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Quantization of Body Movements in Rhythmic Movement Disorder Patients using Body-Worn IMUs
Rhythmic Movement Disorder (RMD) is a condition characterized by repetitive movements, such as rocking or head-banging, that typically occur during sleep or drowsiness. These movements can cause significant disruptions to sleep, as well as physical injuries. Conventional treatments for RMD include behavioral therapy, medications, and improving sleep hygiene. Novel treatment approaches also suggest the use of stimulus substitution, e.g., from a hammock or rocking bed such as the Somnomat Casa (developed at the Sensory-Motor Systems Lab).
Despite the prevalence and impact of RMD, there is currently a lack of research on effective methods for quantifying and monitoring the severity of the disorder.
In this project, we want to develop and validate a system for quantifying RMD movements using one or more body-mounted IMU sensors. The goal is to provide a reliable and objective measure of RMD episodes, which can be used to quantify the disorder and monitor the effectiveness of potential treatments.
Your task will be the development of a kinematics model of a human body using data from one or more body-worn IMU sensors and to define a metric based on existing literature for assessing the severity of RMD. One key challenge is that the system should even work on moving platforms such as the Somnomat Casa.
Your task will be the development of a kinematics model of a human body using data from one or more body-worn IMU sensors and to define a metric based on existing literature for assessing the severity of RMD. One key challenge is that the system should even work on moving platforms such as the Somnomat Casa.
You will be working at the Sensory-Motor Systems Lab in a highly motivated environment. You will have access to our modern infrastructure, including a fully equipped electronics lab and machine shop. Also, you will be in close contact with mechanical-, electronic- and software engineers to discuss your ideas.
You will be working at the Sensory-Motor Systems Lab in a highly motivated environment. You will have access to our modern infrastructure, including a fully equipped electronics lab and machine shop. Also, you will be in close contact with mechanical-, electronic- and software engineers to discuss your ideas.
Ideally, you have an engineering (e.g. in Robotics, System, and Control) background or have worked with biomedical sensors. Currently, we are using IMUs from Mbientlab to stream and record the data to a Raspberry PI.
Ideally, you have an engineering (e.g. in Robotics, System, and Control) background or have worked with biomedical sensors. Currently, we are using IMUs from Mbientlab to stream and record the data to a Raspberry PI.
Alexander Breuss, alexander.breuss@hest.ethz.ch
Please send me your CV and a short motivation letter. Please also mention if you have worked on similar projects in the past.
Alexander Breuss, alexander.breuss@hest.ethz.ch
Please send me your CV and a short motivation letter. Please also mention if you have worked on similar projects in the past.