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Optimization of Individuation Assessment Software and Protocol
After a neurological injury (such as stroke), many patients suffer from impairment of the hand and finger function. Clinical assessments aim to measure and quantify those impairments for a better understanding and to specifically target those deficits in rehabilitation. One aspect of hand function, that is not truly understood yet is finger individuation: the ability to move one finger independently of the others. In a previously developed assessment device, we use force sensors attached to a hand module to measure this dexterous skill. This individuation device measures finger flexion (pushing) over different force levels, using a simple user interface. But to facilitate the measurement process and increase comprehension for cognitively impaired patients, we need to improve the assessment visualization and execution.
Keywords: Rehabiliation engineering, software development, finger individuation, user interface
This project is a collaboration between the Rehabilitation Engineering Laboratory (RELab) of ETH Zurich, the cereneo clinic (center for neurology and rehabilitation) and Lake Lucerne Institute (LLUI).
This project is a collaboration between the Rehabilitation Engineering Laboratory (RELab) of ETH Zurich, the cereneo clinic (center for neurology and rehabilitation) and Lake Lucerne Institute (LLUI).
The goal of this project is to develop an optimized user interface and software for an existing finger individuation device to be used in a clinical setting.
The goal of this project is to develop an optimized user interface and software for an existing finger individuation device to be used in a clinical setting.
- Transfer the assessment codebase from MATLAB to Unity (or Python)
- Create a simple, user-friendly and cognitive non-demanding User Interface (must be comprehensible for stroke patients)
- Test and evaluate the work based on user centered design techniques
- Transfer the assessment codebase from MATLAB to Unity (or Python) - Create a simple, user-friendly and cognitive non-demanding User Interface (must be comprehensible for stroke patients) - Test and evaluate the work based on user centered design techniques
- Background in software engineering, computer science, data science, engineering, or related field.
- Coding skills (MATLAB / Unity / Python / etc.)
- Reliable and structured working
- Motivated, friendly and communicative approach to work
- Conceptional skills, independent working style
- Background in software engineering, computer science, data science, engineering, or related field. - Coding skills (MATLAB / Unity / Python / etc.) - Reliable and structured working - Motivated, friendly and communicative approach to work - Conceptional skills, independent working style
To apply please send a cover letter outlining your motivation and experience in the field, CV and a transcript of records to anna.knill@hest.ehtz.ch / anna.knill@lui.org. I am happy to answer any project related questions.
To apply please send a cover letter outlining your motivation and experience in the field, CV and a transcript of records to anna.knill@hest.ehtz.ch / anna.knill@lui.org. I am happy to answer any project related questions.
JobAd_Individuation_software.docx
