For this project, three others and I designed a rehabilitation tool for people that had suffered from a stroke. In the Netherlands, 3% of people aged 13 and older said to have had some sort of a stroke [1]. Usually, the rehabilitation stops before a patient is back to their fullest, with upper extremities lagging behind leg functions [2]. Therefore, we have created a tool that measures the movement of a patient’s hand by translating the displacement of a movement sensor that is attached to someone’s hand to gestures through a support vector machine. By doing this, patients can rehabilitate at home, overcoming obstacles such as geographical location, medical staff availability and cost.

Skills used:

Prototyping, Circuit design, C++/Arduino, Java, Machine learning, UX Design

[1] Beroerte | Cijfers & Context | Huidige situatie | Volksgezondheidenzorg.info. Retrieved on 06-01-2020 from: https://www.volksgezondheidenzorg.info/onderwerp/beroerte/cijfers-context/huidige-situatie#node-prevalentie-beroerte-huisartsenpraktijk-naar-leeftijd-en-geslacht
[2] Timmermans, A. A., Seelen, H. A., Willmann, R. D., & Kingma, H. (2009). Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design. Journal of neuroengineering and rehabilitation, 6(1), 1.