US EditionDiagnostic Pen Converts Handwriting Into Electrical Signals to Detect Parkinson's
- Researchers at UCLA developed a diagnostic pen on June 2025 that converts handwriting motions into electrical signals to detect Parkinson's disease.
- This development follows the understanding that Parkinson's impairs motor skills essential for handwriting and current diagnoses rely on subjective clinical judgments lacking objective criteria.
- The pen uses magnetic ink and a soft magnetoelastic tip to capture subtle hand movements, which a neural network analyzes to distinguish Parkinson's patients from healthy individuals with high fidelity.
- In a pilot study with 16 participants, including 3 with Parkinson's, the pen achieved an accuracy of over 96.22%, demonstrating potential for early, low-cost, and accessible diagnostics.
- The pen could improve widespread Parkinson's detection, especially in resource-limited areas, but experts call for larger, diverse studies to confirm its clinical value and utility.
14 Articles
14 Articles
By hand or machine? The advertising circuit today has become a difference that impacts how the brain processes and remembers things. In the era in which the brain...
Pen containing magnetic ink and AI technology able to determine presence of Parkinson’s disease
A research team from the University of California, Los Angeles (UCLA) has developed a pen containing magnetic ink and artificial intelligence (AI) technology that can determine the presence of Parkinson's disease from the subtle handwriting movements. The device is expected to enable early, low-cost, and accurate diagnosis of the disease across large populations and in resource-limited settings.
Diagnostic pen converts handwriting into electrical signals to detect Parkinson's
A team at the University of California, Los Angeles has developed a low-cost diagnostic pen that converts handwriting into electrical signals for early detection of Parkinson's disease, achieving 96.22% accuracy in a pilot study.
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with significant clinical implications. Early and accurate diagnosis of PD is cruci…
New Diagnostic Framework Enhances PD Staging in BioFIND
In recent years, the quest to unravel the complexities of Parkinson’s disease (PD) has taken an innovative leap forward, with researchers continually seeking refined methods to diagnose and stage this neurodegenerative disorder more accurately. A groundbreaking study led by M.J. Russo and U.J. Kang, within the renowned BioFIND cohort, introduces a transformative diagnostic and staging framework that promises to reshape how established Parkinson’…
Coverage Details
Bias Distribution
- 50% of the sources lean Left
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage
