Parkinson's Disease

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1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

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Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach
Sep 9, 2026Chandan Biswas, Aryan Singh, Anabik PalCross-Modal Knowledge Distillation Gait Analysis
NeuroAI Fusion Labs Kolkata, India · Indian Institute of Science Education and Research Berhampur, Odisha
Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
Aug 13, 2026Serli Kopar, Sam Gijsen, Abner Hernandez +2Speech Processing Parkinson's Disease
Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Charité–Universitätsmedizin, Department of Psychiatry and Psychotherapy, Berlin, Germany +1
Towards Context-Aware Clinical Motion Understanding in Daily Living at Home: Freezing of Gait Detection with Egocentric Vision
Aug 13, 2026Vayalet Stefanova, Diwas Lamsal, Margot Genbrugge +5Gait Analysis Parkinson's Disease
Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium · Neurorehabilitation Research Group (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium · Institute of Interdisciplinary Exercise Science and Sports Medicine, Medical School Hamburg, Hamburg, Germany +2
Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic Interpretability
Aug 10, 2026Jiaheng Su, Yu SunMechanistic Interpretability Multimodal Anomaly Detection
Independent Researcher, Los Angeles, CA, USA · California State Polytechnic University, Pomona, CA, USA
Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson's Disease
Jul 5, 2026Md Abu Bakr Siddique, Jakub Orłowski, Yan Zhang +1Neuromorphic Computing Parkinson's Disease
Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Michigan, USA · School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland · Department of Biological Sciences, Michigan Technological University, Houghton, Michigan, USA
Backspace as a Natural Experiment: An Accelerated Failure Time Model of Selective Post-Error Motor Impairment in Parkinsons Disease
Jun 30, 2026Navin BondadeMedical Diagnosis Parkinson's Disease
Institute of Health Informatics, University College London
Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features
Jun 26, 2026Aixa X. AndradeClinical Outcome Prediction Explainable Medical Image Analysis
Lyda Hill Department of Bioinformatics · Department of Biomedical Engineering · University of Texas Southwestern Medical Center, Dallas, Texas, USA
Every Step of the Way: Video-based Parkinsonian Turning Step Counting
Jun 26, 2026Qiushuo Cheng, Jingjing Liu, Catherine Morgan +2Gait Analysis Parkinson's Disease
School of Computer Science Faculty of Engineering University of Bristol Bristol, UK · North Bristol NHS Trust Bristol, UK
Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease
Jun 24, 2026Navin BondadeParkinson's Disease
Institute of Health Informatics, University College London
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment
Jun 11, 2026Minlin Zeng, Zhipeng Zhou, Yang Qiu +2Cross-Modal Knowledge Distillation Continual Learning
Nanyang Technological University, Singapore · Pacific Parkinson’s Research Centre, University of British Columbia, Canada
Interpretable Temporal Facial-Region Motion Analysis for In-the-Wild Parkinson's Disease Video Classification
Jun 8, 2026Riyadh AlmushrafyVideo Understanding Medical Diagnosis
Majmaah University, Saudi Arabia · Department of Computer Science and Information, College of Science, Majmaah University, Saudi Arabia
Treatment-Conditioned Diffusion for Forecasting Neurodegenerative Disease Progression
May 28, 2026Danylo Boiko, Viktoriia MishkurovaLongitudinal Medical Image Analysis Clinical Outcome Prediction
Innoloft Inc. 701 Brazos Street, Austin, TX 78701, USA · Bogomolets National Medical University Beresteiskyi Avenue, 34, Kyiv, 03057, Ukraine
Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models
May 24, 2026Muhammad Ashad Kabir, Sirajam MuniraAudio-Language Model Evaluation Zero-Shot Learning
School of Computing, Mathematics and Engineering, Charles Sturt University, NSW, Australia · Department of Computer Science, Rensselaer Polytechnic Institute, NY, USA
CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
May 19, 2026Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1Clinical Decision Support Conformal Prediction
University of Florida · MD Anderson Cancer Center · University of Louisville
From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint
May 15, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Latent Dynamics Modeling Gait Analysis
Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · 2EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · 3Certified Sophrologist and Dental Assistant, Sensorimotor Practice, Montpellier, France +1
A Benchmark for Early-stage Parkinson's Disease Detection from Speech
May 13, 2026Terry Yi Zhong, Cristian Tejedor-Garcia, Khiet P. Truong +3Benchmark Design Speech Processing
Centre for Language Studies, Radboud University, Nijmegen, the Netherlands · Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Nijmegen, the Netherlands
SGC-RML: A reliable and interpretable longitudinal assessment for PD in real-world DNS
May 8, 2026Wenbin Wei, Ruixiang Gao, Suyuan Yao +3Selective Prediction Unified Multimodal Models
∗ Equal contribution. · † Corresponding author.
Observable Performance Does Not Fully Reflect Adaptive System Organization: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
May 1, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Gait Analysis Parkinson's Disease
Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · Certified Sophrologist and Dental Assistant, Sensorimotor Practice, Montpellier, France +1
Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
Apr 27, 2026Nicholas R. Rasmussen, Longwei Wang, Rodrigue Rizk +5Distribution Shift Robustness Electroencephalography
USD AI Research, Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA · Biomedical and Translational Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA · Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom +1
Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals
Apr 20, 2026Meheru ZannatCross-Attention Self-Supervised Time Series Representation Learning
Khulna University of Engineering & Technology (KUET), Bangladesh
STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
Apr 19, 2026Md Mezbahul Islam, John Michael Templeton, Christian Poellabauer +1Multimodal Classification Clinical Prediction
School of Computing & Information Sciences, Florida International University, Miami, FL, USA · College of AI, Cybersecurity and Computing, University of South Florida, Tampa, FL, USA
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
Mar 23, 2026Abner Hernandez, Eunjung Yeo, Kwanghee Choi +12Domain Adaptation Medical Diagnosis
1FAU Erlangen-Nürnberg, Germany · 2UT Austin, USA · 3CMU, USA +5
PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation
Mar 18, 2026Chaeyoung Huh, Hyunmin Hwang, Jung Hwan Shin +3Retrieval-Augmented Generation Clinical Decision Support
1Korea Advanced Institute of Science and Technology, KAIST, Republic of Korea · Department of Neurology, Seoul National University Hospital, Republic of Korea · 3Asan Medical Center, University of Ulsan, College of Medicine, Republic of Korea +1
Detecting and explaining clinical-omics inconsistencies to improve patient cohort stratification: an application to Parkinson's disease
Jul 4, 2025José A. Pardo-Pérez, Tomás Bernal, Jaime Ñiguez +5Medical Diagnosis Unsupervised Anomaly Detection
Department of Information and Communications Engineering, Faculty of Computer Science, University of Murcia, Murcia, Spain. · Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK. · Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA. +1
3rd Place Solution to Human Motion Challenges in Real-World and Clinical Settings (MoCha) @ECCV2026: Language-Aligned Motion Representations for Domain-Generalizable UPDRS-Gait Severity Estimation
Date pendingSoojie Kim, Muhammad Munsif, Minkyung Kim +1Representation Learning Medical Diagnosis
UNIST, South Korea

