Grasshopper Health provides the Axis Patch™, a disposable lower‑back wearable that continuously records real‑world gait data, which is processed by the AI‑driven Motus™ Platform into actionable mobility metrics. The cloud‑based dashboard delivers clinicians and researchers objective, longitudinal gait biomarkers and alerts for early disease‑related changes, enabling remote monitoring and earlier intervention.
Funding
Funding not disclosed
Founders
Product
Problem
Current clinical assessments of gait require in‑clinic visits, specialized equipment, and trained personnel, making continuous monitoring of mobility difficult and limiting early detection of disease‑related gait changes.
Solution
Grasshopper Health offers the Axis Patch™, a lightweight wearable applied to the lower back that continuously records real‑world gait data. The data stream is uploaded to the AI‑enabled Motus™ Platform, which processes the movement signals and generates clear mobility metrics for clinicians. By translating everyday walking patterns into actionable insights, the system highlights subtle gait alterations associated with conditions such as peripheral artery disease, Parkinson’s disease, normal pressure hydrocephalus, and Alzheimer’s disease before overt symptoms appear. Clinicians can remotely monitor patients, track disease progression, and intervene earlier, while patients benefit from a non‑intrusive, everyday monitoring tool.
Target Audience
Primary customers are healthcare providers, research institutions, and clinical investigators who need scalable, objective mobility monitoring for patients at risk of gait‑related disease progression.
Features
- Disposable, adhesive Axis Patch™ placed on the lower back to capture center‑of‑mass movement without restricting daily activities
- Continuous, real‑world gait data collection across diverse environments and time periods
- AI‑driven Motus™ analytics that extract step length, cadence, symmetry, and other mobility biomarkers
- Cloud‑based dashboard delivering clinician‑friendly reports, trend visualizations, and alerts for early gait deviations
- Integration with existing electronic health record workflows via secure data sync
- Research‑grade measurement accuracy validated for multiple disease states