Subproject A03

Subproject A03

Highly Integrated Localizable Wireless EMG Transponder

Sub-project A03  aims to develop the EmpkinS Beacon (EB), a miniaturized, flexible, and energy-efficient wireless radio transponder for monitoring muscle activity using surface electromyography (sEMG) and tracking body movement. It combines innovative sensor technology with advanced radio transmission and localization for medical applications such as Parkinson’s monitoring and emotion detection. The EB integrates multiple sEMG channels on a flexible substrate, fuses data with motion sensors, and features a precise localization system for comprehensive movement analysis. Two concepts are being investigated that allow simultaneous data transmission and localization of the EB: sEMG with a discrete 24 GHz RF transmitter and sEMG with a highly integrated 61 GHz RF transceiver for miniaturization and accuracy. Full integration of the EB on flexible substrates is also being explored.


Contacts

Prof. Dr.-Ing. Amelie Hagelauer

Principal Investigator

Prof. Dr.-Ing. Dr.-Ing. habil. Robert Weigel

Principal Investigator

 

Aditya Gupta, M. Sc.

Doctoral Candidate

Samira Balbach, M. Sc.

Associate Doctoral Candidate (TUM)

Christian Dorn, M. Sc.

Associate Doctoral Candidate (TUM)

 

 

Additional Information

  • Balbach S., Kolpak J., Dorn C., Brückner S., Schlechtweg N., Gambietz M., Koelewijn A., Vossiek M., Hagelauer A.:
    A Miniaturized Flexible Surface Electromyography Sensor With an Integrated Localization Concept.
    In: IEEE Microwave Magazine 26 (2025), S. 47-59. ISSN: 1527-3342. DOI: 10.1109/MMM.2024.3494717
  • Balbach S, Dorn C, Fraidling F, Hagelauer A:
    Performance Comparison of the LPWAN Standards NB-IoT and LTE-M Based on Protocols and Message Volumes.
    2025 IEEE MTT-S Latin America Microwave Conference (LAMC), San Juan, PR, USA, 2025, pp. 74-77, DOI: 10.1109/LAMC63321.2025.10880509.
  • Balbach, S., Dorn, C., Schindler-Gmelch, L., Berking, M., Hagelauer, A.:
    Low-Power Wireless Multi-Channel Surface Electromyography Sensor for Facial Muscle Sensing.
    IEEE Wireless and Microwafe Technology Conference (WAMICON), Cocoa Beach, Florida, 2025.
  • Gupta A., Taz D., Dietz M., Hagelauer A.:
    A 0.8V, 16mW, 170.5dB FOM Integrated 20-GHz VCO and Frequency Tripler for 60-GHz Short-Range Radio Transmitters in 22-nm FDSOI.
    2024 IEEE Asia-Pacific Microwave Conference (APMC), Bali, Indonesia, pp. 1060-1062. DOI: 10.1109/APMC60911.2024.10867573.
  • Gupta A., Dietz M., Engelmann A., Hagelauer A.:
    Ultra-Low Power 60 GHz Class-C Frequency Tripler in 22-nm FDSOI CMOS Technology.
    15th IEEE Latin American Symposium on Circuits and Systems (Punta del Este, 2024). Proceedings 2024. DOI: 10.1109/LASCAS60203.2024.10506144
  • Brückner S., Weber J., Michler F., Shanin N., Schober R., Hagelauer A., Weigel R., Gaßner H., Winkler J., Eskofier B., Vossiek M.:
    A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment.
    IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (2023), S. 1-10. ISSN: 2469-7249. DOI: 10.1109/JERM.2023.3321974.
  • Michler F.:
    Fundamentals and System Design Challenges in Radar-Based Vital Sign Sensing.
    IEEE Radio and Wireless Symposium (RWS) (Las Vegas, 2023)
  • Michler F.:
    Optimizing Continuous-Wave Radars for Vital-Sign Detection: System Design Challenges and Limitations.
    International Microwave Symposium (IMS) 2023 (San Diego, 2023)
  • Michler F., Kolpak J., Scheiner B., Weigel R., Hagelauer A.:
    Characterization of a Flexible Polymer-Based Substrate Material for RF Applications.
    IEEE Radio and Wireless Symposium (RWS) (Las Vegas, 2023). DOI: 10.1109/RWS55624.2023.10046309
  • Shanin N., Hagelauer A., Cottatellucci L., Schober R.:
    Optimal Energy Signal Design for Multi-user MISO WPCNs with Non-linear Energy Harvesting Circuits.
    IEEE Transactions on Communications (2023), S. 1-1. ISSN: 0090-6778. DOI: 10.1109/TCOMM.2023.3257379
  • Shanin N., Garkisch M., Hagelauer A., Schober R., Cottatellucci L.:
    Optimal Resource Allocation and Beamforming for Two-User MISO WPCNs for a Non-linear Circuit-Based EH Model.
    Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Singapore, 2022). DOI: 10.1109/TCOMM.2021.3134690