NeuroSense Early Detection of Parkinson Disease

To effectively evaluate fine motor function and detect early Parkinson's symptoms, NeuroSense incorporates the Spiral Drawing Test (SDT) module as a core component. This module captures hand movements through a digital stylus and, optionally, wearable glove sensors to measure tremor, grip, and drawing irregularities. The development and refinement of the SDT module are iterative and data-driven, focusing on minimizing uncertainty in measurement accuracy, feature extraction, and AI-based analysis. Early iterations of the module involve prototyping the digital spiral interface and collecting baseline hand movement data. Subsequent refinements integrate advanced signal processing, tremor quantification, and machine learning models for classifying normal versus abnormal patterns. Continuous feedback from clinicians and patient trials guides improvements in usability, sensor calibration, and diagnostic reliability. By iteratively validating and enhancing the Spiral Drawing Test module, NeuroSense ensures accurate, non-invasive, and clinically actionable assessments of motor function, supporting early detection and monitoring of Parkinson's disease.