App · AI · Healthcare

Clinical muscle-tone assessment with wearable biometrics

Web and desktop workflows for standardized strength, ROM, and spasticity measures — sensor data, guided protocols, and review-ready exports.

BioTone Biometrics case study

BioTone Biometrics is an integrated clinical toolkit for objective muscle-tone assessment using low-cost wearable sensors during routine examinations.

Orpheus built the BioTone application layer that guides clinicians through standardized protocols, streams sensor measurements in real time, and stores structured session data for offline analysis.

The product connects examination workflows to the automated ML training pipelines Orpheus maintains for biometrics and medical device identification — so model improvements stay tied to how teams actually capture data in the clinic.

Stack
ReactNode.jsPythonWearable sensor integrationsClinical data pipelines
Highlights
  • Guided clinical protocols for elbow and knee assessments
  • Real-time sensor visualization during exams
  • Secure session storage for offline review
  • Paired with automated ML training flywheels

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