Continuous improvement and evidence-based assessment of gait in musculoskeletal pathologies using an AI-assisted sensor system exemplified by peroneal paresis (OrthoKI)

Focus topic: Life Science Technologies
Type of funding: Project funding programmes
Programme: CZS Transfer
Funded institution:
  • Technische Hochschule Ulm

OrthoKI is researching an orthotic fitting optimized with AI methods. The sensor-based splint attached to the foot is intended to optimize the therapy of patients with foot dorsiflexion whose ability to walk is limited.

Goals

Foot dorsiflexion is a dysfunction of the peroneal nerve that gives the patient little or no control over lifting, placing and rolling the foot. An orthotic fitting optimized using artificial intelligence methods is intended to accompany the patient during therapy. Orthoses are orthopedic aids attached externally to the body that relieve, stabilize or correct joints, muscles or bones. These include, for example, splints, bandages, support apparatuses, girdles and corsets. The sensor-based solution envisaged here is intended to optimize the therapy of orthosis wearers. The gait pattern is recorded by sensors and analyzed by an AI system, which provides important information about the course of treatment and allows feedback. Thus, predictions about the resulting gait pattern are calculated using a special musculoskeletal simulation model. In addition to improved healing, risks such as falls and overloading could be reduced.

Involved persons:

Lukas Findeisen

Program Manager

Phone: +49 (0)711 - 162213 - 20

E-mail: lukas.findeisen@carl-zeiss-stiftung.de

Prof. Dr. Michael Munz

Technische Hochschule Ulm

Detailed information:

Focus topic: Life Science Technologies
Programme: CZS Transfer
Type of funding: Project funding programmes
Target group: Professors
Funding budget: 874.000 €
Period of time: Juni 2023 - Mai 2026

Funded institution:

Technische Hochschule Ulm
Technische Hochschule Ulm