Attune

Healthcare · Software · Hardware

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Overview

Attune addresses a critical gap in prosthetic rehabilitation: the pre-fitting window between amputation and device fitting, where patients often lack neuromuscular conditioning and psychological readiness. During this time, muscle atrophy and inconsistent EMG signal control develop, while patients form unrealistic expectations about prosthetic use. Clinicians also enter fittings with limited insight into a patient’s baseline control, leading to inefficient, trial-and-error training with expensive hardware—factors that contribute to high device abandonment rates.

Attune shifts this process upstream by introducing a lightweight EMG and immersive VR training platform for pre-fitting preparation. Surface EMG sensors capture residual muscle signals and map them to a virtual prosthetic limb, allowing users to practice control in real time through guided, gamified exercises. The immersive environment reinforces motor learning while also helping users emotionally adapt by visualizing and embodying limb movement, building both confidence and intuitive understanding before receiving a physical device. The current focus is on upper-extremity amputees, with plans to expand into lower-extremity applications and broader rehabilitation use cases as the platform scales.

Positioned as a complementary tool to existing prosthetic technologies, Attune focuses on early-stage neuroadaptation rather than post-fitting control. By enabling patients to build muscle intent, signal consistency, and psychological readiness in advance, it improves clinical efficiency, reduces reliance on trial-and-error fitting, and supports better long-term prosthetic adoption.

An interdisciplinary R&D lab at Arizona State University.

© 2026 Arizona State University. All rights reserved.

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An interdisciplinary R&D lab at Arizona State University.

© 2026 Arizona State University. All rights reserved.

Privacy

Terms

An interdisciplinary R&D lab at Arizona State University.

© 2026 Arizona State University. All rights reserved.

Privacy

Terms

Attune

Healthcare · Software · Hardware

01

//

Overview

Attune addresses a critical gap in prosthetic rehabilitation: the pre-fitting window between amputation and device fitting, where patients often lack neuromuscular conditioning and psychological readiness. During this time, muscle atrophy and inconsistent EMG signal control develop, while patients form unrealistic expectations about prosthetic use. Clinicians also enter fittings with limited insight into a patient’s baseline control, leading to inefficient, trial-and-error training with expensive hardware—factors that contribute to high device abandonment rates.

Attune shifts this process upstream by introducing a lightweight EMG and immersive VR training platform for pre-fitting preparation. Surface EMG sensors capture residual muscle signals and map them to a virtual prosthetic limb, allowing users to practice control in real time through guided, gamified exercises. The immersive environment reinforces motor learning while also helping users emotionally adapt by visualizing and embodying limb movement, building both confidence and intuitive understanding before receiving a physical device. The current focus is on upper-extremity amputees, with plans to expand into lower-extremity applications and broader rehabilitation use cases as the platform scales.

Positioned as a complementary tool to existing prosthetic technologies, Attune focuses on early-stage neuroadaptation rather than post-fitting control. By enabling patients to build muscle intent, signal consistency, and psychological readiness in advance, it improves clinical efficiency, reduces reliance on trial-and-error fitting, and supports better long-term prosthetic adoption.

An interdisciplinary R&D lab at Arizona State University.

© 2026 Arizona State University. All rights reserved.

Privacy

Terms