International Congress of Parkinson’s Disease & Movement Disorders
APDM in Attendance at the International Congress of Parkinson’s Disease & Movement Disorders
Hong Kong
Oct 5 -9
Booth # E05
APDM Wearable Technologies is dedicated to advancing movement disorder research by quantifying human movement with wearable sensors. Deployed by thousands of researchers and clinicians worldwide, our proprietary Opal wearable sensors and sophisticated algorithms streamline data collection for monitoring disease progression and assessing movement disorders. APDM’s solutions provide automated outcome measures for populations with pathological gaits 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 International Parkinson and Movement Disorder Society (MDS) is a professional society of clinicians, scientists, and other healthcare professionals who are interested in Parkinson’s disease, related neurodegenerative and neurodevelopmental disorders, hyperkinetic movement disorders, and abnormalities in muscle tone and motor control. This year the congress will be focused on technology in the diagnosis, monitoring, and management of movement disorders.
APDM’s Kristen Sowalsky will be providing live demonstrations of Moveo Explorer, our portable motion capture lab, and Mobility Lab, our portable gait lab.
CITED IN
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, Mancini, et al.“Assessment of the Ability of Open- and Closed-Loop Cueing to Improve Turning and Freezing in People with Parkinson’s Disease.” Scientific Reports.
2018, Psarakis, et al. “Wearable Technology Reveals Gait Compensations, Unstable Walking Patterns and Fatigue in People with Multiple Sclerosis.” Physiological Measurement.
2018, Ang, et al. “Objective Assessment of Spasticity with a Method Based on a Human Upper Limb Model.” IEEE.
2017, Pimentel, et al. “Validation of Gait Cycle Timing Using Wearable Sensors in Individuals with Cerebral Palsy.” Archives of Physical and Rehabilitation Medicine.
Visit www.apdm.com/publications for additional citations.
