinson\u2019s disease: 5-year longitudinal study","volume":"14","author":"X Deng","year":"2024","journal-title":"Journal of Parkinson\u2019s Disease"},{"key":"pone.0344375.ref013","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1186\/s40537-023-00819-z","article-title":"Classification of long-term clinical course of Parkinson\u2019s disease using clustering algorithms","volume":"10","author":"D Park","year":"2023","journal-title":"J Big Data"},{"issue":"6","key":"pone.0344375.ref014","first-page":"873","article-title":"Deep learning interpretability analysis methods in image interpretation","volume":"51","author":"J Gong","year":"2022","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"issue":"6","key":"pone.0344375.ref015","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0233296","article-title":"Identifying and predicting Parkinson\u2019s disease subtypes via bipartite networks","volume":"15","author":"S Krishnagopal","year":"2020","journal-title":"PloS One"},{"issue":"7","key":"pone.0344375.ref016","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1093\/brain\/awx118","article-title":"Clinical criteria for subtyping Parkinson\u2019s disease","volume":"140","author":"SM Fereshtehnejad","year":"2017","journal-title":"Brain"},{"key":"pone.0344375.ref017","doi-asserted-by":"crossref","unstructured":"Suara S, Jha A, Sinha P, Sekh AA. In: 2023. 124\u201335.","DOI":"10.1007\/978-3-031-58181-6_11"},{"issue":"6","key":"pone.0344375.ref018","doi-asserted-by":"crossref","first-page":"52","DOI":"10.3390\/jimaging6060052","article-title":"Explainable Deep Learning Models in Medical Image Analysis","volume":"6","author":"A Singh","year":"2020","journal-title":"J Imaging"},{"issue":"6","key":"pone.0344375.ref019","first-page":"1141","volume":"44","author":"C Shen","year":"2024","journal-title":"Journal of Southern Medical University"},{"issue":"1","key":"pone.0344375.ref020","first-page":"27","article-title":"An interpretable prediction model for acute kidney injury based on XGBoost and SHAP","volume":"44","author":"Y Luo","year":"2022","journal-title":"Journal of Electronics & Information Technology"},{"issue":"12","key":"pone.0344375.ref021","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0310831","article-title":"TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors","volume":"19","author":"N Ahmed Khan","year":"2024","journal-title":"PLoS One"}],"container-title":["PLOS One"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0344375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T17:40:08Z","timestamp":1773942008000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0344375"}},"subtitle":[],"editor":[{"given":"Paulo Jorge Sim\u00f5es","family":"Coelho","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2026,3,19]]},"references-count":21,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,3,19]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0344375","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,19]]}}}