A data-driven solution that optimizes ankle-foot-orthopedic braces for children (OrthoSense)
OrthoSense by Leg&airy revolutionizes ankle-foot orthotics by turning subjective brace fitting into data-driven care. Embedded sensors capture pressure data, enabling AI driven biomechanical algorithms to tailor each brace’s shape and fit to the individual patient while enabling patients tracking.
Beschreibung
About 40 million people require orthotics and prosthetics, yet only 15% have access. Manual device fitting lacks precision, causing pressure injuries in 12% of patients. Children struggle to communicate discomfort, making adjustments even harder. Long wait times (12 weeks) and multiple follow-up visits force patients to endure pain and mobility challenges.
Worse still, children can outgrow devices before they even receive them, rendering the design outdated or even dangerous. Inadequate braces can leave children with life-long malformations.
The science-based OrthoSense system brings a paradigm shift, introducing quantitative data into the qualitative and subjective ancle-foot-orthotic (AFO) care. OrthoSense incorporates advanced sensors to record 3D pressure profiles (plantar + circumferential), which is used by the AI-driven biomechanical simulation to design highly personalized devices. OrthoSense platform monitors patients in real-time and enables timely and cost-effective intervention.
Eckdaten
Projektleitung
Co-Projektleitung
Prof. Dr. Barbara Röhrnbauer, Faizan Mohammad (Leg&airy AG)
Projektteam
Dr. Frank-Peter Schilling, Dr. Marc André Stadelmann, Dr. Michaela Nusser, Minh-Khan Nguyen, Joël Hefti, Jonas Hofmann, Morgan Sangeux (Universitäts-Kinderspital beider Basel), Prof. Dr. Thomas Dreher (Kinderspital Zürich - Eleonorenstiftung), Lukas Feuvrier (Leg&airy AG), Dr. Christian von Deimling (Kinderspital Zürich - Eleonorenstiftung)
Projektpartner
Leg&airy AG; Kinderspital Zürich - Eleonorenstiftung; Universitäts-Kinderspital beider Basel
Projektstatus
laufend, gestartet 01/2026
Institut/Zentrum
Centre for Artificial Intelligence (CAI); Institut für Mechanische Systeme (IMES)
Drittmittelgeber
Innosuisse Innovationsprojekt
Projektvolumen
936'791 CHF
School of Engineering
Technikumstrasse 71
8400 Winterthur