The First Remote Patient Monitoring Platform for Gait

For decades, gait was neglected—assessed subjectively, inconsistently, and often too late. Providers lacked the tools and time to measure it meaningfully, missing early signs of serious conditions like Peripheral Artery Disease (PAD), Parkinson’s Disease, Normal Pressure Hydrocephalus (NPH), and post-surgical complications.

Today, gait is increasingly recognized as the sixth vital sign—a dynamic biomarker of neurological, vascular, and musculoskeletal health. But most gait assessments still rely on in-clinic observation, making early detection inaccessible at scale.

Introducing Grasshopper Health

Grasshopper is building the first wearable platform for Remote Gait Monitoring (RGM). Our discreet, multi-day patch—worn at the sacrum—captures natural walking patterns during everyday life. We use AI to analyze subtle deviations and transmit insights securely to providers and researchers.

Built around ongoing clinical studies, our platform is designed to support early detection, risk stratification, and therapy monitoring—unlocking gait’s untapped role in modern medicine.

Why We are Here

• Peripheral Artery Disease (PAD): Over 150,000 amputations occur annually in the U.S.—half are preventable with earlier diagnosis.

• Parkinson’s Disease: More than 30% of cases remain undiagnosed until advanced stages, despite early gait disturbances.

• Normal Pressure Hydrocephalus (NPH): Frequently misdiagnosed as dementia, yet treatable if caught early—gait change is often the first sign.

• Post-Acute Recovery:1 in 5 Medicare patients discharged after hospitalization is readmitted within 30 days—often due to undetected functional decline.

Designed for Impact. Collaborating with Leading Institutions

We are partnering with leading institutions to validate gait as a biomarker—enabling earlier diagnosis, better monitoring, and more personalized care.

Grasshopper Health is currently advancing multiple clinical protocols:

• STRIDE-Dx – early detection of gait-related diseases such as PAD, Parkinson’s, and NPH

• GRASS – continuous monitoring of gait recovery and therapy response in older adults post-acute event

• GAIT-AI – foundational training dataset powering future diagnostic-grade AI

These studies are grounded in real-world gait data, shaped by leading researchers, and designed to bring clinical-grade insights out of the lab and into everyday life.

We are actively enrolling clinical trial sites, academic institutions, and health systems to help shape the future of remote gait monitoring. If you're an investigator, clinician, or institutional partner interested in collaborating—we’d love to connect.