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Advancements in Digital Biomarkers and Remote Monitoring for Parkinson's Disease Management

Year: 2025

Type: article

Abstract: This systematic review explores the emerging role of digital biomarkers and remote monitoring in Parkinson's Disease management. Synthesized using Synthory.AI, the review evaluates 105 studies from 2018 to 2025, focusing on wearable sensors, machine learning applications, gait analysis, and precision care. Findings demonstrate significant progress in symptom quantification and personalized care, with strong correlations between sensor-derived metrics and clinical assessments. Despite promising results, challenges such as small sample sizes, methodological inconsistencies, and usability barriers persist. Future research should emphasize diverse cohorts and standardized methodologies to enhance clinical applicability and patient outcomes.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15265512

Author: Synthory AI

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6949657571

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