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Adherence monitoring of rehabilitation exercises

Primary supervisor

Pari Delir Haghighi

Co-supervisors


Recent advances in mobile computing and wireless sensors play a significant role in enabling remote and out-of-hospital monitoring. Measuring and detecting physical activities in individuals can assist with monitoring adherence to home exercise programmes that are crucial for successful rehabilitation. Most current works in this area use Inertial Measurement Units (IMUs) sensors to monitor physical activity.

Student cohort

Single Semester
Double Semester

Aim/outline

In this project, we will explore the feasibility of stretchable sensors for developing home exercise monitoring and compare them to a commercial IMU-based sensor.

URLs/references

  1. B. H. Dobkin and L. Angeles, “Wearable motion sensors to continuously measure real-world physical activities,” Curr. Opin. Neurol., vol. 26, no. 6, pp. 602–608, 2013
  2. N. N. Jason, M. D. Ho, and W. Cheng, “Resistive electronic skin,” J. Mater. Chem. C, vol. 5, no. 24, pp. 5845–5866, 2017, doi: 10.1039/c7tc01169e.
  3. M. Gandolla et al., “Wearable Biofeedback Suit to Promote and Monitor Aquatic Exercises: A Feasibility Study,” IEEE Trans. Instrum. Meas., vol. 69, no. 4, pp. 1219–1231, 2020, doi: 10.1109/TIM.2019.2911756.

Required knowledge

  • Strong programming experience 
  • Mobile app development
  • Machine learning
  • Previous experience with wireless sensors (preferable)