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Evaluation of Finger Individuation Ability in Flexion and Extension
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, but the individuation ability in extension (pulling) remains unknown. The aim of this project is to implement an extension assessment (by adapting the existing protocol) and compare as well as test it before its implementation into the clinical routine.
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 implement and evaluate a finger extension (pulling) assessment in an existing finger individuation device to be used in a rehabilitation clinic.
The goal of this project is to implement and evaluate a finger extension (pulling) assessment in an existing finger individuation device to be used in a rehabilitation clinic.
- Implementation of finger extension assessment in an existing individuation device
- Evaluation and testing of the extension vs. flexion assessment
- Measurement of participants (able-bodied and/or neurological patients)
- Data analysis of the collected measurements
- Implementation of finger extension assessment in an existing individuation device - Evaluation and testing of the extension vs. flexion assessment - Measurement of participants (able-bodied and/or neurological patients) - Data analysis of the collected measurements
- Background in health science and technology, biomedical engineering, mechanical engineering, neuroscience, data science, or related field
- Basic coding skills (MATLAB / Python)
- Reliable and structured working
- Motivated, friendly and communicative approach to work
- Conceptional skills, independent working style
- Background in health science and technology, biomedical engineering, mechanical engineering, neuroscience, data science, or related field - Basic coding skills (MATLAB / Python) - 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.ethz.ch / anna.knill@lui.org. In case of questions, I am happy to provide more information.
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.ethz.ch / anna.knill@lui.org. In case of questions, I am happy to provide more information.