Wearable 256-Element MUX-Based Linear Array Transducer for Monitoring of Deep Abdominal Muscles
Reliable acoustic coupling in a non-handheld mode and reducing the form factor of electronics are specific challenges in making ultrasound wearable. Applications relying on a large field of view (such as tracking of large muscles) induce a need for a large element count to achieve high image quality. In our work, we developed a 256-element linear array for imaging of abdominal muscles with four integrated custom-developed 8:32 multiplexer Integrated Circuits (ICs), allowing the array to be driven by our compact 32 ch electronics. The system is optimized for flexible use in R&D applications and allows adjustable transmit voltages (up to +/−100 V), arbitrary delay patterns, and 12-bit analog-to-digital conversion (ADC) with up to 50 MSPS and wireless (21.6 MBit/s) or USB link. Image metrics (SLL, FWHM) were very similar to a fully populated array driven with a 256 ch system. The contrast allowed imaging of lesions down to 7 cm in the phantom. In a first in-vivo study, we demonstrated reliable acoustic contact even during exercise and were able to visualize deep abdominal muscles such as the TrA. In combination with a muscle tracking algorithm, the change of thickness of the TrA during SSE could be monitored, demonstrating the potential of the approach as biofeedback for physiotherapy training.
Authors
- Hannah Strohm (ORCID: https://orcid.org/0000-0001-8355-484X)
- Marc Fournelle (ORCID: https://orcid.org/0000-0002-0690-9384)
- Tobias Grün
- Luis Perotti (ORCID: https://orcid.org/0000-0003-0020-2617)
- Daniel Speicher
- Oskar Stamm (ORCID: https://orcid.org/0000-0003-1584-687X)
- Holger Hewener (ORCID: https://orcid.org/0000-0003-2191-6053)
- Steffen Tretbar (ORCID: https://orcid.org/0000-0002-5710-0825)
- Steffen Weber
- Stephan Klesy
- Schabo Rumanus
Institutions
- Fraunhofer Institute for Digital Medicine (DE)
- Fraunhofer Institute for Biomedical Engineering (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3390/app15073600
- Citations
- 3
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Bundesministerium für Bildung und Forschung