Place the lightweight Axis Patch™ on the patient’s lower back, where it naturally captures real-world movement from the body’s center of mass.
The patch connects to the patient’s smartphone, securely streaming continuous gait data through the Grasshopper mobile app and applying advanced machine learning models to thousands of steps per day without clinic visits.
Clinicians access clear mobility insights through Grasshopper’s AI-enabled Motus™ Platform to support remote patient monitoring and assist with surfacing early signs of disease and regression long before symptoms appear.
At Grasshopper Health, we believe in a future where gait is recognized, measured and acted upon as a standard vital sign.
In our video, hear from the developers at Grasshopper, as well as from our team of advisors, about our vision to enable earlier and more precise disease monitoring and longer, healthier independence.
With real-world gait data, Grasshopper Health helps capture early signs of disease progression and can help initiate treatment response, particularly for:
PAD’s early gait changes of slower, shorter and asymmetric steps often appear before pain.
Gait changes with reduced arm swinging, shuffling and turning difficulty can precede Parkinson’s.
NPH’s magnetic gait and difficulty initiating movement are frequently overlooked.
A slow, shuffling gait and balance challenges are often a precursor to Alzheimer’s.
Whether supporting institutions, researchers or clinicians, Grasshopper Health makes early measurement and ongoing monitoring accessible, scalable and clinically meaningful.
With the Axis PatchTM, clinicians get continuous, real-world visibility to inform earlier care decisions.
Facilities can improve outcomes with functional monitoring that’s integrated seamlessly into existing technology.
Born in research labs, Grasshopper’s principal investigators are paving the way with early-detection science.
