Stopped: Study pending of funding that could not be secured
The purpose of this study is to develop a real-time controller for exoskeletons using neural information embedded in human musculature. This controller will consist of an online interface that anticipates human movement based on high-density electromyography (HD-EMG) recordings, and then translates it into functional assistance. This study will be carried out in both healthy participants and participants post-stroke. The researchers will develop an online algorithm (decoder) in currently existing exoskeletons that can extract hundreds of motor unit (MU) spiking activity out of HD-EMG recordings. The MU spiking activity is a train of action potentials coded by its timing of occurrence that gives access to a representative part of the neural code of human movement. The researchers will also develop a command encoder that can anticipate human intent (multi-joint position and force commands) from MU spiking activity to translate the neural information to movement. The researchers will integrate the decoder with the command encoder to showcase the real-time control of multiple joint lower-limb exoskeletons.
Age range
18 Years – 80 Years
Sex
ALL
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The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Change in stride variability
Timeframe: For Experiment B, change in stride variability at baseline and with assistive robot through participant completion, an average of 3 months.
Change in cadence
Timeframe: For Experiment B, change in cadence at baseline and with assistive robot through participant completion, an average of 3 months.
Change in step length
Timeframe: For Experiment B, change in step length at baseline and with assistive robot through participant completion, an average of 3 months.
Change in stride length
Timeframe: For Experiment B, change in stride length at baseline and with assistive robot through participant completion, an average of 3 months.
Change in stance time
Timeframe: For Experiment B, change in stance time at baseline and with assistive robot through participant completion, an average of 3 months.
Change in bilateral joint torque at the ankle, knee, and hip
Timeframe: For Experiment B, change in joint torque at baseline and with assistive robot through participant completion, an average of 3 months.
Change in impedance levels between exoskeleton and participant
Timeframe: For Experiment B, change in impedance levels at baseline and with assistive robot through participant completion, an average of 3 months.
Change in 10WMT
Timeframe: For Experiment B, change between baseline and through participant completion, an average of 3 months.
Change in 6MWT
Timeframe: For Experiment B, change between baseline and through participant completion, an average of 3 months.
Change in Berg Balance Scale
Timeframe: For Experiment B, change between baseline and through participant completion, an average of 3 months.
Change in FGA
Timeframe: For Experiment B, change between baseline and through participant completion, an average of 3 months.