Our Work
CerebraLink develops accessible, data-driven tools to detect early signs of Parkinson’s disease. Each system translates subtle biological signals into meaningful insights — turning everyday motion and vision into powerful diagnostic data.
Explore two of our core innovations below: SoleSense, a gait-analysis wearable, and GRASP, a vision-based detection platform.
In Clinical Testing
SoleSense
SoleSense is a wearable insole and analytics system that measures gait symmetry, tremor intensity, and foot pressure distribution to detect early motor irregularities linked to Parkinson’s disease.
Using an array of pressure sensors and inertial measurement units (IMUs), SoleSense captures micro-variations in walking patterns that are often invisible to the naked eye.
In Computational Testing
GRASP
GRASP (Gaze-Related Analysis for Symptom Prediction) is a vision-based AI system that analyzes eye movement, smooth pursuit, and fixation patterns through standard camera input to detect neurological irregularities associated with Parkinson’s and related disorders.
By tracking both eyes and quantifying jerkiness, saccadic intrusions, and color/contrast sensitivity, GRASP transforms visual data into diagnostic insights — without requiring specialized hardware.