Our Progress

Smart Wireless Implant for Infection Monitoring SWi²M

- 06/2026: Long-Term In Vivo Temperature Monitoring After Surgery

- 06/2026: PJI Problem our in-vivo Wearabel

- 04/2026: Preprints and Associated DOIs (Publication Expected in the Coming Months)

SmartSpacer: Design, Implementation, and In-Vitro Validation of a Multimodal Sensorized Knee Spacer for Continuous Infection Monitoring in Two-Stage Revision Arthroplasty
Paul Morandell, Christoph Dillitzer, Bach Tran Nguyen, Vincent Lallinger, Igor Lazic, Rainer Burgkart, Oliver Hayden
doi: https://doi.org/10.64898/2026.04.24.720557

Towards In Vivo Wearable Diagnostics in Orthopaedics: Sensorized Bone Cement for Knee Spacer Applications
Nguyen Bach Tran, Laura Capogrosso, Christoph Dillitzer, Paul Morandell, Vincent Lallinger, Stephan Heller, Rainer Burgkart, Igor Lazic, Oliver Hayden
doi: https://doi.org/10.64898/2026.04.21.719845

A Theranostic Implant Platform for In Vivo Infection Monitoring and Light-Based Therapy

Christoph Dillitzer, Muammer Can Sezgin, Nguyen Bach Tran, Paul Morandell, Vincent Lallinger, Igor Lazic, Oliver Hayden, Rainer Burgkart

doi: https://doi.org/10.20944/preprints202604.1875.v1

- 08/2025: Final Spec-Sheet

- 08/2024: Presentation of the entire GUI and its individual functions

- 12/2023: An in-depth product video showcasing the entire manufacturing process.

- 06/2023: after intensive testing of the circuits, the first boards will be encapsulated in the next steps.

- 03/2023: In the upcoming weeks we will receive our new prototypes (including all relevant detectors) whose PCB design has been further miniaturised and energy optimised.

- 12/2022: By using UV-VIS scatter spectra and different random forest applications, staphylococci concentrations between 10² to 10⁸(e2 to e8) cfu/ml could already be detected and distinguished from each other.

Illustration of some of the parameter evolutions used in our random forest.

- 07/2022: To date, using initial 3D-printed and/or encapsulated Bluetooth-enabled SmartSpacer prototypes, we have been able to capture live intra-articular images and videos using ex vivo human and porcine knee samples. Furthermore, the built-in acceleration and temperature sensors show perfect functionality even in the encapsulated state.