Biomedical Engineering Group

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Projects

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Examples of research projects are reported below; Please contact Prof. John Batchelor (j.c.batchelor@kent.ac.uk) if you are interested to undertake research with us.

Platform independent RFID tags, transfer tattoo tags for skin, printed electronics and future manufacturing, and the use of passive wireless sensors for Assistive Technologies.

Some Specific Projects:

    • 3D Modelling of Sutures for Post-Operative Monitoring
      Developing 3D models to determine tension for various suture designs as a means to predict hernia risk in patients.
    • Smart Varicocele Monitoring
    • Developing wearable sensors to reduce varicocele complications and infertility.
    • Wireless Wearable Breathing Sensor
      A Bluetooth-enabled chest patch that monitors breathing rate and helps detect early signs of respiratory distress.
    • Infection Detection for Otitis Externa
    • Design and manufacture of RFID based low power sensing technologies include body-worn antennas
    • Image-based cancer cell line Authentication using Deep Neural Networks.
    • Modelling and simulation tools for the understanding of mechanical properties of red blood cells
    • Study of the geometrical arrangement of biological cells to understand cell signalling in the ovary
    • Development of sensing devices to rehabilitate patients with swallowing disorders
    • Infection Detection for Otitis ExternaCreating an NFC-based ear sensor that rapidly detects bacterial or fungal infections in outpatient settings.
    • Functionalised RFID sensor
      Deploying low-cost printed sensors to monitor air fungal load.
    • Virtual Reality for Training Wheelchair Users
      Transitioning to wheelchair reliance can be challenging, requiring physical, practical, and emotional adjustments. Support and training programs are vital in this process. Virtual Reality (VR) has recently gained popularity in rehabilitation, offering solutions to limitations in real-world training, such as resource and time constraints. This project explores how VR can support the transition to wheelchair use, focusing on improving wheelchair driving skills.