Buchumschlag

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Rashnu, Alireza, Salimi-Badr, Armin
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Signal Processing Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis
von: Salimi-Badr, Armin, et al.
Veröffentlicht: (2025)

Parkinson's Disease Freezing of Gait (FoG) Symptom Detection Using Machine Learning from Wearable Sensor Data
von: Hasan, Mahmudul
Veröffentlicht: (2025)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
von: Soumma, Shovito Barua, et al.
Veröffentlicht: (2024)

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
von: Cohen, Seffi, et al.
Veröffentlicht: (2024)

Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network
von: Soliman, Abdelrhman Y., et al.
Veröffentlicht: (2024)

Lightweight Multi-task CNN for ECG Diagnosis with GRU-Diffusion
von: Xu, Lehuai, et al.
Veröffentlicht: (2025)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
von: Soumma, Shovito Barua, et al.
Veröffentlicht: (2024)

Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data
von: Paucar-Escalante, Jesus, et al.
Veröffentlicht: (2025)

Floor Plan-Agnostic Detection of Gait Speed Drifts Using Ambient Sensors
von: Vicini, Marina, et al.
Veröffentlicht: (2026)

Robust Proximity Detection using On-Device Gait Monitoring
von: Hu, Yuqian, et al.
Veröffentlicht: (2024)

An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
von: Saadatinia, Mehrshad, et al.
Veröffentlicht: (2023)

Mental Stress Detection: Development and Evaluation of a Wearable In-Ear Plethysmography
von: Barki, Hika, et al.
Veröffentlicht: (2024)

DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
von: Li, Chia-Hao, et al.
Veröffentlicht: (2023)

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach
von: Baranwal, Tanish, et al.
Veröffentlicht: (2025)

Measurement-based Evaluation of CNN-based Detection and Estimation for ISAC Systems
von: Schieler, Steffen, et al.
Veröffentlicht: (2025)

SWIPTNet: A Unified Deep Learning Framework for SWIPT based on GNN and Transfer Learning
von: Han, Hong, et al.
Veröffentlicht: (2025)

Stress Detection Using Wearable Physiological and Sociometric Sensors
von: Mozos, Oscar Martinez, et al.
Veröffentlicht: (2026)

The Patchkeeper: An Integrated Wearable Electronic Stethoscope with Multiple Sensors
von: Li, Hongwei, et al.
Veröffentlicht: (2024)

Wearable AI in the Era of Large Sensor Models
von: Cai, Yize, et al.
Veröffentlicht: (2026)

Real-time Seismic Intensity Prediction using Self-supervised Contrastive GNN for Earthquake Early Warning
von: Murshed, Rafid Umayer, et al.
Veröffentlicht: (2023)

Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
von: Wang, Chunzhuo, et al.
Veröffentlicht: (2025)

Deep-seeded Clustering for Emotion Recognition from Wearable Physiological Sensors
von: Conceição, Marta A., et al.
Veröffentlicht: (2023)

Markovian Block Sparse Signal Detection Using One Bit Measurements
von: Hariri, Alireza, et al.
Veröffentlicht: (2024)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
von: Sigcha, Luis, et al.
Veröffentlicht: (2024)

Forged Channel: A Breakthrough Approach for Accurate Parkinson's Disease Classification using Leave-One-Subject-Out Cross-Validation
von: Hamidi, A., et al.
Veröffentlicht: (2023)

Real-Time Forecasting of Pathological Gait via IMU Navigation: A Few-Shot and Generative Learning Framework for Wearable Devices
von: Zhang, Wenwen, et al.
Veröffentlicht: (2024)

Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data
von: Saffarpour, Mahya, et al.
Veröffentlicht: (2024)

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
von: Vu, Hoang-Dieu, et al.
Veröffentlicht: (2025)

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
von: Katta, Srikar, et al.
Veröffentlicht: (2023)

Parkinson Disease Detection Based on In-air Dynamics Feature Extraction and Selection Using Machine Learning
von: Shin, Jungpil, et al.
Veröffentlicht: (2024)

Evidence for Phenotype-Driven Disparities in Freezing of Gait Detection and Approaches to Bias Mitigation
von: Odonga, Timothy, et al.
Veröffentlicht: (2025)

Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems
von: Morsali, Alireza, et al.
Veröffentlicht: (2021)

A Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision
von: Chen, Jiangang, et al.
Veröffentlicht: (2024)

Gait Disorder Assessment Based on a Large-Scale Clinical Trial: WiFi vs. Video vs. Doctor's Visual Inspection
von: Parsay, Alireza, et al.
Veröffentlicht: (2025)

Few-Shot Recognition and Classification Framework for Jamming Signal: A CGAN-Based Fusion CNN Approach
von: Ding, Xuhui, et al.
Veröffentlicht: (2023)

i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring
von: Dheman, Kanika, et al.
Veröffentlicht: (2024)

Gait Analysis using 6DoF Magnetic Tracking
von: Shankar, R. Abhishek, et al.
Veröffentlicht: (2025)

GSM: A GNN-based Space-MIMO Framework for Direct-to-Cell Communications
von: Xu, Sai, et al.
Veröffentlicht: (2024)

Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG
von: Huang, Luffina C.
Veröffentlicht: (2023)

Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
von: Jeon, Eun Som, et al.
Veröffentlicht: (2024)