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ROBOTIC BEDS FOR SLEEP-RELATED BREATHING DISORDERS: DETERMINATION OF INTERVENTION PARAMETERS
Intermittent partial or complete obstruction of the upper airways during the night can lead to serious health issues. In most cases, these obstructions are caused by gravitational forces in supine position that act on relaxed throat tissue. Conventional ways of preventing airway obstructions include appliances that make sleeping in supine position uncomfortable or non-invasive ventilators that apply non-physiological continuous positive airway pressures to keep the airways open. We have developed three specialized robotic beds that are capable of detecting partial or full airway obstructions and can apply position changes, thereby aiming to treat airway obstruction. Tunable parameters include angle and duration from intervention onset to intervention completion (“speed”), as well as rocking frequencies and accelerations. Selecting the parameters in a way that they provide an effective intervention without causing arousals / awakenings during the night is key.
Keywords: controlled positional therapy
obstructive sleep apnea
closed-loop intervention
sleep scoring
personalized medicine
study design
Not specified
Your task will be to identify suitable intervention parameters for the three beds above. In particular, we want to conduct a small study where we measure the EEG of the participants and once they have reached a certain sleep stage, trigger the intervention. Work packages include:
1. Literature Research
1. Identification of Intervention Parameters
1. Study Design and Ethics Proposal
1. Participant Recruitment
1. Data Collection
1. Data Analysis
Your task will be to identify suitable intervention parameters for the three beds above. In particular, we want to conduct a small study where we measure the EEG of the participants and once they have reached a certain sleep stage, trigger the intervention. Work packages include:
1. Literature Research 1. Identification of Intervention Parameters 1. Study Design and Ethics Proposal 1. Participant Recruitment 1. Data Collection 1. Data Analysis
Not specified
We expect a highly motivated bachelor, semester, or master student. Although not a prerequisite, ideally you have some experience with study design, sleep scoring, and data analysis.
We expect a highly motivated bachelor, semester, or master student. Although not a prerequisite, ideally you have some experience with study design, sleep scoring, and data analysis.
Depending on the type of thesis (Bachelor / Semester / Master) and your background, the workload can be adjusted. Moreover, you will receive constant support from our engineers and civil servants to conduct this project.
If interested, please send your application including your CV and most recent transcript to Alexander Breuss (alexander.breuss@hest.ethz.ch). We are looking forward to hearing from you!
Depending on the type of thesis (Bachelor / Semester / Master) and your background, the workload can be adjusted. Moreover, you will receive constant support from our engineers and civil servants to conduct this project.
If interested, please send your application including your CV and most recent transcript to Alexander Breuss (alexander.breuss@hest.ethz.ch). We are looking forward to hearing from you!