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Wearable-Sensor: Non-Invasive Monitoring of the Bladder Volume for SCI Population
At present, no optimum solution present commercially or in published research that can provide a method for accurate, long term, non-invasive and unobtrusive bladder monitoring. In this project, the student will develop a multi-sensor system based on novel sensors and incorporate state of the art, sensor fusion algorithms to enable non-invasive bladder volume measurements for the SCI population to be tested in collaboration with the SCAI-Lab (ETHZ / SPZ) in Nottwil.
The Main Host Place will be: Center for Project-Based Learningat D_ITET
In individuals with spinal cord injury, the urinary condition is particularly complicated because they generally lack control over urinary function and cannot voluntarily discharge the bladder. Depending on the severity of the spinal cord injury, micturition reflexes are often blocked and individuals with impaired or destroyed nervous pathways may exhibit bladder-sphincter dyssynergia, which causes functional outlet obstruction. Typically, SCI individuals have no natural desire to urinate. To discharge their bladder, SCI individuals have to manually activate spinal micturition reflexes or use intermittent catheterization which (on the long- term) can cause injury, infection or kidney damage, in addition to other complications in health. Particularly for this population, proper monitoring of the bladder volume is very important.
More information:
https://ee.ethz.ch/news-and-events/d-itet-news-channel/2021/02/frodo-a-non-invasive-unobtrusive-and-continuous-bladder-monitoring-in-real-time.html
In individuals with spinal cord injury, the urinary condition is particularly complicated because they generally lack control over urinary function and cannot voluntarily discharge the bladder. Depending on the severity of the spinal cord injury, micturition reflexes are often blocked and individuals with impaired or destroyed nervous pathways may exhibit bladder-sphincter dyssynergia, which causes functional outlet obstruction. Typically, SCI individuals have no natural desire to urinate. To discharge their bladder, SCI individuals have to manually activate spinal micturition reflexes or use intermittent catheterization which (on the long- term) can cause injury, infection or kidney damage, in addition to other complications in health. Particularly for this population, proper monitoring of the bladder volume is very important.
More information: https://ee.ethz.ch/news-and-events/d-itet-news-channel/2021/02/frodo-a-non-invasive-unobtrusive-and-continuous-bladder-monitoring-in-real-time.html
A detailed task description will be worked out right before the project, taking the student's interests and capabilities into account.
A detailed task description will be worked out right before the project, taking the student's interests and capabilities into account.
Learning from a highly experienced team in electronics and sensor development.
Apply the results directly to a clinical need and validate with end-users.
Learning from a highly experienced team in electronics and sensor development. Apply the results directly to a clinical need and validate with end-users.
• Knowledge of circuit design based on discrete elements, analog and mixed-signal electronic components.
• Basic Knowledge of circuit simulation tools (Spice) and circuit design tools (e.g. Altium) is desirable.
• Knowledge of embedded system firmware development is beneficial.
• Knowledge of MATLAB or Python for evaluation and data processing is required. Project Tasks
• Design and development of PCB for multi-sensor bladder monitor system
• Develop firmware for designed PCB
• Collect data from developed system and evaluate against reference standards for bladder volume measurement
• Knowledge of circuit design based on discrete elements, analog and mixed-signal electronic components. • Basic Knowledge of circuit simulation tools (Spice) and circuit design tools (e.g. Altium) is desirable. • Knowledge of embedded system firmware development is beneficial. • Knowledge of MATLAB or Python for evaluation and data processing is required. Project Tasks • Design and development of PCB for multi-sensor bladder monitor system • Develop firmware for designed PCB • Collect data from developed system and evaluate against reference standards for bladder volume measurement
Dr. Kanika Dheman (kanika.dheman@pbl.ee.ethz.ch), Dr. Diego Paez-Grandos (diego.paez@hest.ethz.ch ) Dr. Michele Magno (michele.magno@pbl.ee.ethz.ch)
Please email Dr Kanika Dheman and Dr Diego Paez, with your CV and transcripts.
Dr. Kanika Dheman (kanika.dheman@pbl.ee.ethz.ch), Dr. Diego Paez-Grandos (diego.paez@hest.ethz.ch ) Dr. Michele Magno (michele.magno@pbl.ee.ethz.ch)
Please email Dr Kanika Dheman and Dr Diego Paez, with your CV and transcripts.