12/10/20 C-Star: Integrating Advanced Measurement Techniques Into Clinical Decision Making in Rehabilitation
Time: December 10, 2020 - 12:00 pm to 1:00 pm Central Standard Time
There are now many novel measurement techniques available in rehabilitation, ranging from devices designed to quantify motion in upper or lower extremities, as well as novel sensors recording electrical signals from muscle, nerve and even brain. New microfluidic sensors are even able to quantify metabolic status non-invasively. What is lacking still is an approach to integrate such information into clinical decision-making and into clinical practice..
William Zev Rymer, MD, PhD
Director, Research Planning Engineering in Neuroscience
Professor PM&R, Physiology and Biomedical Engineering Director, Sensory Motor Performance Program (SMPP)
Upon completion of this course, participants will be able to:
- Describe available sensors designed to record critical movement related signals including acceleration, range of motion, and joint angular velocity.
- List available sensors designed to record electrical activity noninvasively from nerve and muscle in disabling neurologic disorders.
- Identify barriers preventing integration of sensor information into clinical decision making.
- Identify strategies to overcome these barriers allowing more straightforward integration of sensor information into clinical practice.
Accreditation: None Offered
Basic Computer Requirements: You will need access to a computer with an Internet connection. High speed broadband access (LAN, Cable or DSL) is highly recommended.
PC: Compatible Operating System: Windows XP, Vista, 7, 8, 8.1 Web Browser: Firefox, Chrome, Internet Explorer 10 or higher
MAC: Compatible Operating System: OS X Web Browser: Firefox, Chrome, Safari