Observe left and right contribution rather than relying only on a combined workload value.
// CLINICAL & RESEARCH
Make asymmetry
measurable.
APAD is being developed around a simple research problem: equal external cycling demand does not necessarily mean equal contribution from both limbs. Bilateral instrumentation creates a clearer view of the task.
BILATERAL VIEWSee the relationship
See the relationship
between sides.
This animated visualization demonstrates the type of left/right relationship APAD is designed to make visible without presenting fabricated clinical data.
ILLUSTRATIVE SIGNAL • NOT CLINICAL DATA
RESEARCH FOUNDATIONFrom total workload
From total workload
to side-specific information.
Published APAD work has investigated selective assistance to a target limb, while related instrumented-ergometer studies have evaluated force, power and body-interface measures for cycling asymmetry analysis.
The foundational prototype demonstrated selective motor assistance to one leg in healthy participants.
Instrumented cycling supports structured incremental and constant-load protocols for repeatable investigation.
Session-level information can form the basis for tracking how an individual responds over time.
CLINICAL WORKFLOW DIRECTIONA clearer path from setup
A clearer path from setup
to review.
Set the session
Define the cycling task, workload direction and measurement objective.
Observe both sides
Review bilateral contribution during the cycling task instead of a single aggregate output.
Individualize
Use the measured response to inform assistance or loading strategies appropriate to the protocol.
Review progression
Compare sessions and communicate relevant changes across the care or research team.
RESEARCH QUESTIONSDesigned for investigation,
Designed for investigation,
not black-box training.
Asymmetry
How does left/right contribution change with workload, fatigue or assistance?
Motor assistance
How does selective assistance alter the contribution of a target limb during cycling?
Cycling kinetics
How repeatable are force and power measures across sessions and protocols?
Human performance
How can bilateral information complement conventional performance metrics?
RESPONSIBLE EVIDENCE
Engineering capability is not the same as clinical efficacy.
The foundational asymmetric-assistance work was conducted with healthy participants. APAD therefore distinguishes demonstrated measurement/control capability from claims that require validation in specific patient populations.
Planning a protocol around cycling asymmetry?
Talk with the APAD team about measurement objectives, experimental workflows and the current research platform.
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