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Intelligent Biomechanical Machines
Transcript of Intelligent Biomechanical Machines
External - Senses
Internal - Muscle Sensors, etc.
in·tel·li·gent : adjective
(of a device, machine, or building) Able to vary its state or action in response to varying situations, varying requirements, and past experience
What do I want to do?
How do I want to do it?
When do I want to do it?
Why can't I do it?
Fast or slow
After completing another movement
Cannot be done safely
Not enough power
Is your knee
Is your knee
flexing too fast?
Do I need a
Should my ankle
How should I
Small, low power sensors are available
Batteries are improving (smaller, more power)
Smaller, cost effective, motors are evolving
Control software is improving
People are using these devices ... providing information to improve performance
Weight (comparator can be a piece of plastic)
Noise (motors, gears, etc.)
How do we deal with
Walking Frame - Exoskeleton - Powered Orthotics
Can use heavier components
How do we control the robot?
EMG + Sensors
Select an activity and the robot moves the body based on predetermined settings. Timing based on load, limb/body motion, or tilt angle
Assistive Docking Device
Use intelligent passive device for daily activity
Dock to powered device as needed
Fast and easy setup required
Use for stairs, lifting, yard work,
Fast donning and doffing is essential
Orthotic principles and engineering
Can we meet the
17 second challenge
Integrated into device
Identify device problems
Identify user changes
Integrated Outcome Measures
Wearable Sensors / Phones
Usage and activity reports
Vendors control access
Who owns data stored in an assistive device?
End user? Company? Clinical facility?
Access to the Data
Generated automatically after data collection
Formatted for easy clinical interpretation
Specific to patient classification
Data to information to clinical decision
Use the information to change practice!
The Prosthetic Data Challenge
To companies with sensor controlled devices
Open source data from endusers (i.e., share)
De-identified data and activity
Provide enough data for complex analyses (neural networks, etc.)
Move to the next generation of control !
The Device Decision Challenge
Setup data collection within minutes, or seconds
Automatic error checking
Good data quality
Provide knowledge for clinician and feedback for client
The Data - Knowledge Challenge
Use Outcome Measures in Practice
The Orthotist Learning