APDM Wearable Technologies


APDM Wearable Technologies is a digital health company focused on developing and commercializing digital endpoints for neuroscience and balance disorders. APDM has raised $13MM+ from the NIH and Department of Defense, has over 200+ publications and thousands of researchers worldwide using our technology, and are currently involved in 5 active clinical trials. We have a foundational patent portfolio in wearable technology, which is still active. APDM is a full stack engineering team (hardware, software, algorithm) with a strong scientific foundation. We are unique in digital health because of our scientific roots, ensuring that all commercial products are rigorously studied and validated by third party researchers. APDM's future revenue growth (historically since commercialization in 2011 +30% YOY) is set to accelerate over the next 10 years related to the expanding demand for objective, digital endpoints in clinical trials, and ultimately reaching the patient as a companion device to pharmaceutical drugs as the drug delivery landscape continues to adopt more at-home efficacy monitoring. For more information, please visit our website, www.apdm.com

Industries

big-data
clinical-trials
cloud-computing
health-care
health-diagnostics
mhealth
wearables

Nr. of Employees

small (1-50)

APDM Wearable Technologies

Portland, Oregon, United States, North America


Products

Mobility Lab

A portable system for gait and balance analysis, providing outcome measures for functional mobility assessment.

Moveo Explorer

A portable motion capture system for full-body kinematic analysis, offering automated joint angle analysis and spatiotemporal metrics.

Opal

A research-grade wearable sensor designed for capturing raw kinematic data, supporting synchronization with other systems for comprehensive movement analysis.

Motion Studio

Free data acquisition software for developing custom protocols and algorithms, used in conjunction with Opal sensors.

Continuous Recording

Enables all-day recording of natural movement and changes post-intervention, capturing data like stride length and turn duration.


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