Sep 9, 2026, cs.CVJ/K move · Enter open · S save

Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach

Chandan Biswas, Aryan Singh, Anabik Pal

NeuroAI Fusion Labs Kolkata, India · Indian Institute of Science Education and Research Berhampur, Odisha

Cross-Modal Knowledge Distillation Gait Analysis Parkinson's Disease Multimodal Sensor Fusion

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Parkinson's disease is a progressive neurodegenerative disorder characterised by gradual deterioration of movement control. Automated freezing-of-gait (FOG) detection supports the objective assessment of gait-related motor impairment. Two common approaches are used for FOG prediction: (i) analysing video recordings of the patient's movements and (ii) analysing data collected using inertial measurement unit (IMU) wearable sensors attached to the patient's lower limbs. Video-based approaches may suffer detection errors during continuous turning-in-place tasks because the lower limbs undergo substantial geometric self-occlusion, degrading pose-estimation accuracy. IMU-based approaches are generally less affected by visual occlusion; however, they are difficult to deploy outside clinical or laboratory settings, as the sensors must be attached securely and remain in place throughout the assessment. Motivated by this, we propose a cross-modal subspace distillation framework to mitigate the limitations of unimodal FOG detection by combining IMU accuracy with video-based practicality. We extract invariant latent topologies from a pre-trained kinematic oracle to structurally supervise a non-encoded visual architecture during training. To resolve periods of severe spatial occlusion, a dual-stream visual model probabilistically fuses skeletal graph nodes and continuous spatial pixels, dynamically shifting reliance to uninterrupted pixel boundaries as joint tracking confidence drops. Evaluated against a public, multi-modal sequence dataset of Parkinson's individuals executing continuous

360^\circ

turns, empirical results demonstrate that applying sensory boundary topologies strictly mitigates tracking evaluation entropy. Our constrained optimisation confirms that highly precise FOG prediction bounds can be achieved over zero-wearable inference environments.

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