ACRM Annual Conference
APDM in Attendance at the 95th American Congress of Rehabilitation Medicine Conference
Dallas, Texas
Sept 30 – Oct 3
Booth # 327
APDM Wearable Technologies is dedicated to advancing clinical research by quantifying human movement with wearable sensors, with a focus on discovering disease-sensitive outcome measures that translate to improved clinical practice. Deployed by thousands of researchers and clinicians worldwide, our proprietary Opal wearable sensors and sophisticated algorithms streamline data collection for tracking disease progression and assessing intervention response throughout rehabilitation. APDM’s solutions can be used to track movement data in populations with pathological gaits or movement disorders such as Parkinson’s disease, ataxia, multiple sclerosis, cerebral palsy, and more.
APDM offers three different solutions utilizing the Opal sensor technology designed to meet the individualized needs of our customers:
- Moveo Explorer produces full-body kinematic data, including joint angles and range of motion during functional tasks.
- Mobility Lab generates spatiotemporal outcome measures of gait and balance (our most commonly used system for clinical trials).
- Motion Studio provides access to synchronized raw inertial data.
The American Congress of Rehabilitation Medicine (ACRM) is dedicated to improving lives through interdisciplinary rehabilitation and evidence-based research. This year, ACRM will have more innovative programming and educational offerings than ever before, providing unparalleled access to groundbreaking research and evidence-based rehabilitation education from thought-leaders in rehab from around the world.
APDM’s Stephanie Hertzog will be providing live demonstrations of Moveo Explorer, our portable motion capture lab, and Mobility Lab, our portable gait lab.
CITED IN
2018, Gera, et al. “Inertial Sensor-Based Assessment of Central Sensory Integration for Balance After Mild Traumatic Brain Injury.” Military Medicine.
2018, Duclos, et al. “Using Inertial Signals to Characterize Main Lower Limb Gait Patterns in Individuals Post-stroke.” Annals of Physical and Rehabilitation Medicine.
2018, Watson, et al.“The Influence of Activity-dependent Stimulation on Gait Re-training in Chronic Stroke Survivors.” Annals of Physical and Rehabilitation Medicine.
2018, Psarakis, et al. “Wearable Technology Reveals Gait Compensations, Unstable Walking Patterns and Fatigue in People with Multiple Sclerosis.” Physiological Measurement.
Visit www.apdm.com/publications for additional citations.