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Health Sensing

This program has a flexible start and length.

Preferred student profile

Academic study field:

  • Electrical Engineering
  • Computer Science
  • Biomedical Engineering

Background and interest in one or more of the following fields:

  • Medical instrumentation
  • Signal processing
  • Machine learning
  • Image processing
  • Biomedical circuits
  • Sensor technology
  • Robotics

Maximum number of students  to host: 3

Description

Join us investigating novel technologies for health sensing and diagnostics. Our core research areas fall into the following overall categories:

  • Data-driven health technology including big data analysis; artificial intelligence and data science; intelligent monitoring and decision support; predictive models for prevention, early detection, diagnosis, and prognosis.
  • Training and rehabilitation technology concerning robot-assisted training and sensor technology with biofeedback; embedded systems; human-robot interaction
  • Sensor technology that includes intelligent unobtrusive sensors and monitoring; physiological signal acquisition and processing; image analysis; health state and behavior modeling.
  • eHealth systems and platforms involving software systems and platforms for health and care; user involvement; patient empowerment; citizen centered (personalized) data collection, treatment plans, and eHealth interventions; technology assessment.
  • Healthcare ecosystems with focus in multi-agent based business ecosystem modeling and simulation; public private partnership; innovation management.
  • Technical audiology for development and evaluation of hearing tests; user-operated audiometry; speech tests; hearing loss and dementia.
The Maersk Mc-Kinney Moller Institute

Read more about The Maersk Mc-Kinney Moller Institute

READ HERE

Research unit

Read more about SDU Health Informatics and Technology

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Responsible researcher

Associate professor & Head of Unit Daniel Teichmann

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Last Updated 29.05.2024